Bin Cui

According to our database, Bin Cui authored at least 340 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang

ACM Comput. Surv., April, 2024

Welcome to a New Era of the Data Science and Engineering Journal (DSE).

Bin Cui

Data Sci. Eng., March, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., February, 2024

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.

Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui

CoRR, 2024

Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Structure-Guided Adversarial Training of Diffusion Models.

Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui

CoRR, 2024

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing.

Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui

CoRR, 2024

RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models.

Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui

CoRR, 2024

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs.

Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui

CoRR, 2024

SpotServe: Serving Generative Large Language Models on Preemptible Instances.

Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference.

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OneSketch: A Generic and Accurate Sketch for Data Streams.

Zhuochen Fan, Ruixin Wang, Yalun Cai, Ruwen Zhang, Tong Yang, Yuhan Wu, Bin Cui, Steve Uhlig

IEEE Trans. Knowl. Data Eng., December, 2023

Experimental Analysis of Large-scale Learnable Vector Storage Compression.

Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui

Proc. VLDB Endow., December, 2023

BurstSketch: Finding Bursts in Data Streams.

Ruijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang, Bin Cui

IEEE Trans. Knowl. Data Eng., November, 2023

An Efficient Transfer Learning Based Configuration Adviser for Database Tuning.

Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., November, 2023

AutoML for Deep Recommender Systems: A Survey.

Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin

ACM Trans. Inf. Syst., October, 2023

Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation.

Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., September, 2023

HoppingSketch: More Accurate Temporal Membership Query and Frequency Query.

Zhuochen Fan, Yubo Zhang, Siyuan Dong, Yi Zhou, Fangyi Liu, Tong Yang, Steve Uhlig, Bin Cui

IEEE Trans. Knowl. Data Eng., September, 2023

P²CG: a privacy preserving collaborative graph neural network training framework.

Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui

VLDB J., July, 2023

On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters.

Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui

IEEE Trans. Knowl. Data Eng., July, 2023

A Sketch Framework for Approximate Data Stream Processing in Sliding Windows.

Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui

IEEE Trans. Knowl. Data Eng., May, 2023

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

VLDB J., March, 2023

ICS-GNN⁺: lightweight interactive community search via graph neural network.

Jiazun Chen, Jun Gao, Bin Cui

VLDB J., March, 2023

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion.

Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., March, 2023

Survey on performance optimization for database systems.

Shiyue Huang, Yanzhao Qin, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui

Sci. China Inf. Sci., February, 2023

Hetu: a highly efficient automatic parallel distributed deep learning system.

Xupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, Bin Cui

Sci. China Inf. Sci., January, 2023

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2023

Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent.

Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui

Proc. VLDB Endow., 2023

SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training.

Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia

Proc. VLDB Endow., 2023

ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems.

Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui

Proc. VLDB Endow., 2023

Towards Designing and Learning Piecewise Space-Filling Curves.

Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui

Proc. VLDB Endow., 2023

Towards General and Efficient Online Tuning for Spark.

Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui

Proc. VLDB Endow., 2023

Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items.

Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, Bin Cui

Proc. ACM Manag. Data, 2023

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.

Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui

Proc. ACM Manag. Data, 2023

JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation.

Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, Bin Cui

Proc. ACM Manag. Data, 2023

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.

Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui

Proc. ACM Manag. Data, 2023

FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement.

Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui

Proc. ACM Manag. Data, 2023

TreeSensing: Linearly Compressing Sketches with Flexibility.

Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, Kun Xie, Sha Wang, Tao Li, Bin Cui

Proc. ACM Manag. Data, 2023

LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead.

Yuanpeng Li, Feiyu Wang, Xiang Yu, Yilong Yang, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig

Proc. ACM Manag. Data, 2023

DBPA: A Benchmark for Transactional Database Performance Anomalies.

Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui

Proc. ACM Manag. Data, 2023

Graph Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui

ACM Comput. Surv., 2023

On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.

Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui

CoRR, 2023

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models.

Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui

CoRR, 2023

Poisoning Attacks Against Contrastive Recommender Systems.

Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq

CoRR, 2023

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.

Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

CoRR, 2023

Model-enhanced Vector Index.

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

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

CoRR, 2023

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection.

Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin

CoRR, 2023

Improving Automatic Parallel Training via Balanced Memory Workload Optimization.

Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui

CoRR, 2023

FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference.

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

CoRR, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2023

Transfer Learning for Bayesian Optimization: A Survey.

Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui

CoRR, 2023

StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios.

Jiasheng Zhang, Jie Shao, Bin Cui

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-enhanced Vector Index.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.

Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream.

Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch.

Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming.

Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang, Steve Uhlig, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SteadySketch: Finding Steady Flows in Data Streams.

Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.

Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction.

Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

REncoder: A Space-Time Efficient Range Filter with Local Encoder.

Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SketchConf: A Framework for Automatic Sketch Configuration.

Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams.

Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Finding Simplex Items in Data Streams.

Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

KVSAgg: Secure Aggregation of Distributed Key-Value Sets.

Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.

Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.

Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention.

Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2022

Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache Sharing.

Zhaodong Kang, Jin Xu, Wenqi Wang, Jie Jiang, Shiqi Jiang, Tong Yang, Bin Cui, Tilman Wolf

IEEE Trans. Knowl. Data Eng., 2022

LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams.

Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., 2022

Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints.

Yuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang, Olivier Ruas, Gong Zhang, Bin Cui

IEEE Trans. Computers, 2022

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation.

Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., 2022

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism.

Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui

Proc. VLDB Endow., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2022

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs.

Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen

Proc. VLDB Endow., 2022

Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation.

Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui

Proc. VLDB Endow., 2022

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update.

Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui

Proc. VLDB Endow., 2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

CoRR, 2022

Efficient Graph Neural Network Inference at Large Scale.

Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

CoRR, 2022

Distributed Graph Neural Network Training: A Survey.

Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen

CoRR, 2022

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.

Youhe Jiang, Xupeng Miao, Xiaonan Nie, Bin Cui

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

CoRR, 2022

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates.

Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui

CoRR, 2022

Efficient End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui

CoRR, 2022

HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System.

Xiaonan Nie, Pinxue Zhao, Xupeng Miao, Tong Zhao, Bin Cui

CoRR, 2022

LECF: recommendation via learnable edge collaborative filtering.

Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui

Sci. China Inf. Sci., 2022

AutoDC: an automatic machine learning framework for disease classification.

Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui

Bioinform., 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area.

Yikai Zhao, Yinda Zhang, Yuanpeng Li, Yi Zhou, Chunhui Chen, Tong Yang, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Towards Dynamic and Safe Configuration Tuning for Cloud Databases.

Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties.

Yahui Sun, Shuai Ma, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training.

Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

BlindFL: Vertical Federated Machine Learning without Peeking into Your Data.

Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

K-core decomposition on super large graphs with limited resources.

Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

DivBO: Diversity-aware CASH for Ensemble Learning.

Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Analyzing Online Transaction Networks with Network Motifs.

Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TJOSConf: Automatic and Safe System Environment Operations Platform.

Yida Wang, Shuangshuang Jiang, Bin Cui

Proceedings of the ICSCA 2022: 11th International Conference on Software and Computer Applications, Melaka, Malaysia, February 24, 2022

BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic.

Zirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui

Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Stair Sketch: Bringing more Clarity to Memorize Recent Events.

Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Contrastive Learning for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting.

Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract).

Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.

Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PeriodicSketch: Finding Periodic Items in Data Streams.

Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache.

Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Message from Data Science and Systems 2022 Program Chairs.

Bin Cui, Chuan Li, Anwer Al-Dulaimi

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

PointCLIP: Point Cloud Understanding by CLIP.

Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scalable Graph Sampling on GPUs with Compressed Graph.

Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

UDM: A Unified Deep Matching Framework in Recommender Systems.

Long Guo, Fei Fang, Binqiang Zhao, Bin Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Distributed Machine Learning and Gradient Optimization

Jiawei Jiang, Bin Cui, Ce Zhang

Springer, ISBN: 978-981-16-3419-2, 2022

2021

Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs.

Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen

VLDB J., 2021

Model averaging in distributed machine learning: a case study with Apache Spark.

Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li

VLDB J., 2021

Sys-TM: A Fast and General Topic Modeling System.

Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui

IEEE Trans. Knowl. Data Eng., 2021

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.

Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui

Proc. VLDB Endow., 2021

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.

Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui

Proc. VLDB Endow., 2021

Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights.

Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo

Proc. VLDB Endow., 2021

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.

Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.

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

Proc. VLDB Endow., 2021

Enhanced review-based rating prediction by exploiting aside information and user influence.

Shiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui

Knowl. Based Syst., 2021

A classification framework for multivariate compositional data with Dirichlet feature embedding.

Jie Gu, Bin Cui, Shan Lu

Knowl. Based Syst., 2021

Dense-to-Sparse Gate for Mixture-of-Experts.

Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui

CoRR, 2021

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

Evaluating Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

CoRR, 2021

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

BurstSketch: Finding Bursts in Data Streams.

Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases.

Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.

Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.

Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

VF²Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning.

Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.

Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RIM: Reliable Influence-based Active Learning on Graphs.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Challenges and Opportunities of Building Fast GBDT Systems.

Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications.

Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling.

Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Explore User Neighborhood for Real-time E-commerce Recommendation.

Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

iMap: Incremental Node Mapping between Large Graphs Using GNN.

Yikuan Xia, Jun Gao, Bin Cui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.

Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SKCompress: compressing sparse and nonuniform gradient in distributed machine learning.

Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui

VLDB J., 2020

SF-Sketch: A Two-Stage Sketch for Data Streams.

Lingtong Liu, Yulong Shen, Yibo Yan, Tong Yang, Muhammad Shahzad, Bin Cui, Gaogang Xie

IEEE Trans. Parallel Distributed Syst., 2020

On-Off Sketch: A Fast and Accurate Sketch on Persistence.

Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui

Proc. VLDB Endow., 2020

Hunting multiple bumps in graphs.

Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui

Proc. VLDB Endow., 2020

EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge.

Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui

Proc. VLDB Endow., 2020

GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network.

Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui

Data Sci. Eng., 2020

DASFAA 20202 Special Issue Editorial.

Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu

Data Sci. Eng., 2020

Graph Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui

CoRR, 2020

Contrastive Pre-training for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui

CoRR, 2020

Snapshot boosting: a fast ensemble framework for deep neural networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Sci. China Inf. Sci., 2020

Reliable Data Distillation on Graph Convolutional Network.

Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui

Proceedings of the 2020 International Conference on Management of Data, 2020

Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs.

Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen

Proceedings of the 2020 International Conference on Management of Data, 2020

WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams.

Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows.

Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript.

Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Diversity-Driven Ensemble for Deep Neural Networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent.

Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PSGraph: How Tencent trains extremely large-scale graphs with Spark?

Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Group Recommendation with Latent Voting Mechanism.

Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer.

Yuanxing Zhang, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui, Xiaoming Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences.

Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Efficient Automatic CASH via Rising Bandits.

Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Large-scale Graph Analysis: System, Algorithm and Optimization

Yingxia Shao, Bin Cui, Lei Chen

Springer, ISBN: 978-981-15-3927-5, 2020

2019

Fine-grained probability counting for cardinality estimation of data streams.

Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li

World Wide Web, 2019

Fast and accurate stream processing by filtering the cold.

Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li

VLDB J., 2019

An Experimental Evaluation of Large Scale GBDT Systems.

Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui

Proc. VLDB Endow., 2019

Special Issue of APWeb-WAIM 2019.

Dongxiang Zhang, Wei Wang, Bin Cui, Heng Tao Shen

Data Sci. Eng., 2019

Fast De-anonymization of Social Networks with Structural Information.

Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui

Data Sci. Eng., 2019

PS2: Parameter Server on Spark.

Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao

Proceedings of the 2019 International Conference on Management of Data, 2019

Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior.

Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MLlib*: Fast Training of GLMs Using Spark MLlib.

Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Coloring Embedder: A Memory Efficient Data Structure for Answering Multi-set Query.

Tong Yang, Dongsheng Yang, Jie Jiang, Siang Gao, Bin Cui, Lei Shi, Xiaoming Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-copy Cuckoo Hashing.

Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Sparse Gradient Compression for Distributed SGD.

Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang

Proceedings of the Database Systems for Advanced Applications, 2019

Magic Cube Bloom Filter: Answering Membership Queries for Multiple Sets.

Zhouyi Sun, Siang Gao, Bingqing Liu, Yufei Wang, Tong Yang, Bin Cui

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search.

Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

Spatiotemporal Recommendation in Geo-Social Networks.

Hongzhi Yin, Bin Cui, Xiaofang Zhou

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

CO²: Inferring Personal Interests From Raw Footprints by Connecting the Offline World with the Online World.

Long Guo, Dongxiang Zhang, Yuan Wang, Huayu Wu, Bin Cui, Kian-Lee Tan

ACM Trans. Inf. Syst., 2018

Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing.

Yang Zhou, Tong Yang, Jie Jiang, Bin Cui, Minlan Yu, Xiaoming Li, Steve Uhlig

Proceedings of the 2018 International Conference on Management of Data, 2018

SketchML: Accelerating Distributed Machine Learning with Data Sketches.

Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui

Proceedings of the 2018 International Conference on Management of Data, 2018

DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions.

Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu

Proceedings of the 2018 International Conference on Management of Data, 2018

CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification.

Long Guo, Dongxiang Zhang, Lei Wang, Han Wang, Bin Cui

Proceedings of the Conceptual Modeling - 37th International Conference, 2018

GLM+: An Efficient System for Generalized Linear Models.

Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Fine-Grained Probability Counting: Refined LogLog Algorithm.

Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures.

Xiangyang Gou, Chenxingyu Zhao, Tong Yang, Lei Zou, Yang Zhou, Yibo Yan, Xiaoming Li, Bin Cui

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

SSS: An Accurate and Fast Algorithm for Finding Top-k Hot Items in Data Streams.

Junzhi Gong, Deyu Tian, Dongsheng Yang, Tong Yang, Tuo Dai, Bin Cui, Xiaoming Li

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Geo-Edge: Geographical Resource Allocation on Edge Caches for Video-on-Demand Streaming.

Yuanxing Zhang, Kaigui Bian, Hu Tuo, Bin Cui, Lingyang Song, Xiaoming Li

Proceedings of the 4th International Conference on Big Data Computing and Communications, 2018

CUTE: Querying Knowledge Graphs by Tabular Examples.

Zichen Wang, Tian Li, Yingxia Shao, Bin Cui

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

GVoS: A General System for Near-Duplicate Video-Related Applications on Storm.

Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei, Lele Yu

ACM Trans. Inf. Syst., 2017

UniAD: A Unified Ad Hoc Data Processing System.

Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi

ACM Trans. Database Syst., 2017

Fast Parallel Path Concatenation for Graph Extraction.

Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu

IEEE Trans. Knowl. Data Eng., 2017

An Experimental Evaluation of SimRank-based Similarity Search Algorithms.

Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang

Proc. VLDB Endow., 2017

LDA*: A Robust and Large-scale Topic Modeling System.

Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao

Proc. VLDB Endow., 2017

MLog: Towards Declarative In-Database Machine Learning.

Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang

Proc. VLDB Endow., 2017

SF-sketch: slim-fat-sketch with GPU assistance.

Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie

CoRR, 2017

Heterogeneity-aware Distributed Parameter Servers.

Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items.

Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

TencentBoost: A Gradient Boosting Tree System with Parameter Server.

Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation.

Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui, Kian-Lee Tan

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System.

Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu

Proceedings of the Database Systems for Advanced Applications, 2017

ABC: A practicable sketch framework for non-uniform multisets.

Junzhi Gong, Tong Yang, Yang Zhou, Dongsheng Yang, Shigang Chen, Bin Cui, Xiaoming Li

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TeslaML: Steering Machine Learning Automatically in Tencent.

Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Spatio-Temporal Recommendation in Social Media

Hongzhi Yin, Bin Cui

Springer Briefs in Computer Science, Springer, ISBN: 978-981-10-0748-4, 2016

Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion.

Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu

World Wide Web, 2016

Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.

Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia W. Sadiq

ACM Trans. Inf. Syst., 2016

Adapting to User Interest Drift for POI Recommendation.

Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung

IEEE Trans. Knowl. Data Eng., 2016

POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm.

Bin Cui, Jie Jiang, Quanlong Huang, Ying Xu, Yanjun Gui, Wenyu Zhang

Data Sci. Eng., 2016

Expert team finding for review assignment.

Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Tornado: A System For Real-Time Iterative Analysis Over Evolving Data.

Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong

Proceedings of the 2016 International Conference on Management of Data, 2016

Real-time Video Recommendation Exploration.

