李重仪，南开大学教授、博士生导师，国家优秀青年科学基金（海外）、天津市杰出青年基金获得者，天津市视觉计算与智能感知重点实验室副主任，天津市青年科技工作者协会副主任委员，现领导PI Lab: 摄影与成像实验室。主要研究方向为人工智能、计算机视觉与机器学习，聚焦计算成像、图像增强与复原、图像生成与编辑、多模态大语言模型等，已在TPAMI、TIP、NeurIPS、ICML、CVPR、ICCV等国际顶级期刊与会议发表论文150余篇，谷歌学术引用超30000次，其中第一作者单篇最高引用超过2600次，成果包括30篇ESI高被引论文与10篇ESI热点论文、9篇论文入选Oral/Highlight/Spotlight、多篇论文入选TPAMI/TIP最受欢迎论、曾获IEEE信号处理学会（SPS）最佳论文奖、Engineering Applications of Artificial Intelligence最佳论文奖、MLMC最佳论文奖、Pattern Recognition最佳论文提名奖、世界人工智能大会青年优秀论文提名奖、《信号处理》优秀论文奖，授权国内外发明专利17项。研究成果已在华为国产AI平台、联发科天玑9300旗舰芯片、全球最大潜水社区PADI在线水下色彩还原系统、OPPO手机、腾讯生成大模型、商汤生成大模型、Stable Diffusion WebUI、新加坡Nanoveu、香港Perfection Aligner System等20余家国内外公司落地应用，并3次获得省部级科技论文一等奖、获得中国图象图形学学会自然科学奖二等奖（2）、中国汽车工程协会科技进步二等奖 （8）、3次获得中国人工智能学会昇思MindSpore学术基金（其中两次获评优秀项目）、获得华为产学研优秀合作项目奖、科普作品入选中国科协“科普中国”2026年中国优质科普资源。研究成果被中国日报、中国青年报、科技日报、中国新闻网、中国科技网、中国高新网、中国科学技术协会、天津市人民政府新闻办公室、中宏网、科学网、今晚报、津云新闻等媒体报道。他连续6年(2021-2026)入选斯坦福全球前2%顶尖科学家榜（包括年度及终身影响力榜单），连续两年（2024-2025）入选科睿唯安全球高被引科学家、连续3年（2023-2025）入选爱思唯尔中国高被引学者、入选2025年ScholarGPS全球前0.05%顶尖学者榜单，入选2026年度Research.com全球顶尖科学家排名。曾受中共中央委员会主办的《光明日报》邀请，撰写人工智能专题文章。作为技术嘉宾，参与央视总台“科晚”栏目，围绕“AI能否代写论文”等热点问题，分享技术视角下的观察与思考。2026年受新华社邀请，参与“论文AI生成率检测存在的问题和学术、社会影响”重大主题采访，作为计算机领域专家提供技术分析与政策建议，相关观点被纳入调研报道，为有关部门建言献策提供重要参考，报道取得良好传播效果。
近期代表性论文：
C. Li, C. Guo, R. Feng, S. Zhou, and C. C. Loy, CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment, In TPAMI, 2026.
C. Qin, Z. Zhang, Z. Chang, C. Guo, R. Wang, T. Hu, M. Cheng, and C. Li, Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement, In ECCV, 2026.
Y. Meng, C. Wu, X. Liu, C. Guo, Z. Liang, L. Lei, J. Liang, H. Zeng, C. Li, and L. Zhang, FlowPainter: Inpainting Optical Flow via Confidence-Guided Completion, In ECCV, 2026.
R. Wu, X. He, M. Cheng, T. Yang, Y. Zhang, Z. Kang, X. Cai, X. Wei, C. Guo, C. Li, and M. Cheng, Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory, In ICML, 2026.
S. Han, W. Liao, H. Fan, H. Dong, R. Zhang, C. Guo, and C. Li, DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution, In CVPR, 2026.
B. Xue, Z. Duan, Q. Yan, W. Wang, H. Liu, C. Guo, C. Li, C. Li, and J. Lyu, Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation, In CVPR, 2026.
T. Zhang, Z. Duan, C. Guo, P. Jiang, B. Li, M. Cheng, and C. Li, Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution, In CVPR, 2026.
C. Wu, L. Lei, F. Li, C. Guo, D. Kong, X. Qin, Z. Wang, M. Cheng, and C. Li, YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal, In CVPR, 2026.
C. Wu, J. Fu, C. Guo, S. Han, and C. Li⁺, VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation, In AAAI, 2026.
Z. Chang, Z. Duan, J. Zhang, C. Guo, S. Liu, H. Chun, H. Park, Z. Liu, and C. Li, PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouching, In AAAI, 2026.
S. Han, H. Fan, J. Fu, L. Li, T. Li, J. Cui, Y. Wang, Y. Tai, J. Sun, C. Guo, and C. Li, EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation, In AAAI, 2026.
S. Han, C. Wu, C. Guo, Z. Duan, Z. Li, M. Cheng, and C. Li. Accurate Motion Estimation with Bézier Control Point for Efficient Frame Interpolation. In TIP, 2026.
