Li, Shen

22 publications

AAAI 2025 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization Weibo Zhao, Yubin Shi, Xinyu Lyu, Wanchen Sui, Shen Li, Yong Li

IJCAI 2025 EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma

ICLR 2025 Safety Layers in Aligned Large Language Models: The Key to LLM Security Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

ICCV 2025 Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji

AAAI 2025 Treasures in Discarded Weights for LLM Quantization Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu

NeurIPS 2024 $\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi

NeurIPS 2024 Enhancing Preference-Based Linear Bandits via Human Response Time Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah

ICML 2024 Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen

TMLR 2023 Lo-Fi: Distributed Fine-Tuning Without Communication Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael Rabbat, Ari S. Morcos

CVPR 2023 Neighborhood Attention Transformer Ali Hassani, Steven Walton, Jiachen Li, Shen Li, Humphrey Shi

CVPR 2023 Probabilistic Knowledge Distillation of Face Ensembles Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi

NeurIPS 2023 Proximity-Informed Calibration for Deep Neural Networks Miao Xiong, Ailin Deng, Pang Wei W Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

TMLR 2022 Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

IJCAI 2022 Neural PCA for Flow-Based Representation Learning Shen Li, Bryan Hooi

IJCAI 2022 Parameter-Efficient Sparsity for Large Language Models Fine-Tuning Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai

CoRL 2022 Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah

ECCV 2022 Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi

ICML 2021 PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-Scale Models Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr

CVPR 2021 Spherical Confidence Learning for Face Recognition Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi

ICLR 2020 Identifying Through Flows for Recovering Latent Representations Shen Li, Bryan Hooi, Gim Hee Lee

CoRL 2019 Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration Vaibhav V. Unhelkar, Shen Li, Julie A. Shah

NeurIPS 2018 Bayesian Inference of Temporal Task Specifications from Demonstrations Ankit Shah, Pritish Kamath, Julie A Shah, Shen Li