Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. - Yang Zhou 001; Sixing Wu; Chao Jiang 002; Zijie Zhang 001; Dejing Dou; Ruoming Jin; Pengwei Wang 004 (ICDM, 2018)

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. - Yang Zhou 001; Chao Jiang 002; Zijie Zhang 001; Dejing Dou; Ruoming Jin; Pengwei Wang 004 (IEEE BigData, 2019)

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. - Yang Zhou 001; Jiaxiang Ren 001; Sixing Wu; Dejing Dou; Ruoming Jin; Zijie Zhang 001; Pengwei Wang 004 (IEEE BigData, 2019)

Dual Adversarial Learning Based Network Alignment. - Jiaxiang Ren 001; Yang Zhou 001; Ruoming Jin; Zijie Zhang 001; Dejing Dou; Pengwei Wang 004 (ICDM, 2019)

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Dejing Dou; Da Yan 001 (IEEE BigData, 2020)

Adversarial Attacks on Deep Graph Matching. - Zijie Zhang 001; Zeru Zhang; Yang Zhou 001; Yelong Shen; Ruoming Jin; Dejing Dou (NeurIPS, 2020)

Adversarial Attack against Cross-lingual Knowledge Graph Alignment. - Zeru Zhang; Zijie Zhang 001; Yang Zhou 001; Lingfei Wu 001; Sixing Wu; Xiaoying Han; Dejing Dou; Tianshi Che; Da Yan 001 (EMNLP (1), 2021)

Integrated Defense for Resilient Graph Matching. - Jiaxiang Ren 001; Zijie Zhang 001; Jiayin Jin; Xin Zhao; Sixing Wu; Yang Zhou 001; Yelong Shen; Tianshi Che; Ruoming Jin; Dejing Dou (ICML, 2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Xin Zhao; Zeru Zhang; Zijie Zhang 001; Lingfei Wu 001; Jiayin Jin; Yang Zhou 001; Ruoming Jin; Dejing Dou; Da Yan 001 (ICML, 2021)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. - Zeru Zhang; Jiayin Jin; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Jiaxiang Ren 001; Ji Liu 003; Lingfei Wu 001; Ruoming Jin; Dejing Dou (NeurIPS, 2021)

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. - Yang Zhou 001; Zeru Zhang; Sixing Wu; Victor S. Sheng; Xiaoying Han; Zijie Zhang 001; Ruoming Jin (WWW, 2021)

Federated Fingerprint Learning with Heterogeneous Architectures. - Tianshi Che; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Ji Liu 003; Zhe Jiang 001; Da Yan 001; Ruoming Jin; Dejing Dou (ICDM, 2022)

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. - Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Tianshi Che; Lingjuan Lyu (NeurIPS, 2022)

Unsupervised Adversarial Network Alignment with Reinforcement Learning. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Jingyi Zheng; Zhe Jiang 001; Da Yan 001; Dejing Dou (ACM Trans. Knowl. Discov. Data, 2022)

Fast Federated Machine Unlearning with Nonlinear Functional Theory. - Tianshi Che; Yang Zhou 001; Zijie Zhang 001; Lingjuan Lyu; Ji Liu 003; Da Yan 001; Dejing Dou; Jun Huan (ICML, 2023)

Advancing Certified Robustness of Explanation via Gradient Quantization. - Yang Xiao; Zijie Zhang 001; Yuchen Fang 001; Da Yan 001; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CIKM, 2024)

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Ji Liu 003; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Yang Zhou 001; Patrick Valduriez; Dejing Dou (EMNLP, 2024)

Effective Federated Graph Matching. - Yang Zhou 001; Zijie Zhang 001; Zeru Zhang; Lingjuan Lyu; Wei-Shinn Ku (ICML, 2024)

A Survey of Lottery Ticket Hypothesis. - Bohan Liu; Zijie Zhang 001; Peixiong He; Zhensen Wang; Yang Xiao; Ruimeng Ye; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CoRR, 2024)