Yaxin Li - RankMe

25 papers A* 6A 4Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	A	`conf`	Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV Yaxin Li, Jie Ren, Han Xu, Hui Liu
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2023	A	`conf`	A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
2022	J	`jnl`	Enhancing Adversarial Training with Feature Separability. CoRR Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
2022	A*	`conf`	Imbalanced Adversarial Training with Reweighting. ICDM Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	A	`conf`	Towards Practical Robustness Evaluation and Robustness Enhancing. WSDM Yaxin Li
2021	A*	`conf`	Adversarial Robustness in Deep Learning: From Practices to Theories. KDD Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	A*	`conf`	DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2021	A*	`conf`	Elastic Graph Neural Networks. ICML Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Elastic Graph Neural Networks. CoRR Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Imbalanced Adversarial Training with Reweighting. CoRR Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2021	A*	`conf`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Trustworthy AI: A Computational Perspective. CoRR Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
2021	A	`conf`	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
2020	A*	`conf`	Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
2020	J	`jnl`	DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2020	Misc	`conf`	Graphical Evolutionary Game Theoretic Analysis of Super Users in Information Diffusion. ICASSP Yuejiang Li, Yaxin Li, Hong Hu, H. Vicky Zhao, Yan Chen
2020	J	`jnl`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
2020	J	`jnl`	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang