Density-based place clustering in geo-social networks. - Jieming Shi 001; Nikos Mamoulis; Dingming Wu 001; David W. Cheung (SIGMOD Conference, 2014)

Clustering in Geo-Social Networks. - Dingming Wu 001; Nikos Mamoulis; Jieming Shi 001 (IEEE Data Eng. Bull., 2015)

Queries and analysis tasks on semantically rich spatial data. - Jieming Shi 001 (2015)

Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. - Jieming Shi 001; Dingming Wu 001; Nikos Mamoulis (SIGMOD Conference, 2016)

Textually Relevant Spatial Skylines. - Jieming Shi 001; Dingming Wu 001; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2016)

Density-Based Place Clustering Using Geo-Social Network Data. - Dingming Wu 001; Jieming Shi 001; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2018)

Efficient Pure Exploration in Adaptive Round model. - Tianyuan Jin; Jieming Shi 001; Xiaokui Xiao; Enhong Chen (NeurIPS, 2019)

Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. - Renchi Yang; Jieming Shi 001; Xiaokui Xiao; Sourav S. Bhowmick; Yin Yang 001 (CoRR, 2019)

Realtime Top-k Personalized PageRank over Large Graphs on GPUs. - Jieming Shi 001; Renchi Yang; Tianyuan Jin; Xiaokui Xiao; Yin Yang 001 (Proc. VLDB Endow., 2019)

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. - Jieming Shi 001; Tianyuan Jin; Renchi Yang; Xiaokui Xiao; Yin Yang 001 (Proc. VLDB Endow., 2020)

Scaling Attributed Network Embedding to Massive Graphs. - Renchi Yang; Jieming Shi 001; Xiaokui Xiao; Yin Yang 001; Juncheng Liu; Sourav S. Bhowmick (Proc. VLDB Endow., 2020)

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. - Renchi Yang; Jieming Shi 001; Xiaokui Xiao; Yin Yang 001; Sourav S. Bhowmick (Proc. VLDB Endow., 2020)

Top-k relevant semantic place retrieval on spatiotemporal RDF data. - Dingming Wu 001; Hao Zhou; Jieming Shi 001; Nikos Mamoulis (VLDB J., 2020)

Top-k Closest Pair Queries over Spatial Knowledge Graph. - Fangwei Wu; Xike Xie; Jieming Shi 001 (DASFAA (1), 2021)

MOTS: Minimax Optimal Thompson Sampling. - Tianyuan Jin; Pan Xu 002; Jieming Shi 001; Xiaokui Xiao; Quanquan Gu (ICML, 2021)

Effective and Scalable Clustering on Massive Attributed Graphs. - Renchi Yang; Jieming Shi 001; Yin Yang 001; Keke Huang; Shiqi Zhang 004; Xiaokui Xiao (WWW, 2021)

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. - Tianyuan Jin; Yu Yang 001; Renchi Yang; Jieming Shi 001; Keke Huang; Xiaokui Xiao (Proc. VLDB Endow., 2021)

Example-based Spatial Search at Scale. - Hanyuan Zhang; Siqiang Luo; Jieming Shi 001; Jing Nathan Yan; Weiwei Sun 008 (ICDE, 2022)

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. - Zequan Xu; Siqiang Luo; Jieming Shi 001; Hui Li 057; Chen Lin 001; Qihang Sun; Shaofeng Hu (MDM, 2022)

Scalable and Effective Bipartite Network Embedding. - Renchi Yang; Jieming Shi 001; Keke Huang; Xiaokui Xiao (SIGMOD Conference, 2022)

No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. - Renchi Yang; Jieming Shi 001; Xiaokui Xiao; Yin Yang 001; Sourav S. Bhowmick; Juncheng Liu (SIGMOD Rec., 2022)

Multi-Task Learning for Recommendation Over Heterogeneous Information Network. - Hui Li 057; Yanlin Wang 001; Ziyu Lyu; Jieming Shi 001 (IEEE Trans. Knowl. Data Eng., 2022)

Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. - Hewen Wang; Renchi Yang; Jieming Shi 001 (DaWaK, 2023)

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). - Hui Li 057; Yanlin Wang 001; Ziyu Lyu; Jieming Shi 001 (ICDE, 2023)

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. - Qianru Zhang; Zheng Wang 046; Cheng Long 001; Chao Huang 001; Siu-Ming Yiu; Yiding Liu; Gao Cong; Jieming Shi 001 (ICDE, 2023)

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. - Ziang Zhou; Jieming Shi 001; Renchi Yang; Yuanhang Zou; Qing Li 001 (ICML, 2023)

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. - Ningyi Liao; Siqiang Luo; Xiang Li 067; Jieming Shi 001 (NeurIPS, 2023)

Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks. - Zhihao Ding; Jieming Shi 001; Qing Li 001; Jiannong Cao 001 (CoRR, 2023)

