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Gemfile.lock

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2.5.23

_i18n/en/_people/wang_hao.md

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### 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.
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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)
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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.
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### 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)
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- Human-Model Cognitive Collaboration (Master's students, female students preferred)
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- Medical RAG Deep Reasoning (Document Agents, DeepSearch)
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We currently have 2-3 openings available. Interested students are welcome to [contact us](mailto:[email protected]).
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### Expectations for Students
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- Proactive attitude
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- Prioritize important tasks
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- Begin with the end in mind
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### Personal Reflection
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Having seen mountains and seas, experienced joys and sorrows, all beings pursue their interests.
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### Current Students
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| Name | Year | Undergraduate University | Note | Research Direction |
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|:-------:|:--------:|:-------------:|:--------:|:------------:|
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| [Chen Bin](/people/chen_bin) | 2022 | Shanghai University | Direct Admission | Controllable Text-Image Generation |
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| [Wang Changqing](/people/wang_changqing) | 2022 | China University of Petroleum | | Document Reading Agent |
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| [Wang Qingxuan](/people/wang_qingxuan) | 2022 | Northeast Petroleum University | Direct Admission | Human-Machine Document Reading |
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| [Liu Maolin](/people/liu_maolin) | 2023 | Shanghai University | | Multi-Agent Medical RAG |
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| [Yang Qi](/people/yang_qi) | 2024 | Dongguan University of Technology | | Multi-Agent Document Understanding |
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| [IDLKAID MOHAMMED](/people/simo) | 2024 | Sidi Mohamed Ben Abdellah University | International Student | Medical RAG Active Interaction |
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### Alumni
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| Name | Year | Undergraduate University | Current Position | Thesis | Note |
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|:-------:|:--------:|:-------------:|:--------:|:------------:|:------------:|
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| 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) | |
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| 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) | |
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| 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 |
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| 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) | |
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| 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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### 个人简介
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工学博士,智能科学与技术系副教授(2024~至今),曾获国家留学基金委CSC公派博士生奖学金资助,于2014年和2019年在日本早稻田大学分别获得硕士和博士学位。曾在微软亚洲研究院、东芝全球研发中心和日本NTT公司研究所工作。近五年来,在EMNLP、COLING、CogSci等国际会议和期刊上发表论文30余篇(其中SCI/SSCI/A&HCI三大索引期刊或CCF推荐会议25余篇)。2021年入选上海科委"扬帆计划项目"(已结项),2023年获得国家自然科学基金青年项目(人工智能交叉)支持,承担企业合作横向研究5项。作为课题骨干参与自然科学基金委重大、面上项目多项目,科技部重点及社会治理专项项目多项。长期担任ICLR、ICML、NeurIPS、ACL、EMNLP、AAAI等人工智能/自然语言处理领域顶级国际会议和 TKDD、TNNLS、NLE等期刊的PC Member、审稿人。主要研究方向包括:人工智能(含医学文档)、人机协同认知、自然语言处理等。欢迎对计算机交叉学科感兴趣的同学报考,也欢迎留学生报考
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工学博士,智能科学与技术系讲师(2019-2024)、副教授(2024~至今),曾获国家留学基金委CSC公派博士生奖学金资助,于2014年和2019年在日本早稻田大学分别获得硕士和博士学位。曾在微软亚洲研究院、东芝全球研发中心和日本NTT公司通讯研究所工作。近五年来,在EMNLP、COLING、CogSci等国际会议和期刊上发表论文30余篇(其中SCI/SSCI/A&HCI三大索引期刊或CCF推荐会议25余篇)。2021年入选上海科委"扬帆计划项目"(已结项),2023年获得国家自然科学基金青年项目(人工智能交叉)支持,承担企业合作横向研究5项。作为课题骨干参与国家自然科学基金委重大、面上项目多项目,科技部重点研发计划及社会治理专项项目多项。长期担任ICLR、ICML、NeurIPS、ACL、EMNLP、AAAI等人工智能/自然语言处理领域顶级国际会议和 TKDD、TNNLS、NLE等期刊的PC Member、审稿人。主要研究方向包括:人工智能、人机协同认知、自然语言处理(含医学文档)等
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### 历任:
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- 上海大学 计算机工程与科学学院 智能科学与技术系 副教授(2024~至今)
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- 上海大学 计算机工程与科学学院 智能科学与技术系 讲师(2019-2024)
