Zheng, Zibin

22 publications

ICLR 2026 Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-Squashing in GNNs? Jialong Chen, Bowen Deng, Zibin Zheng, Chuan Chen

ICML 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-Off Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

IJCAI 2025 Federated Domain Generalization with Decision Insight Matrix Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

ICLR 2025 Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

ICML 2025 Measuring Diversity in Synthetic Datasets Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian

AAAI 2025 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu

NeurIPS 2025 Self-Assembling Graph Perceptrons Jialong Chen, Tong Wang, Bowen Deng, Luonan Chen, Zibin Zheng, Chuan Chen

ICLR 2024 A Graph Is Worth 1-Bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

NeurIPS 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen

CVPR 2024 Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement Han Wu, Guanyan Ou, Weibin Wu, Zibin Zheng

NeurIPS 2024 State Space Models on Temporal Graphs: A First-Principles Study Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng

NeurIPS 2023 Blurred-Dilated Method for Adversarial Attacks Yang Deng, Weibin Wu, Jianping Zhang, Zibin Zheng

AAAI 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu

AAAI 2023 Scaling up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

IJCAI 2021 Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

IJCAI 2020 Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu

AAAI 2020 Towards Better Forecasting by Fusing near and Distant Future Visions Jiezhu Cheng, Kaizhu Huang, Zibin Zheng

IJCAI 2019 Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen

IJCAI 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng

AAAI 2019 Tensor Decomposition for Multilayer Networks Clustering Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

IJCAI 2019 Variational Graph Embedding and Clustering with Laplacian Eigenmaps Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou

ICML 2018 Learning Semantic Representations for Unsupervised Domain Adaptation Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen