I am a Professor in School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University.
My primary research interests is AI for Science. I have published more than 70 papers 
🔥 News
To：有意加入KOMABA课题组的同学：KOMABA（Knowledge-Oriented Machine learning and Artificial intelligence for Big data and Analytics lab）
本课题组是一直以来从事人工智能相关的研究，特别是自然语言处理相关研究，是学院的几大major科研团队之一。最初主要由三位老师：曲维光老师，周俊生老师以及我组成，最近新引进老师以及研究团队调整，加入了孔力老师，陈燚老师，郑智超老师，刘海峰老师以及宋凤义老师等。本组现在的主要研究目标是NLP在相关领域的赋能。主要的研究内容包括：NLP中语言资源建设，包括语料库的标注，校准，词法句法等相关的基础性研究（曲老师），NLP相关基础算法相关应用（周老师，最近周老师在做一些与智慧教育相关的工作），NLP相关应用（顾）。假如你对词法句法（离合词，未登录词，复合词等的发现，语料库标注）以及NLP基础性研究比较感兴趣也可以联系他们两位老师。
我博士期间以及到2015年一直是做数据库相关研究（Power aware Database System，IR）等，并且你从DBLP上也可以看到我的一些paper。从2016年转型专注NLP，2016ACL的paper就是当时结合数据库与NLP技术的一个交叉研究（交叉这个词最近比较火热）。2019开始利用NLP相关技术来加速材料筛选，跟东南大学王金兰老师，以及本校李亚飞老师合作。所以我很多思维以及方法有DB的烙印，这些你也可以通过其他同学来了解。这个研究方向也获得了国家自然基金重点项目的支持。
我们大课题组大概有30多位同学，我这边有10位同学（包括一名留学生），2023年将会毕业3位，我计划在2023年9月招多名同学（或者大于4名）。
我现在的学生主要来自南师大本校，苏州科技大学，南京理工大学，郑州大学，武汉理工大学，山东师范大学，天津师范大学。
因为我现在有国家自然基金项目，还有一些其他的项目，所以我要求研究都是基于现有项目，2023计划的同学中至少2名学硕，或者假如专硕同学明确愿意继续深造或者能从事研究型课题，也是大欢迎的。
我的研究课题比较的新，主要是与材料发现，药物设计有关，现有的研究内容也支撑了2023年毕业的3名硕士。假如你对这个课题比较有兴趣的话，我们可以好好聊下。
我对学生的科研要求比较随性但不随意，研1阶段基本上是主要自己找寻研究方向（非方向的自由探索，主要是培养自己的科研兴趣，i.e., 大方向我来定，根据项目需求），这也是每一个同学从小白到真正研究生的必经之路。我不会刻意的让你一定要发一些论文（不水paper），但是我会鼓励你能总结自己的工作来发paper。
再次感谢对本课题组以及我个人研究方向对兴趣，若想了解跟多或者更多了解，你也可以随时跟我联系。
也欢迎来南师大我办公室跟我谈，我的地点在：南京市文苑路1号南京师范大学仙林校区 明理楼305室。
当然也欢迎方便的时候给我写email，这个是最方便的了~
📚 Publications
📕 Journals
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2013Exploration on Effectiveness and Efficiency of Similar Sentence Matching Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa. Polibits, no. 47, pp. 23-29. -
2012Exploration on Efficient Similar Sentences Extraction Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa. IEICE Technical Report, vol. 112, no. 172, DE2012-19, pp. 17-22, Aug. 2012.. -
2011A Study on Efficient Searching Top-k Semantic Similar Sentences Yanhui Gu, Zhenglu Yang, Masaru Kitsuregawa. IEICE Technical Report, vol. 111, no. 361, DE2011-42, pp. 13-18, Dec. 2011..
📘 Conferences
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AAAI 2023HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction, Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang. -
DNIS 2013Performance evaluation of similar sentences extraction, Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa . -
BSI 2013Exploration on Similar Spatial Textual Objects Retrieval, Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa. -
IDEAL 2012Towards efficient similar sentences extraction, Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa. -
APWeb 2012Collective Viewpoint Identification of Low-Level Participation, Bin Zhao, Zhao Zhang, Yanhui Gu, Weining Qian & Aoying Zhou. -
NLP-KE 2011A practical framework for formalizing and extracting Chinese collocations, Weiguang Qu; Xuri Tang; Junsheng Zhou; Yanhui Gu; Bin Li. -
AAAI 2011SemRec: A Semantic Enhancement Framework for Tag Based Recommendation, Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa. -
ADMA 2011Discovering Collective Viewpoints on Micro-blogging Events Based on Community and Temporal Aspects, Bin Zhao, Zhao Zhang, Yanhui Gu, Xueqing Gong, Weining Qian & Aoying Zhou . -
WISE 2011TOAST: A Topic-Oriented Tag-Based Recommender System, Guandong Xu, Yanhui Gu, Yanchun Zhang, Zhenglu Yang, Masaru Kitsuregawa.
Books
2013On group extraction and fusion for tag-based social recommendation Guandong Xu, Yanhui Gu, Xun Yi. Social Media Mining and Social Network Analysis: Emerging Research.
📔 Patents
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2023Prediction method of docking posture between protein and ligand based on graphic neural network Yanhui Gu, Xiaojian Chen, Xianfeng Zhang, Yuansu Hao, Yuxin Wen, Chuyue Liao. CN116343910A. -
2023Ligand docking gesture virtual screening method based on quick retrieval Xiaojian Chen, Yanhui Gu, Chang Liu, Xianfeng Zhang, Haohui Xia, Yang Li, Yafei Li, Jinlan Wang. CN116246696A.
🏆 Honors and Awards
- 2015, Six Talent Peaks: Research on High Performance Algorithm by Incorporating Subgraph Matching Strategy for Short Texts Extraction over Complex Large Scale Data, by Jiangsu Province Government
📖 Educations
- 2013, PhD, Computer Science, The University of Tokyo, Japan. (advised by Masaru KITSUREGAWA)
💬 Invited Talks
- 2023.06, XXX | [Video]
📝 Teaching
- C Programming Language Course, Nanjing Normal University (Offered every autumn, since 2016)
- Database Principle and Application Course, Nanjing Normal University
💻 Alumni
Postdocs：
PhD students：
Master’s students：
| Name | Year | Current position | Co-advisors |
|---|---|---|---|
| Haohui Xia | 2022 | ||
| Meng Li | 2022 | ||
| Jiancai Wang | 2022 | ||
| Ronghua Zan（化学） | 2021 | ||
| Shengjie Guo | 2021 | ||
| Xiao Lei | 2021 | ||
| Xianfeng Zhang | 2020 | ||
| Lidong Zhang | 2020 | ||
| Yaohua Wang | 2020 | ||
| Ruiqi Bao | 2019 | ||
| Zhiquan Lan | 2019 | ||
| Xinyu Lu | 2018 | ||
| Yan Wang | 2018 | ||
| Rivita | 2018 | ||
| Shuang Cao | 2017 | ||
| Jingtao Du | 2017 | ||
| Qiwen Chen（Q） | 2017 |
Undergraduate students：
| Name | Year | Current position |
|---|---|---|
| Huijie Zhang | 2023 | Undergraduate Student, University of Illinois Urbana-Champaign |
| Yuhao Wang | 2023 | Master’s Student, Kyoto niversity |
| Xiaojian Chen | 2023 | Master’s Student, Johns Hopkins University |
| Jiaxian Yan | 2021 | Master’s Student, University of Science and Technology of China |
| Yuchen Hu | 2021 | Master’s Student, Carnegie Mellon University (Microsoft) |
| Yeyang Zhou | 2020 | Master’s Student, University of California San Diego (Apple) |
| Yixin Chen | 2020 | Master’s Student, Harbin Institute of Technology |
| Yu Zhou | 2020 | Master’s Student, University of Electronic Science and Technology of China |
| Xianfeng Zhang | 2020 | Master’s Student, Nanjing Normal University |
| Yanling Xiao | 2019 | Master’s Student, Nanjing University |
| Kuojian Lu | 2019 | Master’s Student, The Hong Kong University of Science and Technology |
Last updated: Jul 2, 2023