王岩，清华大学智能产业研究院助理研究员/助理教授，主要研究兴趣为生成模型在数据压缩、自动驾驶和具身智能等领域的应用。曾任商汤科技高级研究员，带领团队在目标检测、模型压缩和数据压缩等方向进行技术研究和产品开发。在人工智能、计算流体力学和公共安全等领域具备丰富的交叉学科知识和研究经历。

个人主页：

https://yanwang202199.github.io

邮箱地址：

wangyan@air.tsinghua.edu.cn

教育经历：

2014-2019 清华大学 安全科学与工程 博士

2017-2018 康奈尔大学 土木与环境工程 访问博士生

2010-2014 清华大学 工程物理 学士

工作经历：

2022-至今 清华大学智能产业研究院 助理研究员/助理教授

2019-2021 商汤科技 研究员、高级研究员

研究领域：

数据压缩、自动驾驶、具身智能中的生成模型

代表性论文：

1. Zeng, Fanhu, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang. MambaIC: State Space Models for High-Performance Learned Image Compression, CVPR, 2025.

2. Xu, Tongda, Jiahao Li, Bin Li, Yan Wang, Ya-Qin Zhang, Yan Lu. PICD: Versatile Perceptual Image Compression with Diffusion Rendering, CVPR 2025.

3. Xu, Tongda, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, and Yan Wang. Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior, ICLR, 2025.

4. Li, Xiang, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, and Yilun Chen. Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving, ICLR, 2025.

5. Zhang, Xinjie, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, and Jun Zhang. Content-aware Masked Image Modeling Transformer for Stereo Image Compression, AAAI, 2025.

6. Chen, Yuan, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, and Si Liu. Asynchronous Large Language Model Enhanced Planner for Autonomous Driving, ECCV, 2024.

7. Du, Penghui, Yu Wang, Yifan Sun, Luting Wang, Yue Liao, Gang Zhang, Errui Ding, Yan Wang, Jingdong Wang, and Si Liu. LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction, ECCV, 2024.

8. Zhang, Xinjie, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, and Jun Zhang. GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting, ECCV, 2024.

9. Zhang, Xinjie, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, and Jun Zhang. Boosting Neural Representations for Videos with a Conditional Decoder, CVPR, 2024. Highlight.

10. Ge, Xingtong, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, and Hongwei Qin. Task-Aware Encoder Control for Deep Video Compression, CVPR, 2024.

11. Tongda Xu, Dailan He, Ziran Zhu, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang, Idempotence and Perceptual Image Compression, ICLR, 2024. spotlight.

12. Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang, Idempotent Learned Image Compression with Right-Inverse, NeurIPS, 2023.

13. Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing, Ya-Qin Zhang, Bit allocation using optimization, ICML, 2023.

14. Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin, Multi-Sample Training for Neural Image Compression, NeurIPS, 2022.

15. Chenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Flexible Neural Image Compression via Code Editing, NeurIPS, 2022.

16. Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang, Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain, CVPR, 2022.

17. Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang, ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding, CVPR, 2022. oral.

18. Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin, Checkerboard context model for efficient learned image compression, CVPR, 2021.

19. Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan, Fully quantized network for object detection, CVPR, 2019.

主要荣誉：

2022 CVPR CLIC图像压缩竞赛冠军

2018 ISCRAM 最佳论文奖

2018 商汤科技未来之星奖

2014 清华大学博士生未来学者奖学金