Yanxiang Huang, Bin Cui, Jie Jiang, Kunqian Hong, Wenyu Zhang, Yiran Xie

Proceedings of the 2016 International Conference on Management of Data, 2016

Cross-layer approach to joint transmitter selection for cooperative transmission.

Geng Su, Bin Cui, Xiaochen Wang

Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016

Satisfiability of Linear Time Mu-Calculus on Finite Traces.

Yao Liu, Zhenhua Duan, Cong Tian, Bin Cui

Proceedings of the Computing and Combinatorics - 22nd International Conference, 2016

2015

A multi-source integration framework for user occupation inference in social media systems.

Yanxiang Huang, Lele Yu, Xiang Wang, Bin Cui

World Wide Web, 2015

Dynamic User Modeling in Social Media Systems.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou

ACM Trans. Inf. Syst., 2015

Heterogeneous Environment Aware Streaming Graph Partitioning.

Ning Xu, Bin Cui, Lei Chen, Zi Huang, Yingxia Shao

IEEE Trans. Knowl. Data Eng., 2015

PAGE: A Partition Aware Engine for Parallel Graph Computation.

Yingxia Shao, Bin Cui, Lin Ma

IEEE Trans. Knowl. Data Eng., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang

ACM Trans. Knowl. Discov. Data, 2015

An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.

Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie

Proc. VLDB Endow., 2015

Exploiting Matrix Dependency for Efficient Distributed Matrix Computation.

Lele Yu, Yingxia Shao, Bin Cui

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

TencentRec: Real-time Stream Recommendation in Practice.

Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, Ying Xu

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Community Level Diffusion Extraction.

Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation.

Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, Xian Wu, Xiaofang Zhou

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Evaluations and measurements of a high frequency nanocrystalline core transformer for power converters.

Xiaohua Jiang, Jin Xu, Bin Cui, Yingyu Zeng, Zhongxi Li

Proceedings of the IECON 2015, 2015

Finding top-k local users in geo-tagged social media data.

Jinling Jiang, Hua Lu, Bin Yang, Bin Cui

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

LCARS: A Spatial Item Recommender System.

Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen

ACM Trans. Inf. Syst., 2014

LogGP: A Log-based Dynamic Graph Partitioning Method.

Ning Xu, Lei Chen, Bin Cui

Proc. VLDB Endow., 2014

HAT: an efficient buffer management method for flash-based hybrid storage systems.

Yanfei Lv, Bin Cui, Xuexuan Chen, Jing Li

Frontiers Comput. Sci., 2014

A temporal context-aware model for user behavior modeling in social media systems.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang

Proceedings of the International Conference on Management of Data, 2014

Towards unified ad-hoc data processing.

Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi

Proceedings of the International Conference on Management of Data, 2014

Parallel subgraph listing in a large-scale graph.

Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu

Proceedings of the International Conference on Management of Data, 2014

Efficient cohesive subgraphs detection in parallel.

Yingxia Shao, Lei Chen, Bin Cui

Proceedings of the International Conference on Management of Data, 2014

User Group Oriented Temporal Dynamics Exploration.

Zhiting Hu, Junjie Yao, Bin Cui

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Gram-Based String Paradigm for Efficient Video Subsequence Search.

Zi Huang, Jiajun Liu, Bin Cui, Xiaoyong Du

IEEE Trans. Multim., 2013

TeRec: A Temporal Recommender System Over Tweet Stream.

Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui

Proc. VLDB Endow., 2013

Community Specific Temporal Topic Discovery from Social Media.

Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui

CoRR, 2013

A Multiple Feature Integration Model to Infer Occupation from Social Media Records.

Xiang Wang, Lele Yu, Junjie Yao, Bin Cui

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

bCATE: A Balanced Contention-Aware Transaction Execution Model for Highly Concurrent OLTP Systems.

Xiaogang Shi, Yanfei Lv, Yingxia Shao, Bin Cui

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

LCARS: a location-content-aware recommender system.

Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A unified model for stable and temporal topic detection from social media data.

Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

PAGE: a partition aware graph computation engine.

Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Hotness-aware buffer management for flash-based hybrid storage systems.

Yanfei Lv, Bin Cui, Xuexuan Chen, Jing Li

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A Probabilistic Data Replacement Strategy for Flash-Based Hybrid Storage System.

Yanfei Lv, Xuexuan Chen, Guangyu Sun, Bin Cui

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Bursty event detection from collaborative tags.

Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou

World Wide Web, 2012

Evolutionary taxonomy construction from dynamic tag space.

Junjie Yao, Bin Cui, Gao Cong, Yuxin Huang

World Wide Web, 2012

Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives.

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan

ACM Trans. Inf. Syst., 2012

A Framework for Similarity Search of Time Series Cliques with Natural Relations.

Bin Cui, Zhe Zhao, Wee Hyong Tok

IEEE Trans. Knowl. Data Eng., 2012

Challenging the Long Tail Recommendation.

Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen

Proc. VLDB Endow., 2012

Extracting representative motion flows for effective video retrieval.

Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen

Multim. Tools Appl., 2012

Recommending Flickr groups with social topic model.

Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi

Inf. Retr., 2012

Temporal provenance discovery in micro-blog message streams (abstract only).

Zijun Xue, Junjie Yao, Bin Cui

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Provenance-based Indexing Support in Micro-blog Platforms.

Junjie Yao, Bin Cui, Zijun Xue, Qingyun Liu

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Keyword Query Reformulation on Structured Data.

Junjie Yao, Bin Cui, Liansheng Hua, Yuxin Huang

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Efficient approximation of the maximal preference scores by lightweight cubic views.

Yueguo Chen, Bin Cui, Xiaoyong Du, Anthony K. H. Tung

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

Correlation-based retrieval for heavily changed near-duplicate videos.

Jiajun Liu, Zi Huang, Heng Tao Shen, Bin Cui

ACM Trans. Inf. Syst., 2011

Constrained Skyline Query Processing against Distributed Data Sites.

Lijiang Chen, Bin Cui, Hua Lu

IEEE Trans. Knowl. Data Eng., 2011

Operation-aware buffer management in flash-based systems.

Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Modeling User Expertise in Folksonomies by Fusing Multi-type Features.

Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, Yanhong Zhou

Proceedings of the Database Systems for Advanced Applications, 2011

Log-Compact R-Tree: An Efficient Spatial Index for SSD.

Yanfei Lv, Jing Li, Bin Cui, Xuexuan Chen

Proceedings of the Database Systems for Adanced Applications, 2011

Finding a Wise Group of Experts in Social Networks.

Hongzhi Yin, Bin Cui, Yuxin Huang

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Practical Online Near-Duplicate Subsequence Detection for Continuous Video Streams.

Zi Huang, Heng Tao Shen, Jie Shao, Bin Cui, Xiaofang Zhou

IEEE Trans. Multim., 2010

Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases.

Bin Cui, Jiakui Zhao, Dongqing Yang

IEEE Trans. Knowl. Data Eng., 2010

A generalized framework of exploring category information for question retrieval in community question answer archives.

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen

Proceedings of the 19th International Conference on World Wide Web, 2010

ACAR: An Adaptive Cost Aware Cache Replacement Approach for Flash Memory.

Yanfei Lv, Xuexuan Chen, Bin Cui

Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Multiple feature fusion for social media applications.

Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Content-enriched classifier for web video classification.

Bin Cui, Ce Zhang, Gao Cong

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Efficient similarity matching of Time Series Cliques with natural relations.

Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao

Proceedings of the 26th International Conference on Data Engineering, 2010

Detecting bursty events in collaborative tagging systems.

Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou

Proceedings of the 26th International Conference on Data Engineering, 2010

ISIS: A New Approach for Efficient Similarity Search in Sparse Databases.

Bin Cui, Jiakui Zhao, Gao Cong

Proceedings of the Database Systems for Advanced Applications, 2010

Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks.

Lijiang Chen, Bin Cui, Linhao Xu, Heng Tao Shen

Proceedings of the Database Systems for Advanced Applications, 2010

Temporal and Social Context Based Burst Detection from Folksonomies.

Junjie Yao, Bin Cui, Yuxin Huang, Xin Jin

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A novel framework for efficient automated singer identification in large music databases.

Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan

ACM Trans. Inf. Syst., 2009

Bounded coordinate system indexing for real-time video clip search.

