James Cheng
Professor
Builds distributed systems for big data and machine learning, such as the Husky computing system and the FlexPS parameter server.
James Cheng's lab at CUHK works on distributed, cloud & edge systems and data management & big data. 54 papers since 2023, 24 at top venues, mostly NeurIPS and ICLR. 23 alumni, most often to Meta. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 44%
- PhD students
- —
- MS students
- —
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 22 papers2026 · T1 7 · collecting
- 11 papers2025 · T1 6
- 12 papers2024 · T1 7
- 9 papers2023 · T1 4
T1 venuesOtherVenues: NeurIPS, ICLR, ICML, TMLR, AAAI
Research focuspaper titles that use each topic's words
- Data management & big data5 papers
- Distributed, cloud & edge systems3 papers
- computing system0 papers
- distributed systems0 papers
- big0 papers
Paper list
From the lab homepage.
202622 papers
- Findings of the Conference on Empirical Methods in Natural Language ProcessingAPeB: Benchmarking Personalization Ability of Large Language Model Agents (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study (opens in a new tab)
- NeurIPS (T1)CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA (opens in a new tab)
- JMLR (T1)Discovering and Reasoning of Causality in the Hidden World with Large Language Models (opens in a new tab)
- Proceedings of the USENIX Symposium on Network Systems Design and ImplementationDistVS: Large-scale Vector Search with Compute-Memory Disaggregation (opens in a new tab)
- Proceedings of the Conference On Language ModelingExploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???GPS: Revisiting the Data Layout for Disk-based High-Dimensional Vector Search (opens in a new tab)
- ICML (T1)Hista and Numca: Estimate State Value Effectively for Large Language Model Reinforcement Learning (opens in a new tab)
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data MiningHitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering (opens in a new tab)
- ICML (T1)On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents (opens in a new tab)
202511 papers
- NeurIPS (T1)A Signed Graph Approach to Understanding and Mitigating Oversmoothing (opens in a new tab)
- Proceedings of the ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel ProgrammingAdaptive Parallel Training for Graph Neural Networks (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching (opens in a new tab)
- ICLR (T1)BrainOOD: Out-of-distribution Generalizable Brain Network Analysis (opens in a new tab)
- Proc. of the ACM on Management of Data, Volume ???, Issue ???, Article No. ???CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models (opens in a new tab)
- TMLR (T1)DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization (opens in a new tab)
- ICML (T1)Hierarchical Graph Tokenization for Molecule-Language Alignment (opens in a new tab)
- ACM MMMESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models (opens in a new tab)
- EMNLP (T1)Retrieval-Augmented Generation with Hierarchical Knowledge (opens in a new tab)
- SDMSystems for Scalable Graph Analytics and Machine Learning: Trends and Methods (opens in a new tab)
- NeurIPS (T1)Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models (opens in a new tab)
202412 papers
- WWW (T1)Detecting and Understanding Self-Deleting JavaScript Code (opens in a new tab)
- Public Library of Science, 19(3):e0299295Development of a multi-wear-site, deep learning-based physical activity intensity classification algorithm using raw acceleration data (opens in a new tab)
- NeurIPS (T1)Discovery of the Hidden World with Large Language Models (opens in a new tab)
- Machine LearningEfficient Private SCO for Heavy-Tailed Data via Averaged Clipping (opens in a new tab)
- AAAI (T1)Enhancing Evolving Domain Generalization through Dynamic Latent Representations (opens in a new tab)
- ICLR (T1)Enhancing Neural Subset Selection: Integrating Background Information into Set Representations (opens in a new tab)
- Proc. of the ACM on Management of DataGE2: A General and Efficient Knowledge Graph Embedding Learning System (opens in a new tab)
- NeurIPS (T1)HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection (opens in a new tab)
- ICML (T1)How Interpretable Are Interpretable Graph Neural Networks? (opens in a new tab)
- Parallel ComputingPPS: Fair and Efficient Black-Box Scheduling for Multi-Tenant GPU Clusters (opens in a new tab)
- Neural NetworksSolving the Non-Submodular Network Collapse Problems via Decision Transformer (opens in a new tab)
- ICDE (T1)Wings: Efficient Online Multiple Graph Pattern Matching (opens in a new tab)
20239 papers
- TMLR (T1)Calibrating and Improving Graph Contrastive Learning (opens in a new tab)
- Proc. of the ACM on Management of DataCircinus: Fast Redundancy-Reduced Subgraph Matching (opens in a new tab)
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data MiningDGI: An Easy and Efficient Framework for GNN Model Evaluation (opens in a new tab)
- NeurIPS (T1)Does Invariant Graph Learning via Environment Augmentation Learn Invariance? (opens in a new tab)
- PPoPPDSP: Efficient GNN Training with Multiple GPUs (opens in a new tab)
- Proc. of the ACM on Management of DataFEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication (opens in a new tab)
- GRADES-NDA@SIGMOD, . (SIGMOD ) [Keynote]Graph Feature Management: Impact, Challenges and Opportunities (opens in a new tab)
- ICLR (T1)Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization (opens in a new tab)
- NeurIPS (T1)Understanding and Improving Feature Learning for Out-of-Distribution Generalization (opens in a new tab)
Where alumni went23 listed, 11% to industry
Industry 1Academia 8
Most often to
- Meta
Also to
- UIUC
- CUHK
- ETH Zurich
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
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