# Corresponding author · * Co-first author

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  1. Range-Filtering Approximate Nearest Neighbor Search via First-Split Range Decomposition and Suffix-Prefix Indexing

    Yufan Xiang*, Junyao Wang*, Chen Feng, Jieming Shi

    ICDE 2027. IEEE International Conference on Data Engineering, 2027. Accepted, to appear

  2. UNITE: A Unified Framework for Accurate and Efficient Origin-Destination and Route Travel Time Estimation

    Wei Tian, Jieming Shi#, Man Lung Yiu

    KDD 2026. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026

  3. Efficient Approximation Algorithms for Adaptive Minimum Cost Seed Selection via mRR-set Updates

    Chen Feng, Gongyao Guo, Yiran Li, Jieming Shi#, Sibo Wang

    KDD 2026. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026

  4. FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation

    Zhihao Ding, Jinming Li, Ze Lu, Jieming Shi#

    ACL 2026. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Long paper), 2026

  5. Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation

    Zhihao Ding, Jinming Li, Shuai Mu, Jieming Shi#

    ICLR 2026. International Conference on Learning Representations, 2026

  6. Prior-free Tabular Test-time Adaptation

    Rundong He, Jieming Shi#

    ICLR 2026. International Conference on Learning Representations, 2026

  7. FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting

    Huiqiang Wang, Jieming Shi#, Qing Li

    ICLR 2026. International Conference on Learning Representations, 2026

  8. SteerConf: Steering LLMs for Confidence Elicitation

    Ziang Zhou, Tianyuan Jin, Jieming Shi#, Qing Li

    NeurIPS 2025. Advances in Neural Information Processing Systems 38, 2025

  9. Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding

    Yiran Li, Gongyao Guo, Jieming Shi#, Sibo Wang, Qing Li

    ICDE 2025. IEEE International Conference on Data Engineering, May 2025, Pages: 3863-3875

  10. Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching

    Wei Tian, Jieming Shi#, Man Lung Yiu

    ICDE 2025. IEEE International Conference on Data Engineering, May 2025, Pages 363-375

  11. TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

    Ziang Zhou, Zhihao Ding, Jieming Shi#, Qing Li, Shiqi Shen

    ICML 2025. Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78616–78632, July 2025

  12. GraSP: Simple yet Effective Graph Similarity Predictions

    Haoran Zheng, Jieming Shi#, Renchi Yang

    AAAI 2025. Proceedings of the AAAI Conference on Artificial Intelligence, 39(21), 22884-22892 · Paper

  13. RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

    Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang

    AAAI 2025. Proceedings of the AAAI Conference on Artificial Intelligence, 39(1), 155-163. (Oral) · Paper

  14. SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection

    Zhihao Ding, Jieming Shi#, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong

    CIKM 2024. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, Pages 467 - 476 · Paper

  15. Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

    Zhihao Ding, Jieming Shi#, Qing Li and Jiannong Cao

    CIKM 2024. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, Pages 457 - 466 · Paper

  16. BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

    Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin

    ICDE 2024. Proceedings of the IEEE International Conference on Data Engineering (ICDE), Utrecht Netherlands, May 2024, Pages: 2820-2833 · Paper

  17. Effective Clustering on Large Attributed Bipartite Graphs

    Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi

    KDD 2024. Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), Barcelona, Spain, August 2024, Pages 3782 - 3793 · Paper

  18. Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph

    Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, and Hui Li

    DASFAA 2024. Database Systems for Advanced Applications (DASFAA) 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII. Springer-Verlag, Berlin, Heidelberg, 327–339

  19. LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings

    Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi

    NeurIPS 2023. Advances in Neural Information Processing Systems, New Orleans, USA, Dec 2023, Article 446, 10197–10209

  20. SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

    Ziang Zhou, Jieming Shi#, Renchi Yang, Yuanhang Zou, Qing Li

    ICML 2023. Proceedings of the 40th International Conference on Machine Learning, Hawaii, USA, July 2023, Pages 42644 - 42657 · Paper · Code

  21. Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning

    Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, S.M. Yiu, Yiding Liu, Gao Cong, Jieming Shi

    ICDE 2023. Proceedings of the IEEE International Conference on Data Engineering, Anaheim, USA, April 2023, Pages 246–258

  22. Scalable and Effective Bipartite Network Embedding

    Renchi Yang, Jieming Shi, Keke Huang, and Xiaokui Xiao

    SIGMOD 2022. Proceedings of the ACM International Conference on Management of Data, 1977-1991, Philadelphia, USA, June 2022 · Paper

  23. Example-based Spatial Search at Scale

    Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun

    ICDE 2022. IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022, Pages: 539-551

  24. 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

    MDM 2022. IEEE International Conference on Mobile Data Management (MDM), Paphos, Cyprus, 2022, pp. 238-245

  25. Effective and Scalable Clustering on Massive Attributed Graphs

    Renchi Yang, Jieming Shi#, Yin Yang, Keke Huang, Shiqi Zhang and Xiaokui Xiao

    WWW 2021. Proceedings of The Web Conference (WWW), Ljubljana, Slovenia, April 2021, Pages 3675 - 3687 · Paper

  26. MOTS: Minimax Optimal Thompson Sampling

    Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, and Quanquan Gu

    ICML 2021. Proceedings of the International Conference on Machine Learning, Virtual only, July 2021, PMLR 139:5074-5083

  27. Top-k Closest Pair Queries over Spatial Knowledge Graph

    Fangwei Wu, Xike Xie and Jieming Shi

    DASFAA 2021. Proceedings of Database Systems for Advanced Applications, Taipei, April 2021, Pages 625 - 640

  28. Efficient Pure Exploration in Adaptive Round model

    Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen

    NeurIPS 2019. Proceedings of the 33rd International Conference on Neural Information Processing Systems (NeurIPS), 2019. Curran Associates Inc., Red Hook, NY, USA, Article 593, 6609–6618

  29. Top-k Relevant Semantic Place Retrieval on Spatial RDF Data

    Jieming Shi, Dingming Wu, Nikos Mamoulis

    SIGMOD 2016. Proceedings of the ACM International Conference on Management of Data, 1977–1990, San Francisco, USA, June 2016

  30. Density-based place clustering in geo-social networks

    Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung

    SIGMOD 2014. Proceedings of the ACM International Conference on Management of Data, 99-110, June 2014