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. - Zhihao Ding; Jieming Shi 001 (CoRR, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

Effective stabilized self-training on few-labeled graph data. - Ziang Zhou; Jieming Shi 001; Shengzhong Zhang; Zengfeng Huang; Qing Li 001 (Inf. Sci., 2023)

Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation. - Yiran Li 004; Renchi Yang; Jieming Shi 001 (Proc. ACM Manag. Data, 2023)

Effective and Efficient Route Planning Using Historical Trajectories on Road Networks. - Wei Tian; Jieming Shi 001; Siqiang Luo; Hui Li 057; Xike Xie; Yuanhang Zou (Proc. VLDB Endow., 2023)

EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data. - Yuanhang Zou; Zhihao Ding; Jieming Shi 001; Shuting Guo; Chunchen Su; Yafei Zhang (Proc. VLDB Endow., 2023)

Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition. - Junyi Wu 001; Yan Huang 023; Min Gao; Zhipeng Gao; Jianqiang Zhao; Jieming Shi 001; Anguo Zhang (IEEE Trans. Inf. Forensics Secur., 2023)

PANE: scalable and effective attributed network embedding. - Renchi Yang; Jieming Shi 001; Xiaokui Xiao; Yin Yang 001; Sourav S. Bhowmick; Juncheng Liu (VLDB J., 2023)

Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs. - Zhihao Ding; Jieming Shi 001; Qing Li 001; Jiannong Cao 001 (CIKM, 2024)

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. - Zhihao Ding; Jieming Shi 001; Shiqi Shen; Xuequn Shang 001; Jiannong Cao 001; Zhipeng Wang; Zhi Gong (CIKM, 2024)

Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph. - Zequan Xu; Qihang Sun; Shaofeng Hu; Jieming Shi 001; Hui Li 057 (DASFAA (7), 2024)

BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. - Jie Liu; Mengting He; Xuequn Shang 001; Jieming Shi 001; Bin Cui 001; Hongzhi Yin (ICDE, 2024)

Effective Clustering on Large Attributed Bipartite Graphs. - Renchi Yang; Yidu Wu; Xiaoyang Lin; Qichen Wang 001; Tsz Nam Chan; Jieming Shi 001 (KDD, 2024)

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network. - Ziang Zhou; Jieming Shi 001; Renchi Yang; Yuanhang Zou; Qing Li 001 (CoRR, 2024)

GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. - Ziang Zhou; Zhihao Ding; Jieming Shi 001; Qing Li 001; Shiqi Shen (CoRR, 2024)

Efficient High-Quality Clustering for Large Bipartite Graphs. - Renchi Yang; Jieming Shi 001 (Proc. ACM Manag. Data, 2024)

Minimum Strongly Connected Subgraph Collection in Dynamic Graphs. - Xin Chen 077; Jieming Shi 001; You Peng; Wenqing Lin; Sibo Wang 001; Wenjie Zhang 001 (Proc. VLDB Endow., 2024)

A versatile framework for attributed network clustering via K-nearest neighbor augmentation. - Yiran Li 004; Gongyao Guo; Jieming Shi 001; Renchi Yang; Shiqi Shen; Qing Li 001; Jun Luo (VLDB J., 2024)

Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity. - Anguo Zhang; Jieming Shi 001; Junyi Wu 001; Yongcheng Zhou; Wei Yu 027 (IEEE Trans. Neural Networks Learn. Syst., 2024)

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. - Zhihao Ding; Ting Zhang; Yiran Li 004; Jieming Shi 001; Chen Jason Zhang (AAAI, 2025)

GraSP: Simple Yet Effective Graph Similarity Predictions. - Haoran Zheng; Jieming Shi 001; Renchi Yang (AAAI, 2025)

Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding. - Yiran Li 004; Gongyao Guo; Jieming Shi 001; Sibo Wang 001; Qing Li 001 (ICDE, 2025)

Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning. - Xianglin Yang; Gelei Deng; Jieming Shi 001; Tianwei Zhang 004; Jin Song Dong (CoRR, 2025)

G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition. - Yicong Dong; Rundong He; Guangyao Chen; Wentao Zhang; Zhongyi Han; Jieming Shi 001; Yilong Yin (CoRR, 2025)

Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework. - Ziang Zhou; Tianyuan Jin; Jieming Shi 001; Qing Li 001 (CoRR, 2025)

DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter. - Mengxu Jiang; Zhi Yang; Fangyuan Zhang; Guanhao Hou; Jieming Shi 001; Wenchao Zhou; Feifei Li 001; Sibo Wang 001 (Proc. ACM Manag. Data, 2025)

Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search. - Fangyuan Zhang; Mengxu Jiang; Guanhao Hou; Jieming Shi 001; Hua Fan 002; Wenchao Zhou; Feifei Li 001; Sibo Wang 001 (Proc. ACM Manag. Data, 2025)