Zhen Zhang - RankMe

47 papers A* 13A 2Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. ACM Comput. Surv. Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2025	A*	`conf`	Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. WWW Zhen Zhang, Bingsheng He
2025	J	`jnl`	Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. CoRR Zhen Zhang, Bingsheng He
2025	A	`conf`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. WSDM Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	PyGDA: A Python Library for Graph Domain Adaptation. CoRR Zhen Zhang, Meihan Liu, Bingsheng He
2025	J	`jnl`	Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming. CoRR Zhen Zhang, Bingsheng He
2024	J	`jnl`	BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. CoRR Qian Wang, Zemin Liu, Zhen Zhang, Bingsheng He
2024	A*	`conf`	Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. WWW Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
2024	J	`jnl`	Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. CoRR Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
2024	J	`jnl`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	A*	`conf`	EX-Graph: A Pioneering Dataset Bridging Ethereum and X. ICLR Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2024	A*	`conf`	Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets. NeurIPS Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He
2024	A*	`conf`	Rethinking Propagation for Unsupervised Graph Domain Adaptation. AAAI Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
2024	J	`jnl`	Rethinking Propagation for Unsupervised Graph Domain Adaptation. CoRR Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
2024	A*	`conf`	Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. NeurIPS Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
2024	J	`jnl`	Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
2024	J	`jnl`	Spade: A Real-Time Fraud Detection Framework. Proc. VLDB Endow. Jiaxin Jiang, Zhen Zhang, Bingqiao Luo, Bingsheng He, Min Chen, Wei Yang Wang, Jia Chen
2024	J	`jnl`	Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu
2024	J	`jnl`	Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. CoRR Zhe Wang, Tianjian Zhao, Zhen Zhang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. CoRR Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2023	A*	`conf`	BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. WWW Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023	J	`jnl`	BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. CoRR Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
2023	J	`jnl`	ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. CoRR Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
2023	J	`jnl`	Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
2023	A*	`conf`	Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. NeurIPS Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023	J	`jnl`	Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. CoRR Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
2023	A*	`conf`	Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. KDD Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang
2023	J	`jnl`	Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. Proc. ACM Manag. Data Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2023	J	`jnl`	Source-free semi-supervised domain adaptation via progressive Mixup. Knowl. Based Syst. Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
2022	J	`jnl`	Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan
2022	J	`jnl`	Cyclic label propagation for graph semi-supervised learning. World Wide Web Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
2022	J	`jnl`	Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
2022	—	`conf`	Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. ECCV (4) Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu
2022	J	`jnl`	Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. CoRR Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li
2021	A*	`conf`	H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
2021	A*	`conf`	Image Search with Text Feedback by Deep Hierarchical Attention Mutual Information Maximization. ACM Multimedia Chunbin Gu, Jiajun Bu, Zhen Zhang, Zhi Yu, Dongfang Ma, Wei Wang
2021	J	`jnl`	Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. CoRR Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
2021	J	`jnl`	TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu
2021	J	`jnl`	Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. CoRR Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
2020	A	`conf`	Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. CIKM Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan
2020	J	`jnl`	Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. Knowl. Based Syst. Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
2020	J	`jnl`	Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
2020	J	`jnl`	Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang
2020	J	`jnl`	Few-Shot Graph Classification with Model Agnostic Meta-Learning. CoRR Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu
2020	A*	`conf`	Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
2019	J	`jnl`	Hierarchical Graph Pooling with Structure Learning. CoRR Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
2018	A*	`conf`	ANRL: Attributed Network Representation Learning via Deep Neural Networks. IJCAI Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang