James Cheng - RankMe

267 papers A* 49A 22B 10C 1Journal 149Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. CoRR 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
2026	—	`conf`	Hitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering. KDD (1) Qihui Zhou, Changji Li, Guanxian Jiang, Chenhao Ma, Xiao Yan, Yu Mao, Ming-Chang Yang, James Cheng
2026	J	`jnl`	On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents. CoRR Deyu Zou, Yongqiang Chen, Fan Feng, Mufei Li, Pan Li, Yu Gong, James Cheng
2026	—	`conf`	PilotANN: Memory-Bounded GPU Acceleration for Vector Search. KDD (1) Yuntao Gui, Peiqi Yin, Xiao Yan, Chaorui Zhang, Weixi Zhang, James Cheng
2026	J	`jnl`	Predicting drug responses of unseen cell types through transfer learning with foundation models. Nat. Comput. Sci. Yixuan Wang, Xinyuan Liu, Yimin Fan, Binghui Xie, James Cheng, Kam Chung Wong, Pak Hang Peter Cheung, Irwin King, Yu Li
2026	J	`jnl`	vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models. CoRR Peiqi Yin, Jiangyun Zhu, Han Gao, Chenguang Zheng, Yongxiang Huang, Taichang Zhou, Ruirui Yang, WeiZhi Liu, Weiqing Chen, Canlin Guo, Didan Deng, Zifeng Mo, Cong Wang, James Cheng, Roger Wang, Hongsheng Liu
2025	B	`conf`	Adaptive Parallel Training for Graph Neural Networks. PPoPP Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng
2025	J	`jnl`	Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. CoRR Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
2025	J	`jnl`	Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. Proc. ACM Manag. Data Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
2025	A*	`conf`	BrainOOD: Out-of-distribution Generalizable Brain Network Analysis. ICLR Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke
2025	J	`jnl`	BrainOOD: Out-of-distribution Generalizable Brain Network Analysis. CoRR Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke
2025	J	`jnl`	CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models. Proc. ACM Manag. Data Peiqi Yin, Qihui Zhou, Xiao Yan, Chao Wang, Eric Lo, Changji Li, Lan Lu, Hua Fan, Wenchao Zhou, Ming-Chang Yang, James Cheng
2025	J	`jnl`	DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization. CoRR Jiaqi Wang, Yuhang Zhou, Zhixiong Zhang, Qiguang Chen, Yongqiang Chen, James Cheng
2025	J	`jnl`	DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization. Trans. Mach. Learn. Res. Jiaqi Wang, Yuhang Zhou, Zhixiong Zhang, Qiguang Chen, Yongqiang Chen, James Cheng
2025	J	`jnl`	Gorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search. CoRR Peiqi Yin, Xiao Yan, Qihui Zhou, Hui Li, Xiaolu Li, Lin Zhang, Meiling Wang, Xin Yao, James Cheng
2025	A*	`conf`	Hierarchical Graph Tokenization for Molecule-Language Alignment. ICML Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
2025	A*	`conf`	MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models. ACM Multimedia Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025	J	`jnl`	MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models. CoRR Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025	J	`jnl`	On the Thinking-Language Modeling Gap in Large Language Models. CoRR Chenxi Liu, Yongqiang Chen, Tongliang Liu, James Cheng, Bo Han, Kun Zhang
2025	J	`jnl`	Oversmoothing as Loss of Sign: Towards Structural Balance in Graph Neural Networks. CoRR Jiaqi Wang, Xinyi Wu, James Cheng, Yifei Wang
2025	J	`jnl`	PilotANN: Memory-Bounded GPU Acceleration for Vector Search. CoRR Yuntao Gui, Peiqi Yin, Xiao Yan, Chaorui Zhang, Weixi Zhang, James Cheng
2025	J	`jnl`	Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving. CoRR Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng
2025	—	`conf`	Retrieval-Augmented Generation with Hierarchical Knowledge. EMNLP (Findings) Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng
2025	J	`jnl`	Retrieval-Augmented Generation with Hierarchical Knowledge. CoRR Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng
2025	J	`jnl`	SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation. CoRR Hui Li, Shiyuan Deng, Xiao Yan, Xiangyu Zhi, James Cheng
2025	J	`jnl`	SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation. Proc. ACM Manag. Data Hui Li, Shiyuan Deng, Xiao Yan, Xiangyu Zhi, James Cheng
2025	J	`jnl`	Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models. CoRR Yuntao Gui, James Cheng
2025	J	`jnl`	SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving. CoRR Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng
2025	J	`jnl`	T CoRR Deyu Zou, Yongqiang Chen, Jianxiang Wang, Haochen Yang, Mufei Li, James Cheng, Pan Li, Yu Gong
2025	J	`jnl`	Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models. CoRR Jiaqi Wang, Kevin Qinghong Lin, James Cheng, Mike Zheng Shou
2025	J	`jnl`	Towards Efficient and Scalable Distributed Vector Search with RDMA. CoRR Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
2025	J	`jnl`	Towards Scalable Oversight with Collaborative Multi-Agent Debate in Error Detection. CoRR Yongqiang Chen, Gang Niu, James Cheng, Bo Han, Masashi Sugiyama
2025	J	`jnl`	Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans? CoRR Jiaqi Wang, Weijia Wu, Yi Zhan, Rui Zhao, Ming Hu, James Cheng, Wei Liu, Philip Torr, Kevin Qinghong Lin
2025	J	`jnl`	Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation. CoRR Deyu Zou, Yongqiang Chen, Mufei Li, Siqi Miao, Chenxi Liu, Bo Han, James Cheng, Pan Li
2024	J	`jnl`	Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching. Proc. ACM Manag. Data Qihui Zhou, Peiqi Yin, Xiao Yan, Changji Li, Guanxian Jiang, James Cheng
2024	A*	`conf`	Detecting and Understanding Self-Deleting JavaScript Code. WWW Xinzhe Wang, Zeyang Zhuang, Wei Meng, James Cheng
2024	A*	`conf`	Discovery of the Hidden World with Large Language Models. NeurIPS Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
2024	J	`jnl`	Discovery of the Hidden World with Large Language Models. CoRR Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
2024	J	`jnl`	Efficient private SCO for heavy-tailed data via averaged clipping. Mach. Learn. Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Tieyong Zeng
2024	A*	`conf`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. AAAI Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. CoRR Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	A*	`conf`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	—	`conf`	Follower Agnostic Learning in Stackelberg Games. CDC Chinmay Maheshwari, James Cheng, Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar
2024	J	`jnl`	GE Proc. ACM Manag. Data Chenguang Zheng, Guanxian Jiang, Xiao Yan, Peiqi Yin, Qihui Zhou, James Cheng
2024	J	`jnl`	HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment. CoRR Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
2024	A*	`conf`	HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection. NeurIPS Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng
2024	A*	`conf`	How Interpretable Are Interpretable Graph Neural Networks? ICML Yongqiang Chen, Yatao Bian, Bo Han, James Cheng
2024	J	`jnl`	How Interpretable Are Interpretable Graph Neural Networks? CoRR Yongqiang Chen, Yatao Bian, Bo Han, James Cheng
2024	J	`jnl`	PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. Parallel Comput. Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng
2024	J	`jnl`	Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
2024	A*	`conf`	Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. KDD Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng
2024	A*	`conf`	Wings: Efficient Online Multiple Graph Pattern Matching. ICDE Guanxian Jiang, Yunjian Zhao, Yichao Li, Zhi Liu, Tatiana Jin, Wanying Zheng, Boyang Li, James Cheng
2023	J	`jnl`	Calibrating and Improving Graph Contrastive Learning. Trans. Mach. Learn. Res. Kaili Ma, Garry Yang, Han Yang, Yongqiang Chen, James Cheng
2023	J	`jnl`	Circinus: Fast Redundancy-Reduced Subgraph Matching. Proc. ACM Manag. Data Tatiana Jin, Boyang Li, Yichao Li, Qihui Zhou, Qianli Ma, Yunjian Zhao, Hongzhi Chen, James Cheng
2023	A*	`conf`	DGI: An Easy and Efficient Framework for GNN Model Evaluation. KDD Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2023	B	`conf`	DSP: Efficient GNN Training with Multiple GPUs. PPoPP Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
2023	A*	`conf`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	J	`jnl`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? CoRR Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	J	`jnl`	FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. Proc. ACM Manag. Data Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng
2023	J	`jnl`	GRACE: A General Graph Convolution Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han
2023	—	`conf`	Graph Feature Management: Impact, Challenges and Opportunities. GRADES-NDA@SIGMOD James Cheng
