| 2026 | ACL | FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation. | Zhihao Ding, Jinming Li, Ze Lu, Jieming Shi |
| 2025 | AAAI | RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. | Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang |
| 2025 | AAAI | GraSP: Simple Yet Effective Graph Similarity Predictions. | Haoran Zheng, Jieming Shi, Renchi Yang |
| 2025 | ICDE | Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding. | Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li |
| 2025 | ICDE | Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching. | Wei Tian, Jieming Shi, Man Lung Yiu |
| 2025 | ICML | TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. | Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen |
| 2024 | CIKM | Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs. | Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao |
| 2024 | CIKM | SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. | Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong |
| 2024 | DASFAA | Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph. | Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li |
| 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 | IGARSS | An Improved Music Algorithm Based on One-Bit Datas : One-Bit MMUSIC. | Yanliang Xiong, Jieming Shi, Huiyong Li, Ziyang Cheng |
| 2024 | KDD | Effective Clustering on Large Attributed Bipartite Graphs. | Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi |
| 2023 | DaWaK | Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. | Hewen Wang, Renchi Yang, Jieming Shi |
| 2023 | ICDE | Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). | Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi |
| 2023 | ICDE | Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. | Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi |
| 2023 | ICML | SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. | Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li |
| 2022 | ICDE | Example-based Spatial Search at Scale. | Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun |
| 2022 | MDM | Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. | Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu |
| 2022 | SIGMOD | Scalable and Effective Bipartite Network Embedding. | Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao |
| 2021 | DASFAA | Top-k Closest Pair Queries over Spatial Knowledge Graph. | Fangwei Wu, Xike Xie, Jieming Shi |
| 2021 | ICML | MOTS: Minimax Optimal Thompson Sampling. | Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu |
| 2021 | WWW | Effective and Scalable Clustering on Massive Attributed Graphs. | Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao |
| 2016 | SIGMOD | Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. | Jieming Shi, Dingming Wu, Nikos Mamoulis |
| 2014 | SIGMOD | Density-based place clustering in geo-social networks. | Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung |