Bin Cui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
244
Venues
41
Active years
2001–2026
Best venue rank
A*
Where they publish
- A*ICDE65 papers
- A*SIGMOD33 papers
- A*KDD21 papers
- BDASFAA15 papers
- ACIKM11 papers
- A*ICLR10 papers
- A*AAAI9 papers
- CAPWEB8 papers
- A*ACL7 papers
- A*WWW7 papers
- A*ICML6 papers
- CIECON6 papers
- A*ASPLOS4 papers
- A*EMNLP3 papers
- A*IJCAI3 papers
- A*SIGIR3 papers
- BWISE3 papers
- CDEXA3 papers
- A*CVPR2 papers
- CIGARSS2 papers
- BEDBT2 papers
- AustralasianADC2 papers
- BPPoPP1 paper
- A*ICCV1 paper
- A*SIGCOMM1 paper
- ASDM1 paper
- A*SOSP1 paper
- BIWQoS1 paper
- CHPCC1 paper
- BICNP1 paper
- MulticonferenceSAC1 paper
- MulticonferenceICASSP1 paper
- AER1 paper
- NationalCOCOON1 paper
- CADMA1 paper
- AGECCO1 paper
- MulticonferenceICCS1 paper
- BNetworking1 paper
- AICDCS1 paper
- CCSCWD1 paper
- A*VLDB1 paper
Papers
244 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning. | Beicheng Xu, Wei Liu, Keyao Ding, Yupeng Lu, Bin Cui |
| 2026 | ACL | Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey. | Jingwen Deng, Jihao Huang, Zhen Hao Wong, Hao Liang, Quanqing Xu, Bin Cui, Wentao Zhang |
| 2026 | ACL | Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature. | Zheng Liu, Mengjie Liu, Siwei Wen, Mengzhang Cai, Bin Cui, Conghui He, Wentao Zhang |
| 2026 | ACL | ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch. | Zheng Liu, Honglin Lin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Conghui He, Bin Cui, Wentao Zhang, Lijun Wu |
| 2026 | ACL | Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration. | Linzhuang Sun, Tianyu Guo, Hao Liang, Ruitong Liu, Yuying Li, Qifeng Cai, Jingxuan Wei, Yuchen Wu, Bihui Yu, Xiangxiang Zhang, Wentao Zhang, Bin Cui |
| 2026 | ASPLOS | LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xuefeng Xiao, Huixia Li, Jiashi Li, Bin Cui |
| 2026 | ICDE | Text2sql-Flow: a Robust Sql-Aware Data Augmentation Framework for Text-To-Sql. | Qifeng Cai, Hao Liang, Chang Xu, Tao Xie, Wentao Zhang, Bin Cui |
| 2026 | ICDE | Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries. | Zhengren Wang, Dongwen Yao, Bozhou Li, Dongsheng Ma, Bo Li, Zhiyu Li, Feiyu Xiong, Bin Cui, Linpeng Tang, Wentao Zhang |
| 2026 | ICDE | DistVec: Efficient Distributed Machine Learning in Parallel Database Systems. | Xinyi Zhang, Liangzu Liu, Xupeng Miao, Yinjun Wu, Zhen Chen, Wei Lu, Xiaoyong Du, Bin Cui |
| 2026 | KDD | Let's Verify Math Questions Step by Step. | Chengyu Shen, Zhen Hao Wong, Runming He, Hao Liang, Meiyi Qiang, Zimo Meng, Zhengyang Zhao, Bohan Zeng, Zhengzhou Zhu, Bin Cui, Wentao Zhang |
| 2026 | PPoPP | Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-Tolerant Distributed Training. | Xuanyu Wang, Fangcheng Fu, Haoyang Li, Hao Ge, Sheng Lin, Jiawen Niu, Bin Cui |
| 2026 | WWW | LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts. | Hao Liang, Qifeng Cai, Zhaoyang Han, Hejun Dong, Meiyi Qiang, Ruichuan An, Quanqing Xu, Bin Cui, Wentao Zhang |
| 2026 | WWW | Med-R | Keer Lu, Zheng Liang, Da Pan, Shusen Zhang, Guosheng Dong, Huang Leng, Bin Cui, Zhonghai Wu, Wentao Zhang |
| 2026 | WWW | Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection. | Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin |
| 2025 | AAAI | Towards Scalable and Deep Graph Neural Networks via Noise Masking. | Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui |
| 2025 | ACL | ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases. | Yongnan Chen, Zhuo Chang, Shijia Gu, Yuanhang Zong, Mei Zhang, Shiyu Wang, Zixiang He, Hongzhi Chen, Wei Jin, Bin Cui |
| 2025 | ACL | Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning. | Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui |
| 2025 | ACL | CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. | Tao Zhang, Chenglin Zhu, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou |
| 2025 | ASPLOS | FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism. | Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui |
| 2025 | ASPLOS | Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. | Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui |
| 2025 | EMNLP | Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations. | Peichao Lai, Jiaxin Gan, Feiyang Ye, Wentao Zhang, Fangcheng Fu, Yilei Wang, Bin Cui |
| 2025 | EMNLP | FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback. | Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang |
| 2025 | EMNLP | VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs. | Keer Lu, Keshi Zhao, Zhuoran Zhang, Zheng Liang, Bin Cui, Tengjiao Wang, Wentao Zhang |
| 2025 | ICCV | Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation. | Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui |
