CUI Bin

Department of Computer Science and Technology  
Peking University, China

Publications [ My DBLP entry ]

2024

  1. Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui:
    "CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models"
    SIGMOD 2024

  2. Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Jian Tang, Bin Cui:
    "NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention"
    SIGMOD 2024 (Industry)

  3. Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui:
    "Experimental Analysis of Large-scale Learnable Vector Storage Compression"
    VLDB 2024

  4. Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui:
    "OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine"
    VLDB 2024

  5. Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui:
    "An Efficient Transfer Learning Based Configuration Adviser for Database Tuning"
    VLDB 2024

  6. Shuaipeng Li, Penghao Zhao, Hailin Zhang, Samm Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin CUI, Di Wang:
    "Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling"
    NeurIPS 2024

  7. Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin CUI:
    "LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing"
    NeurIPS 2024

  8. Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin CUI:
    "Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models"
    NeurIPS 2024

  9. Xinchen Zhang, Ling Yang, YaQi Cai, Zhaochen Yu, Kai-Ni Wang, xie jiake, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin CUI:
    "RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models"
    NeurIPS 2024

  10. Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin CUI:
    "Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters"
    NeurIPS 2024

  11. Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di ZHANG, Bin CUI:
    "VideoTetris: Towards Compositional Text-to-Video Generation:
    NeurIPS 2024

  12. Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui:
    "Enabling Parallelism Hot Switching for Efficient Training of Large Language Models"
    SOSP 2024

  13. Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
    "Reviving Efficient Attention for Long Context Language Modeling: A Survey"
    IJCAI 2024

  14. Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
    "Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation"
    ICDE 2024

  15. Wentao Zhang, YeXin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui:
    "NC-ALG: Graph-based Active Learning under Noisy Crowd"
    ICDE 2024

  16. Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
    "BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection"
    ICDE 2024

  17. Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, zhi xiong, Tong Yang, Bin Cui:
    "VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure"
    ICDE 2024

  18. Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui:
    "Online Detection of Outstanding Quantiles with QuantileFilter"
    ICDE 2024

  19. Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
    "Multi-View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation"
    ICDE 2024

  20. Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
    "HGAMLP: Heterogeneous Graph Attention MLP with De-redundancy Mechanism"
    ICDE 2024

  21. Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui:
    "MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization"
    ICDE 2024

  22. Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
    "BIM: Improving Graph Neural Networks with Balanced Influence Maximization"
    ICDE 2024

  23. Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui:
    "CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding"
    ICDE 2024

  24. Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui:
    "Newton sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton’s Law of Cooling"
    ICDE 2024

  25. Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi and Dahua Lin, Bin Cui, Zhihao Jia:
    "SpotServe: Serving Generative Large Language Models on Preemptible Instances"
    ASPLOS 2024 (Distinguished Artifact Award)

  26. Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
    "Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference"
    AAAI 2024

  27. Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
    "VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs"
    ICLR 2024

  28. Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang:
    "Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models"
    ICLR 2024

  29. Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:
    "Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing"
    ICLR 2024

  30. Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
    "Structure-Guided Adversarial Training of Diffusion Models"
    CVPR 2024

  31. Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
    "Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs"
    ICML 2024

  32. Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Wasim Sadiq:
    "Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks"
    KDD 2024

  33. Zijian Song, WenHan Zhang, LIFANG DENG, Jian Dong Zhang, Wu Zhihua, Kaigui Bian, Bin Cui:
    "Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement"
    KDD 2024

  34. Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian and Bin Cui:
    "MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation"
    CIKM 2024

  35. Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
    "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"
    IEEE Trans. Knowl. Data Eng. 36(2): 682-693 (2024)

  36. Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:
    "Diffusion Models: A Comprehensive Survey of Methods and Applications"
    ACM Comput. Surv. 56(4): 105:1-105:39 (2024)

  37. Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
    "Distributed Graph Neural Network Training: A Survey"
    ACM Comput. Surv. 56(8): 191:1-191:39 (2024)

  38. Zirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zihan Jiang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui:
    "BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic"
    IEEE Trans. Parallel Distributed Syst. 35(6): 777-794 (2024)

  39. Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui:
    “OpenBox: A Python Toolkit for Generalized Black-box Optimization”
    JMLR 25: 120:1-120:11 (2024)

  40. Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, and Bin Cui:
    "ProjPert: Projection-based Perturbation for Label Protection in Split Learning based Vertical Federated Learning"
    TKDE 2024(To appear)

  41. Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui:
    "Improving Automatic Parallel Training via Balanced Memory Workload Optimization"
    TKDE 2024(To appear)

  42. Zhuochen Fan, Xiangyuan Wang, Xiaodong Li, Jiarui Guo, Wenrui Liu, Haoyu Li, Sheng Long, Zheng Zhong, Tong Yang, Xuebin Chen, Bin Cui:
    "SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams"
    TON 2024(To appear)

  43. Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui:
    "Enabling Space-Time Efficient Range Queries with REncoder"
    VLDB Journal 2024(To appear)

  44. Xupeng Miao, Zhihao Jia, Bin Cui:
    "Demystifying Data Management for Large Language Models"
    SIGMOD Conference Companion 2024: 547-555 (Tutorial)

  45. Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
    "On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm"
    WWW (Companion Volume) 2024: 1280-1283 (Tutorial)

2023

  1. Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:
    Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.
    Proc. ACM Manag. Data 1(2): 146:1-146:21 (SIGMOD 2023)

  2. Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
    A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.
    Proc. ACM Manag. Data 1(2): 186:1-186:26 (SIGMOD 2023)

  3. Yuanpeng Li, Feiyu Wang, Xiang Yu, Yang Yilong, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig
    "LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead"
    ACM SIGMOD 2023

  4. Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, kun xie, Sha Wang, Tao Li, and Bin Cui:
    "TowerSensing: Linearly Compressing Sketches with Flexibility"
    SIGMOD 2023

  5. Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, zhongliang Li, and Bin Cui:
    "DBPA: A Benchmark for Transactional Database Performance Anomalies"
    SIGMOD 2023

  6. Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, and Bin Cui:
    "Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent Items"
    SIGMOD 2023

  7. Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, and Bin Cui:
    "JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation"
    SIGMOD 2023

  8. Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, and Bin Cui:
    "FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement"
    SIGMOD 2023

  9. Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
    "Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism"
    VLDB 2023 (Proc. VLDB Endow. 16(3): 470-479)

  10. Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, and Bin Cui:
    "Towards Designing and Learning Piecewise Space-Filling Curves"
    VLDB 2023

  11. Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, and Zhihao Jia:
    "SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training"
    VLDB 2023

  12. Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, and Bin Cui:
    "Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent"
    VLDB 2023 (Industry)

  13. Yang Li, Huaijun Jiang, Yu Shen, yide fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, and Bin Cui:
    "Towards General and Efficient Online Tuning for Spark"
    VLDB 2023 (Industry)

  14. Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, and Bin Cui:
    "Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction"
    ICDE 2023

  15. Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, and Bin Cui:
    "HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams"
    ICDE 2023

  16. Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, and Bin Cui:
    "KVSAgg: Secure Aggregation of Distributed Key-Value Sets"
    ICDE 2023

  17. Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang:
    "Finding Simplex Items in Data Streams"
    ICDE 2023

  18. Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, and Bin Cui:
    "SketchConf: A Framework for Automatic Sketch Configuration"
    ICDE 2023

  19. Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, and Bin Cui:
    "REncoder: A Space-Time Efficient Range Filter with Local Encoder"
    ICDE 2023

  20. Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Xu Huanyong, Di Peng, Yang Li, Wentao Zhang, and Bin CUI:
    "Rover: An online Spark SQL tuning service via generalized transfer learning"
    KDD 2023

  21. Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, and Bin CUI:
    "SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch"
    KDD 2023

  22. Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, and Bin CUI:
    "Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream"
    KDD 2023

  23. Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Hu Yutong, Tong Yang, Bin CUI, and Uhlig Steve:
    "MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming"
    KDD 2023

  24. Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
    "Improving Diffusion-Based Image Synthesis with Context Prediction"
    NeurIPS 2023

  25. Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui:
    "Model-enhanced Vector Index"
    NeurIPS 2023

  26. Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
    "Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference"
    MLSys Workshop NeurIPS 2023

  27. Jiasheng Zhang, Jie Shao, and Bin Cui:
    "StreamE: Lightweight Updates of Representations for Temporal Knowledge Graphs in Streaming Scenarios"
    SIGIR 2023

  28. Ziyu Guo, Renrui Zhang, Longtian Qiu, xianzheng ma, Xupeng Miao, Xuming He, and Bin Cui:
    "CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention"
    AAAI 2023

  29. Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, and Bin Cui:
    "ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies"
    AAAI 2023

  30. Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong:
    “Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning”
    CIKM 2023: 4380-4384

  31. Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui:
    “OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning”
    IJCAI 2023: 2142-2150

  32. Zeang Sheng, Wentao Zhang, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang and Bin Cui:
    "Graph-Enforced Neural Network for Attributed Graph Clustering"
    APWeb-WAIM 2023 (Best Paper Runner Up Award)

  33. Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui:
    “SteadySketch: Finding Steady Flows in Data Streams”
    IWQoS 2023: 1-9

  34. Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, and Bin Cui:
    "Graph Neural Networks in Recommender Systems: A Survey"
    ACM Computing Surveys 55(5): 97:1-97:37 (2023)

  35. Xupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, and Bin Cui:
    "Hetu: a highly efficient automatic parallel distributed deep learning system"
    Sci China Inf Sci, 2023, 66: 117101

  36. Shiyue HUANG, Yanzhao QIN, Xinyi ZHANG, Yaofeng TU, Zhongliang LI, Bin CUI:
    "A Survey on Performance Optimization for Database Systems"
    Sci. China Inf. Sci. 66(2) (2023)

  37. Xupeng Miao, Wentao Zhang, Yingxia Shao, Lei Chen, Ce Zhang, Jiawei Jiang, Bin Cui:
    "Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture"
     IEEE Trans. Knowl. Data Eng. 35(2): 1721-1733 (2023) (ICDE conference 2022 Poster)

  38. Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
    "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion"
    IEEE Trans. Knowl. Data Eng. 35(3): 2486-2499 () (ICDE conference 2022 Poster)

  39. Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang and Bin Cui:
    "A Sketch Framework for Approximate Data Stream Processing in Sliding Windows"
     IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424 (2023)

  40. Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui:
    “On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters”
    IEEE Trans. Knowl. Data Eng. 35(7): 7316-7327 (2023)

  41. Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
    “A Sketch Framework for Approximate Data Stream Processing in Sliding Windows”
    IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424 (2023)

  42. Zhuochen Fan, Yubo Zhang, Siyuan Dong, Yi Zhou, Fangyi Liu, Tong Yang, Steve Uhlig, Bin Cui:
    “HoppingSketch: More Accurate Temporal Membership Query and Frequency Query”
    IEEE Trans. Knowl. Data Eng. 35(9): 9067-9072 (2023)

  43. Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui:
    “Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation”
    IEEE Trans. Knowl. Data Eng. 35(9): 9462-9475 (2023)

  44. Ruijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang, Bin Cui:
    “BurstSketch: Finding Bursts in Data Streams”
    IEEE Trans. Knowl. Data Eng. 35(11): 11126-11140 (2023)

  45. Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
    “AutoML for Deep Recommender Systems: A Survey”
    ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023)

  46. Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
    "P2CG: A Privacy Preserving Collaborative Graph Neural Network Training Framework"
    VLDB J. 32(4): 717-736 (2023)

  47. Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
    "VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition"
    VLDB J. 32(2): 389-413 (2023)

  48. Jun Gao, Jiazun Chen, Bin Cui:
    "ICS-GNN+: Lightweight Interactive Community Search via Graph Neural Network"
    VLDB J. 32(2): 447-467 (2023)

2022

  1. Jiawei Jiang, Bin Cui, Ce Zhang:
    "Distributed Machine Learning and Gradient Optimization"
    Springer 2022, ISBN 978-981-16-3419-2, pp. 1-169 (Book)

  2. Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui:
    "HET-GMP: a Graph-based System Approach to Scaling Large Embedding Model Training"
    SIGMOD Conference : 470-480

  3. Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, and Bin Cui:
    "BlindFL: Vertical Federated Machine Learning without Peeking into Your Data"
    SIGMOD Conference : 1316-1330

  4. Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, and Bin Cui:
    "Towards Dynamic and Safe Configuration Tuning for Cloud Databases"
    SIGMOD Conference 2022: 631-645

  5. Yikai Zhao, Yinda Zhang, Yuanpeng Li, Yi Zhou, Chunhui Chen, Tong Yang, and Bin Cui
    "MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area"
    SIGMOD Conference 2022: 744-758

  6. Yahui Sun, Shuai Ma, Bin Cui:
    "Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties"
    SIGMOD Conference 2022: 874-888

  7. Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
    "HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework"
    Proc. VLDB Endow. 15(2): 312-320 （2022）  SDS Best Paper Award

  8. Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui :
    "Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation"
    Proc. VLDB Endow. 15(4): 752-765 ()

  9. Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
    "Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale"
    Proc. VLDB Endow. 15(6): 1256-1265 ()

  10. Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui
    "Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation"
     Proc. VLDB Endow. 15(7): 1426-1438 ()

  11. Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
    "An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs"
    Proc. VLDB Endow. 15(8): 1619-1631 (2022)

  12. Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
    "Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation"
    Proc. VLDB Endow. 15(9): 1808-1821 ()

  13. Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
    "Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update"
    Proc. VLDB Endow. 15(10): 2111-2120 ()

  14. Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
    "Contrastive Learning for Sequential Recommendation"
    ICDE Conference 2022: 1259-1273

  15. Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui,Uhlig Steve:
    "The Stair Sketch: Bringing more Clarity to Memorize Recent Events"
    ICDE Conference 2022: 164-177

  16. Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:
    "PeriodicSketch: Finding Periodic Items in Data Streams"
    ICDE Conference 2022: 96-109

  17. Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, and Jianxin Li:
    "HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache"
    ICDE Conference 2022: 1754-1766

  18. Xiaonan Nie, Xupeng Miao, Zhi Yang, and Bin Cui:
    "TSplit: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting"
    ICDE Conference 2022: 2615-2628

  19. Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
    "ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest"
    ICDE Conference 2022: 2224-2236

  20. Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
    "TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning"
    KDD 2022: 956-966

  21. Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
    "Transfer Learning based Search Space Design for Hyperparameter Tuning"
    KDD 2022: 967-977

  22. Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
    "Model Degradation Hinders Deep Graph Neural Networks"
    KDD 2022: 2493-2503

  23. Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, wen ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
    "Graph Attention Multi-Layer Perceptron"
    KDD 2022: 4560-4570

  24. Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui:
    "Analyzing Online Transaction Networks with Network Motifs"
    KDD 2022: 3098-3106

  25. Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
    "NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning"
    ICML 2022: 26467-26483

  26. Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Zhi Yang, Bin Cui:
    "Deep and Flexible Graph Neural Architecture Search"
    ICML 2022: 26362-26374

  27. Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang,Yangyu Tao, Zhi Yang, Bin Cui:
    "PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm"
    Web Conference 2022: 1817-1828 (Best Student Paper Award)

  28. Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin CUI:
    "DivBO: Diversity-aware CASH for Ensemble Learning"
    NeurIPS 2022

  29. Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin CUI:
    "Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels"
    ICLR 2022

  30. Renrui Zhang, Ziyu Guo, Zhang Wei, Peng Gao, Kunchang Li, Xupeng Miao, Yu Qiao, Hongsheng Li, Bin Cui:
    "PointCLIP: Point Cloud Understanding by CLIP"
    CVPR 2022: 8542-8552

  31. Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:
    Scalable Graph Sampling on GPUs with Compressed Graph.
    CIKM 2022: 2383-2392

  32. Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
    UDM: A Unified Deep Matching Framework in Recommender Systems.
    CIKM 2022: 3122-3130

  33. Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao and Bin Cui:
    "K-Core Decomposition on Super Large Graphs with Limited Resources"
    ACM SAC 2022: 413-422

  34. Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
    "CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs"
    IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022)

  35. Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui:
    "LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams"
    IEEE Trans. Knowl. Data Eng. 34(9): 4342-4356 (2022)

  36. Yuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang, Olivier Ruas, Gong Zhang, Bin Cui.
    " Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints".
    Transactions on Computers 71(4): 984-991 (2022)

  37. Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:
    "LECF: recommendation via learnable edge collaborative filtering"
    Sci. China Inf. Sci. 65(1) (2022)

  38. Huabing Ke, Sunling Gong,Jianjun He, Lei Zhang, Bin Cui, Yaqiang Wang, Jingyue Mo, Yike Zhou, Huan Zhang:
    "Development and application of an automated air quality forecasting system based on machine learning"
    Science of The Total Environment,806 (2022) 151204

  39. Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui:
    "AutoDC: an automatic machine learning framework for disease classification"
    Bioinform. 38(13): 3415-3421 (2022)

2021

  1. Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
    "Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce"
    SIGMOD Conference 2021: 2262-2270

  2. Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui:
    "BurstSketch: Finding Bursts in Data Streams"
    SIGMOD Conference 2021: 2375-2383

  3. Fangcheng Fu,Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
    "VF^2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning"
    SIGMOD Conference 2021: 563-576

  4. Xinyi Zhang, HONG WU, Chang Zhuo, Tieying Zhang, Shuowei Jin, Jian Tan, Feifei Li, Bin Cui:
    "ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases"
    SIGMOD Conference 2021: 2102-2114

  5. Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui :
    "ALG: Fast and Accurate Active Learning Framework for GraphConvolutional Networks"
    SIGMOD Conference 2021: 2366-2374

  6. Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:
    "On-Off Sketch: A Fast and Accurate Sketch on Persistence"
    VLDB 2021 14(2): 128-140

  7. Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui :
    "EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge"
    VLDB 2021 14(3): 320-328

  8. Yahui Sun, Xiaokui Xiao, Bin Cui, Saman Halgamuge, Theodoros Lappas, Jun Luo:
    "Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights"
    VLDB 2021 14(7): 1137-1149

  9. Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
    "FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation"
    VLDB 2021 14(11): 2167-2176

  10. Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
    VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.
    VLDB 2021 14(11): 2167-2176

  11. Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
    Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.
    VLDB 2021 14(11): 2473-2482

  12. Xupeng Miao*, Nezihe Merve Gürel*, Wentao Zhang*, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang:
    "DeGNN: Improving Graph Neural Networks with Graph Decomposition"
    KDD 2021: 1223-1233

  13. Wentao Zhang, Jiang Yuezihan, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
    "ROD: Reception-aware Online Distillation for Sparse Graphs"
    KDD 2021: 2232-2242

  14. Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huai Jun Jiang, Ming Chao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui: 
    "OpenBox: A Generalized Black-​box Optimization Service"
    KDD 2021: 3209-3219

  15. Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
    "UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling"
    ICDE 2021: 516-527

  16. Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
    "Explore User Neighborhood for Real-time E-commerce Recommendation"
    ICDE 2021: 2464-2475

  17. Rong Zhu, Andreas Pfadler, Yuxing Han, Xiaoke Yang, Feng Ye, Zhengping Qian, Jingren Zhou, Bin Cui:
    "Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications"
    ICDE 2021: 2613-2624

  18. Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
    "CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs"
    ICDE 2021: 2330-2331 (TKDE Poster)

  19. Yikuan Xia, Jun Gao, Bin Cui:
    "iMap: Incremental Node Mapping between Large Graphs Using GNN"
    CIKM 2021: 2191-2200

  20. Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
    "CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation"
    CIKM 2021: 4253-4263

  21. Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
    "MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements"
    AAAI 2021: 8491-8500

  22. Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
    "Challenges and Opportunities of Building Fast GBDT Systems"
    IJCAI 2021: 4661-4668

  23. Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
    Node Dependent Local Smoothing for Scalable Graph Learning
    NeurIPS 2021

  24. Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui
    RIM: Reliable Influence-based Active Learning on Graphs
    NeurIPS 2021

  25. , , :
    "A classification framework for multivariate compositional data with Dirichlet feature embedding" 
    Knowl. Based Syst. 212: 106614 (2021)

  26. , , , , :
    'Enhanced review-based rating prediction by exploiting aside information and user influence" 
    Knowl. Based Syst. 222: 107015 (2021)

  27. Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu and Bin Cui:
    "Sys-TM: A Fast and General Topic Modeling System"
    TKDE 2021 33(6): 2790-2802

  28. Yingxia Shao, Shiyue Huang, Yawen L, Xupeng Miao, Bin Cui, Lei Chen:
    "Memory-Aware Framework for Fast and Scalable Second-Order Random Walk over Billion-Edge Natural Graphs"
    VLDBJ 2021 30(5): 769-797

  29. Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li::
    "Model averaging in distributed machine learning: a case study with Apache Spark"
    VLDBJ 2021 30(4): 693-712

2020

  1. Yingxia Shao, Bin Cui, Lei Chen:
    "Large-scale Graph Analysis: System, Algorithm and Optimization".
    Springer 2020, ISBN 978-981-15-3927-5, pp. 1-146 (Book)

  2. Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, and Lei Chen:
    " Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs"
    SIGMOD Conference 2020,1797-1812

  3. Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui:
    " Reliable Data Distillation on Graph Convolutional Network"
    SIGMOD Conference 2020: 1399-1414

  4. Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, and Bin Cui:
    " Hunting Multiple Bumps in Graphs"
    VLDB 2020, 13(5): 656-669 

  5. Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, and Bin Cui:
    “ Efficient Automatic CASH via Rising Bandits”
    AAAI 2020: 4763-4771

  6. Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, and Ce Zhang :
    "ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent"
    ICDE Conference 2020:1513-1524

  7. Wentao Zhang, Jiawei Jiang, Yingxia Shao, and Bin Cui:
    “ Efficient Diversity-Driven Ensemble for Deep Neural Networks”
    ICDE Conference 2020    :73-84

  8. Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, and Lizhen Cui:
    "Group Recommendation with Latent Voting Mechanism"
    ICDE Conference 2020:121-132

  9. Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, zhipeng zhang, and Bin Cui:
    “PSGraph: How Tencent trains large-scale graphs with Spark?”
    ICDE Conference 2020    :1549-1557

  10. Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui:
    "Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript"
    ICML 2020: 3304-3314

  11. Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
    "Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows"
    KDD 2020: 1015-1025

  12. Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang:
    "WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams"
    KDD 2020: 1574-1584

  13. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
    "Snapshot boosting: a fast ensemble framework for deep neural networks"
    Sci. China Inf. Sci. 63(1): 112102 (2020)

  14. Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui:
    "GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network"
    Data Sci. Eng. 5(4): 433-447 (2020)

  15. Lingtong Liu, Yulong Shen, Yibo Yan, Tong Yang, Muhammad Shahzad, Bin Cui, Gaogang Xie:
    "SF-Sketch: A Two-Stage Sketch for Data Streams"
    IEEE Trans. Parallel Distributed Syst. 31(10): 2263-2276 (2020)

  16. Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui.
    "SKCompress: Compressing Sparse and Nonuniform Gradient in Distributed Machine Learning."
    VLDB Journal 2020, 29(5): 945-972 ()

2019

  1. Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao:
    "PS2: Parameter Server on Spark"
    SIGMOD Conference 2019: 376-388

  2. Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
    “An Experimental Evaluation of Large Scale GBDT Systems”
    PVLDB 12(11): 1357-1370 (2019)

  3. Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui:
    "Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior."
    KDD 2019: 1984-1992

  4. Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui:
    “MLlib*: Fast Training of GLMs Using Spark MLlib”
    ICDE 2019: 1778-1789

  5. Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui:
    “Multi-copy Cuckoo Hashing”
    ICDE 2019: 1226-1237

  6. Yang Tong, Dongsheng Yang, Jie Jiang, Siang Gao, Bin Cui, Lei Shi, Xiaoming Li:
    “Coloring Embedder: A Memory Efficient Data Structure for Answering Multi-set Query”
    ICDE 2019: 1142-1153

  7. Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang:
    “Sparse Gradient Compression for Distributed SGD”
    DASFAA (2) 2019: 139-155

  8. Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui:
    "FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search."
    APWeb/WAIM (2) 2019: 27-41

  9. Zhouyi Sun, Siang Gao, Bingqing Liu, Yufei Wang, Tong Yang, Bin Cui:
    “Magic Cube Bloom Filter: Answering Membership Queries for Multiple Sets”
    BigComp 2019: 1-8

  10. Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui:
    “Fast De-anonymization of Social Networks with Structural Information”
    Data Science and Engineering 4(1): 76-92 (2019)

  11. Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li:
    "Fast and accurate stream processing by filtering the cold. "
    VLDB J. 28(5): 735-763 (2019)

  12. Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li:
    "Fine-grained probability counting for cardinality estimation of data streams. "
    World Wide Web 22(5): 2065-2081 (2019)

2018

  1. Jiawei Jiang, Bin Cui, Ce Zhang and Fangcheng Fu
    "DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions"
    SIGMOD 2018    : 1363-1376

  2. Jiawei Jiang, Fangcheng Fu, Tong Yang and Bin Cui
    "SketchML: Accelerating Distributed Machine Learning with Data Sketches"
    SIGMOD 2018: 1269-1284

  3. Yang Zhou, Tong Yang, Jie Jiang, Bin Cui, Minlan Yu, Xiaoming Li, Steve Uhlig.
    "Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing"
    SIGMOD 2018: 741-756

  4. Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu:
    “Fast Parallel Path Concatenation for Graph Extraction”
    ICDE 2018: 1753-1754

  5. Long Guo, Dongxiang Zhang, Lei Wang, Han Wang, Bin Cui:
    "CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification"
    ER 2018: 571-585

  6. Zichen Wang, Tian Li, Yingxia Shao, Bin Cui:
    "CUTE: Querying Knowledge Graphs by Tabular Examples"
    APWeb/WAIM (1) 2018: 461-465

  7. Yuanxing Zhang, Kaigui Bian, Hu Tuo, Bin Cui, Lingyang Song, Xiaoming Li:
    “Geo-Edge: Geographical Resource Allocation on Edge Caches for Video-on-Demand Streaming”
    BigCom 2018: 189-194

  8. Junzhi Gong, Deyu Tian, Dongsheng Yang, Tong Yang, Tuo Dai, Bin Cui, Xiaoming Li:
    “SSS: An Accurate and Fast Algorithm for Finding Top-k Hot Items in Data Streams”
    BigComp 2018: 106-113

  9. Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
    “Fine-Grained Probability Counting: Refined LogLog Algorithm”
    BigComp 2018: 176-183

  10. Xiangyang Gou, Chenxingyu Zhao, Tong Yang, Lei Zou, Yang Zhou, Yibo Yan, Xiaoming Li, Bin Cui:
    “Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures”
    BigComp 2018: 278-285

  11. Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui:
    “GLM+: An Efficient System for Generalized Linear Models”
    BigComp 2018: 293-300

  12. Long Guo, Dongxiang Zhang, Yuan Wang, Huayu Wu, Bin Cui and Kian-Lee Tan
    "CO2: Inferring Personal Interests From Raw Footprints by Connecting the Offline World with the Online World"
    ACM Transactions on Information Systems, 2018

2017

  1. Jiawei Jiang, Bin Cui, Ce Zhang and Lele Yu
    "Heterogeneity-aware Distributed Parameter Servers"
    SIGMOD 2017    : 463-478

  2. Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang
    “An Experimental Evaluation of SimRankbased Similarity Search Algorithms” , Code
    PVLDB 10(5): 601-612 ()

  3. Lele Yu, Ce Zhang, Yingxia Shao and Bin Cui
    "LDA*: A Robust and Large-scale Topic Modeling System ", Code (https://github.com/Tencent/angel)
    PVLDB 10(11):  ()

  4. Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, and Ce Zhang
    "MLog: Towards Declarative In-Database Machine Learning ", Code (https://github.com/DS3Lab/MLog)
    PVLDB 10 () (Demo)

  5. Jie Jiang, Jiawei Jiang,  Bin Cui and Ce Zhang
    "TencentBoost: A Gradient Boosting Tree System with Parameter Server"
    ICDE 2017: 281-284 (Industry Paper)

  6. Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li , Bin Cui and Gaogang Xie
    "SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items"
    ICDE 2017: 103-106 (Short Paper)

  7. Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui and Kian-Lee Tan
    "From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation"
    ICDE 2017: 123-126 (Short Paper)

  8. Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, and Ning Xu
    "StroMAX: Partitioning-based Scheduler for Real-time Stream Processing System"
    DASFAA 2017: 269-288

  9. Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, and Jin Xu
    "Fast Parallel Path Concatenation for Graph Extraction"
     IEEE Trans. Knowl. Data Eng. 29(10): 2210-2222 (2017)

  10. Xiaogang Shi, Bin Cui, Gillian Dobbie, and Beng Chin Ooi
    “UniAD: A Unified Ad-hoc Data Processing System”
    ACM Transactions on Database System 42 (1):6, 2017

  11. Jie Jiang, Lele Yu, Jiawei Jiang, Yuhong Liu, and Bin Cui
    “Angel: A new large scale machine learning system” , Code (https://github.com/Tencent/angel)
    NSR 2017, 1-21.