J. Yuan, Y. Li, Y. Zhang, C. Guo, X. Tang, R. Wang, and C. Li. 3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics-Based Appearance-Medium Decoupling. In TIP, 2026.
C. Wang, H. Li, C. Li, H. Liu, X. Tang, and S. Kwong. Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Dataset. In TIP, 2026.
W. Wen, T. Zhang, Q. Zhao, Z. Zheng, C. Guo, X. Shao, and C. Li, Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution. In TIP, 2026.
Y. Zhang, X. Jiang, C. L. Guo, X. Tang, G. Wang, W. Li, X. Liu, and C. Li, Boosting Guided Depth Super-Resolution Through Large Depth Estimation Model and Alignment-then-Fusion Strategy. In CVMJ (IF: 18.3), 2026.
Y. Meng, X. Jin, L. Lei, C. Guo, C. Li, UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes, In NeurIPS, 2025.
R. Wu, X. wang, L. Liu, C. Guo, J. Qiu, C. Li, L. Huang, Z. Su, and M. Cheng, DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data, In NeurIPS, 2025.
Z. Liang, Z. Li, S. Zhou, C. Li, and C. C. Loy, Control Color: Multimodal Diffusion-Based Interactive Image Colorization, IJCV, 2025.
J. Fu, C. Guo, and C. Li, DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models, In ACMMM (Oral), 2025.
Z. Duan, J. Zhang, X. Jin, Z. Zhang, Z. Xiong, D. Zou, J. Ren, C. Guo, and C. Li, DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution, In ICCV, 2025.
F. Ou, C. Li, S. Wang, S. Kwong, MR-FIQA: Face Image Quality Assessment with Multi-Reference Representations from Synthetic Data Generation, In ICCV, 2025.
J. He, C. Li, S. Wang, S. Kwong, Joint Semantic and Rendering Enhancements in 3D Gaussian Modeling with Anisotropic Local Encoding, In ICCV, 2025.
J. Fu, S. Liu, Z. Liu, C. Guo, H. Park, R. Wu, G. Wang, and C. Li, Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing. In CVPR, 2025.
X. Jin, S. Niklaus, Z. Zhang, Z. Xia, C. Guo, Y. Yang, J. Chen, and C. Li, Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable. In CVPR, 2025.
Z. Duan, J. Zhang, Z. Lin, X. Wang, D. Zhou, C. Guo, and C. Li, DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts. In AAAI, 2025.
Z. Duan, J. Zhang, S. Liu, Z. Lin, C. Guo, D. Zhou, J. Ren, and C. Li, A Diffusion-Based Framework for Occluded Object Movement. In AAAI, 2025.
S. Liu, Z. Duan, J. Ouyang, J. Fu, H. Park, Z. Liu, C. Guo, and C. Li, FaceMe: Robust Blind Face Restoration With Personal Identification. In AAAI, 2025.
L. Chen, Y. Huang, J. Dong, Q. Xu, S. Kwong, H. Lu, H. Lu, and C. Li, Deep Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. In CSUR (IF: 28), 2025.
J. He, C. Li, S. Wang, and S. Kwong, Improving Point Cloud Robustness Through Perturbation Simulation and Distortion-Guided Feature Augmentation. In TIP, 2025.
M. Zha, G. Wang, Y. Pei, T. Li, X. Tang, C. Li, Y. Yang, and H. Shen, Heterogeneous Experts and Hierarchical Perception for Underwater Salient Object Detection. In TIP, 2025.
Q. Jiang, Y. Gu, Z. Wu, C. Li, H. Xiong, F. Shao, and Z. Wang, Deep Underwater Image Quality Assessment with Explicit Degradation Awareness Embedding. In TIP, 2025.
Y. Dai, C. Li, S. Zhou, R. Feng, and C. C. Loy, Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond. In TPAMI, 2024.
Y. Wu, G. Wang, S. Liu, Y. Yang, W. Li, X. Tang, S. Gu, C. Li, and H. Shen, Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration. In TPAMI, 2024.
X. Jin, P. Jiao, Z. Duan, X. Yang, C. Li, C. Guo, and B. Ren, Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis. In NeurIPS, 2024.
F. Ou, C. Li, S. Wang, and S. Kwong, CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration. In CVPR, 2024.
R. Wu, L. Chen, T. Yang, C. Guo, C. Li, and X. Zhang, LAMP: Learn A Motion Pattern for Few-Shot Video Generation. In CVPR, 2024.
Y. Dai, S. Zhou, Q. Li, C. Li, and C. C. Loy, Learning Inclusion Matching for Animation Paint Bucket Colorization. In CVPR, 2024.
X. Lv, S. Zhang, C. Wang, Y. Zheng, B. Zhong, C. Li, and L. Nie, Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring. In CVPR, 2024.
R. Feng, C. Li, and C. C. Loy, Kalman-Inspired Feature Propagation for Video Face Super-Resolution. In ECCV, 2024.
C. Qin, R. Wu, Z. Liu, X. Lin, C. Guo, H. H. Park, and C. Li, Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration. In ECCV, 2024.
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