| 2025 | ICDE | CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs. | Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui |
| 2025 | ICDE | HourglassSketch: An Efficient and Scalable Framework for Graph Stream Summarization. | Jiarui Guo, Boxuan Chen, Kaicheng Yang, Tong Yang, Zirui Liu, Qiuheng Yin, Sha Wang, Yuhan Wu, Xiaolin Wang, Bin Cui, Tao Li, Xi Peng, Renhai Chen, Gong Zhang |
| 2025 | ICDE | Training-Free Heterogeneous Graph Condensation via Data Selection. | Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui |
| 2025 | ICDE | Training Data Distribution Estimation for Optimized Pre-training Data Management. | Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Zenan Zhou, Wentao Zhang |
| 2025 | ICDE | Extendible RDMA-Based Remote Memory KV Store with Dynamic Perfect Hashing Index. | Zirui Liu, Xian Niu, Wei Zhou, Yisen Hong, Zhouran Shi, Tong Yang, Yuchao Zhang, Yuhan Wu, Yikai Zhao, Zhuochen Fan, Bin Cui |
| 2025 | ICDE | DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training. | Keer Lu, Xiaonan Nie, Zheng Liang, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang |
| 2025 | ICDE | A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. | Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui |
| 2025 | ICDE | Towards Scalable and Efficient Graph Structure Learning. | Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui |
| 2025 | ICDE | CaliEX: A Disk-Based Large-Scale GNN Training System with Joint Design of Caching and Execution. | Can Su, Haipeng Zhang, Hanyu Zhao, Wenting Shen, Baole Ai, Yong Li, Kaigui Bian, Bin Cui |
| 2025 | ICDE | DataLab: A Unified Platform for LLM-Powered Business Intelligence. | Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, Ruiqin Chen, Haozhe Feng, Chen Hou, Danqing Huang, Yang Li, Huaming Rao, Haonan Wang, Canshi Wei, Xiaofeng Yang, Yuhui Zhang, Yifeng Zheng, Xiuqi Huang, Minfeng Zhu, Yuxin Ma, Bin Cui, Peng Chen, Wei Chen |
| 2025 | ICDE | PAS: Plug-and-Play Prompt Augmentation System. | Miao Zheng, Hao Liang, Fan Yang, Bin Cui, Zenan Zhou, Wentao Zhang |
| 2025 | ICLR | SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. | Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan |
| 2025 | ICLR | Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. | Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen |
| 2025 | ICLR | NetMoE: Accelerating MoE Training through Dynamic Sample Placement. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui |
| 2025 | ICLR | SysBench: Can LLMs Follow System Message? | Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui |
| 2025 | ICLR | SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget. | Zihao Wang, Bin Cui, Shaoduo Gan |
| 2025 | ICLR | IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. | Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui |
| 2025 | ICML | Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. | Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki |
| 2025 | ICML | Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training. | Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang |
| 2025 | IECON | Optimized Design and Experimental Validation of a 4.1 MVA/1 kHz Medium-Frequency Transformer for High-Power DC Transformers. | Jialiang Hu, Weihong Yang, Yiqing Ma, Bin Cui, Zhe Yang, Xin Jin, Xueteng Tang, Mingli Fu, Biao Zhao |
| 2025 | IECON | Loss Analysis of the Clamping Circuit in an IGCT-Based High Step-Up Resonant DC transformer. | Yiqing Ma, Jialiang Hu, Bin Cui, Xueteng Tang, Hongjie Gong, Jiaqing Yan, Biao Zhao |
| 2025 | IECON | Global Zero-Vector Substitution Current Balancing Control for a 19kA Multilevel CSC in Hydrogen Electrolysis. | Tianji Zhou, Biao Zhao, Bin Cui, Tianyu Qiu, Yantao Lou, Xiaoping Sun |
| 2025 | KDD | LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification. | Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui |
| 2025 | KDD | Improved Accuracy, Declining Orders: Uncovering the Vicious Competition Trap in Multi-Domain Recommendation. | Dan Wang, Zijian Song, Lifang Deng, Yihuan Wu, Jin Niu, Jiandong Zhang, Kaigui Bian, Bin Cui |
| 2025 | SIGCOMM | ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs. | Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu |
| 2025 | SDM | StarRec: A Hypergraph-based Framework with Star-Expansion for Multi-Behavior Recommendation. | Wenhan Zhang, Zijian Song, Yihuan Wu, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui |
| 2024 | AAAI | Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. | Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui |
| 2024 | ASPLOS | SpotServe: Serving Generative Large Language Models on Preemptible Instances. | Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia |
| 2024 | CIKM | MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation. | Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui |
| 2024 | CVPR | Structure-Guided Adversarial Training of Diffusion Models. | Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui |
| 2024 | ICDE | VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure. | Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang, Bin Cui |
| 2024 | ICDE | Online Detection of Outstanding Quantiles with QuantileFilter. | Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui |
| 2024 | ICDE | MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization. | Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui |
| 2024 | ICDE | CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding. | Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui |
| 2024 | ICDE | Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling. | Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui |
| 2024 | ICDE | 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 |
| 2024 | ICDE | HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. | Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui |
| 2024 | ICDE | BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. | Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin |
| 2024 | ICDE | Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. | Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui |
| 2024 | ICDE | Scalable Overspeed Item Detection in Streams. | Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui |
| 2024 | ICDE | BIM: Improving Graph Neural Networks with Balanced Influence Maximization. | Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui |
| 2024 | ICDE | NC-ALG: Graph-Based Active Learning Under Noisy Crowd. | Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui |
| 2024 | ICLR | VQGraph: Rethinking Graph Representation Space 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. | Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang |
| 2024 | ICML | Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. | Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui |
| 2024 | IJCAI | X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. | Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui |
| 2024 | KDD | Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. | Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq |
| 2024 | KDD | Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement. | Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Bin Cui |
| 2024 | WWW | On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. | Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui |
| 2024 | SIGMOD | Demystifying Data Management for Large Language Models. | Xupeng Miao, Zhihao Jia, Bin Cui |
| 2024 | SIGMOD | NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. | Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang |
| 2024 | SOSP | Enabling Parallelism Hot Switching for Efficient Training of Large Language Models. | Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui |
| 2023 | AAAI | CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. | Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui |
| 2023 | AAAI | 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 |
| 2023 | APWEB | Graph-Enforced Neural Network for Attributed Graph Clustering. | Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui |
| 2023 | CIKM | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. | Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong |
| 2023 | ICDE | 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 |
| 2023 | ICDE | 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 |
| 2023 | ICDE | 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 |
| 2023 | ICDE | SketchConf: A Framework for Automatic Sketch Configuration. | Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui |
| 2023 | ICDE | 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 |
| 2023 | ICDE | 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 |
| 2023 | IJCAI | OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. | Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui |
| 2023 | IWQoS | SteadySketch: Finding Steady Flows in Data Streams. | Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui |
| 2023 | KDD | 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 |
| 2023 | KDD | SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch. | Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui |
| 2023 | KDD | Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream. | Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui |
| 2023 | KDD | 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 |
| 2023 | SIGIR | StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. | Jiasheng Zhang, Jie Shao, Bin Cui |
| 2022 | CIKM | UDM: A Unified Deep Matching Framework in Recommender Systems. | Long Guo, Fei Fang, Binqiang Zhao, Bin Cui |
| 2022 | CIKM | Scalable Graph Sampling on GPUs with Compressed Graph. | Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui |
| 2022 | CVPR | PointCLIP: Point Cloud Understanding by CLIP. | Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li |
| 2022 | HPCC | Message from Data Science and Systems 2022 Program Chairs. | Bin Cui, Chuan Li, Anwer Al-Dulaimi |
| 2022 | ICDE | HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. | Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li |
| 2022 | ICDE | PeriodicSketch: Finding Periodic Items in Data Streams. | Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui |
| 2022 | ICDE | 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 |
| 2022 | ICDE | DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). | Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui |
| 2022 | ICDE | 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 |
| 2022 | ICDE | TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. | Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui |
| 2022 | ICDE | Contrastive Learning for Sequential Recommendation. | Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui |
| 2022 | ICDE | The Stair Sketch: Bringing more Clarity to Memorize Recent Events. | Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig |
| 2022 | ICLR | 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 |
| 2022 | ICML | Deep and Flexible Graph Neural Architecture Search. | Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui |
| 2022 | ICML | 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 |
| 2022 | ICNP | 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 |
| 2022 | IGARSS | Visual Perception Based Semantic SAR Change Detection. | Yao Peng, Bin Cui |
| 2022 | IGARSS | Markov Random Field Based Spectral-Spatial Fusion Network for Hyperspectral Image Classification. | Yao Peng, Bin Cui |
| 2022 | KDD | Analyzing Online Transaction Networks with Network Motifs. | Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui |
| 2022 | KDD | Transfer Learning based Search Space Design for Hyperparameter Tuning. | Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui |
| 2022 | KDD | TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. | Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui |
| 2022 | KDD | Model Degradation Hinders Deep Graph Neural Networks. | Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui |
| 2022 | KDD | Graph Attention Multi-Layer Perceptron. | Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui |
| 2022 | WWW | 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 |
| 2022 | SAC | 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 |
| 2022 | SIGMOD | BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. | Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui |
| 2022 | SIGMOD | 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 |
| 2022 | SIGMOD | Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties. | Yahui Sun, Shuai Ma, Bin Cui |
| 2022 | SIGMOD | Towards Dynamic and Safe Configuration Tuning for Cloud Databases. | Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui |
| 2022 | SIGMOD | 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 |
| 2021 | AAAI | MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. | Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui |
| 2021 | CIKM | iMap: Incremental Node Mapping between Large Graphs Using GNN. | Yikuan Xia, Jun Gao, Bin Cui |
| 2021 | CIKM | 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 |
| 2021 | ICDE | 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 |
| 2021 | ICDE | Explore User Neighborhood for Real-time E-commerce Recommendation. | Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui |
| 2021 | ICDE | UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. | Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen |
| 2021 | ICDE | 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 |
| 2021 | IJCAI | Challenges and Opportunities of Building Fast GBDT Systems. | Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui |
| 2021 | KDD | 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 |
| 2021 | KDD | DeGNN: Improving Graph Neural Networks with Graph Decomposition. | Xupeng Miao, Nezihe Merve Grel, 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 |
