Jieming Shi

76 papers A* 15A 2B 2Journal 51Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Algorithms for Budgeted Profit Maximization With Theoretical Guarantees.
IEEE Trans. Knowl. Data Eng.
Qintian Guo, Chen Feng, Jieming Shi, Jing Tang, Xiaofang Zhou, Sibo Wang
2026 J jnl
Efficient and Effective Table-Centric Table Union Search in Data Lakes.
CoRR
Yongkang Sun, Zhihao Ding, Huiqiang Wang, Reynold Cheng, Jieming Shi
2026 J jnl
SA-Diff: Semantic-Aware graph outlier generation via diffusion models for graph out-of-Distribution detection.
Knowl. Based Syst.
Yicong Dong, Rundong He, Zhongyi Han, Jieming Shi, Yilong Yin
2025 J jnl
Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework.
CoRR
Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li
2025 J jnl
DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter.
Proc. ACM Manag. Data
Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Guanhao Hou, Jieming Shi, Wenchao Zhou, Feifei Li, Sibo Wang
2025 J jnl
Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data
Fangyuan Zhang, Mengxu Jiang, Guanhao Hou, Jieming Shi, Hua Fan, Wenchao Zhou, Feifei Li, Sibo Wang
2025 A* conf
Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding.
ICDE
Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li
2025 J jnl
Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding.
CoRR
Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li
2025 A* conf
Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching.
ICDE
Wei Tian, Jieming Shi, Man Lung Yiu
2025 J jnl
Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching.
CoRR
Wei Tian, Jieming Shi, Man Lung Yiu
2025 J jnl
Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning.
CoRR
Xianglin Yang, Gelei Deng, Jieming Shi, Tianwei Zhang, Jin Song Dong
2025 J jnl
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition.
CoRR
Yicong Dong, Rundong He, Guangyao Chen, Wentao Zhang, Zhongyi Han, Jieming Shi, Yilong Yin
2025 A* conf
GraSP: Simple Yet Effective Graph Similarity Predictions.
AAAI
Haoran Zheng, Jieming Shi, Renchi Yang
2025 J jnl
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations.
CoRR
Zhihao Ding, Yongkang Sun, Jieming Shi
2025 J jnl
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations.
Proc. ACM Manag. Data
Zhihao Ding, Yongkang Sun, Jieming Shi
2025 A* conf
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction.
AAAI
Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang
2025 A* conf
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation.
ICML
Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen
2024 J jnl
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation.
CoRR
Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo
2024 J jnl
A versatile framework for attributed network clustering via K-nearest neighbor augmentation.
VLDB J.
Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo
2024 A* conf
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
ICDE
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2024 — conf
Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph.
DASFAA (7)
Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li
2024 A* conf
Effective Clustering on Large Attributed Bipartite Graphs.
KDD
Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024 J jnl
Effective Clustering on Large Attributed Bipartite Graphs.
CoRR
Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi
2024 A conf
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs.
CIKM
Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao
2024 J jnl
Efficient High-Quality Clustering for Large Bipartite Graphs.
Proc. ACM Manag. Data
Renchi Yang, Jieming Shi
2024 J jnl
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation.
CoRR
Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen
2024 J jnl
GraSP: Simple yet Effective Graph Similarity Predictions.
CoRR
Haoran Zheng, Jieming Shi, Renchi Yang
2024 J jnl
Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.
IEEE Trans. Neural Networks Learn. Syst.
Anguo Zhang, Jieming Shi, Junyi Wu, Yongcheng Zhou, Wei Yu
2024 J jnl
Minimum Strongly Connected Subgraph Collection in Dynamic Graphs.
Proc. VLDB Endow.
Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang
2024 J jnl
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction.
CoRR
Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang
2024 A conf
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
CIKM
Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong
2024 J jnl
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network.
CoRR
Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
2023 J jnl
A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull.
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
2023 B conf
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations.
