| 2026 | ACL | RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents. | Zijie Dai, Shiyuan Deng, Sheng Guan, Yizhou Tian, Xin Yao, Xiao Yan, James Cheng |
| 2026 | ACL | SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning. | Yongfeng Huang, Ruiying Chen, James Cheng |
| 2026 | ICS | SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving. | Qihui Zhou, Peiqi Yin, Pengfei Zuo, Chao Wang, James Cheng |
| 2026 | KDD | PilotANN: Memory-Bounded GPU Acceleration for Vector Search. | Yuntao Gui, Peiqi Yin, Xiao Yan, Chaorui Zhang, Weixi Zhang, James Cheng |
| 2026 | KDD | Hitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering. | Qihui Zhou, Changji Li, Guanxian Jiang, Chenhao Ma, Xiao Yan, Yu Mao, Ming-Chang Yang, James Cheng |
| 2026 | NSDI | DistVS: Large-scale Vector Search with Compute-Memory Disaggregation. | Peiqi Yin, Xiao Yan, Shiyuan Deng, Hui Li, Yifan Zhu, Xiangyu Zhi, Jingqi Mao, Ran Xu, Wenliang Zhang, James Cheng |
| 2026 | SIGMOD | FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. | Yuhao Lin, Zhipeng Tang, Jiayan Tong, Junqing Xiao, Bin Lu, Yuhang Li, Chao Li, Zhiguo Zhang, Junhua Wang, Hao Luo, James Cheng, Chuang Hu, Jiawei Jiang, Xiao Yan |
| 2025 | EMNLP | Retrieval-Augmented Generation with Hierarchical Knowledge. | Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng |
| 2025 | ICLR | BrainOOD: Out-of-distribution Generalizable Brain Network Analysis. | Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke |
| 2025 | ICML | Hierarchical Graph Tokenization for Molecule-Language Alignment. | Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian |
| 2025 | PPoPP | Adaptive Parallel Training for Graph Neural Networks. | Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng |
| 2024 | AAAI | Enhancing Evolving Domain Generalization through Dynamic Latent Representations. | Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng |
| 2024 | ICDE | Wings: Efficient Online Multiple Graph Pattern Matching. | Guanxian Jiang, Yunjian Zhao, Yichao Li, Zhi Liu, Tatiana Jin, Wanying Zheng, Boyang Li, James Cheng |
| 2024 | ICLR | Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. | Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng |
| 2024 | ICML | How Interpretable Are Interpretable Graph Neural Networks? | Yongqiang Chen, Yatao Bian, Bo Han, James Cheng |
| 2024 | KDD | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng |
| 2024 | WWW | Detecting and Understanding Self-Deleting JavaScript Code. | Xinzhe Wang, Zeyang Zhuang, Wei Meng, James Cheng |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | KDD | DGI: An Easy and Efficient Framework for GNN Model Evaluation. | Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang |
| 2023 | PPoPP | DSP: Efficient GNN Training with Multiple GPUs. | Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis |
| 2022 | AISTATS | Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. | Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng |
| 2022 | ICLR | Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. | Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng |
| 2022 | ICML | Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. | Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng |
| 2022 | SC | HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization. | Yuntao Gui, Yidi Wu, Han Yang, Tatiana Jin, Boyang Li, Qihui Zhou, James Cheng, Fan Yu |
| 2022 | SC | VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs. | Guanxian Jiang, Qihui Zhou, Tatiana Jin, Boyang Li, Yunjian Zhao, Yichao Li, James Cheng |
| 2021 | AAAI | Rethinking Graph Regularization for Graph Neural Networks. | Han Yang, Kaili Ma, James Cheng |
| 2021 | CIKM | HyperGraph Convolution Based Attributed HyperGraph Clustering. | Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han |
| 2021 | EuroSys | DGCL: an efficient communication library for distributed GNN training. | Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu |
| 2021 | EuroSys | Seastar: vertex-centric programming for graph neural networks. | Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu |
| 2021 | IJCNN | Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. | Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng |
| 2021 | SIGMOD | Vertex-Centric Visual Programming for Graph Neural Networks. | Yidi Wu, Yuntao Gui, Tatiana Jin, James Cheng, Xiao Yan, Peiqi Yin, Yufei Cai, Bo Tang, Fan Yu |
| 2021 | USENIX | Scaling Large Production Clusters with Partitioned Synchronization. | Yihui Feng, Zhi Liu, Yunjian Zhao, Tatiana Jin, Yidi Wu, Yang Zhang, James Cheng, Chao Li, Tao Guan |
| 2020 | AAAI | Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. | Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng |
| 2020 | AAAI | Understanding and Improving Proximity Graph Based Maximum Inner Product Search. | Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang |
| 2020 | ECIR | PMD: An Optimal Transportation-Based User Distance for Recommender Systems. | Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen |
| 2020 | EuroSys | Improving resource utilization by timely fine-grained scheduling. | Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng |
| 2020 | ICLR | Measuring and Improving the Use of Graph Information in Graph Neural Networks. | Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang |
| 2020 | IJCAI | Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. | Qinghua Ding, Kaiwen Zhou, James Cheng |
| 2020 | SIGIR | Convolutional Embedding for Edit Distance. | Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng |
| 2020 | SIGMOD | High Performance Distributed OLAP on Property Graphs with Grasper. | Hongzhi Chen, Bowen Wu, Shiyuan Deng, Chenghuan Huang, Changji Li, Yichao Li, James Cheng |
| 2020 | UAI | Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. | Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng |
| 2019 | AISTATS | Direct Acceleration of SAGA using Sampled Negative Momentum. | Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo |
| 2019 | CLOUD | Grasper: A High Performance Distributed System for OLAP on Property Graphs. | Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jie Zhang, Yifan Hou, Xiao Yan |
| 2019 | ICPP | Lightweight Fault Tolerance in Pregel-Like Systems. | Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore |
| 2019 | KDD | A Representation Learning Framework for Property Graphs. | Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang |
| 2019 | SIGMOD | Large Scale Graph Mining with G-Miner. | Hongzhi Chen, Xiaoxi Wang, Chenghuan Huang, Juncheng Fang, Yifan Hou, Changji Li, James Cheng |
| 2019 | USENIX | Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. | Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu |
| 2018 | ACML | ASVRG: Accelerated Proximal SVRG. | Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin |
| 2018 | AISTATS | Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. | Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida |
| 2018 | EuroSys | G-Miner: an efficient task-oriented graph mining system. | Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng |
| 2018 | ICDE | Scalable De Novo Genome Assembly Using Pregel. | Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao |
| 2018 | ICML | A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. | Kaiwen Zhou, Fanhua Shang, James Cheng |
| 2018 | SIGMOD | A General and Efficient Querying Method for Learning to Hash. | Jinfeng Li, Xiao Yan, Jie Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng |
| 2017 | AAAI | Accelerated Variance Reduced Stochastic ADMM. | Yuanyuan Liu, Fanhua Shang, James Cheng |
| 2017 | CLOUD | Architectural implications on the performance and cost of graph analytics systems. | Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore |
| 2017 | DASFAA | Efficient Processing of Growing Temporal Graphs. | Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan |
| 2017 | SIGIR | LoSHa: A General Framework for Scalable Locality Sensitive Hashing. | Jinfeng Li, James Cheng, Fan Yang, Yuzhen Huang, Yunjian Zhao, Xiao Yan, Ruihao Zhao |
| 2017 | SIGMOD | The Best of Both Worlds: Big Data Programming with Both Productivity and Performance. | Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng |
| 2016 | AAAI | Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. | Fanhua Shang, Yuanyuan Liu, James Cheng |
| 2016 | AISTATS | Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. | Fanhua Shang, Yuanyuan Liu, James Cheng |
| 2016 | ICDE | Reachability and time-based path queries in temporal graphs. | Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke |
| 2016 | KDD | Diversified Temporal Subgraph Pattern Mining. | Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui |
| 2016 | SIGMOD | Big Graph Analytics Systems. | Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng |
| 2016 | SIGMOD | Quegel: A General-Purpose System for Querying Big Graphs. | Qizhen Zhang, Da Yan, James Cheng |
| 2015 | WWW | Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. | Da Yan, James Cheng, Yi Lu, Wilfred Ng |