Zi Huang, Heng Tao Shen, Jie Shao, Xiaofang Zhou, Bin Cui

ACM Trans. Inf. Syst., 2009

Efficient Skyline Computation in Structured Peer-to-Peer Systems.

Bin Cui, Lijiang Chen, Linhao Xu, Hua Lu, Guojie Song, Quanqing Xu

IEEE Trans. Knowl. Data Eng., 2009

Accelerating sequence searching: dimensionality reduction method.

Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang

Knowl. Inf. Syst., 2009

Hybrid information retrieval policies based on cooperative cache in mobile P2P networks.

Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai

Frontiers Comput. Sci. China, 2009

Linking identical neighborly partitions for efficient high-dimensional similarity search in unstructured peer-to-peer systems.

Bin Cui, Linhao Xu, Jiakui Zhao

Distributed Parallel Databases, 2009

Implementation Issues of A Cloud Computing Platform.

Bo Peng, Bin Cui, Xiaoming Li

IEEE Data Eng. Bull., 2009

A Novel Content Distribution Mechanism in DHT Networks.

Quanqing Xu, Heng Tao Shen, Bin Cui, Xiaoxiao Hou, Yafei Dai

Proceedings of the NETWORKING 2009, 2009

Routing Questions to the Right Users in Online Communities.

Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao

Proceedings of the 25th International Conference on Data Engineering, 2009

Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks.

Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai

Proceedings of the Computational Science, 2009

A Revisit of Query Expansion with Different Semantic Levels.

Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang

Proceedings of the Database Systems for Advanced Applications, 2009

Video Annotation System Based on Categorizing and Keyword Labelling.

Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, Ce Zhang

Proceedings of the Database Systems for Advanced Applications, 2009

Constructing evolutionary taxonomy of collaborative tagging systems.

Junjie Yao, Yuxin Huang, Bin Cui

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Efficient information retrieval in mobile peer-to-peer networks.

Lijiang Chen, Bin Cui, Heng Tao Shen, Wei Lu, Xiaofang Zhou

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

The use of categorization information in language models for question retrieval.

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

PGG: An Online Pattern Based Approach for Stream Variation Management.

Lu-An Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou

J. Comput. Sci. Technol., 2008

Semantic similarity based on compact concept ontology.

Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong

Proceedings of the 17th International Conference on World Wide Web, 2008

Achieving Effective Multi-term Queries for Fast DHT Information Retrieval.

Quanqing Xu, Heng Tao Shen, Yafei Dai, Bin Cui, Xiaofang Zhou

Proceedings of the Web Information Systems Engineering, 2008

Towards Efficient and Flexible KNN Query Processing in Real-Life Road Networks.

Yang Lu, Bin Cui, Jiakui Zhao, Hua Lu, Jialie Shen

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Parallel Distributed Processing of Constrained Skyline Queries by Filtering.

Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei Dai, Yongluan Zhou

Proceedings of the 24th International Conference on Data Engineering, 2008

iSky: Efficient and Progressive Skyline Computing in a Structured P2P Network.

Lijiang Chen, Bin Cui, Hua Lu, Linhao Xu, Quanqing Xu

Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

Compacting music signatures for efficient music retrieval.

Bin Cui, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan

Proceedings of the EDBT 2008, 2008

Effective Skyline Cardinality Estimation on Data Streams.

Yang Lu, Jiakui Zhao, Lijun Chen, Bin Cui, Dongqing Yang

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

Squeezing Long Sequence Data for Efficient Similarity Search.

Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang

Proceedings of the Progress in WWW Research and Development, 2008

2007

Efficient index-based KNN join processing for high-dimensional data.

Cui Yu, Bin Cui, Shuguang Wang, Jianwen Su

Inf. Softw. Technol., 2007

LINP: Supporting Similarity Search in Unstructured Peer-to-Peer Networks.

Bin Cui, Weining Qian, Linhao Xu, Aoying Zhou

Proceedings of the Advances in Data and Web Management, 2007

Effective variation management for pseudo periodical streams.

Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

QueST: querying music databases by acoustic and textual features.

Bin Cui, Ling Liu, Calton Pu, Jialie Shen, Kian-Lee Tan

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Evaluating MAX and MIN over Sliding Windows with Various Size Using the Exemplary Sketch.