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	J	`jnl`	Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. CoRR Yongqiang Chen, Binghui Xie, Kaiwen Zhou, Bo Han, Yatao Bian, James Cheng
2023	J	`jnl`	SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification. CoRR Yuntao Gui, Xiao Yan, Peiqi Yin, Han Yang, James Cheng
2023	J	`jnl`	Towards Understanding Feature Learning in Out-of-Distribution Generalization. CoRR Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
2023	J	`jnl`	Towards out-of-distribution generalizable predictions of chemical kinetics properties. CoRR Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong
2023	A*	`conf`	Understanding and Improving Feature Learning for Out-of-Distribution Generalization. NeurIPS Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
2022	J	`jnl`	A Representation Learning Framework for Property Graphs. CoRR Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang
2022	J	`jnl`	An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. CoRR Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng
2022	J	`jnl`	ByteGNN: Efficient Graph Neural Network Training at Large Scale. Proc. VLDB Endow. Chenguang Zheng, Hongzhi Chen, Yuxuan Cheng, Zhezheng Song, Yifan Wu, Changji Li, James Cheng, Hao Yang, Shuai Zhang
2022	J	`jnl`	ByteGraph: A High-Performance Distributed Graph Database in ByteDance. Proc. VLDB Endow. Changji Li, Hongzhi Chen, Shuai Zhang, Yingqian Hu, Chao Chen, Zhenjie Zhang, Meng Li, Xiangchen Li, Dongqing Han, Xiaohui Chen, Xudong Wang, Huiming Zhu, Xuwei Fu, Tingwei Wu, Hongfei Tan, Hengtian Ding, Mengjin Liu, Kangcheng Wang, Ting Ye, Lei Li, Xin Li, Yu Wang, Chenguang Zheng, Hao Yang, James Cheng
2022	J	`jnl`	DGI: Easy and Efficient Inference for GNNs. CoRR Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2022	J	`jnl`	Efficient Private SCO for Heavy-Tailed Data via Clipping. CoRR Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Ming-Chang Yang
2022	J	`jnl`	Elastic Deep Learning in Multi-Tenant GPU Clusters. IEEE Trans. Parallel Distributed Syst. Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu
2022	A*	`conf`	Exact Shape Correspondence via 2D graph convolution. NeurIPS Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng
2022	A*	`conf`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture. Proc. VLDB Endow. Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jie Zhang
2022	A	`conf`	HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization. SC Yuntao Gui, Yidi Wu, Han Yang, Tatiana Jin, Boyang Li, Qihui Zhou, James Cheng, Fan Yu
2022	J	`jnl`	Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Measuring and Improving the Use of Graph Information in Graph Neural Networks. CoRR Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang
2022	J	`jnl`	Pareto Invariant Risk Minimization. CoRR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
2022	A	`conf`	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. AISTATS Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2022	J	`jnl`	RACE: One-sided RDMA-conscious Extendible Hashing. ACM Trans. Storage Pengfei Zuo, Qihui Zhou, Jiazhao Sun, Liu Yang, Shuangwu Zhang, Yu Hua, James Cheng, Rongfeng He, Huabing Yan
2022	J	`jnl`	TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism. IEEE Trans. Parallel Distributed Syst. Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2022	A*	`conf`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. ICLR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. CoRR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022	A	`conf`	VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs. SC Guanxian Jiang, Qihui Zhou, Tatiana Jin, Boyang Li, Yunjian Zhao, Yichao Li, James Cheng
2021	J	`jnl`	Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. CoRR Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2021	A	`conf`	DGCL: an efficient communication library for distributed GNN training. EuroSys Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu
2021	J	`jnl`	G-Tran: Making Distributed Graph Transactions Fast. CoRR Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jie Zhang
2021	A	`conf`	HyperGraph Convolution Based Attributed HyperGraph Clustering. CIKM Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han
2021	J	`jnl`	Improving Graph Representation Learning by Contrastive Regularization. CoRR Kaili Ma, Haochen Yang, Han Yang, Tatiana Jin, Pengfei Chen, Yongqiang Chen, Barakeel Fanseu Kamhoua, James Cheng
2021	J	`jnl`	Local Reweighting for Adversarial Training. CoRR Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng
2021	J	`jnl`	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. CoRR Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2021	A*	`conf`	Rethinking Graph Regularization for Graph Neural Networks. AAAI Han Yang, Kaili Ma, James Cheng
2021	J	`jnl`	Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. IEEE ACM Trans. Comput. Biol. Bioinform. Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong
2021	—	`conf`	Scaling Large Production Clusters with Partitioned Synchronization. USENIX ATC Yihui Feng, Zhi Liu, Yunjian Zhao, Tatiana Jin, Yidi Wu, Yang Zhang, James Cheng, Chao Li, Tao Guan
2021	A	`conf`	Seastar: vertex-centric programming for graph neural networks. EuroSys Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu
2021	B	`conf`	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. IJCNN Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng
2021	J	`jnl`	Timestamped State Sharing for Stream Analytics. IEEE Trans. Parallel Distributed Syst. Yunjian Zhao, Zhi Liu, Yidi Wu, Guanxian Jiang, James Cheng, Kunlong Liu, Xiao Yan
2021	—	`conf`	Vertex-Centric Visual Programming for Graph Neural Networks. SIGMOD Conference Yidi Wu, Yuntao Gui, Tatiana Jin, James Cheng, Xiao Yan, Peiqi Yin, Yufei Cai, Bo Tang, Fan Yu
2020	A	`conf`	Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. UAI Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng
2020	A*	`conf`	Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates. NeurIPS Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2020	J	`jnl`	Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates. CoRR Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2020	A*	`conf`	Convolutional Embedding for Edit Distance. SIGIR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	J	`jnl`	Edit Distance Embedding using Convolutional Neural Networks. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	J	`jnl`	Hierarchical Graph Matching Network for Graph Similarity Computation. CoRR Haibo Xiu, Xiao Yan, Xiaoqiang Wang, James Cheng, Lei Cao
2020	—	`conf`	High Performance Distributed OLAP on Property Graphs with Grasper. SIGMOD Conference Hongzhi Chen, Bowen Wu, Shiyuan Deng, Chenghuan Huang, Changji Li, Yichao Li, James Cheng
2020	A	`conf`	Improving resource utilization by timely fine-grained scheduling. EuroSys Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng
2020	J	`jnl`	Librarians and Administrators on Academic Library Impact Research: Characteristics and Perspectives. Coll. Res. Libr. James Cheng, Starr Hoffman
2020	A*	`conf`	Measuring and Improving the Use of Graph Information in Graph Neural Networks. ICLR Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang
2020	A*	`conf`	Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. AAAI Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng
2020	—	`conf`	PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen
2020	J	`jnl`	Rethinking Graph Regularization For Graph Neural Networks. CoRR Han Yang, Kaili Ma, James Cheng
2020	J	`jnl`	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. CoRR Han Yang, Xiao Yan, Xinyan Dai, James Cheng
2020	J	`jnl`	TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. CoRR Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2020	J	`jnl`	The item selection problem for user cold-start recommendation. CoRR Yitong Meng, Jie Liu, Xiao Yan, James Cheng
2020	A*	`conf`	Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. IJCAI Qinghua Ding, Kaiwen Zhou, James Cheng
2020	J	`jnl`	Understanding Graph Neural Networks from Graph Signal Denoising Perspectives. CoRR Guoji Fu, Yifan Hou, Jie Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng
2020	A*	`conf`	Understanding and Improving Proximity Graph Based Maximum Inner Product Search. AAAI Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang
2020	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao
2020	A	`conf`	Wasserstein Collaborative Filtering for Item Cold-start Recommendation. UMAP Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng
2019	A*	`conf`	A Representation Learning Framework for Property Graphs. KDD Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang
2019	A	`conf`	Direct Acceleration of SAGA using Sampled Negative Momentum. AISTATS Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo
2019	J	`jnl`	Elastic deep learning in multi-tenant GPU cluster. CoRR Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, James Cheng
2019	—	`conf`	Grasper: A High Performance Distributed System for OLAP on Property Graphs. SoCC Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jie Zhang, Yifan Hou, Xiao Yan
2019	J	`jnl`	Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan
2019	—	`conf`	Large Scale Graph Mining with G-Miner. SIGMOD Conference Hongzhi Chen, Xiaoxi Wang, Chenghuan Huang, Juncheng Fang, Yifan Hou, Changji Li, James Cheng
2019	B	`conf`	Lightweight Fault Tolerance in Pregel-Like Systems. ICPP Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore
2019	J	`jnl`	Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. CoRR Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng
2019	—	`conf`	Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. IEEE BigData Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng
2019	J	`jnl`	Pyramid: A General Framework for Distributed Similarity Search. CoRR Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng
2019	—	`conf`	Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. USENIX ATC Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu
2019	J	`jnl`	Understanding and Improving Proximity Graph based Maximum Inner Product Search. CoRR Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang
2019	J	`jnl`	Yugong: Geo-Distributed Data and Job Placement at Scale. Proc. VLDB Endow. Yuzhen Huang, Yingjie Shi, Zheng Zhong, Yihui Feng, James Cheng, Jiwei Li, Haochuan Fan, Chao Li, Tao Guan, Jingren Zhou
2018	—	`conf`	A General and Efficient Querying Method for Learning to Hash. SIGMOD Conference Jinfeng Li, Xiao Yan, Jie Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng
2018	A*	`conf`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. ICML Kaiwen Zhou, Fanhua Shang, James Cheng
2018	J	`jnl`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. CoRR Kaiwen Zhou, Fanhua Shang, James Cheng
2018	C	`conf`	ASVRG: Accelerated Proximal SVRG. ACML Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	ASVRG: Accelerated Proximal SVRG. CoRR Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. CoRR Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	FlexPS: Flexible Parallelism Control in Parameter Server Architecture. Proc. VLDB Endow. Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng
2018	J	`jnl`	Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Trans. Fuzzy Syst. Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan
2018	A	`conf`	G-Miner: an efficient task-oriented graph mining system. EuroSys Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng
2018	J	`jnl`	GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. IEEE Trans. Parallel Distributed Syst. Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang
2018	A	`conf`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. AISTATS Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2018	J	`jnl`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. CoRR Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2018	J	`jnl`	Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). CoRR Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng
2018	A*	`conf`	Norm-Ranging LSH for Maximum Inner Product Search. NeurIPS Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng
2018	J	`jnl`	Norm-Ranging LSH for Maximum Inner Product Search. CoRR Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng
2018	A*	`conf`	Scalable De Novo Genome Assembly Using Pregel. ICDE Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
2018	J	`jnl`	Scalable De Novo Genome Assembly Using Pregel. CoRR Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
2018	J	`jnl`	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2018	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. CoRR Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao
2017	—	`conf`	Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao
2017	A*	`conf`	Accelerated Variance Reduced Stochastic ADMM. AAAI Yuanyuan Liu, Fanhua Shang, James Cheng
2017	J	`jnl`	Accelerated Variance Reduced Stochastic ADMM. CoRR Yuanyuan Liu, Fanhua Shang, James Cheng
2017	—	`conf`	Architectural implications on the performance and cost of graph analytics systems. SoCC Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore
2017	—	`conf`	Efficient Processing of Growing Temporal Graphs. DASFAA (2) Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan
2017	J	`jnl`	Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl. Inf. Syst. Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka
2017	J	`jnl`	Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo
2017	J	`jnl`	G-thinker: Big Graph Mining Made Easier and Faster. CoRR Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui
2017	J	`jnl`	LFTF: A Framework for Efficient Tensor Analytics at Scale. Proc. VLDB Endow. Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao
2017	A*	`conf`	LoSHa: A General Framework for Scalable Locality Sensitive Hashing. SIGIR Jinfeng Li, James Cheng, Fan Yang, Yuzhen Huang, Yunjian Zhao, Xiao Yan, Ruihao Zhao
2017	—	`book`	Systems for Big Graph Analytics Da Yan, Yuanyuan Tian, James Cheng
2017	—	`conf`	The Best of Both Worlds: Big Data Programming with Both Productivity and Performance. SIGMOD Conference Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng
2017	J	`jnl`	Variance Reduced Stochastic Gradient Descent with Sufficient Decrease. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2016	J	`jnl`	A General-Purpose Query-Centric Framework for Querying Big Graphs. Proc. VLDB Endow. Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016	—	`conf`	A comparison of general-purpose distributed systems for data processing. IEEE BigData Jinfeng Li, James Cheng, Yunjian Zhao, Fan Yang, Yuzhen Huang, Haipeng Chen, Ruihao Zhao
2016	—	`conf`	Big Graph Analytics Systems. SIGMOD Conference Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng
2016	J	`jnl`	Distributed Maximal Clique Computation and Management. IEEE Trans. Serv. Comput. Yanyan Xu, James Cheng, Ada Wai-Chee Fu
2016	A*	`conf`	Diversified Temporal Subgraph Pattern Mining. KDD Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui
2016	J	`jnl`	Efficient Algorithms for Temporal Path Computation. IEEE Trans. Knowl. Data Eng. Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu
2016	J	`jnl`	Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph. CoRR Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2016	J	`jnl`	Efficient Processing of Very Large Graphs in a Small Cluster. CoRR Da Yan, Yuzhen Huang, James Cheng, Huanhuan Wu
2016	B	`conf`	End-to-End Java Security Performance Enhancements for Oracle SPARC Servers. ICPE Luyang Wang, Pallab Bhattacharya, Yao-Min Chen, Shrinivas Joshi, James Cheng
2016	J	`jnl`	Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Trans. Neural Networks Learn. Syst. Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2016	J	`jnl`	Husky: Towards a More Efficient and Expressive Distributed Computing Framework. Proc. VLDB Endow. Fan Yang, Jinfeng Li, James Cheng
2016	J	`jnl`	Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing. CoRR Da Yan, James Cheng, Fan Yang
2016	J	`jnl`	Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. CoRR Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016	—	`conf`	Quegel: A General-Purpose System for Querying Big Graphs. SIGMOD Conference Qizhen Zhang, Da Yan, James Cheng
2016	A*	`conf`	Reachability and time-based path queries in temporal graphs. ICDE Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
2016	—	`conf`	SGraph: A Distributed Streaming System for Processing Big Graphs. BigCom Cheng Chen, Hejun Wu, Dyce Jing Zhao, Da Yan, James Cheng
2016	A*	`conf`	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. AAAI Fanhua Shang, Yuanyuan Liu, James Cheng
2016	J	`jnl`	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2016	A	`conf`	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. AISTATS Fanhua Shang, Yuanyuan Liu, James Cheng
2016	J	`jnl`	Unified Scalable Equivalent Formulations for Schatten Quasi-Norms. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2015	—	`conf`	Core decomposition in large temporal graphs. IEEE BigData Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu
2015	A*	`conf`	Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. WWW Da Yan, James Cheng, Yi Lu, Wilfred Ng
2015	J	`jnl`	Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. CoRR Da Yan, James Cheng, Yi Lu, Wilfred Ng
2015	J	`jnl`	Efficient location-based search of trajectories with location importance. Knowl. Inf. Syst. Da Yan, James Cheng, Zhou Zhao, Wilfred Ng
2015	J	`jnl`	Fast PageRank approximation by adaptive sampling. Knowl. Inf. Syst. Wenting Liu, Guangxia Li, James Cheng