  12. Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei and Lele Yu
    "GVoS: A General System for Near-Duplicate Video Related Applications on Storm"
    ACM Transactions on Information Systems, 36(1):3, 2017

2016
  1. Xiaogang Shi, Bin Cui, Yingxia Shao, and Yunhai Tong
    “Tornado: A System for Real-Time Iterative Analysis over Evolving Data”
    SIGMOD Conference 2016: 417-430
     
  2. Yanxiang Huang, Bin Cui, Jie Jiang, Kunqiang Hong, Wenyu Zhang, and Yiran Xie
    "Real-time Video Recommendation Exploration"
    SIGMOD Conference 2016: 35-46
     
  3. Hongzhi Yin, Bin Cui
    “Spatio-Temporal Recommendation in Social Media”
    Springer Briefs in Computer Science,Springer 2016, ISBN 978-981-10-0747-7, pp. 1-114
     
  4. Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung
    “Adapting to User Interest Drift for POI Recommendation”, Code
    IEEE Transaction on Knowledge and Data Engeering 28(10):2566-2581, 2016
     
  5. Bin Cui, Jie Jiang, Quanlong Huang, Ying Xu, Yanjun Gui and Wenyu Zhang
    "POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm"
    Data Science and Engineering (Springer),  1(1): 41-50, 2016
     
  6. Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, and Quanqing Xu
    "Distinguishing Re-sharing Behaviors from Re-creating Behaviors in Information Diffusion"
    World Wide Web  19(6): 1203-1230, 2016
      
  7. Hongzhi Yin, Bin Cui,  Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia Sadiq
    “Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation”
    ACM Transactions on Information System 35(2):11, 2016
     
    8.
 
2015
  1. Yingxia Shao, Bin Cui,  Lei Chen,  Mingming Liu, and Xing Xie
    "An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs"
    PVLDB 2015, 8(8): 838-849
     
  2. Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, and Ying Xu
    "TencentRec: Real-time Stream Recommendation in Practice"
    ACM SIGMOD Conference 2015: 227-238
     
  3. Zhiting Hu, Junjie Yao, Bin Cui, and Exic P. Xing
    "Community Level Diffusion Extraction", Code
    ACM SIGMOD Conference 2015: 1555-1569
     
  4. Lele Yu, Yingxia Shao, and Bin Cui
    "Exploiting matrix dependency for efficient distributed matrix computation"
    ACM SIGMOD Conference 2015: 93-105
     
  5. Jinling Jiang, Hua Lu, Bin Yang, and Bin Cui
    "Finding Top-k Local Users in Geo-Tagged Social Media Data"
    IEEE ICDE Conference 2015: 267-278
     
  6. Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, and Xiaofang Zhou.
    "Joint Modeling of Users’ Interests and Mobility Patterns for Point-of-Interest Recommendation ", Code
    ACM Multimedia Conference 2015:819-822
     
  7. Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, and Quanqing Xu
    "Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion"
    ICDE Workshops 2015: 174-181
      
  8. Yingxia Shao, Bin Cui, and Lin Ma
    "PAGE: A Partition Aware Engine for Parallel Graph Computation"
    IEEE Transaction on Data and Knowledge Engineering, 27(2): 518-530 (2015)
     
  9. Ning Xu, Bin Cui, Lei Chen, Zi Huang, and Yingxia Shao
    "Heterogeneous Environment Aware Streaming Graph Partitioning"
    IEEE Transaction on Data and Knowledge Engineering, 27(6): 1560-1572 (2015)
     
  10. Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu and Xiaofang Zhou
    “Dynamic User Modeling in Social Media Systems”
    ACM Transactions on Information Systems, 33(3):10, 2015  
     
  11. Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu and Chengqi Zhang
    “Modeling Location-based User Rating Profiles for Personalized Recommendation”, Code
    ACM Transactions on Knowledge Discovery from Data, 9(3):19, 2015  
     
  12. Yanxiang Huang, Lele Yu, Xiang Wang, and Bin Cui
    "A Multi-Source Integration Framework for User Occupation Inference in Social Media Systems"
    World Wide Web 18(5): 1247-1267 (2015)
     
2014
  1. Xiaogang Shi, Bin Cui, Gillian Dobbie, and Beng Chin Ooi
    "Towards Unified Ad-Hoc Data Processing"
    ACM SIGMOD Conference 2014: 1263-1274
     
  2. Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, and Zi Huang
    "A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems", Code
    ACM SIGMOD Conference 2014: 1543-1554
     
  3. Yinxia Shao, Lei Chen, and Bin Cui
    "Efficient Cohesive Subgraph Detection in Parallel", Code
    ACM SIGMOD Conference 2014: 613-624
     
  4. Yinxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, and Ning Xu
    "Parallel Subgraph Listing in a Large-Scale Graph" , Code
    ACM SIGMOD Conference 2014: 625-636
     
  5. Ning Xu, Lei Chen, Bin Cui
    “LogGP: A Logbased Dynamic Graph Partitioning Method”
    PVLDB 2014 7(14): 1917-1928 
     
  6. Zhiting Hu, Junjie Yao, and Bin Cui
    "User Group Oriented Temporal Dynamics Exploration"
    The Twenty-Eighth AAAI Conference on Artificial Intelligence 2014: 66-72
     
  7. Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, and Ling Chen
    "LCARS: A Spatial Item Recommender System"
    ACM Transactions on Information Systems,2014 32(3): 11
     
  8. Yanfei Lv, Bin Cui, Xuexuan Chen, and Jing Li
    "HAT: An Efficient Buffer Management Method for Flash-based Hybrid Storage Systems"
    Frontier of Computer Science, 8(3): 440-455 2014
     
  9. Bin Cui, Hong Mei, and Beng Chin Ooi
    "Big data: the driver for innovation in databases"
    National Science Review, 1 (1): 27-30, 2014

2013

  1. Zi Huang, Jiajun Liu, Bin Cui, and Xiaoyong Du
    "Gram-based String Paradigm for Efficient Video Subsequence Search"
    IEEE Transactions on Multimedia, 15 (3): 608-620, 2013
     
  2. Xiang Wang, Lele Yu, Junjie Yao, and Bin Cui
    "A Multiple Feature Integration Model to Infer Occupation from Social Media Records".
    WISE Conference 2013: 137-150  (Best Student Paper Award)
     
  3. Chen Chen, Hongzhi Yin, Junjie Yao, and Bin Cui
    "TeRec: A Temporal Recommender System Over Tweet Stream"
    Proceedings of the VLDB Endowment (PVLDB), 6(12): 1254-1257, 2013
     
  4. Yanfei Lv, Bin Cui, Xuexuan Chen, and Jing Li
    "Hotness-aware buffer management for flash-based hybrid storage systems"
     ACM CIKM Conference 2013: 1631-1636
     
  5. Yingxia Shao, Junjie Yao, Bin Cui, and Lin Ma
    "PAGE: a partition aware graph computation engine"
    ACM CIKM Conference 2013: 823-828
     
  6. Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, and Ling Chen
    "LCARS: A Location-Content-Aware Recommender System", Code
    ACM SIGKDD Conference 2013: 221-229
     
  7. Xiaogang Shi, Yanfei Lv, Yingxia Shao, and Bin Cui
    "bCATE: A Balanced Contention-Aware Transaction Execution Model for Highly Concurrent OLTP Systems"
    WAIM Conference, 2013: 769-780
     
