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5 | 5 | ### Biography
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| -Dr. Hao Wang is an Associate Professor in the Department of Intelligent Science and Technology at Shanghai University (2024-present). He received his Master's and Ph.D. degrees from Waseda University, Japan in 2014 and 2019 respectively, supported by the China Scholarship Council (CSC) scholarship. His professional experience includes research positions at Microsoft Research Asia, Toshiba Global R&D Center, and NTT Research Laboratories. Over the past five years, Dr. Wang has published over 30 papers in prestigious international conferences and journals, including EMNLP, COLING, and CogSci, with over 25 papers appearing in SCI/SSCI/A&HCI indexed journals or CCF recommended conferences. His research contributions have been recognized through various funding programs, including the Shanghai Science and Technology Commission's "Young Talents Program" (2021, completed), the National Natural Science Foundation Youth Project in AI Interdisciplinary Research (2023), and five enterprise collaborative research projects. Dr. Wang has served as a key member in multiple major and general projects of the National Natural Science Foundation, as well as several key projects and social governance special projects of the Ministry of Science and Technology. He maintains active involvement in the academic community as a PC Member and reviewer for top international conferences in AI/NLP, including ICLR, ICML, NeurIPS, ACL, EMNLP, AAAAI, and journals such as TKDD, TNNLS, and NLE. His research interests encompass Artificial Intelligence (with a focus on medical documents), Human-Machine Collaborative Cognition, and Natural Language Processing. |
| 7 | +Dr. Wang is currently an Associate Professor (2024-present) and former Lecturer (2019-2024) in the Department of Intelligent Science and Technology. He received his Ph.D. and M.S. degrees from Waseda University, Japan in 2019 and 2014 respectively, with the support of the China Scholarship Council (CSC). He has worked at Microsoft Research Asia, Toshiba Global R&D Center, and NTT Communication Science Laboratories. In the past five years, he has published over 30 papers in international conferences and journals such as EMNLP, COLING, and CogSci (including more than 25 papers in SCI/SSCI/A&HCI indexed journals or CCF recommended conferences). In 2021, he was selected for the Shanghai Science and Technology Commission's "Sail Plan Project" (completed), and in 2023, he received support from the National Natural Science Foundation of China Youth Project (AI Interdisciplinary). He has led 5 industry collaboration projects and participated in multiple major and general projects of the National Natural Science Foundation of China, as well as key R&D and social governance projects of the Ministry of Science and Technology. He regularly serves as a PC Member and reviewer for top international conferences in AI/NLP such as ICLR, ICML, NeurIPS, ACL, EMNLP, AAAI, and journals including TKDD, TNNLS, and NLE. His research interests include artificial intelligence, human-machine cognitive collaboration, and natural language processing (including medical documents). |
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| -### Professional Experience |
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| -- Associate Professor, Department of Intelligent Science and Technology, School of Computer Engineering and Science, Shanghai University (2024-present) |
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| -- Lecturer, Department of Intelligent Science and Technology, School of Computer Engineering and Science, Shanghai University (2019-2024) |
| 9 | +Our lab primarily consists of students with NLP backgrounds, and we welcome students with interdisciplinary backgrounds in linguistics, cognitive science, and psychology to join our lab. International students are also welcome to apply. |
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| -### Research Topics |
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| -We are currently seeking motivated students (2-3 positions) for our research group. We welcome applications from both domestic and international students interested in computer science interdisciplinary research. Interested candidates please [click here](mailto:[email protected]) to contact. |
| 11 | +### Research Directions |
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| -### Research directions for 2025: |
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| -- Human Cognitive Collaboration (Eye-tracking, EEG + Large Language Models) - Master's students, female students preferred |
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| -- Medical Deep Reasoning (Document Intelligence, RAG + DeepSearch) |
| 13 | +- Human-Model Cognitive Collaboration (Master's students, female students preferred) |
| 14 | +- Medical RAG Deep Reasoning (Document Agents, DeepSearch) |
| 15 | + |
| 16 | +We currently have 2-3 openings available. Interested students are welcome to [contact us](mailto:[email protected]). |
| 17 | + |
| 18 | +### Expectations for Students |
| 19 | +- Proactive attitude |
| 20 | +- Prioritize important tasks |
| 21 | +- Begin with the end in mind |
| 22 | + |
| 23 | +### Personal Reflection |
| 24 | + |
| 25 | +Having seen mountains and seas, experienced joys and sorrows, all beings pursue their interests. |
| 26 | + |
| 27 | +### Current Students |
| 28 | + |
| 29 | +| Name | Year | Undergraduate University | Note | Research Direction | |
| 30 | +|:-------:|:--------:|:-------------:|:--------:|:------------:| |
| 31 | +| [Chen Bin](/people/chen_bin) | 2022 | Shanghai University | Direct Admission | Controllable Text-Image Generation | |
| 32 | +| [Wang Changqing](/people/wang_changqing) | 2022 | China University of Petroleum | | Document Reading Agent | |
| 33 | +| [Wang Qingxuan](/people/wang_qingxuan) | 2022 | Northeast Petroleum University | Direct Admission | Human-Machine Document Reading | |
| 34 | +| [Liu Maolin](/people/liu_maolin) | 2023 | Shanghai University | | Multi-Agent Medical RAG | |
| 35 | +| [Yang Qi](/people/yang_qi) | 2024 | Dongguan University of Technology | | Multi-Agent Document Understanding | |
| 36 | +| [IDLKAID MOHAMMED](/people/simo) | 2024 | Sidi Mohamed Ben Abdellah University | International Student | Medical RAG Active Interaction | |
| 37 | + |
| 38 | +### Alumni |
| 39 | + |
| 40 | +| Name | Year | Undergraduate University | Current Position | Thesis | Note | |
| 41 | +|:-------:|:--------:|:-------------:|:--------:|:------------:|:------------:| |
| 42 | +| Du Siyuan | 2022 | Shanghai University of Engineering Science | SAP, Shanghai | [Master's Thesis](/assets/pdf/thesis/杜思远-基于深度学习的认知语言学转喻识别方法研究.pdf) | | |
| 43 | +| Tao Xi | 2023 | Shanghai University | ByteDance, Shenzhen | [Master's Thesis](/assets/pdf/thesis/陶曦-面向不均衡样本的知识图谱构建与推理方法.pdf) | | |
| 44 | +| Zhang Junwei | 2023 | Zhengzhou University of Light Industry | China Unicom, Shanghai | [Master's Thesis](/assets/pdf/thesis/张俊伟-多元异构数据融合的视觉富文档理解方法研究.pdf) | Transferred in Year 2 | |
| 45 | +| Chen Xiahua | 2024 | Nantong University | ZhongAn Technology, Shanghai | [Master's Thesis](/assets/pdf/thesis/陈夏华-跨模态提示增强的视觉富文档理解方法研究.pdf) | | |
| 46 | +| Li Tang | 2024 | Taiyuan University of Technology | China Telecom, Shanghai | [Master's Thesis](/assets/pdf/thesis/李唐-面向视觉富文档信息抽取任务的知识迁移方法研究.pdf) | | |
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