Li, Yaxin

10 publications

NeurIPS 2025 Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs Xingang Guo, Yaxin Li, XiangYi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu

WACV 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer Yaxin Li, Jie Ren, Han Xu, Hui Liu

ICML 2024 Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity Based Pruning Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan

ECCV 2024 Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang

CVPR 2023 Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

NeurIPS 2023 EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu

NeurIPS 2023 Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan

AAAI 2021 DeepRobust: A Platform for Adversarial Attacks and Defenses Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

ICML 2021 Elastic Graph Neural Networks Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

ICML 2021 To Be Robust or to Be Fair: Towards Fairness in Adversarial Training Han Xu, Xiaorui Liu, Yaxin Li, Anil Jain, Jiliang Tang