  8. Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, and Junjie Yao
    "A Unified Model for Stable and Temporal Topic Detection from Social Media Data", Code
    IEEE ICDE Conference 2013: 661-672
     
  9. Yanfei Lv, Xuexuan Chen, Guangyu Sun, and Bin Cui
    "A Probabilistic Data Replacement Strategy for Flash-Based Hybrid Storage System"
    APWeb Conference 2013: 360-371
2012
  1. Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, and Guojun Qi
    "Recommending Flickr groups with social topic model"
    Information Retrieval,15(3-4): 278-295, 2012
     
  2. Xin Cao, Gao Cong, Bin Cui, Christian Jenson, and Quan Yuan
    "Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives"
    ACM Transactions on Information Systems, 30(2): 7, TOIS 2012
     
  3. Junjie Yao, Bin Cui, and Yuxin Huang
    "Evolutionary Taxonomy Construction from Dynamic Tag Space"
    World Wide Web, 15(5-6): 581-602, 2012
     
  4. Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, and Heng Tao Shen
    "Extracting Representative Motion Flows for Effective Video Retrieval"
    Multimedia Tools and Applications,58(3): 687-711, 2012
     
  5. Junjie Yao, Bin Cui, Yuxin Huang, and Yanhong Zhou
    "Bursty event detection from collaborative tags"
    World Wide Web, 15(2): 171-195, 2012
     
  6. Bin Cui, Zhe Zhao, and Wee Hyong Tok
    "A Framework for Similarity Search of Time Series Cliques with Natural Relations"
    IEEE Transaction on Data and Knowledge Engineering, 24(3): 385-398, 2012
     
  7. Zijun Xue, Junjie Yao, and Bin Cui
    "Temporal provenance discovery in micro-blog message streams"
    ACM SIGMOD Conference 2012: 864 (abstract only)
     
  8. Yueguo Chen, Bin Cui, Xiaoyong Du, and Anthony Tung
    "Efficient Approximation of The Maximal Preference Scores by Lightweight Cubic Views"
    EDBT Conference 2012: 240-251
     
  9. Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, and Chen Chen
    "Challenging the Long Tail Recommendation", Code
    Proceedings of the VLDB Endowment (PVLDB), 5(9): 896-907, 2012
     
  10. Junjie Yao, Bin Cui, Liansheng Hua, and Yuxin Huang
    "Keyword Query Reformulation on Structured Data"
    IEEE ICDE Conference 2012: 953-964
     
  11. Junjie Yao, Bin Cui, Zijun Xue, and Qingyun Liu
    "Provenance-based Indexing Support in Micro-blog Platforms "
    IEEE ICDE Conference  2012: 558-569
2011
  1. Jiajun Liu, Zi Huang, Heng Tao Shen, and Bin Cui
    "Correlation-based Retrieval for Heavily Changed Near-duplicate Videos"
    ACM Transactions on Information Systems, 29(4): 21, 2011
     
  2. Lijiang Chen, Bin Cui, and Hua Lu
    "Constrained Skyline Query Processing against Distributed Data Sites"
    IEEE Transaction on Data and Knowledge Engineering, 23(2): 204-217, 2011
     
  3. Hongzhi Yin, Bin Cui, and Yuxin Huang
    "Finding a Wise Group of Experts in Social Networks"
    ADMA Conference 2011, 381-394
     
  4. Yanfei Lv, Bin Cui, Bingsheng He, and Xuexuan Chen
    "Operation-Aware Buffer Management in Flash-based Systems"
    ACM SIGMOD Conference 2011: 13-24
     
  5. Yanfei Lv, Jing li, Bin Cui, and Xuexuan Chen
    "Log-Compact R-Tree: an Efficient Spatial Index for SSD"
    The First International Workshop on Flash-based Database Systems (FlashDB) 2011: 202-213
     
  6. Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, and Yanhong Zhou
    "Modeling User Expertise in Folksonomies by Fusing Multi-type Features"
    DASFAA Conference 2011: 53-67
     
2010
  1. Zi Huang, Heng Tao Shen, Jie Shao, Bin Cui, and Xiaofang Zhou
    "Practical Online Near-duplicate Subsequence Detection for Continuous Video Streams"
    IEEE Transactions on Multimedia, 12(5):386-398, 2010
     
  2. Bin Cui, Jiakui Zhao, and Dongqing Yang
    "Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases"
    IEEE Transaction on Data and Knowledge Engineering, 22(2): 219-233, 2010
     
  3. Chen Liu, Bin Cui, and Anthony K. H. Tung
    "Integrating Web 2.0 Resources By Wikipedia"
    ACM MM Conference 2010: 707-710
     
  4. Bin Cui, Junjie Yao, Gao Cong, and Yuxin Huang
    "Evolutionary Taxonomy Construction from Dynamic Tag Space"
    WISE Conference 2010:105-119 (Best Paper Runner-up Award)
     
  5. Yanfei Lv, Xuexuan Chen, and Bin Cui
    "ACAR: an Adaptive Cost Aware Cache Replacement Approach for Flash Memory"
    WAIM Conference 2010:558-569
     
  6. Bin Cui, Ce Zhang, and Gao Cong
    "Content-enriched Classifier for Web Video Classification"
    ACM SIGIR Conference 2010: 619-626
     
  7. Junjie Yao, Bin Cui, Yuxin Huang, and Xin Jin
    "Temporal and Social Context Based Burst Detection From Folksonomies"
    AAAI Conference 2010
     
  8. Bin Cui, Anthony Tung, Ce Zhang, and Zhe Zhao
    "Multiple Features Fusion for Social Media Applications"
    ACM SIGMOD Conference 2010: 435-446
     
  9. Xin Cao, Gao Cong, Bin Cui, and C. S. Jensen
    "A Generalized Framework of Exploring Category Information for Question Retrieval in Community Question Answer Archives"
    WWW Conference 2010: 201-210
     
  10. Lijiang Chen, Bin Cui, Linhao Xu, and Heng Tao Shen
    "Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks"
    DASFAA Conference 2010: 3-18
     
  11. Bin Cui, Jiakui Zhao, and Gao Cong
    "ISIS: A New Approach for Efficient Similarity Search in Sparse Databases"
    DASFAA Conference 2010: 231-245
     
  12. Junjie Yao, Bin Cui, Yuxin Huang, and Yanhong Zhou
    "Detecting Bursty Events in Collaborative Tagging Systems"
    IEEE ICDE Conference 2010: 780-783
     
  13. Zhe Zhao, Bin Cui, Wee Hyong Tok, and Jiakui Zhao
    "Efficient Similarity Matching of Time Series Cliques with Natural Relations"
    IEEE ICDE Conference 2010: 908-911
     
2009
  1. Bin Cui, Linhao Xu, and Jiakui Zhao
    “Linking Identical Neighborly Partitions for Efficient High-dimensional Similarity Search in Unstructured Peer-to-Peer Systems”
    Distributed and Parallel Databases, 26(3): 207-229, 2009
     
  2. Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, and Yafei Dai
    "Hybrid Information Retrieval Policies Based on Cooperative Cache in Mobile P2P Networks"
    Frontiers of Computer Science in China, 3(3): 381-395, 2009
     
  3. Quanqing Xu, Xiaoxiao Hou, Bin Cui, Heng Tao Shen, and Yafei Dai
    "Facilitating Effective Resource Publishing and Searching in DHT Networks"
    HKIE Transactions, 16(3): 32-41, 2009
     
