我是华东理工大学讲师。2025年于华中科技大学获工学博士学位，师从白翔教授。主要研究方向为计算机视觉、文档智能理解和多模态大模型等。以第一（含共一）/通讯作者发表高水平论文近十篇，包括CCF-A类人工智能领域顶刊TPAMI，以及计算机视觉领域顶会CVPR和ICCV，谷歌学术论文总引用
📌 Research Interests
研究方向主要聚焦于智能信息处理、计算机视觉、场景文字检测与识别、文档智能、多模态大模型等前沿研究。研究工作不仅发表在TPAMI、CVPR、ICCV 等顶级期刊/会议上，也在产业中服务于千行百业，此前主导研发的文字识别算法落地企业，年均调用量2.4亿次。
希望招募诚实严谨、基础扎实、愿意钻研、主动积极、对AI充满好奇心的学生。如果你热爱科研、善于思考、愿意突破自我，将会为你提供充足的平台与支持，包括系统的科研训练、论文写作指导，学术合作、外部交流与实习机会等。
诚挚期待有自驱力的本科生、研究生，以及访问实习生加入。如果您对我的研究方向感兴趣，欢迎将您的简历发送给我。 如有潜在合作意向，可通过邮箱与我联系。🤝
📝 Publications
-
Wenwen Yu, Yuliang Liu*, Xingkui Zhu, Haoyu Cao, Xing Sun, Xiang Bai. Turning a CLIP Model into a Scene Text Spotter. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 (CCF-A; SCI Q1; IF = 20.8; )
-
Wenwen Yu, Zhibo Yang, Jianqiang Wan, Sibo Song, Jun Tang, Wenqing Cheng, Yuliang Liu, Xiang Bai*. OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026 (CCF-A; SCI Q1; IF = 18.6; )
-
Wenwen Yu#, Yuliang Liu#, Wei Hua, Deqiang Jiang, Bo Ren, Xiang Bai*. Turning a CLIP Model into a Scene Text Detector. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF-A; ;
)
-
Wenwen Yu, Zhibo Yang, Yuliang Liu, Xiang Bai* DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding. International Conference on Computer Vision (ICCV), 2025. (CCF-A; )
-
Ning Lu#, Wenwen Yu#*, Xianbiao Qi, Yihao Chen, Ping Gong, Rong Xiao, Xiang Bai. MASTER: Multi-Aspect Non-local Network for Scene Text Recognition. Pattern Recognition (PR), 2021. (CCF-B; SCI Q1; IF = 8.5; ;
; Corresponding author)
-
Wenwen Yu#*, Ning Lu#, Xianbiao Qi, Ping Gong, Rong Xiao. PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks. International Conference on Pattern Recognition (ICPR), 2020. (CCF-C; ;
)
-
Wenwen Yu#, Chengquan Zhang#, Haoyu Cao#, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Ming Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai*. ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. International Conference on Document Analysis and Recognition (ICDAR), 2023. (CCF-C; )
-
Wenwen Yu, Mingyu Liu, Mingrui Chen, Ning Lu, Yinlong Wen, Yuliang Liu, Dimosthenis Karatzas, Xiang Bai*. ICDAR 2023 Competition on Reading the Seal Title. International Conference on Document Analysis and Recognition (ICDAR), 2023. (CCF-C; )
-
Jianqiang Wan#, Sibo Song#, Wenwen Yu#, Yuliang Liu*, Wenqing Cheng, Fei Huang, Xiang Bai, Cong Yao, Zhibo Yang*. OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A; Co-first author; ;
)
-
Chenyang Gao, Biao Yang, Wenwen Yu, Yuliang Liu*, Xiang Bai. Knowledge Mining of Scene Text for Referring Expression Comprehension. International Conference on Document Analysis and Recognition (ICDAR), 2024. (CCF-C; Oral)
-
Yuliang Liu, Zhang Li, Mingxin Huang, Biao Yang, Wenwen Yu, Chunyuan Li, Xucheng Yin, Cheng-Lin Liu, Lianwen Jin, Xiang Bai*. OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models. Science China Information Sciences (SCIS), 2024. (CCF-A; SCI Q2; IF = 7.3; ;
)
-
Chenyang Gao, Biao Yang, Hao Wang, Mingkun Yang, Wenwen Yu, Yuliang Liu*, Xiang Bai. TextREC: A Dataset for Referring Expression Comprehension with Reading Comprehension. International Conference on Document Analysis and Recognition (ICDAR), 2023. (CCF-C; )
🎖 Honors and Awards
-
2024 – Gold Award, China International College Students’ Innovation Competition (formerly “Internet+”)
Project: Multimodal Large Language Model Based Document Intelligence Processing System, Project Leader.
-
2019 – National Scholarship
-
2019 – Champion, ICDAR 2019 SROIE Task 3 (Key Information Extraction from Scanned Receipts)
-
2019 – Runner-up, ICDAR 2019 SROIE Task 1 (Scanned Receipt Text Localisation)
-
2019 – Third Place, ICDAR 2019 SROIE Task 2 (Scanned Receipt OCR)
-
2018 – Second Prize, Outstanding Undergraduate Thesis of Jiangsu Province
-
2016 – Second Prize, East China Division of the National College IoT Design Competition
-
2015 – Third Prize, Jiangsu Division of the National College Mathematical Modeling Competition
📖 Educations
- 2021.09 – 2025.09, Ph.D., Huazhong University of Science and Technology, Wuhan, China | Supervisor: Prof. Xiang Bai, VLR Lab
- 2018.09 – 2021.07, M.S., Xuzhou Medical University, Xuzhou, China
- 2014.09 – 2018.07, B.S., Xuzhou Medical University, Xuzhou, China
💬 Invited Talks
- 2023.04, Hot Research Cloud Symposium: Exploring the Frontiers and Applications of Text Recognition.
- 2021.09, “Document Image Analysis and Recognition” Thematic Forum — First Graduate Academic Forum of the Journal of Image and Graphics.
💻 Internships
- 2023 – 2025, Alibaba · DAMO Academy / Tongyi Lab, Alibaba Innovative Research (AIR) Academic Intern
- 2021 – 2022, Tencent · Youtu Lab, Research Intern
- 2019 – 2020, Ping An Property & Casualty Insurance Company of China, Research Intern
🧩 Academic Service
- Organized an international OCR competition at ICDAR 2023: ICDAR 2023 Competition on Reading the Seal Title (ReST), which attracted participation from over 50 well-known research institutions and teams from both academia and industry.
- Organized an international OCR competition at ICDAR 2023: ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images (SVRD), which attracted participation from over 50 well-known research institutions and teams from both academia and industry.
- Served as a reviewer for several leading international conferences and journals in the field of computer vision and pattern recognition: TPAMI, CVPR, ICCV, ECCV, ICML, ICPR, ICDAR, TIP, TMM, SCIS, PR, ACM TOMM, TCSVT, CVIU, IJDAR, etc.