DaWaK
Hewen Wang, Renchi Yang, Jieming Shi
2023 J jnl
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection.
CoRR
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2023 J jnl
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph.
CoRR
Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li
2023 J jnl
Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks.
CoRR
Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao
2023 J jnl
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow.
Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou
2023 J jnl
Effective stabilized self-training on few-labeled graph data.
Inf. Sci.
Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li
2023 J jnl
Efficient High-Quality Clustering for Large Bipartite Graphs.
CoRR
Renchi Yang, Jieming Shi
2023 J jnl
Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation.
Proc. ACM Manag. Data
Yiran Li, Renchi Yang, Jieming Shi
2023 J jnl
EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data.
Proc. VLDB Endow.
Yuanhang Zou, Zhihao Ding, Jieming Shi, Shuting Guo, Chunchen Su, Yafei Zhang
2023 J jnl
Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition.
IEEE Trans. Inf. Forensics Secur.
Junyi Wu, Yan Huang, Min Gao, Zhipeng Gao, Jianqiang Zhao, Jieming Shi, Anguo Zhang
2023 A* conf
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
NeurIPS
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
2023 A* conf
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).
ICDE
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
2023 A* conf
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
ICDE
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2023 J jnl
PANE: scalable and effective attributed network embedding.
VLDB J.
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2023 J jnl
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
CoRR
Zhihao Ding, Jieming Shi
2023 A* conf
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs.
ICML
Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li
2022 B conf
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
MDM
Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu
2022 A* conf
Example-based Spatial Search at Scale.
ICDE
Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun
2022 J jnl
Multi-Task Learning for Recommendation Over Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng.
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
2022 J jnl
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
SIGMOD Rec.
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2022 J jnl
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
CoRR
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2022 — conf
Scalable and Effective Bipartite Network Embedding.
SIGMOD Conference
Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2021 A* conf
Effective and Scalable Clustering on Massive Attributed Graphs.
WWW
Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021 J jnl
Effective and Scalable Clustering on Massive Attributed Graphs.
CoRR
Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021 A* conf
MOTS: Minimax Optimal Thompson Sampling.
ICML
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2021 — conf
Top-k Closest Pair Queries over Spatial Knowledge Graph.
DASFAA (1)
Fangwei Wu, Xike Xie, Jieming Shi
2021 J jnl
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow.
Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2020 J jnl
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow.
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick
2020 J jnl
MOTS: Minimax Optimal Thompson Sampling.
CoRR
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2020 J jnl
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
CoRR
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020 J jnl
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
Proc. VLDB Endow.
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020 J jnl
Scaling Attributed Network Embedding to Massive Graphs.
CoRR
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020 J jnl
Scaling Attributed Network Embedding to Massive Graphs.
Proc. VLDB Endow.
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020 J jnl
Top-k relevant semantic place retrieval on spatiotemporal RDF data.
VLDB J.
Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis
2019 A* conf
Efficient Pure Exploration in Adaptive Round model.
NeurIPS
Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen
2019 J jnl
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
CoRR
Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang
2019 J jnl
Realtime Top-k Personalized PageRank over Large Graphs on GPUs.
Proc. VLDB Endow.
Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang
2018 J jnl
Density-Based Place Clustering Using Geo-Social Network Data.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Jieming Shi, Nikos Mamoulis
2016 J jnl
Textually Relevant Spatial Skylines.
IEEE Trans. Knowl. Data Eng.
Jieming Shi, Dingming Wu, Nikos Mamoulis
2016 — conf
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data.
SIGMOD Conference
Jieming Shi, Dingming Wu, Nikos Mamoulis
2015 J jnl
Clustering in Geo-Social Networks.
IEEE Data Eng. Bull.
Dingming Wu, Nikos Mamoulis, Jieming Shi
2015 — —
Queries and analysis tasks on semantically rich spatial data.
Jieming Shi
2014 — conf
Density-based place clustering in geo-social networks.
SIGMOD Conference
Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung