Li, Kai

86 publications

AAAI 2025 An Open-Ended Learning Framework for Opponent Modeling Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
AAAI 2025 Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection Kai Li, Wenqi Ren, Jianshu Li, Wei Wang, Xiaochun Cao
ICLR 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Kong Hansheng, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu
ICCV 2025 Dynamic Dictionary Learning for Remote Sensing Image Segmentation Xuechao Zou, Yue Li, Shun Zhang, Kai Li, Shiying Wang, Pin Tao, Junliang Xing, Congyan Lang
UAI 2025 Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games Chen Qiu, Haobo Fu, Kai Li, Jiajia Zhang, Xuan Wang
WACV 2025 Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Wentao Bao, Kai Li, Yuxiao Chen, Deep A Patel, Martin Renqiang Min, Yu Kong
ICCV 2025 FPEM: Face Prior Enhanced Facial Attractiveness Prediction for Live Videos with Face Retouching Hui Li, Xiaoyu Ren, Hongjiu Yu, Ying Chen, Kai Li, L Wang, Xiongkuo Min, Huiyu Duan, Guangtao Zhai, Xu Liu
ICML 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
ICLR 2025 InstantSwap: Fast Customized Concept Swapping Across Sharp Shape Differences Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li
NeurIPS 2025 Learned Prefix Caching for Efficient LLM Inference Dongsheng Yang, Austin Li, Kai Li, Wyatt Lloyd
NeurIPS 2025 MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, Tianrui Wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, EngSiong Chng, Xie Chen
AAAI 2025 MultiBooth: Towards Generating All Your Concepts in an Image from Text Chenyang Zhu, Kai Li, Yue Ma, Chunming He, Xiu Li
ICML 2025 Offline Opponent Modeling with Truncated Q-Driven Instant Policy Refinement Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
ICML 2025 RUN: Reversible Unfolding Network for Concealed Object Segmentation Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu
ICCV 2025 Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation Tiange Xiang, Kai Li, Chengjiang Long, Christian Häne, Peihong Guo, Scott Delp, Ehsan Adeli, Li Fei-Fei
ICLR 2025 Reti-Diff: Illumination Degradation Image Restoration with Retinex-Based Latent Diffusion Model Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang, Kai Li, Zhenhua Guo, Xiu Li, Sina Farsiu
ICLR 2025 SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
ICLR 2025 SonicSim: A Customizable Simulation Platform for Speech Processing in Moving Sound Source Scenarios Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu
ICLR 2025 TIGER: Time-Frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu
NeurIPS 2024 BitDelta: Your Fine-Tune May Only Be Worth One Bit James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai
ICLR 2024 Catastrophic Jailbreak of Open-Source LLMs via Exploiting Generation Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
CVPR 2024 DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han
ICLR 2024 Dynamic Discounted Counterfactual Regret Minimization Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
NeurIPS 2024 Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
NeurIPS 2024 Evaluating Copyright Takedown Methods for Language Models Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson
ICML 2024 IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu
ECCV 2024 Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas
ECCV 2024 Mind the Interference: Retaining Pre-Trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models Longxiang Tang, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, Jiaya Jia
IJCAI 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
AAAI 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
AAAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
NeurIPS 2024 Opponent Modeling with In-Context Search Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
ICLR 2024 RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation Samuel Pegg, Kai Li, Xiaolin Hu
NeurIPS 2024 Real-World Image Dehazing with Coherence-Based Pseudo Labeling and Cooperative Unfolding Network Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li
ECCV 2024 Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data Wufei Ma, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Haene, Alan Yuille
ICLR 2024 Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu
ICLR 2024 Towards Offline Opponent Modeling with In-Context Learning Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
CVPRW 2024 Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding
AAAI 2023 Adversarial Alignment for Source Free Object Detection Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li
ICLR 2023 An Efficient Encoder-Decoder Architecture with Top-Down Attention for Speech Separation Kai Li, Runxuan Yang, Xiaolin Hu
NeurIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
CVPR 2023 Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li
CVPR 2023 Conditional Image-to-Video Generation with Latent Flow Diffusion Models Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min
