韦炎炎，讲师，硕士生导师，ACM/CCF/CSIG/CAAI会员，2022年12月获得工学博士学位（导师：汪萌教授、张召教授）。2023年6月起在合肥工业大学计算机与信息学院智科系任讲师。研究方向包括：1）鲁棒视觉感知增强与理解；2）大模型生成技术；3）多智能体应用；4）AI+X。

目前已在IEEE TIP/IEEE TMM/ACM TOMM/PR/CVIU/AAAI/WWW/ACM MM/ICMR/ICDM/ICASSP等期刊和会议上发表论文30余篇，Google Scholar总引用860余次，H-index为15；获CVPR/IJCAI/WWW等国际竞赛奖励5项；申请中国发明专利7项（已授权2项）。主持重点项目子课题1项，安徽省面上项目1项，工业安全与应急技术安徽省重点实验室项目1项，参与国家自然科学基金项目3项，担任AAAI 2024 程序委员会委员，IJCV/IEEE TIP/IEEE TMM/IEEE TCSVT/CVPR/ICCV/ECCV/ICLR/AAAI/IJCAI/ACM MM等期刊与会议的审稿人。

所在团队为合肥工业大学计算机与信息学院（人工智能学院）媒体计算实验室（Laboratory of Multimedia Computing，LMC）。欢迎对科研感兴趣的研究生和本科生加入，团队氛围轻松，老师师兄悉心指导。此外，每年也会参加国内外竞赛和创新创业项目，欢迎有自驱力的同学加入！（联系邮箱：weiyy@hfut.edu.cn，WeChat：hfut_wei）。

谷歌学术：https://scholar.google.com/citations?user=pjEvug0AAAAJ&hl=zh-CN

# 欢迎感兴趣的保研同学（将于2025级9月入学）通过邮件发送简历进行联系（邮箱：weiyy@hfut.edu.cn），可提前加入团队交流和学习。

# 25年还有硕士生名额，可通过邮件发送简历进行联系（邮箱：weiyy@hfut.edu.cn）。

NEWS！

2025.01 Participated in the Cross-View Isolated Sign Language Recognition Challenge (WWW 2025) and won the 3rd Place.

2024.12 Three papers was accepted by ICASSP 2025 (CCF-B).

2024.12 Served as an organizing committee member of the AACI Excellent Ph.D. Students Forum.

2024.12 One paper was accepted by AAAI 2025 (CCF-A).

2024.11 One paper was accepted by CVIU (CCF-B，SCI三区).

2024.10 One paper was accepted by MMAsia 2025 (CCF-C).

2024.06 Participated in the 2nd MiGA-IJCAI Challenge Track 2: Micro-gesture Online Recognition and won the 2nd Place.

2024.05 One paper was accepted by ACM ICMR workshop 2024 (CCF-B).

2024.04 Participated in multiple tracks of CVPR 2024 NTIRE/MIPI competition (2nd Place in Image Shadow Removal Track，4th Place in Nighttime Flare Removal Track).

2024.02 One paper was accepted by IEEE TMM (CCF-B, SCI一区, IF:7.3).

2023.09 Participated as a volunteer in the 26^th Computer Science Dean Forum (CSDF).

2023.06 One survey paper was accepted by Pattern Recognition！(CCF-B, SCI一区, IF:8.4).

Selected Publications：

[8] Yanyan Wei, Yilin Zhang, Zhao Zhang*, Kun Li, Fei Wang, Shengeng Tang, "Leveraging Vision-language Prompts for Real-world Image Restoration and Enhancement," Computer Vision and Image Understanding (CVIU), 250: 104222, Oct 2024.

[7] Junhu Wang^#, Yanyan Wei^#, Zhao Zhang*, Jicong Fan, Yang Zhao*, Yi Yang and Meng Wang, "Progressive Stereo Image Dehazing Network via Cross-view Region Interaction", IEEE Transactions on Multimedia (IEEE TMM), Feb 2024.

[6] Zhao Zhang*, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan and Meng Wang, "Data-Driven Single Image Deraining: A Comprehensive Review and New Perspectives", Pattern Recognition (Pattern Recognition), vol.143, no.6, pp.1-23, June 2023.

[5] Yanyan Wei, Zhao Zhang*, Huan Zheng, Richang Hong, Yi Yang and Meng Wang, “SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation”, in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pages 6202–6210, 2022.

[4] Yanyan Wei, Zhao Zhang*, Mingliang Xu, Richang Hong, Jicong Fan and Shuicheng Yan, “Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal”, in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pages 6464–6472, 2022.

[3] Yanyan Wei, Zhao Zhang*, Yang Wang*, Mingliang Xu, Yi Yang, Shuicheng Yan and Meng Wang, “DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking”, IEEE Transactions on Image Processing (IEEE TIP), 30:4788–4801, 2021.

[2] Yanyan Wei, Zhao Zhang*, Yang Wang, Haijun Zhang, Mingbo Zhao, Mingliang Xu* and Meng Wang, “Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network”, in Proceedings of the 2021 IEEE International Conference on Multimedia and Expo (IEEE ICME), pages 1–6, 2021. 

[1] Yanyan Wei, Zhao Zhang*, Haijun Zhang, Richang Hong and Meng Wang, “A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining”, in Proceedings of the 2019 IEEE International Conference on Data Mining (IEEE ICDM), pages 628–637, 2019.

指导本科生：

获奖：

[1] 中国大学生计算机设计大赛，省级三等奖，2024年

[2] 中国人工智能与机器人大赛，省级三等奖，2024年

[3] 全国高校计算机能力挑战赛，国赛一等奖，2024年

[4] 全国高校计算机能力挑战赛，国赛二等奖，2024年

大创：

[1] 机场跑道异物（FOD）智能检测定位系统，省级大创，2024年

[2] 基于大模型的监控图像自适应增强系统，校级大创，2024年