| 2014 | AAAI | Generalized Higher-Order Tensor Decomposition via Parallel ADMM. | Fanhua Shang, Yuanyuan Liu, James Cheng |
| 2014 | BigData | Rectangle Counting in Large Bipartite Graphs. | Jia Wang, Ada Wai-Chee Fu, James Cheng |
| 2014 | BigData | Distributed Maximal Clique Computation. | Yanyan Xu, James Cheng, Ada Wai-Chee Fu, Yingyi Bu |
| 2014 | CIKM | Robust Principal Component Analysis with Missing Data. | Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng |
| 2014 | CIKM | Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach. | Zhou Zhao, James Cheng, Wilfred Ng |
| 2014 | CIKM | SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing. | Zhou Zhao, James Cheng, Furu Wei, Ming Zhou, Wilfred Ng, Yingjun Wu |
| 2014 | ICDM | Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. | Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng |
| 2014 | SIGMOD | Tripartite graph clustering for dynamic sentiment analysis on social media. | Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman |
| 2014 | UAI | Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng |
| 2014 | SDM | Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong |
| 2013 | ICDE | Finding distance-preserving subgraphs in large road networks. | Da Yan, James Cheng, Wilfred Ng, Steven Liu |
| 2013 | KDD | Redundancy-aware maximal cliques. | Jia Wang, James Cheng, Ada Wai-Chee Fu |
| 2013 | SIGMOD | TF-Label: a topological-folding labeling scheme for reachability querying in a large graph. | James Cheng, Silu Huang, Huanhuan Wu, Ada Wai-Chee Fu |
| 2012 | CIKM | Efficient algorithms for generalized subgraph query processing. | Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick |
| 2012 | KDD | Fast algorithms for maximal clique enumeration with limited memory. | James Cheng, Linhong Zhu, Yiping Ke, Shumo Chu |
| 2012 | SIGMOD | Efficient processing of distance queries in large graphs: a vertex cover approach. | James Cheng, Yiping Ke, Shumo Chu, Carter Cheng |
| 2012 | SIGMOD | A model-based approach to attributed graph clustering. | Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng |
| 2011 | ICDE | Efficient core decomposition in massive networks. | James Cheng, Yiping Ke, Shumo Chu, M. Tamer zsu |
| 2011 | KDD | Triangle listing in massive networks and its applications. | Shumo Chu, James Cheng |
| 2010 | DASFAA | Querying Large Graph Databases. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2010 | SIGMOD | K-isomorphism: privacy preserving network publication against structural attacks. | James Cheng, Ada Wai-Chee Fu, Jia Liu |
| 2010 | SIGMOD | Finding maximal cliques in massive networks by H*-graph. | James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu |
| 2010 | SIGMOD | GBLENDER: towards blending visual query formulation and query processing in graph databases. | Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, Byron Choi |
| 2009 | CIKM | Efficient processing of group-oriented connection queries in a large graph. | James Cheng, Yiping Ke, Wilfred Ng |
| 2009 | ICDE | Context-Aware Object Connection Discovery in Large Graphs. | James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu |
| 2009 | ICDM | Efficient Discovery of Frequent Correlated Subgraph Pairs. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2009 | SDM | Top-k Correlative Graph Mining. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2007 | DASFAA | A Development of Hash-Lookup Trees to Support Querying Streaming XML. | James Cheng, Wilfred Ng |
| 2007 | DASFAA | Mining Vague Association Rules. | An Lu, Yiping Ke, James Cheng, Wilfred Ng |
| 2007 | DASFAA | An Efficient Index Lattice for XML Query Evaluation. | Wilfred Ng, James Cheng |
| 2007 | KDD | Correlation search in graph databases. | Yiping Ke, James Cheng, Wilfred Ng |
| 2007 | SIGMOD | Fg-index: towards verification-free query processing on graph databases. | James Cheng, Yiping Ke, Wilfred Ng, An Lu |
| 2006 | CaiSE | An Efficient Approach to Support Querying Secure Outsourced XML Information. | Yin Yang, Wilfred Ng, Ho Lam Lau, James Cheng |
| 2006 | ICDE | MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. | Yiping Ke, James Cheng, Wilfred Ng |
| 2006 | ICDM | delta-Tolerance Closed Frequent Itemsets. | James Cheng, Yiping Ke, Wilfred Ng |
| 2006 | KDD | Mining quantitative correlated patterns using an information-theoretic approach. | Yiping Ke, James Cheng, Wilfred Ng |
| 2006 | PAKDD | Maintaining Frequent Itemsets over High-Speed Data Streams. | James Cheng, Yiping Ke, Wilfred Ng |
| 2004 | EDBT | XQzip: Querying Compressed XML Using Structural Indexing. | James Cheng, Wilfred Ng |