Li, Cheng

50 publications

AAAI 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li

AAAI 2025 De-Singularity Subgradient for the Q-Th-Powered Lₚ-Norm Weber Location Problem Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

CVPRW 2025 Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report Andrey Ignatov, Georgy Perevozchikov, Radu Timofte, Cheng Li, Lian Liu, Jun Cao, Heng Sun, Wu Pan, Song Wang, Keqiang Yu, Shuo Liu, Hongqin He, Zhenhao Dong, Jianke Chen, Dejun Hao, Keqiang Yu, Tingniao Wang, Xiaoqing Zhou, Dong Zhang, Chunxia Zhang, Jianguang He, Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Ce Zhu, Le Zhang, Andrei Arhire, Shuo Liu, Junpyo Seo, Fen Xie, Xiuzhi Fang, Chen Wu, Zhangsheng Wang, Pengbo Zhang, Jiazi Huang

CVPRW 2025 NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution Marcos V. Conde, Radu Timofte, Zihao Lu, Xiangyu Kong, Xiaoxia Xing, Fan Wang, Suejin Han, MinKyu Park, Tianyu Hao, Yuhong He, Ruoqi Li, Yueqi Yang, Jianyang Yu, Kele Xu, Zisheng Xu, Yong Dou, Watchara Ruangsang, Ruixuan Jiang, Senyan Xu, Siyuan Jiang, Xueyang Fu, Zheng-Jun Zha, Jiajie Lu, Xiang Yu, Minmin Yi, Yuanjia Chen, Liwen Zhang, Zijie Jin, Tianyu Zhang, Xin Lu, Yeda Chen, Dong Liu, Li Pang, Yuhang Yang, Hongzhong Wang, Xiangyong Cao, Cheng Li, Lian Liu, Wei Song, Heng Sun, Yubo Wang, Jinghua Wang, Guanlan Hong

AAAI 2025 World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving Mingliang Zhai, Cheng Li, Zengyuan Guo, Ningrui Yang, Xiameng Qin, Sanyuan Zhao, Junyu Han, Ji Tao, Yuwei Wu, Yunde Jia

NeurIPS 2025 rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Cheng Li, Mao Yang

NeurIPS 2024 A Globally Optimal Portfolio for M-Sparse Sharpe Ratio Maximization Yizun Lin, Zhao-Rong Lai, Cheng Li

ECCVW 2024 AIM 2024 Challenge on UHD Blind Photo Quality Assessment Vlad Hosu, Marcos V. Conde, Lorenzo Agnolucci, Nabajeet Barman, Saman Zadtootaghaj, Radu Timofte, Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai, Songbai Tan, Lixin Zhang, Guanghui Yue, Daekyu Kwon, Dongyoung Kim, Seon Joo Kim, Yunchen Zhang, Xiangkai Xu, Hong Gao, Yiming Bao, Ji Shi, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Zewen Chen, Shunhan Xu, Haochen Guo, Yun Zeng, Shuai Liu, Jian Guo, Juan Wang, Bing Li, Dehua Liu, Hesong Liu, Grigory Malivenko, Asile Gerek, Xingyuan Ma, Cheng Li, Joonhee Lee, Junseo Bang, Se Young Chun

ICML 2024 Autonomous Sparse Mean-CVaR Portfolio Optimization Yizun Lin, Yangyu Zhang, Zhao-Rong Lai, Cheng Li

NeurIPS 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie

NeurIPS 2024 CulturePark: Boosting Cross-Cultural Understanding in Large Language Models Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang

AAAI 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He

AAAI 2024 Exploring Post-Training Quantization in LLMs from Comprehensive Study to Low Rank Compensation Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He

CVPRW 2024 MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangcheng Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal

IJCAI 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu

ECCV 2024 Physical-Based Event Camera Simulator Haiqian Han, Jiacheng Lyu, Jianing Li, Henglu Wei, Cheng Li, Yajing Wei, Shu Chen, Xiangyang Ji

AAAI 2024 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple yet Effective Approach Ziyin Zhang, Ning Lu, Minghui Liao, Yongshuai Huang, Cheng Li, Min Wang, Wei Peng

ICML 2024 The Good, the Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

ICLR 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-Design Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan

CVPRW 2023 NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

CVPR 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong

CVPR 2023 Toward RAW Object Detection: A New Benchmark and a New Model Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang, Fenglong Song, Youliang Yan, Zhiwei Xiong

ICML 2023 Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He

AAAI 2023 Unsupervised Paraphrasing Under Syntax Knowledge Tianyuan Liu, Yuqing Sun, Jiaqi Wu, Xi Xu, Yuchen Han, Cheng Li, Bin Gong

AAAI 2022 Deep Spatial Adaptive Network for Real Image Demosaicing Tao Zhang, Ying Fu, Cheng Li

JMLR 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava

ECCVW 2022 Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

CVPR 2021 Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion Matteo Maggioni, Yibin Huang, Cheng Li, Shuai Xiao, Zhongqian Fu, Fenglong Song

ICCV 2021 Hyperspectral Image Denoising with Realistic Data Tao Zhang, Ying Fu, Cheng Li

ICCV 2021 VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang

AISTATS 2020 Accelerated Bayesian Optimisation Through Weight-Prior Tuning Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak

ICLRW 2019 Disentangling Content and Style via Unsupervised Geometry Distillation Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy

ECML-PKDD 2019 Learning to Calibrate and Rerank Multi-Label Predictions Cheng Li, Virgil Pavlu, Javed A. Aslam, Bingyu Wang, Kechen Qin

AAAI 2018 A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu

AAAI 2018 Merge or Not? Learning to Group Faces via Imitation Learning Yue He, Kaidi Cao, Cheng Li, Chen Change Loy

ECCV 2018 ReenactGAN: Learning to Reenact Faces via Boundary Transfer Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, Chen Change Loy

JMLR 2018 Scalable Bayes via Barycenter in Wasserstein Space Sanvesh Srivastava, Cheng Li, David B. Dunson

ECCV 2018 The Devil of Face Recognition Is in the Noise Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy

NeurIPS 2017 From Which World Is Your Graph Cheng Li, Felix MF Wong, Zhenming Liu, Varun Kanade

IJCAI 2017 High Dimensional Bayesian Optimization Using Dropout Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton

ICML 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh

ACML 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

CVPR 2017 Residual Attention Network for Image Classification Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang

ACML 2016 A Bayesian Nonparametric Approach for Multi-Label Classification Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

ICML 2016 Conditional Bernoulli Mixtures for Multi-Label Classification Cheng Li, Bingyu Wang, Virgil Pavlu, Javed Aslam

CVPR 2016 Unconstrained Face Alignment via Cascaded Compositional Learning Shizhan Zhu, Cheng Li, Chen-Change Loy, Xiaoou Tang

CVPR 2015 Face Alignment by Coarse-to-Fine Shape Searching Shizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang

COLT 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking Cheng Li, Wenxin Jiang, Martin A. Tanner

ICCV 2013 Model Recommendation with Virtual Probes for Egocentric Hand Detection Cheng Li, Kris M. Kitani

CVPR 2013 Pixel-Level Hand Detection in Ego-Centric Videos Cheng Li, Kris M. Kitani