Zijie Zhang - RankMe

24 papers A* 13A 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis. CoRR Abu Noman Md Sakib, Merjulah Roby, Zijie Zhang, Satish C. Muluk, Mark K. Eskandari, Ender A. Finol
2026	J	`jnl`	Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion. CoRR Abu Noman Md Sakib, OFM Riaz Rahman Aranya, Kevin Desai, Zijie Zhang
2025	J	`jnl`	Automatic Explainable Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography. IEEE Access Merjulah Roby, Abu Noman Md Sakib, Zijie Zhang, Satish C. Muluk, Mark K. Eskandari, Ender A. Finol
2025	A*	`conf`	Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. ICML Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2024	J	`jnl`	A Survey of Lottery Ticket Hypothesis. CoRR Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024	A	`conf`	Advancing Certified Robustness of Explanation via Gradient Quantization. CIKM Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024	A*	`conf`	Effective Federated Graph Matching. ICML Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
2024	A*	`conf`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	J	`jnl`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2023	A*	`conf`	Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2022	A*	`conf`	Federated Fingerprint Learning with Heterogeneous Architectures. ICDM Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022	A*	`conf`	Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu
2022	J	`jnl`	Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2021	—	`conf`	Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
2021	A*	`conf`	Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
2021	A*	`conf`	Integrated Defense for Resilient Graph Matching. ICML Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou
2021	A*	`conf`	Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin
2021	A*	`conf`	Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
2020	A*	`conf`	Adversarial Attacks on Deep Graph Matching. NeurIPS Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
2020	—	`conf`	Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
2019	A*	`conf`	Dual Adversarial Learning Based Network Alignment. ICDM Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
2019	—	`conf`	Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2019	—	`conf`	Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang
2018	A*	`conf`	Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang