博士、副教授，博士生导师。2019 年于西安电子科技大学获工学博士学位，2020年1月起在西安电子科技大学计算机科学与技术学院任教。现担任西安市大数据与视觉智能关键技术重点实验室副主任、CCF高级会员、CCF YOCSEF西安AC委员。主要研究方向为计算机视觉、深度学习、图像增强和人体行为/手势识别。近年来在 International Journal of Computer Vision（CCF A类，中科院一区）、IEEE Trans. on Cybernetics（CCF B类、中科院一区）、Trans. on Multimedia （CCF B类、中科院一区）、Trans. on Circuits and Systems for Video Technology（CCF B类、中科院一区）、 ICCV （CCF A类会议）、AAAI（CCF A类会议）等国际顶级期刊/会议上发表论文40余篇，其中一作/通讯30篇。主持和参与国家级及省部级项目10余项。受邀担任Pattern Recognition、IEEE T-MM、T-CSVT、T-ITS、Neurocomputing、CVPR、ICCV、AAAI、ECCV、ICME等国际顶级期刊和会议审稿人。入选2025年度陕西高校优秀青年人才支持计划，获2022/2020 ACM China新星/优博奖、2021年度中国电子学会优秀博士论文（全国26人）、2022年度陕西省计算机学会科技进步二等奖（排名第2）、2021年陕西省计算机学会“计算机领域优秀青年专家”、2020年（首届）陕西省计算机学会优秀博士论文（全省10人)等荣誉称号；获得2016、2017连续两届Chalearn国际大规模独立手势识别竞赛冠军及第十届中国大学生服务外包创新创业大赛创业实践类一等奖。指导学生获得MiGA-IJCAI微手势及微表情识别竞赛亚军、季军各一项，ICPR 2024 Multi-modal Action Recognition冠军、AAAI 2024 Multi-modal Learning for Audio-driven Talking Head Generation冠军、第九届中国国际“互联网+”大学生创新创业大赛陕西赛区省级银奖、中国大学生服务外包创新创业大赛全国一等奖等多项奖励。

研究方向：

1. 手语识别与生成
   

2. 人体行为/手势识别
   

3. 恶劣天气下图像增强

4. 跨模态面部/手语动画生成
   

5. 图像风格迁移

主要论文：

• Guanwen Feng, Zhihao Qian, Yunan Li*, Siyu Jin, Qiguang Miao*, Chi-Man Pun. LES-Talker: Fine-grained emotion editing for talking head generation in linear emotion space. IEEE Transactions on Affective Computing. 2026.  (CCF B类，情感计算与多媒体顶级期刊)

• Guanwen Feng, Haoran Cheng, Yunan Li*, Zhiyuan Ma, Chaoneng Li, Zhihao Qian, Qiguang Miao, Chi-Man Pun. EmoSpeaker: One-shot fine-grained emotion-controlled talking face generation. IEEE Transactions on Multimedia. 2026. [full_text][project] (CCF A类，多媒体顶级期刊)

• Xi Geng, Yunan Li(共一), Zhuoqi Ma, Zixiang Lu, Qiguang Miao. No blind alignment but generation: A different view of continuous sign language recognition based on diffusion. Pattern Recognition. 2026: 169, 111960. 

• Yunan Li, Xi Geng, Zhuoqi Ma, Qiguang Miao, Chi-Man Pun. Boundary-Aware Sentence-Gloss Alignment with Semantic Similarity Measurement for Continuous Sign Language Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 2025. 

• Guanwen Feng, Yilin Zhang, Yunan Li, Siyu Jin, Qiguang Miao. Gaussian-Face: Talking Head Generation with Hybrid Density via 3D Gaussian Splatting. ICASSP. 2025.  (CCF B类，语音与信号处理领域重要会议)

• Yuanyuan Shi, Yunan Li*, Siyu Liang Huizhou Chen, Qiguang Miao*. MGR-Dark: A Large Multimodal Video Dataset and RGB-IR Benchmark for Gesture Recognition in Darkness. ACM MM. 2024: 2321-2330. [full_text] (CCF A类，计算机视觉顶级会议) 

• Yunan Li, Yihao Zhang, Shoude Li, et al. Watching it in Dark: A Target-Aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination. ECCV, 2024: 37-53.  [full_text][code]  (CCF B类，计算机视觉顶级会议) 
  

• Yunan Li, Huizhou Chen, Guanwen Feng, Qiguang Miao. Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition. Proceedings of the IEEE Conference on Computer Vision. 2023:20968-20978. [full_text] (CCF A类，计算机视觉顶级会议) 

