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ORCIDJieming Shi 0001
Person information
- affiliation: Hong Kong Polytechnic University, China
- affiliation (former): National University of Singapore
Other persons with the same name
- Jieming Shi — disambiguation page
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2020 – today
- 2024
[j22]Renchi Yang
, Jieming Shi:
Efficient High-Quality Clustering for Large Bipartite Graphs. Proc. ACM Manag. Data 2(1): 23:1-23:27 (2024)- [j21]Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang:
Minimum Strongly Connected Subgraph Collection in Dynamic Graphs. Proc. VLDB Endow. 17(6): 1324-1336 (2024) - [j20]Anguo Zhang, Jieming Shi, Junyi Wu, Yongcheng Zhou, Wei Yu:
Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17177-17188 (2024) - [j19]Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo:
A versatile framework for attributed network clustering via K-nearest neighbor augmentation. VLDB J. 33(6): 1913-1943 (2024) - [c19]Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao:
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs. CIKM 2024: 457-466 - [c18]Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong:
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. CIKM 2024: 467-476 - [c17]Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li:
Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph. DASFAA (7) 2024: 327-339 - [c16]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE 2024: 2820-2833 - [c15]Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi:
Effective Clustering on Large Attributed Bipartite Graphs. KDD 2024: 3782-3793 - [i17]Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li:
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network. CoRR abs/2405.01927 (2024) - [i16]Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi:
Effective Clustering on Large Attributed Bipartite Graphs. CoRR abs/2405.11922 (2024) - [i15]Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo:
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation. CoRR abs/2408.05459 (2024) - [i14]Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang:
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. CoRR abs/2412.09030 (2024) - [i13]Haoran Zheng, Jieming Shi, Renchi Yang:
GraSP: Simple yet Effective Graph Similarity Predictions. CoRR abs/2412.09968 (2024) - [i12]Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen:
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. CoRR abs/2412.11180 (2024) - 2023
- [j18]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:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [j17]Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li:
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631: 369-384 (2023) - [j16]Yiran Li, Renchi Yang, Jieming Shi:
Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation. Proc. ACM Manag. Data 1(2): 116:1-116:23 (2023) - [j15]Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou:
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks. Proc. VLDB Endow. 16(10): 2512-2524 (2023) - [j14]Yuanhang Zou, Zhihao Ding, Jieming Shi, Shuting Guo, Chunchen Su, Yafei Zhang:
EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data. Proc. VLDB Endow. 16(12): 3543-3556 (2023) - [j13]Junyi Wu, Yan Huang, Min Gao, Zhipeng Gao, Jianqiang Zhao, Jieming Shi, Anguo Zhang:
Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition. IEEE Trans. Inf. Forensics Secur. 18: 5623-5635 (2023) - [j12]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu:
PANE: scalable and effective attributed network embedding. VLDB J. 32(6): 1237-1262 (2023) - [c14]Hewen Wang, Renchi Yang, Jieming Shi:
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. DaWaK 2023: 64-79 - [c13]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE 2023: 246-258 - [c12]Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). ICDE 2023: 3775-3776 - [c11]Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li:
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. ICML 2023: 42644-42657 - [c10]Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi:
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. NeurIPS 2023 - [i11]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR abs/2307.15244 (2023) - [i10]Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li:
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph. CoRR abs/2308.02793 (2023) - [i9]Zhihao Ding, Jieming Shi, Qing Li, Jiannong Cao:
Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks. CoRR abs/2309.02460 (2023) - [i8]Zhihao Ding, Jieming Shi:
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. CoRR abs/2310.10237 (2023) - [i7]Renchi Yang, Jieming Shi:
Efficient High-Quality Clustering for Large Bipartite Graphs. CoRR abs/2312.16926 (2023) - 2022
- [j11]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu:
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. 51(1): 42-49 (2022) - [j10]Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-Task Learning for Recommendation Over Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 34(2): 789-802 (2022) - [c9]Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun:
Example-based Spatial Search at Scale. ICDE 2022: 539-551 - [c8]Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu:
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. MDM 2022: 238-245 - [c7]Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
Scalable and Effective Bipartite Network Embedding. SIGMOD Conference 2022: 1977-1991 - [i6]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR abs/2211.08415 (2022) - 2021
- [j9]Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. 14(10): 1756-1768 (2021) - [c6]Fangwei Wu, Xike Xie, Jieming Shi:
Top-k Closest Pair Queries over Spatial Knowledge Graph. DASFAA (1) 2021: 625-640 - [c5]Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. ICML 2021: 5074-5083 - [c4]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. WWW 2021: 3675-3687 - [i5]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. CoRR abs/2102.03826 (2021) - 2020
- [j8]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick:
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. Proc. VLDB Endow. 13(5): 670-683 (2020) - [j7]Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. 13(7): 966-978 (2020) - [j6]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. 14(1): 37-49 (2020) - [j5]Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis:
Top-k relevant semantic place retrieval on spatiotemporal RDF data. VLDB J. 29(4): 893-917 (2020) - [i4]Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR abs/2002.08082 (2020) - [i3]Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. CoRR abs/2003.01803 (2020) - [i2]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. CoRR abs/2009.00826 (2020)
2010 – 2019
- 2019
- [j4]Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang:
Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. 13(1): 15-28 (2019) - [c3]Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen:
Efficient Pure Exploration in Adaptive Round model. NeurIPS 2019: 6605-6614 - [i1]Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang:
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. CoRR abs/1906.06826 (2019) - 2018
- [j3]Dingming Wu, Jieming Shi, Nikos Mamoulis:
Density-Based Place Clustering Using Geo-Social Network Data. IEEE Trans. Knowl. Data Eng. 30(5): 838-851 (2018) - 2016
- [j2]Jieming Shi, Dingming Wu, Nikos Mamoulis:
Textually Relevant Spatial Skylines. IEEE Trans. Knowl. Data Eng. 28(1): 224-237 (2016) - [c2]Jieming Shi, Dingming Wu, Nikos Mamoulis:
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. SIGMOD Conference 2016: 1977-1990 - 2015
- [b1]Jieming Shi:
Queries and analysis tasks on semantically rich spatial data. University of Hong Kong, 2015 - [j1]Dingming Wu, Nikos Mamoulis, Jieming Shi:
Clustering in Geo-Social Networks. IEEE Data Eng. Bull. 38(2): 47-57 (2015) - 2014
- [c1]Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung:
Density-based place clustering in geo-social networks. SIGMOD Conference 2014: 99-110
Coauthor Index
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