| 2021 | KDD | 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 |
| 2021 | SIGMOD | VF | Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui |
| 2021 | SIGMOD | Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. | Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui |
| 2021 | SIGMOD | ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. | Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui |
| 2021 | SIGMOD | 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 |
| 2021 | SIGMOD | BurstSketch: Finding Bursts in Data Streams. | Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui |
| 2020 | AAAI | Efficient Automatic CASH via Rising Bandits. | Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | APWEB | Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences. | Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui |
| 2020 | ICASSP | 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 |
| 2020 | ICDE | Group Recommendation with Latent Voting Mechanism. | Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui |
| 2020 | ICDE | 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 |
| 2020 | ICDE | C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. | Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang |
| 2020 | ICDE | Efficient Diversity-Driven Ensemble for Deep Neural Networks. | Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui |
| 2020 | ICML | 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 |
| 2020 | KDD | 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 |
| 2020 | KDD | 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 |
| 2020 | SIGMOD | Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. | Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen |
| 2020 | SIGMOD | Reliable Data Distillation on Graph Convolutional Network. | Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui |
| 2019 | APWEB | FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. | Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui |
| 2019 | DASFAA | Sparse Gradient Compression for Distributed SGD. | Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang |
| 2019 | ICDE | Multi-copy Cuckoo Hashing. | Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui |
| 2019 | ICDE | 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 |
| 2019 | ICDE | MLlib*: Fast Training of GLMs Using Spark MLlib. | Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui |
| 2019 | KDD | 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 |
| 2019 | SIGMOD | PS2: Parameter Server on Spark. | Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao |
| 2018 | APWEB | CUTE: Querying Knowledge Graphs by Tabular Examples. | Zichen Wang, Tian Li, Yingxia Shao, Bin Cui |
| 2018 | ER | CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification. | Long Guo, Dongxiang Zhang, Lei Wang, Han Wang, Bin Cui |
| 2018 | ICDE | Fast Parallel Path Concatenation for Graph Extraction. | Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu |
| 2018 | SIGMOD | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. | Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu |
| 2018 | SIGMOD | SketchML: Accelerating Distributed Machine Learning with Data Sketches. | Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui |
| 2018 | SIGMOD | 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 |
| 2017 | APWEB | TeslaML: Steering Machine Learning Automatically in Tencent. | Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui |
| 2017 | DASFAA | StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System. | Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu |
| 2017 | ICDE | 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 |
| 2017 | ICDE | TencentBoost: A Gradient Boosting Tree System with Parameter Server. | Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang |
| 2017 | ICDE | 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 |
| 2017 | IECON | Research on a dual active bridge based power electronics transformer using nanocrystalline and Silicon Carbide. | Bin Cui, Xinyang Li, Pengfei Yao, Xiaohua Jiang, Siqi Li, Tao Wang, Le Zhang |
| 2017 | SIGMOD | Heterogeneity-aware Distributed Parameter Servers. | Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu |
| 2016 | COCOON | Satisfiability of Linear Time Mu-Calculus on Finite Traces. | Yao Liu, Zhenhua Duan, Cong Tian, Bin Cui |
| 2016 | SIGMOD | Real-time Video Recommendation Exploration. | Yanxiang Huang, Bin Cui, Jie Jiang, Kunqian Hong, Wenyu Zhang, Yiran Xie |
| 2016 | SIGMOD | Tornado: A System For Real-Time Iterative Analysis Over Evolving Data. | Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong |
| 2015 | ICDE | Finding top-k local users in geo-tagged social media data. | Jinling Jiang, Hua Lu, Bin Yang, Bin Cui |
| 2015 | ICDE | Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. | Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu |
| 2015 | IECON | Evaluations and measurements of a high frequency nanocrystalline core transformer for power converters. | Xiaohua Jiang, Jin Xu, Bin Cui, Yingyu Zeng, Zhongxi Li |
| 2015 | IECON | Dynamic physical limits of a phase-shifted full bridge circuit for power supply of Magnetic Resonance Imaging gradient amplifiers. | Hongliang Shi, Bin Cui, Yingyu Zeng, Jing Xu, Xiaohua Jiang |
| 2015 | SIGMOD | TencentRec: Real-time Stream Recommendation in Practice. | Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, Ying Xu |
| 2015 | SIGMOD | Community Level Diffusion Extraction. | Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing |
| 2015 | SIGMOD | Exploiting Matrix Dependency for Efficient Distributed Matrix Computation. | Lele Yu, Yingxia Shao, Bin Cui |
| 2014 | AAAI | User Group Oriented Temporal Dynamics Exploration. | Zhiting Hu, Junjie Yao, Bin Cui |
| 2014 | SIGMOD | Efficient cohesive subgraphs detection in parallel. | Yingxia Shao, Lei Chen, Bin Cui |
| 2014 | SIGMOD | Parallel subgraph listing in a large-scale graph. | Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu |
| 2014 | SIGMOD | Towards unified ad-hoc data processing. | Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi |
| 2014 | SIGMOD | A temporal context-aware model for user behavior modeling in social media systems. | Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang |
| 2013 | APWEB | A Probabilistic Data Replacement Strategy for Flash-Based Hybrid Storage System. | Yanfei Lv, Xuexuan Chen, Guangyu Sun, Bin Cui |
| 2013 | CIKM | Hotness-aware buffer management for flash-based hybrid storage systems. | Yanfei Lv, Bin Cui, Xuexuan Chen, Jing Li |
| 2013 | CIKM | PAGE: a partition aware graph computation engine. | Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma |
| 2013 | ICDE | A unified model for stable and temporal topic detection from social media data. | Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao |
| 2013 | KDD | LCARS: a location-content-aware recommender system. | Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen |
| 2013 | WISE | A Multiple Feature Integration Model to Infer Occupation from Social Media Records. | Xiang Wang, Lele Yu, Junjie Yao, Bin Cui |
| 2012 | EDBT | Efficient approximation of the maximal preference scores by lightweight cubic views. | Yueguo Chen, Bin Cui, Xiaoyong Du, Anthony K. H. Tung |
| 2012 | ICDE | Keyword Query Reformulation on Structured Data. | Junjie Yao, Bin Cui, Liansheng Hua, Yuxin Huang |
| 2012 | ICDE | Provenance-based Indexing Support in Micro-blog Platforms. | Junjie Yao, Bin Cui, Zijun Xue, Qingyun Liu |
| 2012 | SIGMOD | Temporal provenance discovery in micro-blog message streams (abstract only). | Zijun Xue, Junjie Yao, Bin Cui |
| 2011 | ADMA | Finding a Wise Group of Experts in Social Networks. | Hongzhi Yin, Bin Cui, Yuxin Huang |
| 2011 | DASFAA | Log-Compact R-Tree: An Efficient Spatial Index for SSD. | Yanfei Lv, Jing Li, Bin Cui, Xuexuan Chen |
| 2011 | DASFAA | Modeling User Expertise in Folksonomies by Fusing Multi-type Features. | Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, Yanhong Zhou |
| 2011 | SIGMOD | Operation-aware buffer management in flash-based systems. | Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen |
| 2010 | AAAI | Temporal and Social Context Based Burst Detection from Folksonomies. | Junjie Yao, Bin Cui, Yuxin Huang, Xin Jin |
| 2010 | DASFAA | Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks. | Lijiang Chen, Bin Cui, Linhao Xu, Heng Tao Shen |
| 2010 | DASFAA | ISIS: A New Approach for Efficient Similarity Search in Sparse Databases. | Bin Cui, Jiakui Zhao, Gao Cong |
| 2010 | ICDE | Detecting bursty events in collaborative tagging systems. | Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou |
| 2010 | ICDE | Efficient similarity matching of Time Series Cliques with natural relations. | Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao |
| 2010 | WWW | A generalized framework of exploring category information for question retrieval in community question answer archives. | Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen |
| 2010 | SIGIR | Content-enriched classifier for web video classification. | Bin Cui, Ce Zhang, Gao Cong |
| 2010 | SIGMOD | Multiple feature fusion for social media applications. | Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao |
| 2010 | WISE | Evolutionary Taxonomy Construction from Dynamic Tag Space. | Bin Cui, Junjie Yao, Gao Cong, Yuxin Huang |
| 2009 | CIKM | The use of categorization information in language models for question retrieval. | Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang |
| 2009 | CIKM | Efficient information retrieval in mobile peer-to-peer networks. | Lijiang Chen, Bin Cui, Heng Tao Shen, Wei Lu, Xiaofang Zhou |
| 2009 | CIKM | Constructing evolutionary taxonomy of collaborative tagging systems. | Junjie Yao, Yuxin Huang, Bin Cui |
| 2009 | DASFAA | Video Annotation System Based on Categorizing and Keyword Labelling. | Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, Ce Zhang |
| 2009 | DASFAA | A Revisit of Query Expansion with Different Semantic Levels. | Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang |
| 2009 | GECCO | A new multimedia information data mining method. | Longcun Jin, Wanggen Wan, Bin Cui, Xiaoqing Yu, Hongwei Xu |
| 2009 | ICCS | Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks. | Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai |
| 2009 | ICDE | Routing Questions to the Right Users in Online Communities. | Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao |
| 2009 | Networking | A Novel Content Distribution Mechanism in DHT Networks. | Quanqing Xu, Heng Tao Shen, Bin Cui, Xiaoxiao Hou, Yafei Dai |
| 2008 | APWEB | Squeezing Long Sequence Data for Efficient Similarity Search. | Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang |
| 2008 | DEXA | Effective Skyline Cardinality Estimation on Data Streams. | Yang Lu, Jiakui Zhao, Lijun Chen, Bin Cui, Dongqing Yang |
| 2008 | EDBT | Compacting music signatures for efficient music retrieval. | Bin Cui, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan |
| 2008 | ICDCS | iSky: Efficient and Progressive Skyline Computing in a Structured P2P Network. | Lijiang Chen, Bin Cui, Hua Lu, Linhao Xu, Quanqing Xu |
| 2008 | ICDE | Parallel Distributed Processing of Constrained Skyline Queries by Filtering. | Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei Dai, Yongluan Zhou |
| 2008 | WWW | Semantic similarity based on compact concept ontology. | Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong |
| 2008 | WISE | Achieving Effective Multi-term Queries for Fast DHT Information Retrieval. | Quanqing Xu, Heng Tao Shen, Yafei Dai, Bin Cui, Xiaofang Zhou |
| 2007 | DASFAA | Optimizing Moving Queries over Moving Object Data Streams. | Dan Lin, Bin Cui, Dongqing Yang |
| 2007 | DASFAA | 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 |
| 2007 | DASFAA | An Optimized Process Neural Network Model. | Guojie Song, Dongqing Yang, Yunfeng Liu, Bin Cui, Ling Wu, Kunqing Xie |
| 2007 | DASFAA | Evaluating MAX and MIN over Sliding Windows with Various Size Using the Exemplary Sketch. | Jiakui Zhao, Dongqing Yang, Bin Cui, Lijun Chen, Jun Gao |
| 2007 | SIGMOD | Effective variation management for pseudo periodical streams. | Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou |
| 2006 | CSCWD | A Web-based Framework For On-line Collaborative Learning. | Lidan Shou, Bin Cui, Gang Chen, Jinxiang Dong |
| 2006 | DASFAA | Summarizing Frequent Patterns Using Profiles. | Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang |
| 2006 | ICDE | HSI: A Novel Framework for Efficient Automated Singer Identification in Large Music Database. | Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan |
| 2006 | SIGIR | Towards efficient automated singer identification in large music databases. | Jialie Shen, Bin Cui, John Shepherd, Kian-Lee Tan |
| 2005 | ADC | Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases. | Bin Cui, Heng Tao Shen, Jialie Shen, Kian-Lee Tan |
| 2005 | APWEB | Indexing Text and Visual Features for WWW Images. | Heng Tao Shen, Xiaofang Zhou, Bin Cui |
| 2005 | DASFAA | Towards Optimal Utilization of Main Memory for Moving Object Indexing. | Bin Cui, Dan Lin, Kian-Lee Tan |
| 2005 | DEXA | On Effective E-mail Classification via Neural Networks. | Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan |
| 2004 | ADC | Diagonal Ordering: A New Approach to High-Dimensional KNN Processing. | Jing Hu, Bin Cui, Heng Tao Shen |
| 2004 | DASFAA | Adaptive Quantization of the High-Dimensional Data for Efficient KNN Processing. | Bin Cui, Jing Hu, Heng Tao Shen, Cui Yu |
| 2003 | SIGMOD | Contorting High Dimensional Data for Efficient Main Memory Processing. | Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan |
| 2003 | VLDB | Supporting Frequent Updates in R-Trees: A Bottom-Up Approach. | Mong-Li Lee, Wynne Hsu, Christian S. Jensen, Bin Cui, Keng Lik Teo |
| 2001 | DEXA | Range Top/Bottom k Queries in OLAP Sparse Data Cubes. | Zhong Wei Luo, Tok Wang Ling, Chuan-Heng Ang, Sin Yeung Lee, Bin Cui |