Zhen Zhang

According to our database, Zhen Zhang authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structure enhanced prototypical alignment for unsupervised cross-domain node classification.

Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu

Neural Networks, 2024

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

CoRR, 2024

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation.

Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou

CoRR, 2024

BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes.

Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He

CoRR, 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

Proceedings of the ACM on Web Conference 2024, 2024

EX-Graph: A Pioneering Dataset Bridging Ethereum and X.

Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Propagation for Unsupervised Graph Domain Adaptation.

Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Source-free semi-supervised domain adaptation via progressive Mixup.

Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu

Knowl. Based Syst., February, 2023

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 Trans. Knowl. Data Eng., 2023

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.

Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li

Proc. ACM Manag. Data, 2023

ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter.

Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He

CoRR, 2023

AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective.

Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He

CoRR, 2023

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.

Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu

Proceedings of the ACM Web Conference 2023, 2023

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT.

Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Cyclic label propagation for graph semi-supervised learning.

Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu

World Wide Web, 2022

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 Trans. Inf. Syst., 2022

Context-guided entropy minimization for semi-supervised domain adaptation.

Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan

Neural Networks, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.

Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu

Neural Networks, 2021

Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation.

Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan

CoRR, 2021

Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data.

Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou

CoRR, 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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks.

Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network.

Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang

Knowl. Based Syst., 2020

Few-Shot Graph Classification with Model Agnostic Meta-Learning.

Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu

CoRR, 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.

Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang

Complex., 2020

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks.

Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Hierarchical Graph Pooling with Structure Learning.

Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang

CoRR, 2019

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018