Jiakui Zhao, Dongqing Yang, Bin Cui, Lijun Chen, Jun Gao

Proceedings of the Advances in Databases: Concepts, 2007

An Optimized Process Neural Network Model.

Guojie Song, Dongqing Yang, Yunfeng Liu, Bin Cui, Ling Wu, Kunqing Xie

Proceedings of the Advances in Databases: Concepts, 2007

CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data.

Guojie Song, Dongqing Yang, Bin Cui, Baihua Zheng, Yunfeng Liu, Kunqing Xie

Proceedings of the Advances in Databases: Concepts, 2007

Optimizing Moving Queries over Moving Object Data Streams.

Dan Lin, Bin Cui, Dongqing Yang

Proceedings of the Advances in Databases: Concepts, 2007

2006

Indexing and Integrating Multiple Features for WWW Images.

Heng Tao Shen, Xiaofang Zhou, Bin Cui

World Wide Web, 2006

ICICLE: A semantic-based retrieval system for WWW images.

Heng Tao Shen, Kian-Lee Tan, Xiaofang Zhou, Bin Cui

Multim. Syst., 2006

IMPACT: A twin-index framework for efficient moving object query processing.

Bin Cui, Dan Lin, Kian-Lee Tan

Data Knowl. Eng., 2006

Classifying E-Mails Via Support Vector Machine.

Lidan Shou, Bin Cui, Gang Chen, Jinxiang Dong

Proceedings of the Advances in Web-Age Information Management, 2006

Towards efficient automated singer identification in large music databases.

Jialie Shen, Bin Cui, John Shepherd, Kian-Lee Tan

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Exploring composite acoustic features for efficient music similarity query.

Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, Cui Yu

Proceedings of the 14th ACM International Conference on Multimedia, 2006

A new image segmentation algorithm based on kernel spatial fuzzy c-means (FCM).

Weixing Wang, Bin Cui

Proceedings of the 6th Industrial Conference on Data Mining, Workshop Proceedings, 2006

HSI: A Novel Framework for Efficient Automated Singer Identification in Large Music Database.

Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan

Proceedings of the 22nd International Conference on Data Engineering, 2006

Summarizing Frequent Patterns Using Profiles.

Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang

Proceedings of the Database Systems for Advanced Applications, 2006

A Web-based Framework For On-line Collaborative Learning.

Lidan Shou, Bin Cui, Gang Chen, Jinxiang Dong

Proceedings of the 10th International Conference on CSCW in Design, 2006

2005

Indexing High-Dimensional Data for Efficient In-Memory Similarity Search.

Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan

IEEE Trans. Knowl. Data Eng., 2005

On Effective E-mail Classification via Neural Networks.

Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan

Proceedings of the Database and Expert Systems Applications, 16th International Conference, 2005

Towards Optimal Utilization of Main Memory for Moving Object Indexing.

Bin Cui, Dan Lin, Kian-Lee Tan

Proceedings of the Database Systems for Advanced Applications, 2005

Indexing Text and Visual Features for WWW Images.

Heng Tao Shen, Xiaofang Zhou, Bin Cui

Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases.

Bin Cui, Heng Tao Shen, Jialie Shen, Kian-Lee Tan

Proceedings of the Database Technologies 2005, 2005

2004

Main Memory Indexing: The Case for BD-Tree.

Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan

IEEE Trans. Knowl. Data Eng., 2004

Adaptive Quantization of the High-Dimensional Data for Efficient KNN Processing.

Bin Cui, Jing Hu, Heng Tao Shen, Cui Yu

Proceedings of the Database Systems for Advances Applications, 2004

Diagonal Ordering: A New Approach to High-Dimensional KNN Processing.

Jing Hu, Bin Cui, Heng Tao Shen

Proceedings of the Database Technologies 2004, 2004

2003

Supporting Frequent Updates in R-Trees: A Bottom-Up Approach.

Mong-Li Lee, Wynne Hsu, Christian S. Jensen, Bin Cui, Keng Lik Teo

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Contorting High Dimensional Data for Efficient Main Memory Processing.

Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

2001

Range Top/Bottom k Queries in OLAP Sparse Data Cubes.

Zhong Wei Luo, Tok Wang Ling, Chuan-Heng Ang, Sin Yeung Lee, Bin Cui

Proceedings of the Database and Expert Systems Applications, 12th International Conference, 2001