ICCVW 2023 Consistency Regularization for Generalizable Source-Free Domain Adaptation Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li
ICCV 2023 Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li
CVPRW 2023 Exploring Compositional Visual Generation with Latent Classifier Guidance Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
ICCV 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding
CVPRW 2023 Improving Cross-Domain Detection with Self-Supervised Learning Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
NeurIPSW 2023 Is EMA Robust? Examining the Robustness of Data Auditing and a Novel Non-Calibration Extension Ayush Alag, Yangsibo Huang, Kai Li
ICCV 2023 Personalized Semantics Excitation for Federated Image Classification Haifeng Xia, Kai Li, Zhengming Ding
CVPR 2023 Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min
CVPRW 2023 Video Quality Assessment Based on Swin Transformer with Spatio-Temporal Feature Fusion and Data Augmentation Wei Wu, Shuming Hu, Pengxiang Xiao, Sibin Deng, Yilin Li, Ying Chen, Kai Li
NeurIPS 2023 Weakly-Supervised Concealed Object Segmentation with SAM-Based Pseudo Labeling and Multi-Scale Feature Grouping Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li
ICLR 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei
AAAI 2022 AlphaHoldem: High-Performance Artificial Intelligence for Heads-up No-Limit Poker via End-to-End Reinforcement Learning Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing
AAAI 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
ICML 2022 Greedy When Sure and Conservative When Uncertain About the Opponents Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
NeurIPS 2022 Multiagent Q-Learning with Sub-Team Coordination Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
NeurIPS 2022 Recovering Private Text in Federated Learning of Language Models Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen
CVPR 2022 StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu
NeurIPSW 2021 DRL-Clusters: Buffer Management with Clustering Based Deep Reinforcement Learning Kai Li, Qi Zhang, Lei Yu, Hong Min
ICCV 2021 ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu
NeurIPS 2021 Evaluating Gradient Inversion Attacks and Defenses in Federated Learning Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora
AAAI 2021 Exploration via State Influence Modeling Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing
CVPR 2021 MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention Network Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu
NeurIPS 2021 Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
CVPRW 2021 Variable Rate ROI Image Compression Optimized for Visual Quality Yi Ma, Yongqi Zhai, Chunhui Yang, Jiayu Yang, Ruofan Wang, Jing Zhou, Kai Li, Ying Chen, Ronggang Wang
ICCV 2021 Video Matting via Consistency-Regularized Graph Neural Networks Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, Ming-Hsuan Yang
ECCVW 2020 AIM 2020 Challenge on Learned Image Signal Processing Pipeline Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou
ICML 2020 InstaHide: Instance-Hiding Schemes for Private Distributed Learning Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora
AISTATS 2020 Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara Engelhardt
IJCAI 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing
AAAI 2019 Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games Kai Li, Dong Hao
CVPRW 2019 FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-Spoofing Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
ICLR 2019 Residual Non-Local Attention Networks for Image Restoration Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu
AAAI 2018 Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification Kai Li, Zhengming Ding, Sheng Li, Yun Fu
ECCV 2018 Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu
AAAI 2018 Latent Discriminant Subspace Representations for Multi-View Outlier Detection Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu
IJCAI 2018 Payoff Control in the Iterated Prisoner's Dilemma Dong Hao, Kai Li, Tao Zhou
WACV 2016 Joint Point and Line Segment Matching on Wide-Baseline Stereo Images Kai Li, Jian Yao, Menghan Xia, Li Li
WACV 2016 Line Segment Matching: A Benchmark Kai Li, Jian Yao, Mengsheng Lu, Yuan Heng, Teng Wu, Yinxuan Li
CVPR 2015 Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration Mi Zhang, Jian Yao, Menghan Xia, Kai Li, Yi Zhang, Yaping Liu
CVPR 2012 A Data-Driven Approach for Facial Expression Synthesis in Video Kai Li, Feng Xu, Jue Wang, Qionghai Dai, Yebin Liu
ECCV 2010 What Does Classifying More than 10, 000 Image Categories Tell Us? Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
CVPR 2009 ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
ECCV 2008 Towards Scalable Dataset Construction: An Active Learning Approach Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei