王伟

基本信息

教育背景

王伟、博导、国家级青年人才计划获得者

• 2022.08-今：北京交通大学教授、博导，信息科学研究所数字媒体信息处理研究中心，信息科学研究所副所长。
• 2020.08-2022.07：意大利特伦托大学(Università di Trento)助理教授。研究方向：计算机视觉，机器学习。
• 2018.07-2020.08：瑞士洛桑联邦理工大学(EPFL - École Polytechnique Fédérale de Lausanne) 博士后，导师Pascal Fua。
• 2016.06-2017.12：博士期间访问新加坡国立大学(NUS - National University of Singapore)，导师颜水成。
• 2013.09-2018.06：意大利特伦托大学，获博士学位，专业为信息与通信，导师为Nicu Sebe，研究方向为计算机视觉和机器学习。
• 2011.09-2013.06：南丹麦大学(University of Southern Denmark)，获工程理学硕士学位，专业方向为机电一体化。
• 2007.09-2011.06：西北工业大学理学院应用数学系，获理学学士学位。

新闻

• News!  [2026 July] One paper "SI-Edit: Toward Sketch-Instruction Guided Local Image Editing with Pixel-Level Precision" was accepted by ACM MM 2026. Congrats to Weixin.
• News!  [2026 Jun.] I will serve as the Senior Program Chair of AAAI (CCF-A) 2027!
• News!  [2026 Jun.] One paper "Beyond the Boundary: RL-Driven Solution Space Exploration for Blind Face Restoration" was accepted by ECCV 2026. Congrats to WuBin.
• News!  [2026 Jun.] 2023级硕士研究生何一康、高逸辰、王浩宇通过硕士学位论文答辩并取得硕士学位！
• News!  [2026 May.] I will serve as Co-Chair of YOCSEF X-Show in Sichuan 2026!
• News!  [2026 May.] I will serve as Area Chair of N**S 2026!
• News!  [2026 May.] One paper "Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers" was accepted by ICML 2026. Congrats to my first year Master student Chengxi.
• News!  [2026 Apr.] I have been elevated to IEEE Senior Member.
• News!  [2026 Mar.] One paper "Sharpness-aware Fine-Tuning for OOD Detection" was accepted by IEEE TIP 2026. Congrats to ZhangChi.
• News!  [2026 Feb.] One paper "All-in-One Slider for Attribute Manipulation in Diffusion Models" was accepted by CVPR 2026. Congrats to Weixin.
• News!  [2026 Jan.] I will serve as Area Chair of ICME (CCF-B) 2026!
• News!  [2025 Oct.] Chair of 2025 ICIG (International Conference on Image and Graphics) workshop: MLLM & AIGC Workshop;
• News!  [2025 Oct.] Chair of 2025 PRCV (Pattern Recognition and Computer Vision) workshop: 多模态垂域大模型技术与应用;
• News!  [2025 Oct.] One paper "A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models" was accepted by IEEE TPAMI 2025. Congrats to Weixin！
• News！[2025 Oct.] NeurIPS 论文接收，恭喜子翔！ 
  
• News!  [2025 Sep.] I will serve as the Senior Program Chair of AAAI (CCF-A) 2026!
• News!  [2025 Aug.] I will serve as Area Chair of PRCV (CCF-C) 2025!
• News!  [2025 Jun.] I will serve as Area Chair of ICMR (CCF-B) 2025!
• News!  [2025 May.] Chair of 2025 CCF 青年精英大会专题论坛“AIGC安全：生成内容的伪造检测与防护” ；
• News！[2024 Sep.] I will serve as Special Session Chair of ICSR 2024!
• News！[2024 Aug.] 加入 VALSE，增选为AC！
• News！[2024 Aug.] 加入 Yocsef，在CSIG铁道视频专委会作报告“人脸生成与编辑”！
• News!  [2024 July] 加入CCF/CSIG Multimedia 专委会！

工作经历

• 2022至今：北京交通大学，教授、博导；
• 2020-2022: 意大利特伦托大学(University of Trento, Italy)，助理教授(合作导师: Prof. Nicu Sebe, Prof. Elisa Ricci)
• 2018-2020: 瑞士洛桑联邦理工(EPFL, Switzerland)，博士后(合作导师: Prof. Pascal Fua, Mathieu Salzmann)

获奖与荣誉

• 2024年中国图象图形学学会高等教育教学成果激励计划 二等奖 
• 赵耀、白慧慧、刘美琴、韦世奎、王伟、陶仁帅；
• 2024年北京交通大学智瑾奖教金优秀青年教师；
• 2023年北京交通大学握奇奖教金；
• 2022年入选国家级青年人才引进计划；
• 2022年入选ELLIS欧洲学习和智能系统实验室成员；
• 2022年入选北京交通大学卓越百人计划；
• 2018年CSC “国家优秀自费留学生奖学金”；
• 2018年度意大利计算机视觉模式识别和机器学习协会优秀博士论文奖；
• 2018年度中国计算机协会CCF-A类国际顶级多媒体会议ACM MM 2018 最佳论文提名奖；
• 2017年度中国计算机协会CCF-A类国际顶级计算机视觉会议ICCV Doctoral Consortium优博论坛奖金；
• 2016年度欧盟Erasmus+ Mobility for Study项目；
• 2011年丹麦政府奖学金；

研究方向细化

计算机视觉：

• AIGC：图像/视频生成与风格转换 & 伪造图像检测;
• OOD 检测与域泛化;
• 人脸识别(人脸关键点检测，人脸表情合成);
• 人体(动作识别与行为预测);
• 图像分割与图像分类任务;
• 目标检测与识别;

机器学习：

• 类脑机器学习(卷积神经网络架构、迭代神经网络架构、新型Transformer架构);
• 生成式人工智能：扩散模型(Diffusion Model)、对抗生成网络(GAN)、神经辐射场(Nerf)；变分自编码器(VAE)；Transformer, etc.
• 基于数学方法的机器学习：Supervised Learning; Unsupervised Learning; Domain Adaptation; Multi-task Learning, etc.

招生专业：全日制硕士招生专业

• 学硕：081200 计算机科学与技术；
• 学硕：081100 控制科学与工程；
• 专硕：085401 新一代电子信息技术；
• 专硕：085404 计算机技术；
• 专硕：085410 人工智能；
• 博士可在上述几个方向中选择。

科研项目

• 主持北京市自然科学基金“海淀联合-重点”项目：面向安检场景的 X 射线图像可控生成与质量评估方法研究 2025～2028（100万）Project supported by the Natural Science Foundation of Beijing, China(Grant No. L252025)
• 主持国家自然科学基金“面上”项目：面向多维度和多模态的人脸智能编辑 2024～2027 （62.45万）Project supported by National NSF of China (No.62372033)
• 主持中央高校基本科研基金“计算机视觉” 2022-2026（100万）Supported by the Fundamental Research Funds for the Central Universities (No. 2022XKRC015) 已结题！
• 主持横向项目：智能制造-AI数据问答关键技术研发 2024-2025
• 参与国家自然科学基金“面上”项目：基于递归结构的遥感影像智能解译方法研究 2020～2024 （55.66万）National NSF of China (No.62171247)
  
• 参与欧盟地平线（EU Horizon）项目SPRING: Socially Pertinent Robots in Gerontological Healthcare 2020～2022 （830万欧元）
• 参与瑞士创新署项目 Tracking manipulated desktop objects for mixed reality environments（59万瑞士法郎） 2018～2022
• 参与瑞士创新署项目 Virtualization Solution for Garments/Fision (59万瑞士法郎) 2018～2019
• 参与欧盟地平线（EU Horizon）项目xLiMe: crossLingual crossMedia knowledge extraction 2019~2020 （390万欧元）

教学工作

M302004B 机器学习(本科生课程) 2025 秋季 计算机学院 任课老师：景丽萍、王伟
M302004B 汇编与接口技术(本科生课程)    2024/2025/2026 春季 计算机学院 任课老师：赵洪志、王伟
M410020B 数字图像处理(本科生课程)  2023 春季 新开课程 软件学院  任课老师：王伟
M502080B 生成式人工智能技术与应用(研究生课程)  课件here 视频here 2023、2024 秋季 新开课程 计算机学院 任课老师：王伟、魏云超

论文/期刊

Please refer to my Google Scholar for the full list.

Selected Journal Articles

• [IEEE TCSVT 2026] Jing Gao, Junyi Wu, Wei Wang*, Yan Yan, Yao Zhao. Post-training Quantization for Hybrid Iterative Generative Models. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2026.
• [IEEE TIP 2026] Chi Zhang, Wei Wang*, Yao Zhao, Nicu Sebe, Yue Song. Sharpness-aware Fine-Tuning for OOD Detection. IEEE Transactions on Image Processing (TIP), 2026.
• [IEEE TCSVT 2026] Yikang He, Jichao Zhang , Wei Wang*, Nicu Sebe, Yao Zhao. High-Fidelity 3D Facial Avatar Synthesis With Controllable Fine-Grained Expressions. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2026.
• [IEEE TMM 2026] Dong Yu,Yepeng Tang, Chunjie Zhang, Wei Wang, Guodong Yang, Xiaolong Zheng, Yao Zhao. IA2GNN: Imbalance-Aware Adaptive Graph Construction for Multi-Modal Image Fusion. IEEE Transactions on Multimedia (TMM). 2026.
• [IEEE TVCG 2026] Kuiyuan Sun, Yuxuan Zhang, Jichao Zhang, Jiaming Liu, Wei Wang*, Nicu Sebe, Yao Zhao*. Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model. IEEE Transactions on Visualization and Computer Graphics (TCVG), 2026.
• [IEEE TPAMI 2025] Weixin Ye, Wei Wang*, Yahui Liu, Yue Song, Bin Ren, Wei Bi, Rita Cucchiara, Nicu Sebe. A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models.  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
• [IEEE TIFS 2025]  Shuai Tang; Peisong He; Haoliang Li; Wei Wang; Xinghao Jiang; Yao Zhao. Towards Extensible Detection of AI-Generated Images via Content-Agnostic Adapter-Based Category-Aware Incremental Learning. IEEE Transactions on Information Forensics and Security (TIFS), 2025.
  
• [IEEE TPAMI 2024]  Yue Song, Wei Wang*, Nicu Sebe. RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
• [IEEE TPAMI 2023]  Yue Song, Nicu Sebe, Wei Wang. Orthogonal SVD Covariance Conditioning and Latent Disentanglement. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
• [IEEE TIP 2022] Yue Song, Hao Tang, Zhao Mengyi, Nicu Sebe, and Wei Wang. Quasi-equilibrium Feature Pyramid Network for Salient Object Detection. IEEE Transactions on Image Processing (TIP). 2022.
• [IEEE TPAMI 2022]  Yue Song, Nicu Sebe, Wei Wang. Fast Differentiable Matrix Square Root and Inverse Square Root. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
• [IEEE TIP 2022]  Jichao Zhang, Jingjing Chen, Hao Tang, Enver Sangineto, Peng Wu, Yan Yan, Nicu Sebe, Wei Wang*. Unsupervised High-Resolution Portrait Gaze Correction and Animation, IEEE Transactions on Image Processing (TIP), 2022.
• [IEEE TPAMI 2022]  Yue Song, Nicu Sebe, Wei Wang. On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. 
• [IEEE TPAMI 2021]  Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann. Robust Differentiable SVD. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

• [IEEE TMM 2020]  Wei Wang, X A.-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe. Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets. IEEE Transactions on Multimedia (TMM). 2020.
• [IEEE TPAMI 2019] Wei Wang, Yan Yan, Zhen Cui, Jiashi Feng, Shuicheng Yan, Nicu Sebe. Recurrent Face Aging with Hierarchical Autoregressive Memory. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
• [IEEE TPAMI 2018] Wei Wang, Sergey Tulyakov, Nicu Sebe. Recurrent Convolutional Shape Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
• [IEEE TIP 2018] Wei Wang, Yan Yan, F Nie, S Yan, Nicu Sebe. Flexible Manifold Learning with Optimal Graph for Image and Video Representation. IEEE Transactions on Image Processing (TIP). 2018
• [IEEE TIP 2016] Wei Wang, Yan Yan, S Winkler, Nicu Sebe. Category Specific Dictionary Learning for Attribute Specific Feature Selection. IEEE Transactions on Image Processing (TIP). 2016.

Selected Conference Proceedings (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACM MM)

• Weixin Ye, Wei Wang*, Hongguang Zhu, Xuecheng Nie. SI-Edit: Toward Sketch-Instruction Guided Local Image Editing with Pixel-Level Precision, ACM International Conference on Multimedia (ACM MM) 2026
• Chengxi Min, Wei Wang*, Yao Zhao. Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers. Forty-Third International Conference on Machine Learning (ICML), 2026.
• Weixin Ye, Honghuang Zhu, Wei Wang*, Yahui Liu, Mengyu Wang, Xuecheng Nie. All-in-One Slider for Attribute Manipulation in Diffusion Models. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
• Zixiang Li, Haoyu Wang, Wei Wang, Chuangchuang Tan, Yunchao Wei, Yao Zhao*. DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing. NeurIPS, 2025.
• Zixiang Li, Yue Song, R. Tao, Xiaohong Jia, Yao Zhao*, Wei Wang*. Unsupervised Region-Based Image Editing of Denoising Diffusion Models. AAAI, 2025.
• Y Hu, Y Lin, Wei Wang, Y Zhao, Y Wei, H Shi, Diffusion for natural image matting, European Conference on Computer Vision (ECCV), 181-199. 2024.
  
• Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei Wang*. Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
• Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang*. Householder Projector for Unsupervised Latent Semantics Discovery. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
• Yue Song, Nicu Sebe, Wei Wang*, RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection. Neural Information Processing Systems (NeurIPS), 2022
• Yue Song, Nicu Sebe, Wei Wang, Batch-efficient EigenDecomposition for Small and Medium Matrices. European Conference on Computer Vision (ECCV), 2022
• Yue Song, Nicu Sebe, Wei Wang, Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. European Conference on Computer Vision (ECCV), 2022
• Jichao Zhang, E Sangineto, H Tang, A Siarohin, Z Zhong, N Sebe, Wei Wang, 3D-Aware Semantic-Guided Generative Model for Human Synthesis. European Conference on Computer Vision (ECCV), 2022
• Yue Song, N Sebe, Wei Wang, Fast Differentiable Matrix Square Root. International Conference on Learning Representations (ICLR) 2022
• Yahui. Liu, E. Sangineto, Y. Chen, L. Bao, H. Zhang, N. Sebe, B. Lepri, Wei Wang*, and M. De Nadai*. Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
• Yue Song, N Sebe, Wei Wang, Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

• Y Hu, Wei Wang, P Fua, M Salzmann. Single-Stage 6D Object Pose Estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
• J. Zhang, J. Chen, H Tang, Wei Wang, Y Yan, E Sangineto, N Sebe. Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild. ACM International Conference on Multimedia (ACM MM), 2020. 
• Wei Wang, Z Dang, Y Hu, P Fua, M Salzmann. Backpropagation-Friendly Eigendecomposition. Neural Information Processing Systems (NeurIPS), 2019.
• Wei Wang, K Yu, J Hugonot, P Fua, M Salzmann. Recurrent U-Net for Resource-Constrained Segmentation. IEEE International Conference on Computer Vision (ICCV), 2019.
• H Tang, D Xu, Y Yan, Wei Wang, N Sebe. Cycle In Cycle GAN for Keypoint-Guided Image Generation. ACM International Conference on Multimedia (ACM MM), 2019.
  