2015	J	`jnl`	Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2015	J	`jnl`	Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2015	J	`jnl`	Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data. IEEE Trans. Cybern. Yuanyuan Liu, Fanhua Shang, Licheng Jiao, James Cheng, Hong Cheng
2014	J	`jnl`	Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs. Proc. VLDB Endow. Da Yan, James Cheng, Yi Lu, Wilfred Ng
2014	—	`conf`	Distributed Maximal Clique Computation. BigData Congress Yanyan Xu, James Cheng, Ada Wai-Chee Fu, Yingyi Bu
2014	J	`jnl`	Efficient processing of k-hop reachability queries. VLDB J. James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2014	A	`conf`	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong
2014	J	`jnl`	GBAGC: A General Bayesian Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2014	—	`conf`	Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion. NIPS Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2014	A*	`conf`	Generalized Higher-Order Tensor Decomposition via Parallel ADMM. AAAI Fanhua Shang, Yuanyuan Liu, James Cheng
2014	J	`jnl`	Generalized Higher-Order Tensor Decomposition via Parallel ADMM. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2014	J	`jnl`	Hop Doubling Label Indexing for Point-to-Point Distance Querying on Scale-Free Networks. CoRR Minhao Jiang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, James Cheng, Yanyan Xu
2014	J	`jnl`	Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation. Proc. VLDB Endow. Yi Lu, James Cheng, Da Yan, Huanhuan Wu
2014	A	`conf`	Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. UAI Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng
2014	J	`jnl`	Path Problems in Temporal Graphs. Proc. VLDB Endow. Huanhuan Wu, James Cheng, Silu Huang, Yiping Ke, Yi Lu, Yanyan Xu
2014	J	`jnl`	Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees. Proc. VLDB Endow. Da Yan, James Cheng, Kai Xing, Yi Lu, Wilfred Ng, Yingyi Bu
2014	A*	`conf`	Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. ICDM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	—	`conf`	Rectangle Counting in Large Bipartite Graphs. BigData Congress Jia Wang, Ada Wai-Chee Fu, James Cheng
2014	A	`conf`	Robust Principal Component Analysis with Missing Data. CIKM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	A	`conf`	SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing. CIKM Zhou Zhao, James Cheng, Furu Wei, Ming Zhou, Wilfred Ng, Yingjun Wu
2014	J	`jnl`	Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2014	J	`jnl`	Temporal Graph Traversals: Definitions, Algorithms, and Applications. CoRR Silu Huang, James Cheng, Huanhuan Wu
2014	J	`jnl`	Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media. CoRR Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman
2014	—	`conf`	Tripartite graph clustering for dynamic sentiment analysis on social media. SIGMOD Conference Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman
2014	A	`conf`	Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach. CIKM Zhou Zhao, James Cheng, Wilfred Ng
2013	A*	`conf`	Finding distance-preserving subgraphs in large road networks. ICDE Da Yan, James Cheng, Wilfred Ng, Steven Liu
2013	J	`jnl`	IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying. Proc. VLDB Endow. Ada Wai-Chee Fu, Huanhuan Wu, James Cheng, Raymond Chi-Wing Wong
2013	A*	`conf`	Redundancy-aware maximal cliques. KDD Jia Wang, James Cheng, Ada Wai-Chee Fu
2013	—	`conf`	TF-Label: a topological-folding labeling scheme for reachability querying in a large graph. SIGMOD Conference James Cheng, Silu Huang, Huanhuan Wu, Ada Wai-Chee Fu
2012	—	`conf`	A model-based approach to attributed graph clustering. SIGMOD Conference Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2012	A	`conf`	Efficient algorithms for generalized subgraph query processing. CIKM Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick
2012	—	`conf`	Efficient processing of distance queries in large graphs: a vertex cover approach. SIGMOD Conference James Cheng, Yiping Ke, Shumo Chu, Carter Cheng
2012	A*	`conf`	Fast algorithms for maximal clique enumeration with limited memory. KDD James Cheng, Linhong Zhu, Yiping Ke, Shumo Chu
2012	J	`jnl`	IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs CoRR Ada Wai-Chee Fu, Huanhuan Wu, James Cheng, Shumo Chu, Raymond Chi-Wing Wong
2012	J	`jnl`	K-Reach: Who is in Your Small World CoRR James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2012	J	`jnl`	K-Reach: Who is in Your Small World. Proc. VLDB Endow. James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2012	J	`jnl`	Triangle listing in massive networks. ACM Trans. Knowl. Discov. Data Shumo Chu, James Cheng
2012	J	`jnl`	Truss Decomposition in Massive Networks CoRR Jia Wang, James Cheng
2012	J	`jnl`	Truss Decomposition in Massive Networks. Proc. VLDB Endow. Jia Wang, James Cheng
2011	A*	`conf`	Efficient core decomposition in massive networks. ICDE James Cheng, Yiping Ke, Shumo Chu, M. Tamer Özsu
2011	J	`jnl`	Fast graph query processing with a low-cost index. VLDB J. James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu
2011	J	`jnl`	Finding maximal cliques in massive networks. ACM Trans. Database Syst. James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu
2011	J	`jnl`	Structure and attribute index for approximate graph matching in large graphs. Inf. Syst. Linhong Zhu, Wee Keong Ng, James Cheng
2011	A*	`conf`	Triangle listing in massive networks and its applications. KDD Shumo Chu, James Cheng
2010	—	`conf`	Finding maximal cliques in massive networks by H*-graph. SIGMOD Conference James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu
2010	—	`conf`	GBLENDER: towards blending visual query formulation and query processing in graph databases. SIGMOD Conference Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, Byron Choi
2010	—	`conf`	K-isomorphism: privacy preserving network publication against structural attacks. SIGMOD Conference James Cheng, Ada Wai-Chee Fu, Jia Liu
2010	—	`conf`	Querying Large Graph Databases. DASFAA (2) Yiping Ke, James Cheng, Jeffrey Xu Yu
2009	A*	`conf`	Context-Aware Object Connection Discovery in Large Graphs. ICDE James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu
2009	A*	`conf`	Efficient Discovery of Frequent Correlated Subgraph Pairs. ICDM Yiping Ke, James Cheng, Jeffrey Xu Yu
2009	A	`conf`	Efficient processing of group-oriented connection queries in a large graph. CIKM James Cheng, Yiping Ke, Wilfred Ng
2009	J	`jnl`	Efficient query processing on graph databases. ACM Trans. Database Syst. James Cheng, Yiping Ke, Wilfred Ng
2009	A	`conf`	Top-k Correlative Graph Mining. SDM Yiping Ke, James Cheng, Jeffrey Xu Yu
2008	J	`jnl`	A survey on algorithms for mining frequent itemsets over data streams. Knowl. Inf. Syst. James Cheng, Yiping Ke, Wilfred Ng
2008	J	`jnl`	An information-theoretic approach to quantitative association rule mining. Knowl. Inf. Syst. Yiping Ke, James Cheng, Wilfred Ng
2008	J	`jnl`	Correlated pattern mining in quantitative databases. ACM Trans. Database Syst. Yiping Ke, James Cheng, Wilfred Ng
2008	J	`jnl`	Effective elimination of redundant association rules. Data Min. Knowl. Discov. James Cheng, Yiping Ke, Wilfred Ng
2008	J	`jnl`	Efficient Correlation Search from Graph Databases. IEEE Trans. Knowl. Data Eng. Yiping Ke, James Cheng, Wilfred Ng
2008	J	`jnl`	Maintaining frequent closed itemsets over a sliding window. J. Intell. Inf. Syst. James Cheng, Yiping Ke, Wilfred Ng
2007	B	`conf`	A Development of Hash-Lookup Trees to Support Querying Streaming XML. DASFAA James Cheng, Wilfred Ng
2007	B	`conf`	An Efficient Index Lattice for XML Query Evaluation. DASFAA Wilfred Ng, James Cheng
2007	A*	`conf`	Correlation search in graph databases. KDD Yiping Ke, James Cheng, Wilfred Ng
2007	—	`conf`	Fg-index: towards verification-free query processing on graph databases. SIGMOD Conference James Cheng, Yiping Ke, Wilfred Ng, An Lu
2007	B	`conf`	Mining Vague Association Rules. DASFAA An Lu, Yiping Ke, James Cheng, Wilfred Ng
2006	A	`conf`	An Efficient Approach to Support Querying Secure Outsourced XML Information. CAiSE Yin Yang, Wilfred Ng, Ho Lam Lau, James Cheng
2006	J	`jnl`	Comparative Analysis of XML Compression Technologies. World Wide Web Wilfred Ng, Wai Yeung Lam, James Cheng
2006	A*	`conf`	MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. ICDE Yiping Ke, James Cheng, Wilfred Ng
2006	B	`conf`	Maintaining Frequent Itemsets over High-Speed Data Streams. PAKDD James Cheng, Yiping Ke, Wilfred Ng
2006	A*	`conf`	Mining quantitative correlated patterns using an information-theoretic approach. KDD Yiping Ke, James Cheng, Wilfred Ng
2006	A*	`conf`	delta-Tolerance Closed Frequent Itemsets. ICDM James Cheng, Yiping Ke, Wilfred Ng
2004	B	`conf`	XQzip: Querying Compressed XML Using Structural Indexing. EDBT James Cheng, Wilfred Ng