  4. Bin Cui, Lijiang Chen, Linhao Xu, Hua Lu, Guojie Song, and Quanqing Xu
    "Efficient Skyline Computation in Structured Peer-to-Peer Systems"
    IEEE Transactions on Knowledge and Data Engineering, 21(7): 1059-1072, 2009
     
  5. Zi Huang, Heng Tao Shen, Jie Shao, XiaoFang Zhou, and Bin Cui
    "Bounded Coordinate System Indexing for Real-time Video Clip Search"
    ACM Transactions on Information Systems, 27(3),  2009
     
  6. Jialie Shen, J. Shepherd, Bin Cui, and Kian-Lee Tan
    "A Novel Framework for Efficient Automated Singer Identification in Large Music Databases"
    ACM Transactions on Information Systems, 27(3),  2009
     
  7. Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, and Dongqing Yang
    "Accelerating Sequence Searching: Dimensional Reduction Method"
    Knowledge and Information Systems, 20(3): 301-322, 2009
     
  8. Bo Peng, Bin Cui, and Xiaoming Li
    "Implementation Issues of A Cloud Computing Platform"
    IEEE Data Engineering Bulletin, 32(1): 59-66 2009
     
  9. Lijiang Chen, Bin Cui, Heng Tao Shen, Wei Lu, and Xiaofang Zhou
    "Efficient Information Retrieval in Mobile Peer-to-Peer Networks"
    ACM CIKM Conference 2009: 967-976
     
  10. Xin Cao, Gao Cong, Bin Cui, C. S. Jensen, and Ce Zhang
    "The Use of Categorization Information in Retrieving Questions"
    ACM CIKM Conference 2009: 265-274
     
  11. Junjie Yao, Yuxin Huang, and Bin Cui
    "Constructing Evolutionary Taxonomy of Collaborative Tagging Systems"
    ACM CIKM Conference 2009: 2085-2086
     
  12. Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, and Yafei Dai
     "Hybrid Retrieval Mechanisms in Vehicle-based P2P Networks"
    The International Conference on Computational Science 2009: 303-314
     
  13. Quanqing Xu, Heng Tao Shen, Bin Cui, Xiaoxiao Hou, and Yafei Dai
    "A Novel Content Distribution Mechanism in DHT Networks"
    IFIP/TC6 NETWORKING 2009: 742-755
     
  14. Ce Zhang, Bin Cui, Gao Cong, and Yujing Wang
    "A Revisit of Query Expansion with Different Semantic Levels"
    DASFAA Conference 2009: 662-676
     
  15. Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, and Ce Zhang
    "Video Annotation System Based on Categorizing and Keyword Labeling"
    DASFAA Conference 2009:764-767
     
  16. Yanhong Zhou, Gao Cong, Bin Cui, C. S. Jensen, and Junjie Yao
     "Routing Questions to Right Users in Online Communities"
     IEEE ICDE Conference 2009: 700-711
     

2008

  1. Lvan Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, and Xinbiao Zhou
    "PGG: An Online Pattern Based Approach for Stream Variation Management"
     J. Comput. Sci. Technol. 23 (4): 497-515, 2008
      
  2. Yang Lu, Jiakui Zhao, Lijun Chen, Bin Cui, and Dongqing Yang
    "Effective Skyline Cardinality Estimation on Data Streams"
    DEXA Conference 2008: 241-254
     
  3. Quanqing Xu, Heng Tao Shen, Yafei Dai, Bin Cui, and Xiaofang Zhou
    "Achieving Effective Multi-term Queries for Fast DHT Information Retrieval"
    WISE Conference 2008: 20-35
     
  4. Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, and Dongqing Yang
    "Squeezing Long Sequence Data for Efficient Similarity Search"
    APWEB Conference 2008: 438-449
     
  5. Ce Zhang, Yujing Wang, Bin Cui, and Gao Cong
    "Semantic Similarity Based on Compact Concept Ontology"
    WWW Conference 2008: 1125-1126
     
  6. Yang Lu, Bin Cui, Jiakui Zhao, Hua Lu, and Jialie Shen
    "Towards Efficient and Flexible KNN Query Processing in Real-Life Road Networks"
    WAIM Conference 2008: 230-237
     
  7. Lijiang Chen, Bin Cui, Hua Lu, Linhao Xu, and Quaniqng Xu
    "iSky: Efficient and Progressive Skyline Computing in a Structured P2P Network"
    IEEE ICDCS Conference 2008: 160-167
     
  8. Bin Cui, H. V. Jagadish, Beng Chin Ooi, and Kian Lee Tan
    "Compacting Music Signatures for Efficient Music Retrieval"
    EDBT Conference 2008: 229-240
     
  9. Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei Dai, and Yongluan Zhou
    "Parallel Distributed Processing of Constrained Skyline Queries by Filtering"
    IEEE ICDE Conference 2008: 546-555

2007

  1. Jialie Shen, J. Shepherd, Bin Cui,  and Ling Liu (Eds. Book)
    "    Intelligent Music Information Systems: Tools and Methodologies"
     IGI Global, Inc. August 2007,  ISBN-10: 1599046636, ISBN-13: 9781599046631
     
  2. Cui Yu, Bin Cui, Shuguang Wang, and Jianwen Su
    "Efficient Index-Based KNN Join Processing for High-dimensional Data".
    Information & Software Technology, Elsevier Science 49(4): 332-344, 2007
     
  3. Bin Cui, Ling Liu, Calton Pu, Jialie Shen, and Kian-Lee Tan
    "QueST: Querying Music Databases by Acoustic and Textual Features"
    ACM MM Conference 2007: 1055-1064
     
  4. Lvan Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, and Xinbiao Zhou
    "Effective Variation Management for Pseudo Periodical Stream"
    ACM SIGMOD Conference 2007: 257-268
     
  5. Bin Cui,Weining Qian, Linhao Xu, and Aoying Zhou
    "LINP: Supporting Similarity Search in Unstructured Peer-to-Peer Networks"
    APWeb/WAIM Joint Conference 2007: 127-135
     
  6. Dan Lin, Bin Cui, and Dongqing Yang
    "Optimizing Moving Queries Over Moving Object Data Streams"
    DASFAA Conference 2007: 563-575
     
  7. Jiakui Zhao, Dongqing Yang, Bin Cui, Lijun Chen, and Jun Gao
    "Evaluating MAX and MIN over Sliding Windows with Various Size Using the Exemplary Sketch"
    DASFAA Conference 2007: 652-663
     
  8. Guojie Song, Dongqing Yang, Y. Liu, Bin Cui, Ling Wu, and Kunqing Xie
    "An Optimized Process Neural Network Model"
    DASFAA Conference 2007: 898-904
     
  9. Guojie Song, Dongqing Yang, Bin Cui, Baihua Zheng, Yunfeng Liu, and Kunqing Xie
    "CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data"
    DASFAA Conference 2007: 664-675
     

2006

  1. Heng Tao Shen, Kian-Lee Tan, Xaio Fang Zhou, and Bin Cui
    "ICICLE: A semantic-based retrieval system for WWW images"
    ACM Multimedia System Journal 11(5): 438-454, 2006
     
  2. Bin Cui, Dan Li, and Kian-Lee Tan
    "IMPACT: A Twin-index Framework for Efficient Moving Object Query Processing"
    Data and Knowledge Engineering, Elsevier Science 59(1): 63-85, 2006
     
  3. Heng Tao Shen, Xiao Fang Zhou, and Bin Cui
    "Indexing and Integrating Multiple Features for WWW images"
    World Wide Web Journal 9(3): 343-364, 2006
     
  4. Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, and Cui Yu
    "Exploring Composite Acoustic Features for Efficient Music Similarity Query"
    ACM MM Conference 2006: 412-420
     
  5. Jialie Shen, Bin Cui, J. Shepherd, and Kian Lee Tan
    "Towards Efficient Automated Singer Identification in Large Music Databases"
    ACM SIGIR Conference 2006: 59-66
     
  6. Lidan Shou, Bin Cui, Gang Chen, and Jinxiang Dong
    "Classifying E-Mails Via Support Vector Machine"
    WAIM Conference 2006: 422-434
     
  7. Gao Cong, Bin Cui, Yingxin Li, and Zhonghong Zhang
    "Summarizing frequent patterns using profiles"
    DASFAA Conference 2006: 171-186
     
  8. Jialie Shen, J. Shepherd, Bin Cui, and Kian-Lee Tan
    "HSI: A Novel Framework for Efficient Automated Singer Identification in Large Music Databases"
    IEEE ICDE Conference 2006: 169
     
  9. Lidan Shou, Bin Cui, Gang Chen, and Jinxiang Dong
    "A Web-based Framework for On-line Collaborative Learning"
    The 10th International Conference on CSCW in Design 2006: 1387-1392
     

2005

  1. Bin Cui, Beng Chin Ooi, Jianwen Su, and Kian-Lee Tan
    "Indexing High-dimensional Data for Efficient In-memory Similarity Search"
    IEEE Transaction on Data and Knowledge Engineering 17(3): 339-353, 2005
     
  2. Bin Cui, Anirban Mondel, Jielie Shen, Gao Cong, and Kian-Lee Tan
    "On Effective E-mail Classification via Neural Networks"
    DEXA Conference 2005: 85-94
     
  3. Bin Cui, Dan Lin, and Kian-Lee Tan
    "Towards Optimal Utilization of Main Memory for Moving Object Indexing"
    DASFAA Conference 2005: 600-611
     
  4. Bin Cui, Heng Tao Shen, Jialie Shen, and Kian-Lee Tan
    "Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases"
    The 16th Australasian Database Conference 2005:  165-174
     
  5. Heng Tao Shen, Xiaofang Zhou, and Bin Cui
    "Indexing text and visual features for WWW images"
    APWEB Conference 2005: 885-899
     

2004

  1. Bin Cui, Beng Chin Ooi, Jianwen Su, and Kian-Lee Tan
    "Main memory processing: the case for BD-tree"
    IEEE Transaction on Data and Knowledge Engineering 16(7): 870-874,  2004
     
  2. Bin Cui, Jing Hu, Heng Tao Shen, and Cui Yu
    "Adaptive quantization of the high-dimensional data for efficient KNN processing"
    DASFAA Conference 2004: 302-313
     
  3. Jing Hu, Bin Cui, and Heng Tao Shen
    "Diagonal Ordering: A new approach to high-dimensional KNN processing"
    The 15th Australasian Database Conference 2004: 39-47
     

2003

  1. Bin Cui, Beng Chin Ooi, Jianwen Su, and Kian-Lee Tan
    "Contorting High Dimensional Data for Efficient Main Memory KNN Processing"
    ACM SIGMOD Conference 2003: 479-490
     
  2. Mong Li Lee, Wenny Hsu, C. S. Jensen, Bin Cui, and Keng Lik Teo
    "Supporting Frequent Updates in R-Trees: A Bottom-Up Approach"
    VLDB Conference 2003: 608-619
     

2001

  1. Zhongwei Luo, Tok Wong Ling, C. Ang, S. Y. Lee, and Bin Cui
    "Range Top/Bottom k Queries in OLAP Sparse Data Cubes"
    DEXA Conference 2001: 678-687
     

Papers in Chinese:

  1. 苗旭鹏, 王驭捷, 沈佳, 邵蓥侠, 崔斌: 面向多GPU的图神经网络训练加速, 软件学报 2023
  2. 苗旭鹏, 张敏旭, 邵蓥侠, 崔斌：PS-Hybrid: 面向大规模推荐模型训练的混合通信框架， 清华大学学报，2022
  3. 张文涛;苑斌;张智鹏;崔斌：图嵌入算法的分布式优化与实现，软件学报，2021
  4. 肖诗涛;邵蓥侠;宋卫平;崔斌：面向协同过滤推荐的新型混合评分函数，计算机科学，2021
  5. 韦仁杰;杨明钰;崔斌;闫存玲：机器学习算法在肺癌研究中的应用进展，中华检验医学杂志，2021
  6. 张心怡;张智鹏;张铁赢;崔斌;范举：RLO: 一个基于强化学习的连接优化方法，中国科学. 信息科学，2020
  7. 崔斌 ; 高军; 童咏昕; 许建秋; 张东祥; 邹磊：新型数据管理系统研究进展与趋势 , 软件学报, 2019, 30(1)：164~193
  8. 江佳伟 ; 符芳诚; 邵蓥侠; 崔斌：面向高维特征和多分类的分布式梯度提升树 , 软件学报, 2019, (03)：784~798
  9. 黄权隆; 黄艳香; 邵蓥侠; 孟 嘉; 任鑫琦; 崔 斌; 冯是聪： HybriG：一种高效处理大量重边的属性图存储架构,计算机学报, 2018.8, 41(8)：1766~1779
  10. 刘家霖;史舒扬;张悦眉;邵蓥侠;崔斌：社交网络高效高精度去匿名化算法，软件学报，2018
  11. 史舒扬;张智鹏;郭龙;邵蓥侠;崔斌：在线招聘场景下的简历活跃度预测，计算机科学与探索，2018
  12. 邵蓥侠，崔斌，马林，阴红志：一种基于Sketch 的Top-k紧密中心性快速搜索算法，计算机学报，2016.10.01，39(10)：1965~1978
  13. 黄艳香，崔斌，徐嬴，叶浩：基于用户网络的SNS应用排序，第32届中国数据库学术会议，NDBC 2015
  14. 徐嬴，崔斌：“查询性能预测方法的性能评测研究”. 第30届中国数据库学术会议，计算机研究与发展（增刊）NDBC 2013
  15. 陈学轩，吕雁飞，崔斌：“闪存数据库顺序和随机操作性能深度测试和分析”. 计算机应用与软件,2013.08　
  16. 崔斌，吕雁飞，陈学轩："闪存环境下B+树索引重访". 计算机应用， 2010, 30 (1) 1-4
  17. 徐泉清，代亚非，崔斌：“一种无结构P2P 系统中基于层次兴趣树的语义检索机制”. 北京大学学报（自然科学版）2010,46(1) 17-29
  18. 吕雁飞，陈学轩，崔斌："基于闪存的数据库性能评测与优化分析". 第26届中国数据库学术会议, 计算机研究与发展, 46(增刊) (10): 307-312，NDBC 2009
  19. 崔斌，卢阳："基于不确定数据的查询处理综述". 计算机应用 2008, 28(11) 2729-2731
  20. 姚俊杰，崔斌："一种基于频繁路径特征的XML文档结构聚类算法改进实现". 第24届中国数据库学术会议, 计算机科学, 34 (10): 186-188， NDBC 2007
  21. 赵哲，孙婷，陈立军，崔斌："一种数据流上的快速分段算法". 第24届中国数据库学术会议, 计算机科学, 34 (10): 236-239，NDBC 2007