Li, Yu

109 publications

ICLR 2025 AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning Yuanfei Wang, Xiaojie Zhang, Ruihai Wu, Yu Li, Yan Shen, Mingdong Wu, Zhaofeng He, Yizhou Wang, Hao Dong

ICCV 2025 Adaptive Articulated Object Manipulation on the Fly with Foundation Model Reasoning and Part Grounding Xiaojie Zhang, Yuanfei Wang, Ruihai Wu, Kunqi Xu, Yu Li, Liuyu Xiang, Hao Dong, Zhaofeng He

ICLR 2025 AgentSquare: Automatic LLM Agent Search in Modular Design Space Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li

TMLR 2025 AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu

AAAI 2025 AnyTalk: Multi-Modal Driven Multi-Domain Talking Head Generation Yu Wang, Yunfei Liu, Fa-Ting Hong, Meng Cao, Lijian Lin, Yu Li

NeurIPS 2025 Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations Li Hao, He Cao, Bin Feng, Daniel Shao, Xiangru Tang, Zhiyuan Yan, Yonghong Tian, Li Yuan, Yu Li

ICCV 2025 CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation Xiangyang Luo, Ye Zhu, Yunfei Liu, Lijian Lin, Cong Wan, Zijian Cai, Yu Li, Shao-Lun Huang

NeurIPS 2025 Context-Aware Hierarchical Learning: A Two-Step Paradigm Towards Safer LLMs Tengyun Ma, Jiaqi Yao, Daojing He, Shihao Peng, Yu Li, Shaohui Liu, Zhuotao Tian

AAAI 2025 DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models Zhiheng Huang, Yannan Liu, Daojing He, Yu Li

NeurIPS 2025 Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang

ECML-PKDD 2025 FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval Xuan Xu, Beilin Chu, Qinhong Lin, Yixiao Zhong, Fufang Wen, Jiaqi Liu, Binjie Fei, Yu Li, Zhongliang Yang, Linna Zhou

ICML 2025 Function-to-Style Guidance of LLMs for Code Translation Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang

NeurIPS 2025 GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Tianhao Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang

ICCV 2025 GUAVA: Generalizable Upper Body 3D Gaussian Avatar Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Yang Li, Minghan Qin, Yu Li, Haoqian Wang

CVPR 2025 HRAvatar: High-Quality and Relightable Gaussian Head Avatar Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Kangjie Chen, Minghan Qin, Yu Li, Haoqian Wang

AAAI 2025 HeGTa: Leveraging Heterogeneous Graph-Enhanced Large Language Models for Few-Shot Complex Table Understanding Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi

ICML 2025 Learning Cascade Ranking as One Network Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai

NeurIPS 2025 Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization Chenrui Wang, Junyi Shu, Billy Chiu, Yu Li, Saleh Alharbi, Min Zhang, Jing Li

ICCV 2025 MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment Yachun Mi, Yu Li, Weicheng Meng, Chaofeng Chen, Chen Hui, Shaohui Liu

CVPRW 2025 NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan

ICML 2025 Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan

ICLR 2025 One Model Transfer to All: On Robust Jailbreak Prompts Generation Against LLMs Linbao Li, Yannan Liu, Daojing He, Yu Li

CVPR 2025 ProReflow: Progressive Reflow with Decomposed Velocity Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang

ICLRW 2025 SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models Zhonghao Yang, Linye Lyu, Xuanhang Chang, Daojing He, Yu Li

NeurIPS 2025 Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning Honglin Lin, Qizhi Pei, Zhuoshi Pan, Yu Li, Xin Gao, Juntao Li, Conghui He, Lijun Wu

NeurIPS 2025 SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models Haotian Xu, Qingsong Peng, Jie Shi, Huadi Zheng, Yu Li, Cheng Zhuo

AAAI 2025 TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition Jianhua Zhu, Wenqi Zhao, Yu Li, Xingjian Hu, Liangcai Gao

ICLR 2025 TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li

NeurIPS 2025 Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition Yu Li, Jin Jiang, Jianhua Zhu, Shuai Peng, Baole Wei, Yuxuan Zhou, Liangcai Gao

CVPR 2024 A Video Is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing Maomao Li, Yu Li, Tianyu Yang, Yunfei Liu, Dongxu Yue, Zhihui Lin, Dong Xu

ECCV 2024 AdaShield: Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao

ECCV 2024 AddMe: Zero-Shot Group-Photo Synthesis by Inserting People into Scenes Dongxu Yue, Maomao Li, Yunfei Liu, Ailing Zeng, Tianyu Yang, Qin Guo, Yu Li

CVPR 2024 Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion Fan Zhang, Shaodi You, Yu Li, Ying Fu

AAAI 2024 Blind Face Restoration Under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery Zhengrui Chen, Liying Lu, Ziyang Yuan, Yiming Zhu, Yu Li, Chun Yuan, Weihong Deng

NeurIPS 2024 CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors Linye Lyu, Jiawei Zhou, Daojing He, Yu Li

ECCV 2024 Compress3D: A Compressed Latent Space for 3D Generation from a Single Image Bowen Zhang, Tianyu Yang, Yu Li, Lei Zhang, Xi Zhao

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

CVPR 2024 DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-Driven Holistic 3D Expression and Gesture Generation Junming Chen, Yunfei Liu, Jianan Wang, Ailing Zeng, Yu Li, Qifeng Chen

ICLR 2024 GPAvatar: Generalizable and Precise Head Avatar from Image(s) Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada

NeurIPS 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng

TMLR 2024 Lyra: Orchestrating Dual Correction in Automated Theorem Proving Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li

NeurIPS 2024 MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions Le Zhang, Jiayang Chen, Tao Shen, Yu Li, Siqi Sun

ICML 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan

ICMLW 2024 Progressive-Hint Prompting Improves Reasoning in Large Language Models Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li

ICLR 2024 Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Li Yuan

IJCAI 2024 Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage Zeyu Li, Yuwen Pu, Xuhong Zhang, Yu Li, Jinbao Li, Shouling Ji

ICLR 2024 Protein Multimer Structure Prediction via Prompt Learning Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li

ICML 2024 RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation Jiawei Zhou, Linye Lyu, Daojing He, Yu Li

NeurIPS 2024 SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning Jiying Zhang, Zijing Liu, Yu Wang, Bin Feng, Yu Li

ICML 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-Trained Models Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao

NeurIPS 2024 Towards Stable Representations for Protein Interface Prediction Ziqi Gao, Zijing Liu, Yu Li, Jia Li

NeurIPS 2024 Vector Quantization Prompting for Continual Learning Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu

CVPRW 2024 ViTKD: Feature-Based Knowledge Distillation for Vision Transformers Zhendong Yang, Zhe Li, Ailing Zeng, Zexian Li, Chun Yuan, Yu Li

ICCV 2023 Accurate 3D Face Reconstruction with Facial Component Tokens Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li

ICCVW 2023 Effective Whole-Body Pose Estimation with Two-Stages Distillation Zhendong Yang, Ailing Zeng, Chun Yuan, Yu Li

CVPRW 2023 FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation Hao Shi, Yu Li, Kailun Yang, Jiaming Zhang, Kunyu Peng, Alina Roitberg, Yaozu Ye, Huajian Ni, Kaiwei Wang, Rainer Stiefelhagen

ICCV 2023 From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Zhendong Yang, Ailing Zeng, Zhe Li, Tianke Zhang, Chun Yuan, Yu Li

NeurIPS 2023 HiBug: On Human-Interpretable Model Debug Muxi Chen, Yu Li, Qiang Xu

NeurIPS 2023 L-CAD: Language-Based Colorization with Any-Level Descriptions Using Diffusion Priors Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi

CVPR 2023 L-CoIns: Language-Based Colorization with Instance Awareness Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi

ICCV 2023 Learning Rain Location Prior for Nighttime Deraining Fan Zhang, Shaodi You, Yu Li, Ying Fu

AAAI 2023 Learning Single Image Defocus Deblurring with Misaligned Training Pairs Yu Li, Dongwei Ren, Xinya Shu, Wangmeng Zuo

ICCV 2023 MODA: Mapping-Once Audio-Driven Portrait Animation with Dual Attentions Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li

ICCV 2023 Make Encoder Great Again in 3D GAN Inversion Through Geometry and Occlusion-Aware Encoding Ziyang Yuan, Yiming Zhu, Yu Li, Hongyu Liu, Chun Yuan

CVPR 2023 One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li

AAAI 2023 Signed Laplacian Graph Neural Networks Yu Li, Meng Qu, Jian Tang, Yi Chang

IJCAI 2022 "Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng

CVPR 2022 Active Learning for Open-Set Annotation Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang

ECCV 2022 CT2: Colorization Transformer via Color Tokens Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi

AAAI 2022 Contact-Distil: Boosting Low Homologous Protein Contact mAP Prediction by Self-Supervised Distillation Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui

CVPRW 2022 HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes Fan Zhang, Shaodi You, Yu Li, Ying Fu

ICLR 2022 Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval Binjie Zhang, Yixiao Ge, Yantao Shen, Yu Li, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan

ECCV 2022 L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer Zheng Chang, Shuchen Weng, Yu Li, Si Li, Boxin Shi

ECCVW 2022 MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report Wenxiu Sun, Qingpeng Zhu, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Dewang Hou, Kai Zhao, Liying Lu, Yu Li, Huaijia Lin, Ruizheng Wu, Jiangbo Lu, Jiaya Jia, Qiang Liu, Haosong Yue, Danyang Cao, Lehang Yu, Jiaxuan Quan, Jixiang Liang, Yufei Wang, Yuchao Dai, Peng Yang, Hu Yan, Houbiao Liu, Siyuan Su, Xuanhe Li, Rui Ren, Yunlong Liu, Yufan Zhu, Dong Lao, Alex Wong, Katie Chang

AAAI 2022 Orthogonal Graph Neural Networks Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

AAAI 2022 SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

CVPR 2022 Temporally Efficient Vision Transformer for Video Instance Segmentation Shusheng Yang, Xinggang Wang, Yu Li, Yuxin Fang, Jiemin Fang, Wenyu Liu, Xun Zhao, Ying Shan

ICLR 2021 Beyond Categorical Label Representations for Image Classification Boyuan Chen, Yu Li, Sunand Raghupathi, Hod Lipson

ICCV 2021 Crossover Learning for Fast Online Video Instance Segmentation Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

ICCVW 2021 Enforcing Temporal Consistency in Video Depth Estimation Siyuan Li, Yue Luo, Ye Zhu, Xun Zhao, Yu Li, Ying Shan

ICLR 2021 Exploring Balanced Feature Spaces for Representation Learning Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng

IJCAI 2021 Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu

ICCV 2021 Instances as Queries Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

CVPR 2021 Learning Temporal Consistency for Low Light Video Enhancement from Single Images Fan Zhang, Yu Li, Shaodi You, Ying Fu

ICCVW 2021 Multi-Level Adaptive Separable Convolution for Large-Motion Video Frame Interpolation Ruth Wijma, Shaodi You, Yu Li

AAAI 2021 RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li

NeurIPS 2021 TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu

CVPR 2021 Towards Real-World Blind Face Restoration with Generative Facial Prior Xintao Wang, Yu Li, Honglun Zhang, Ying Shan

ICCV 2021 Towards Vivid and Diverse Image Colorization with Generative Color Prior Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan

NeurIPSW 2020 A Framework for Differentiable Discovery of Graph Algorithms Hanjun Dai, Xinshi Chen, Yu Li, Xin Gao, Le Song

AAAI 2020 End-to-End Trainable Non-Collaborative Dialog System Yu Li, Kun Qian, Weiyan Shi, Zhou Yu

ECCV 2020 Fast Video Object Segmentation Using the Global Context Module Yu Li, Zhuoran Shen, Ying Shan

AAAI 2020 Learning Signed Network Embedding via Graph Attention Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang

ICML 2020 Learning to Stop While Learning to Predict Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song

ICLR 2020 RNA Secondary Structure Prediction by Learning Unrolled Algorithms Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

ECCV 2020 The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

IJCAI 2019 Learning Network Embedding with Community Structural Information Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang

ICCVW 2019 Learning from Synthetic Photorealistic Raindrop for Single Image Raindrop Removal Zhixiang Hao, Shaodi You, Yu Li, Kunming Li, Feng Lu

AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

NeurIPS 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao

ICCVW 2017 Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather Kunming Li, Yu Li, Shaodi You, Nick Barnes

ECCV 2016 Fast Guided Global Interpolation for Depth and Motion Yu Li, Dongbo Min, Minh N. Do, Jiangbo Lu

CVPR 2016 Rain Streak Removal Using Layer Priors Yu Li, Robby T. Tan, Xiaojie Guo, Jiangbo Lu, Michael S. Brown

ICCV 2015 Nighttime Haze Removal with Glow and Multiple Light Colors Yu Li, Robby T. Tan, Michael S. Brown

ICCV 2015 SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu

ECCV 2014 A Contrast Enhancement Framework with JPEG Artifacts Suppression Yu Li, Fangfang Guo, Robby T. Tan, Michael S. Brown

CVPR 2014 Single Image Layer Separation Using Relative Smoothness Yu Li, Michael S. Brown

ICCV 2013 Exploiting Reflection Change for Automatic Reflection Removal Yu Li, Michael S. Brown