• Wei Wang, X Pineda, D Xu, E Recci, N Sebe. Every Smile is Unique: Landmark-Guided Diverse Smile Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
• D Xu, Wei Wang, H Tang, H Liu, N Sebe, E Ricci. Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
• H Tang, Wei Wang, Dan Xu, Y Yan, N Sebe. GestureGAN for Hand Gesture-to-Gesture Translation in the Wild. ACM International Conference on Multimedia, (ACM MM)2018.
• S Xiao, J Feng, L Liu, X Nie, Wei Wang, S Yan, A Kassim, Recurrent 3D-2D Dual Learning for Large-pose Facial Landmark Detection. IEEE International Conference on Computer Vision (ICCV), 2017.
• X Li, Z Jie, Wei Wang, C Liu, J Yang, X Shen, Z Lin, Q Chen, S Yan, J Feng. FoveaNet: Perspective-aware Urban Scene Parsing. IEEE International Conference on Computer Vision (ICCV), 2017.
• S Liu, Y Sun, D Zhu, R Bao, Wei Wang, X Shu, S Yan. Face Aging with Contextural Generative Adversarial Nets. ACM International Conference on Multimedia (ACM MM), 2017.
• Wei Wang, Z Cui, Y Yan, J Feng, S Yan, X Shu, N Sebe. Recurrent Face Aging. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

博士生研究生培养

团队一直在成长，目前的团队成员列表更新于2026年1月。

在职博士生

      本硕博贯通-詹天佑学院

• 23级 杜怡峤 image generation group
• 22级 高静: deep learning group
• 21级 刘子健：deep learning group
• 20级 李子翔 (co-supervise)： image generation group

• 26级：闵承希（硕转博） deep learning group
• 25级：张静宜（硕转博） image generation group
• 25级：吴菲（直博） image generation group
• 24级：吴斌（考核）image generation group
• 23级：叶伟欣（考核）image generation group
• 23级：张驰（考核）deep learning group
• 在职研究生

• 23级：王浩宇：deep learnig group、何一康 image generation group、高逸辰 deep learning group
• 24级：李昂 deep learning group、王春阳  image generation group、郭志斌  image generation group
• 25级：常杰 deep learning group、马董清 deep learning group、 张雨馨 image generation group

服务器分配

• 096(3090*8)：张驰，王浩宇，叶伟欣，何一康，高逸辰，郭志斌，吴斌，李昂；
  
• 110(4090*8)：（共享 8 张）
  
• 111(4090*8)：王春阳、闵承希、马董清、常杰、吴菲；（共享余下 3 张）
• 119(4090*2)：刘子健，高静；
• 215(4090*4魔改卡)：张雨馨、张静宜
• 机动卡（2080Ti*4+4090*2or4）：;

毕业

• 刘亚辉：Università di Trento，华为天才计划获得者、腾讯技术大咖获得者；
• 唐浩：   Università di Trento，瑞士苏黎世联邦理工(ETHZ)博后，卡耐基梅隆大学(CMU)博后；
• 余开丞：EPFL，阿里星计划获得者，西湖大学AP；
• Sena Kiciroglu: EPFL，就职于Magic Leap
• Tim Lebailly: EPFL，KU Leuven 比利时鲁汶大学 博士
• 宋悦：加州理工博后
• 张继超：中国海洋大学
• 孙魁元

社会兼职

Selected Services

• 2026 ICME Area Chair
• 2025 PRCV Area Chair
• 2025 ICMR Area Chair
• 2022 ELLIS Member
• 2019 ICPR Associate Editor
• 2017 ICCV PC Member

Journal Reviewing Services

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• International Journal of Computer Vision (IJCV)
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Elsevier Journal of Computer Vision and Image Understanding (CVIU)
• IEEE Transactions on Multimedia (TMM)
• IEEE Transactions on Multimedia Computing Communications and Applications (TOMM)
• Elsevier Journal of Pattern Recognition (PR)
• Elsevier Journal of Neurocomputing (Neurocomputing)

Conference Reviewing Services

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018/2019/2020/2022)
• IEEE International Conference on Computer Vision (ICCV 2017/2019)
• European Conference on Computer Vision (ECCV 2018)
• ACM International Conference on Multimedia (ACM MM 2017/2019)
• International Joint Conference on Artificial Intelligence (IJCAI 2019)

大学生创新创业项目（候选题目）

2026大创

• 安卓APP：定制化数字人说话视频生成 项目人员：章静宜、蓝健榕
• 安卓APP：传统祭祀文化数字化平台设计 项目人员：孔丽雯，高语棠、吕豪杰；
• 软件：跨视角图像生成与编辑 项目人员：柴艺欣、黄吉喆
• 网页：海绵状脑血管瘤临床辅助智能体设计 项目人员：李咏宪，剩余2位同学招募中

• 软件：面向终端的人脸伪造检测 项目成员：徐培钧、王思然、杨开拓

• 高静：面向边缘计算的自回归生成模型轻量化设计与实现
• 包信涛：基于知识嵌入的智能体构建与性能研究
• 王子涵：面向影视创作的多模态智能体系统设计与实现 
• 雷佳林：面向数字孪生的无人机设计参数生成系统研究与实现

• 安卓APP：基于深度学习的人脸视频风格迁移 项目人员：孙方圆、王典、常初凡：国家级
• 软件：生成大模型辅助下的特定样本生成 项目人员：陈启睿：校级
• 软件：语言大模型赋能接口课程学习 项目人员：杜舒言、包信涛、黄鹏杰：市级
• 软件：在资源受限条件下的人脸生物信息识别技术 项目人员：赵俊鹏、周宇轩、白玛桑珠：校级
• 竞赛-华为挑战杯：面向新质生产力的AI质检助力制造业数智化创新 项目人员：杜佳佳、孙方圆、陈虹宇、陈昶文、李思颖：校级

• 基于深度学习模型的农作物DNA序列建模与多任务学习优化 刘子健
• 生成模型在跨域图像识别中的应用   张雨馨
• 语音驱动人脸生成模型的设计和实现 左绎未
• 基于梯度的生成图像伪影检测    鹿逸文
• 检索增强生成模型下的智能问答系统设计 马董清

• 生成大模型助力下的小目标识别  项目人员：陈武阳、张雨馨、黄吴铉  终评：校级
• 基于人体skeleton的动作识别  项目人员：雷星宇、张向鑫、祝国玺   终评：校级
• 安卓APP：基于深度学习的人脸图像风格转换 项目人员：张馨元、雷丽华、马董清  终评：市级

• 基于神经三平面表示的3D人脸编辑方法 张登甲；
• 基于深度学习的三维人体姿态估计 方晨芳；
• 语音驱动的说话人脸视频生成 何一康

个人简介

王伟，北京交通大学教授、博士生导师，国家级青年人才计划入选者，现任信息科学研究所副所长。本科毕业于西北工业大学，获南丹麦大学硕士及意大利特伦托大学博士学位，并曾在新加坡国立大学访学、瑞士洛桑联邦理工大学从事博士后研究，之后任意大利特伦托大学助理教授。

长期聚焦计算机视觉、机器学习与生成式人工智能，在生成式模型与Transformer架构设计方面开展了系统性工作，涵盖隐空间编辑、模型轻量化与高效位置编码与注意力机制等技术。他在CVPR、ICCV、NeurIPS、ICML等顶级会议及TPAMI、TIP等权威期刊发表论文近50篇，主持国家自然科学基金、北京市自然科学基金等重点项目，并深度参与了欧盟地平线及瑞士创新署重大研究计划。

凭借系列创新成果，荣获ACM MM最佳论文提名奖及意大利计算机视觉与机器学习协会最佳博士论文奖。王伟教授现任NeurIPS领域主席、AAAI高级程序委员，并当选IEEE高级会员。