ANRL: Attributed Network Representation Learning via Deep Neural Networks. - Zhen Zhang 023; Hongxia Yang; Jiajun Bu; Sheng Zhou 004; Pinggang Yu; Jianwei Zhang 012; Martin Ester; Can Wang 001 (IJCAI, 2018)

Hierarchical Graph Pooling with Structure Learning. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Chengwei Yao; Zhi Yu; Can Wang 001 (CoRR, 2019)

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. - Ning Ma; Jiajun Bu; Jieyu Yang; Zhen Zhang 023; Chengwei Yao; Zhi Yu; Sheng Zhou 004; Xifeng Yan (CIKM, 2020)

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Chengwei Yao; Zhao Li 007; Can Wang 001 (WWW, 2020)

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. - Zhao Li 007; Haobo Wang 001; Donghui Ding; Shichang Hu; Zhen Zhang 023; Weiwei Liu 003; Jianliang Gao; Zhiqiang Zhang 010; Ji Zhang 001 (Complex., 2020)

Few-Shot Graph Classification with Model Agnostic Meta-Learning. - Ning Ma; Jiajun Bu; Jieyu Yang; Zhen Zhang 023; Chengwei Yao; Zhi Yu (CoRR, 2020)

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. - Sheng Zhou 004; Jiajun Bu; Zhen Zhang 023; Can Wang 001; Lingzhou Ma; Jianfeng Zhang (Knowl. Based Syst., 2020)

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Zhao Li 007; Chengwei Yao; Zhi Yu; Can Wang 001 (KDD, 2021)

Image Search with Text Feedback by Deep Hierarchical Attention Mutual Information Maximization. - Chunbin Gu; Jiajun Bu; Zhen Zhang 023; Zhi Yu; Dongfang Ma; Wei Wang 470 (ACM Multimedia, 2021)

Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. - Ning Ma; Jiajun Bu; Zhen Zhang 023; Sheng Zhou 004 (CoRR, 2021)

Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. - Ning Ma; Jiajun Bu; Lixian Lu; Jun Wen; Zhen Zhang 023; Sheng Zhou 004; Xifeng Yan (CoRR, 2021)

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. - Zhen Zhang 023; Jiajun Bu; Zhao Li 007; Chengwei Yao; Can Wang 001; Jia Wu 001 (Neural Networks, 2021)

Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. - Ning Ma; Hongyi Zhang; Xuhui Li; Sheng Zhou 004; Zhen Zhang 023; Jun Wen; Haifeng Li; Jingjun Gu; Jiajun Bu (ECCV (4), 2022)

Context-guided entropy minimization for semi-supervised domain adaptation. - Ning Ma; Jiajun Bu; Lixian Lu; Jun Wen; Sheng Zhou 004; Zhen Zhang 023; Jingjun Gu; Haifeng Li; Xifeng Yan (Neural Networks, 2022)

Direction-Aware User Recommendation Based on Asymmetric Network Embedding. - Sheng Zhou 004; Xin Wang 019; Martin Ester; Bolang Li; Chen Ye; Zhen Zhang 023; Can Wang 001; Jiajun Bu (ACM Trans. Inf. Syst., 2022)

Cyclic label propagation for graph semi-supervised learning. - Zhao Li 007; Yixin Liu 001; Zhen Zhang 023; Shirui Pan; Jianliang Gao; Jiajun Bu (World Wide Web, 2022)

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 023 (KDD, 2023)

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT. - Zhen Zhang 023; Bingqiao Luo; Shengliang Lu; Bingsheng He (NeurIPS, 2023)

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. - Sihao Hu; Zhen Zhang 023; Bingqiao Luo; Shengliang Lu; Bingsheng He; Ling Liu 001 (WWW, 2023)

ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter. - Qian Wang 002; Zhen Zhang 023; Zemin Liu; Shengliang Lu; Bingqiao Luo; Bingsheng He (CoRR, 2023)

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. - Sihao Hu; Zhen Zhang 023; Shengliang Lu; Bingsheng He; Zhao Li 007 (Proc. ACM Manag. Data, 2023)

Hierarchical Multi-View Graph Pooling With Structure Learning. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Zhao Li 007; Chengwei Yao; Huifen Dai; Zhi Yu; Can Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Source-free semi-supervised domain adaptation via progressive Mixup. - Ning Ma; Haishuai Wang; Zhen Zhang 023; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (Knowl. Based Syst., 2023)

Rethinking Propagation for Unsupervised Graph Domain Adaptation. - Meihan Liu; Zeyu Fang; Zhen Zhang 023; Ming Gu 014; Sheng Zhou 004; Xin Wang 019; Jiajun Bu (AAAI, 2024)

EX-Graph: A Pioneering Dataset Bridging Ethereum and X. - Qian Wang 002; Zhen Zhang 023; Zemin Liu; Shengliang Lu; Bingqiao Luo; Bingsheng He (ICLR, 2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. - Meihan Liu; Zhen Zhang 023; Jiachen Tang; Jiajun Bu; Bingsheng He; Sheng Zhou 004 (NeurIPS, 2024)

Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets. - Bingqiao Luo; Zhen Zhang 023; Qian Wang 002; Bingsheng He (NeurIPS, 2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. - Zhen Zhang 023; Meihan Liu; Anhui Wang; Hongyang Chen; Zhao Li 007; Jiajun Bu; Bingsheng He (WWW, 2024)

BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes. - Qian Wang 002; Zemin Liu; Zhen Zhang 023; Bingsheng He (CoRR, 2024)

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Zhe Wang 001; Tianjian Zhao; Zhen Zhang 023; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Structure enhanced prototypical alignment for unsupervised cross-domain node classification. - Meihan Liu; Zhen Zhang 023; Ning Ma; Ming Gu 014; Haishuai Wang; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2024)

Spade: A Real-Time Fraud Detection Framework. - Jiaxin Jiang; Zhen Zhang 023; Bingqiao Luo; Bingsheng He; Min Chen 018; Wei Yang Wang; Jia Chen (Proc. VLDB Endow., 2024)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. - Zhe Wang 001; Sheng Zhou 004; Jiawei Chen 007; Zhen Zhang 023; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation. - Zhen Zhang 023; Bingsheng He (WWW, 2025)

PyGDA: A Python Library for Graph Domain Adaptation. - Zhen Zhang 023; Meihan Liu; Bingsheng He (CoRR, 2025)

AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective. - Bingqiao Luo; Zhen Zhang 023; Qian Wang 002; Anli Ke; Shengliang Lu; Bingsheng He (ACM Comput. Surv., 2025)