Zhen Zhang

WSDM 2025	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang The 18th ACM International Conference on Web Search and Data Mining, 2025. pdf
NeurIPS 2024	Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. pdf / code
NeurIPS 2024	Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. pdf / code
WWW 2024	Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He ACM The Web Conference, 2024. pdf / code
ICLR 2024	EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He The Twelfth International Conference on Learning Representations, 2024. openreview / pdf / code
AAAI 2024	Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu The 38th Annual AAAI Conference on Artificial Intelligence, 2024. pdf / code
NeurIPS 2023	Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He The Thirty-seventh Annual Conference on Neural Information Processing Systems, 2023. openreview / pdf / code
SIGKDD 2023	Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. pdf
WWW 2023	BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu ACM The Web Conference, 2023. pdf
SIGMOD 2023	Sequence-based Target Coin Prediction for Cryptocurrency Pump-and-dump Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li The ACM on Management of Data, 2023. pdf
ECCV 2022	Learning Spatial-preserved Skeleton Representations for Few-shot Action Recognition Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu European Conference on Computer Vision, 2022. pdf
MM 2021	Image Search with Text Feedback by Deep Hierarchical Attention Mutual Information Maximization Chunbin Gu, Jiajun Bu, Zhen Zhang, Zhi Yu, Dongfang Ma, Wei Wang The 29th ACM International Conference on Multimedia, 2021. pdf
TKDE 2021	Hierarchical Multi-View Graph Pooling with Structure Learning Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang IEEE Transactions on Knowledge and Data Engineering, 2021. pdf / code
SIGKDD 2021	H²MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang The 27th ACM International Conference on Multimedia, 2021. pdf / code
TOIS 2021	Direction-Aware User Recommendation Based on Asymmetric Network Embedding Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu ACM Transactions on Information System, 2021. pdf / code
CIKM 2020	Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan The 29th ACM International Conference on Information and Knowledge Management, 2020. pdf / code
WWW 2020	Learning Temporal Interaction Graph Embedding via Coupled Memory Networks Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang ACM The Web Conference, 2020. pdf / code
arXiv 2019	Hierarchical Graph Pooling with Structure Learning Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang In arXiv:1911.05954, 2019. pdf / code
IJCAI 2018	ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang The Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018. pdf / code

Conference reviewer

Program Committee Member of ICML
Program Committee Member of ICLR
Program Committee Member of NeurIPS
Program Committee Member of KDD
Program Committee Member of WWW
Program Committee Member of AAAI
Program Committee Member of CVPR
Program Committee Member of ICCV
Program Committee Member of ECCV
Program Committee Member of CIKM
Program Committee Member of SDM

Journal reviewer

Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Invited Reviewer for ACM Transactions on Information Systems (TOIS)
Invited Reviewer for ACM Computing Surveys (CSUR)
Invited Reviewer for ACM Transactions on Intelligent Systems and Technology (TIST)
Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Invited Reviewer for Neurocomputing
Invited Reviewer for Neural Networks
Invited Reviewer for Information Science
Invited Reviewer for Computers & Security
Invited Reviewer for ACM Transactions on the Web