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目前实验室主要由NLP背景的同学为主,我们亦欢迎有语言学、认知科学和心理学等交叉学科背景的同学加入实验室,也欢迎留学生报考。
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### 研究方向
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- 人类与大模型认知协同(学硕、女生优先)
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- 医学RAG深度推理(文档智能体、DeepSearch)
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目前的名额充足(2~3名),欢迎感兴趣的同学 [【点击这里】](mailto:[email protected]) 联系。
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25年预计研究方向:
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- 人类认知协同(眼动、脑电 + 大模型)学硕、女生优先
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- 医学深度推理(文档智能体、RAG + DeepSearch)
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### 对学生的期待
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工程能力与学术视野兼有
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- 积极主动
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- 要事第一
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- 以终为始
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### 一点感悟
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见过山海,过尽悲欢,众生皆是熙熙利往
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### 在读研究生
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| 姓名 | 入学年份 | 本科院校 | 备注 | 研究方向 |
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|------|----------|---------------|----------|------------|
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| 陈斌 | 2022 | 上海大学 | 保送 |图像文字可控生成|
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| 王常青 | 2022 | 中国石油大学 | |文档阅读智能体 |
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| 王庆轩 | 2022 | 东北石油大学 | 保送 |人机协同文档阅读 |
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| 刘茂林 | 2023 | 上海大学 | |多智能体医学RAG |
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| 杨旗 | 2024 | 东莞理工学院 | |多智能文档理解 |
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| IDLKAID MOHAMMED | 2024 | 无锡学院 | 留学生 |医学RAG主动交互 |
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| 姓名 | 入学年份 | 本科院校 | 备注 | 研究方向 |
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|:-------:|:--------:|:-------------:|:--------:|:------------:|
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| [陈斌](/people/chen_bin) | 2022 | 上海大学 | 保送 |图像文字可控生成|
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| [王常青](/people/wang_changqing) | 2022 | 中国石油大学 | |文档阅读智能体 |
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| [王庆轩](/people/wang_qingxuan) | 2022 | 东北石油大学 | 保送 |人机协同文档阅读 |
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| [刘茂林](/people/liu_maolin) | 2023 | 上海大学 | |多智能体医学RAG |
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| [杨旗](/people/yang_qi) | 2024 | 东莞理工学院 | |多智能文档理解 |
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| [IDLKAID MOHAMMED](/people/simo) | 2024 | Sidi Mohamed Ben Abdellah University | 留学生 |医学RAG主动交互 |
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|------|----------|---------------|----------|------------|------------|
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### 毕业生
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### 往届毕业生
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| 姓名 | 毕业年份 本科院校 | 去向 | 毕业论文 | 毕业论文 |
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|------|----------|----------------|-----------------|----------|----------|
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| 杜思远 | 2022 | 上海工程技术大学 | SAP 思爱普,上海 | [硕士论文](/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) | |
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| 陶曦 | 2023 | 上海大学 | 字节跳动,深圳 | [硕士论文](/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) | |
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| 张俊伟 | 2023 | 郑州轻工业大学 | 中国联通,上海 | [硕士论文](/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) | 研二转入 |
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| 姓名 | 毕业年份 | 本科院校 | 去向 | 毕业论文 | 备注 |
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|:-------:|:--------:|:-------------:|:--------:|:------------:|:------------:|
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| 杜思远 | 2022 | 上海工程技术大学 | SAP 思爱普,上海 | [硕士论文](/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) | |
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| 陶曦 | 2023 | 上海大学 | 字节跳动,深圳 | [硕士论文](/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) | |
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| 张俊伟 | 2023 | 郑州轻工业大学 | 中国联通,上海 | [硕士论文](/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) | 研二转入 |
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| 陈夏华 | 2024 | 南通大学 | 众安科技,上海 | [硕士论文](/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) | |
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| 李唐 | 2024 | 太原理工大学 | 中国联通,上海 | [硕士论文](/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) | |
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| 李唐 | 2024 | 太原理工大学 | 中国电信,上海 | [硕士论文](/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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|------|----------|---------------|----------|------------|------------|
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