• Yunan Li, Tianyu Qi, Zhuoqi Ma, Dou Quan, Qiguang Miao. Seeking a Hierarchical Prototype for Multimodal Gesture Recognition. IEEE Transactions on Neural Networks and Learning Systems. 2023. [full_text] 

• Yuanyuan Shi, Xiaolong Fu, Yunan Li, Kaibin Miao, Xiangzeng Liu, Bocheng Zhao, Qiguang Miao. A Semi-Supervised Underexposed Image Enhancement Network with Supervised Context Attention and Multi-Exposure Fusion. IEEE Transactions on Multimedia. [full_text]

• Yunan Li, Huizhou Chen, Qiguang Miao, Daohui Ge, Siyu Liang, Zhuoqi Ma, Bocheng Zhao. "Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation With a Weakly Supervised Framework." IEEE Transactions on Multimedia. 2023, vol.5:4704 - 4717. [full_text]

• Yu Dong, Yunan Li, Qian Dong, He Zhang, Shifeng Chen. "Semi-Supervised Domain Alignment Learning for Single Image Dehazing". IEEE Transactions on Cybernetics. 2023, 53(11):7238 - 7250. [full_text]

• Benjia Zhou#, Yunan Li#, Jun Wan. “Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition.” AAAI Conference on Artificial Intelligence. 2021.

• Yunan Li, Jun Wan, Qiguang Miao, Sergio Escalera, Huijuan Fang, Huizhou Chen, Xiangda Qi, Guodong Guo. “CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis.” International Journal of Computer Vision. 2020, 128(12): 2763-2780. [full_text][project]

• Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yining Quan. “LAP-Net: Level-Aware Progressive Network for Image Dehazing”, Proceedings of the IEEE Conference on Computer Vision. 2019: 3276-3285. 

• Yunan Li, Qiguang Miao, Kuan Tian, Yingying Fan, Xin Xu, Rui Li, Jianfeng Song. “Large-scale Gesture Recognition with a Fusion of RGB-D Data Based on Saliency Theory and C3D model.” IEEE Transactions on Circuits and Systems for Video Technology. 2018, 28(10): 2956 - 2964.

• Qiguang Miao, Yunan Li, Xiangzeng Liu, Ruyi Liu. Gesture Recognition: Theory and Applications. Elsevier. 2024.05.

• 苗启广，李宇楠，刘向增，刘如意. 手势识别技术理论及应用. 西安：西安电子科技大学出版社. 2022.07.（获2021年国家科学技术学术著作出版基金资助）

更多工作见 【Google Scholar】【DBLP】

招生信息：

招生专业为计算机科学与技术（博士生，学术型硕士研究生）和电子信息（专业型硕士研究生）

每年招收人数1~2人，欢迎校内外保研、优研以及统考学生报考或咨询。

热爱科研，具有独立思考能力，数学功底好、编程能力强优先。

同时欢迎对计算机视觉有兴趣的本科生进组实习交流！

邮箱 : aa2302df5e005d4951b2940719b384468aff3003e025fd322efab03da947ce77eeb09a9b150071f81870c43185a572039543a081db87f76e34e2a7736fd5191539258736091bf4de853c74f94d6cf6fefd933df7bf0f5a23d13ef3be1e47b7afff678322cc9d2cf506aece1ef5ae2db4542e0aa1f58e0bac7133dc2b218576c3

通讯/办公地址 : 0935ee5beafec4f34177d6b76a3d44180d6b666520d67c921eccf6c1a8769dd45db17b2fcb1233ee3decbf344889d5321ecf1e09d1fbe03cea465173c5b943ca0fe66b3be2a09c2c4df261020c86cbabf1c12b6e3d961fdce17e3a2da1e96e1e935325e30b250f9ef8d5f1cf78803d4121c9afb89742ff99dd64d2c615a987f2

邮编 : 130dcc7327ba53e37051315a5353cef895288983550b8b0c018caf31802218182536f89ff78fcc38fa478e105a9a8d3b0e9f2513d24d74e7df91f06222cdc971b233b1e859a28fd9bac8bcf0c18fb90427595ec739019c1f031f00b25f32d8d8533d52d3f384b80ceae190c72987249dcb63ee35151cdf46d7c4e022c65455b6

[1] 2015.09 -- 至今
1872     计算机应用技术     工学博士学位     硕博连读

[2] 2010.08 -- 至今
1872     计算机科学与技术     工学学士学位     教改班

• 计算机视觉、机器学习