韩文程

(教授)

 博士生导师  硕士生导师
教师姓名:韩文程
入职时间:2026-03
所在单位:控制科学与工程学院
学历:研究生(博士后)
办公地点:山东大学千佛山校区创新大厦B514
性别:男
联系方式:
学位:博士
职称:教授
毕业院校:澳门大学
学科:控制科学与工程

邮箱:

个人简介

韩文程 | Wencheng Han

山东大学 控制科学与工程学院 教授 | 博士生导师

国家级人才(海外优青)| 山东大学杰出中青年学者(第一层次)

Professor, School of Control Science and Engineering, Shandong University


个人简介 | Biography

现任山东大学控制科学与工程学院教授、博士生导师,国家级青年人才(海外优青),山东大学杰出中青年学者(第一层次)。2025年6月获澳门大学计算机科学博士学位,师从沈建冰教授;2025.06–2026.03在澳门大学物联网智慧城市国家重点实验室从事博士后研究。曾任职新浪微博推荐系统开发工程师。主要研究方向为计算机视觉、自动驾驶感知、机器人控制、医学影像分析与AIGC。


Professor & Ph.D. Supervisor at School of Control Science and Engineering, Shandong University. National High-Level Young Talent (Overseas). Received Ph.D. in Computer Science from University of Macau in 2025, and was a Postdoctoral Fellow at SKL-IOTSC, University of Macau from 2025 to 2026. My research interests include computer vision, autonomous driving, robot control, medical imaging and AIGC.


教育背景 | Education

博士,澳门大学科技学院计算机科学专业

2022.08 – 2025.06 | 导师:沈建冰教授

Ph.D. in Computer Science, FST, University of Macau


硕士,北京理工大学计算机科学与技术专业

2019.09 – 2022.06

M.Sc. in Computer Science and Technology, BIT


学士,山东大学数字媒体技术专业

2012.09 – 2016.06

B.Eng. in Digital Media Technology, SDU


工作经历 | Work Experience

教授、博士生导师,山东大学控制科学与工程学院

2026.03 – 至今

Professor & Ph.D. Supervisor, Shandong University


博士后,澳门大学物联网智慧城市国家重点实验室

2025.06 – 2026.03

Postdoctoral Fellow, SKL-IOTSC, University of Macau


系统开发工程师,新浪微博

2016.06 – 2019.08 | 北京

System Development Engineer, Sina Weibo, Beijing


研究领域 | Research Areas

自动驾驶 Autonomous Driving机器人控制 Robot Control计算机医学 Medical ComputingAIGC单目深度估计3D目标检测视觉跟踪医学影像分析


精选论文 | Selected Publications

  1. Wencheng Han, Jianbing Shen, David J. Crandall, Cheng-Zhong Xu. Reconstructing High Quality Raw Video Using Temporal Affinity and Diffusion Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

  2. Wencheng Han, Runzhou Tao, Haibin Ling, and Jianbing Shen. Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

  3. Wencheng Han, Xingping Dong, Yiyuan Zhang, David Crandall, Cheng-Zhong Xu, and Jianbing Shen. Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

  4. Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, and Jianbing Shen. Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  5. Wencheng Han, Junbo Yin, Jianbing Shen. Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network. IEEE/CVF International Conference on Computer Vision (ICCV), 2023.

  6. Wencheng Han, Jianbing Shen. High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior. European Conference on Computer Vision (ECCV), 2024.

  7. Wencheng Han, Junbo Yin, Xiaogang Jin, Xiangdong Dai, Jianbing Shen. BRNet: Exploring Comprehensive Features for Monocular Depth Estimation. European Conference on Computer Vision (ECCV), 2022.

  8. Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, and Jianbing Shen. DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving. AAAI Conference on Artificial Intelligence (AAAI), 2025.

  9. Wencheng Han, Chen Zhang, Yang Zhou, Wentao Liu, Chen Qian, Cheng-zhong Xu, Jianbing Shen. Prior Metadata-Driven RAW Reconstruction: Eliminating the Need for Per-Image Metadata. ACM International Conference on Multimedia (MM), 2024.

  10. Tianyi Yan, Wencheng Han (Co-first author), Xia Zhou, Xueyang Zhang, Kun Zhan, Cheng-zhong Xu, and Jianbing Shen. RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation. Advances in Neural Information Processing Systems (NeurIPS), 2025.

  11. Dongming Wu, Wencheng Han (Co-first author), Yingfei Liu, Tiancai Wang, Cheng-zhong Xu, Xiangyu Zhang, and Jianbing Shen. Language Prompt for Autonomous Driving. AAAI Conference on Artificial Intelligence (AAAI), 2025.

  12. Dubing Chen, Jin Fang, Wencheng Han, Xinjing Cheng, Junbo Yin, Chenzhong Xu, Fahad Shahbaz Khan, Jianbing Shen. ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction. IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

  13. Hongji Yang, Wencheng Han (Co-first author), Yucheng Zhou, and Jianbing Shen. DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models. IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

  14. Chen Zhang, Wencheng Han, Yang Zhou, Jianbing Shen, Cheng-zhong Xu, Wentao Liu. Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  15. Runzhou Tao, Wencheng Han, Zhongying Qiu, Cheng-zhong Xu, Jianbing Shen. Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  16. Huan Zheng, Wencheng Han, Jianbing Shen. Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-resolution. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  17. Tianyi Yan, Dongming Wu, Wencheng Han, Junpeng Jiang, Xia Zhou, Kun Zhan, Cheng-zhong Xu, and Jianbing Shen. DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  18. Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, and Jianbing Shen. Referring Multi-Object Tracking. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  19. Chunliang Li, Wencheng Han, Junbo Yin, Sanyuan Zhao, and Jianbing Shen. Repvf: A Unified Vector Fields Representation for Multi-task 3D Perception. European Conference on Computer Vision (ECCV), 2024.

  20. Hongji Yang, Yucheng Zhou, Wencheng Han, and Jianbing Shen. Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation. Findings of the Association for Computational Linguistics (ACL), 2025.


教育经历

[1] 2022.08-2025.06
澳门大学 | 计算机科学与技术 | 博士研究生毕业 | 博士 | 导师:沈建冰教授
[2] 2019.09-2022.06
北京理工大学 | 计算机科学与技术 | 硕士研究生毕业 | 硕士 | 导师:沈建冰教授,贾云得教授
[3] 2012.09-2016.06
山东大学 | 数字媒体技术和艺术 | 本科(学士) | 学士

工作经历

[1] 2025.06-2026.03
 澳门大学 
[2] 2017.01-2019.08
 微梦创科网络科技(中国)有限公司 

团队成员

团队名称:云脑智联团队