| 2026 | ICDE | Robust Spatial-Temporal Similar Trajectory Search via Structure-Enhanced Domain-Invariant Learning. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Lingyun Song, Xinbiao Gan, Xuequn Shang |
| 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 | WWW | Mamba Hawkes Process for Event Sequence Modeling. | Shan Dai, Yuyang Shen, Yuyang Liang, Chenhao Ma, Anningzhe Gao |
| 2025 | ACL | Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning. | Nan Huo, Jinyang Li, Bowen Qin, Ge Qu, Xiaolong Li, Xiaodong Li, Chenhao Ma, Reynold Cheng |
| 2025 | ACL | SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL. | Ge Qu, Jinyang Li, Bowen Qin, Xiaolong Li, Nan Huo, Chenhao Ma, Reynold Cheng |
| 2025 | CIKM | STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Fang Li, Xuequn Shang |
| 2025 | DAC | NVR: Vector Runahead on NPUs for Sparse Memory Access. | Hui Wang, Zhengpeng Zhao, Jing Wang, Yushu Du, Yuan Cheng, Bing Guo, He Xiao, Chenhao Ma, Xiaomeng Han, Dean You, Jiapeng Guan, Ran Wei, Dawei Yang, Zhe Jiang |
| 2025 | DASFAA | STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories. | Xiaolin Han, Songliang Bai, Gaukhar Issayeva, Chenhao Ma, Fang Li, Xuequn Shang |
| 2025 | DASFAA | RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | ICDE | Efficient Structural Clustering Over Hypergraphs. | Dong Pan, Xu Zhou, Lingwei Li, Quanqing Xu, Chuanhui Yang, Chenhao Ma, Kenli Li |
| 2025 | ICDM | STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery. | Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | ICML | Are Large Language Models Ready for Multi-Turn Tabular Data Analysis? | Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Bowen Qin, Yurong Wu, Xiaodong Li, Chenhao Ma, Jian-Guang Lou, Reynold Cheng |
| 2025 | KDD | TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang |
| 2025 | KDD | UnG-MoCha: Neural Motif Counting in Uncertain Graphs. | Lujie Ban, Xiaolin Han, Jinyang Li, Chenhao Ma |
| 2025 | KDD | MoDiff - Graph Generation with Motif-aware Diffusion Model. | Yuwei Xu, Chenhao Ma |
| 2025 | WWW | ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph. | Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang |
| 2025 | WWW | TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. | Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma |
| 2025 | WWW | CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. | Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo |
| 2025 | SIGIR | UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. | Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma |
| 2025 | SIGMOD | SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search. | Zixin Wei, Jun Han, Xiaolin Han, Chenhao Ma |
| 2024 | AAAI | Influential Exemplar Replay for Incremental Learning in Recommender Systems. | Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King |
| 2024 | ACL | Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation. | Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng |
| 2024 | CIKM | Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. | Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu |
| 2024 | ICDE | Efficient Core Decomposition Over Large Heterogeneous Information Networks. | Yucan Guo, Chenhao Ma, Yixiang Fang |
| 2024 | KDD | Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. | Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma |
| 2024 | WWW | A Similarity-based Approach for Efficient Large Quasi-clique Detection. | Jiayang Pang, Chenhao Ma, Yixiang Fang |
| 2024 | SIGMOD | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Temporal JSON Keyword Search'. | Chenhao Ma, Junchang Wang, Curtis E. Dyreson, Amani M. Shatnawi, Sourav S. Bhowmick, Vishal Sharma |
| 2023 | AAAI | Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. | Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li |
| 2023 | ICDE | Scalable Algorithms for Densest Subgraph Discovery. | Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou |
| 2022 | IGARSS | An Improved Method for Removal of Thin Clouds in Remote Sensing Images by Generative Adversarial Network. | Chengyao Zhang, Xuqing Zhang, Qunfei Yu, Chenhao Ma |
| 2022 | SIGMOD | A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han |
| 2022 | SDM | Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. | Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li |
| 2020 | SIGMOD | Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin |