Hanqing Tao (陶汉卿)

Ph.D. Student [CV]

Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA)
School of Computer Science and Technology
University of Science and Technology of China (USTC)

Email: hqtao@mail.ustc.edu.cn
Room 208, Science and Technology Laboratory Building, West Campus, USTC, Hefei, Anhui, China, 230027.

I am a Ph.D. student at the School of Computer Science and Technology, University of Science and Technology of China (USTC). My supervisor is Prof. Enhong Chen. My research interests include Data Mining and Natural Language Processing (NLP), with an emphasis on Chinese.

Education

Experience

• Research Assistant, Laboratory of BDAA, USTC, Feb. 2017 ~ Present.

• A Radical-aware Attention-based Model for Chinese Text Classification, Laboratory of BDAA, USTC, Jun. 2018 ~ Sep. 2018

• Kaggle Music Recommendation Competition, Oct. 2017 ~ Dec. 2017.

• iFLYTEK, Summer Intern, Hefei, China, Jun. 2017 ~ Sep. 2017.

• A Chinese Short Text Topic Understanding Model Based on Rules and Naive Bayes, Bachelor's degree paper, Xuzhou, China, Feb. 2017 ~ May. 2017.

• Humanoid Robot Competition, Huai'an, Jiangsu, China, May, 2015 ~ July, 2015.

Honors and Awards

• 2022, Outstanding Graduate of USTC

• 2021, First Class Scholarship for Postgraduate students

• 2020, Yuan Qing Scholarship

• 2019, China National Scholarship & First Class Scholarship for Ph.D. Graduate students

• 2018, First Class Scholarship for Postgraduate students

• 2017, Outstanding Graduate Scholarship of CUMT

• 2014 ~ 2016, Excellent student and first Class Scholarship of China University of Mining and Technology

• 2015, The 1st Prize of Humanoid RoboCup International Open Competition (Combat Remote Control Group)

• 2014, Hongyi Electric Scholarship

Selected Publications

1. Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong, “Learning from Ideography and Labels: A Schema-aware Radical-guided Associative Model for Chinese Text Classifcation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022.[PDF]

2. Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou, Ideography Leads Us to the Field of Cognition: A Radical-guided Associative Model for Chinese Text Classification, In Proceedings of 35th AAAI Conference on Artificial Intelligence (AAAI'21), A Virtual Conference, 2021, 35(15): 13898-13906.[PDF][Poster]

3. Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu, A Radical-aware Attention-based Model for Chinese Text Classification, In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019: 5125-5132.[PDF][Poster]

4. Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen, Chinese Embedding via Stroke and Glyph Information: A Dual-channel View, arXiv preprint arXiv:1906.04287.[PDF]

5. Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen, A two-stage 3D CNN based learning method for spontaneous micro-expression recognition[J]. Neurocomputing, 2021, 448: 276-289.[PDF]

6. Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma, Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition, in CAAI International Conference on Artifcial Intelligence, 2021.[PDF]

7. Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen, Context-Awar Generation-Based Net For Multi-Label Visual Emotion Recognition, In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME’2020), London, UK, Jul 2020.[PDF]

8. Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao, Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach, In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, USA, 2020.[PDF]

9. Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu, Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation, In International Conference on Database Systems for Advanced Applications (DASFAA'22), Hyderabad, India,2022.[PDF]

10. Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, KeRui, Technical Phrase Extraction for Patent Mining: A Multi-level Approach, In Proceedings of the 20th IEEE International Conference on Data Mining (ICDM’2020), Sorrento, Italy, Nov 2020.[PDF]

Patents

1. Enhong Chen, Qi Liu, Hanqing Tao, Shiwei Tong, Tong Xu, 《一种基于部首联想的汉语文本分类方法及装置》, Patent Number: Under Reviewing

2. Enhong Chen, Qi Liu, Ruijun Sun, Yanmin Chen, Hanqing Tao, 《基于文章的问题生成方法》, Patent Number: No.202010350734.8

3. Enhong Chen, Qi Liu, Tong Xu, Shiwei Tong, Hanqing Tao, 《基于笔画和字形的形态学双通道中文词嵌入方法》, Patent Number: No.201910881062.0

4. Enhong Chen, Qi Liu, Tong Xu, Hanqing Tao, Shiwei Tong, Hongke Zhao, Binbin Jin, 《一种中文文本的分类方法及系统》, Patent Number: No.201811371967.5

5. Enhong Chen, Qi Liu, Hongke Zhao, Binbin Jin, Hanqing Tao, 《面向众筹平台的捐赠行为与捐赠者保持预测方法》, Patent Number: No.201810561618.3

Colleagues

USTC: Enhong Chen, Qi Liu, Tong Xu, Hongke Zhao