Han Wu   武晗

Ph.D. Student
Anhui Province Key Laboratory of Big Data Analysis and Application
Department of Computer Science and Engineering
University of Science and Technology of China (USTC)

Email:  ustcwuhan@gmail.com;  wuhanhan@mail.ustc.edu.cn.
Office:  211, West Lab Building of Science and Technology, West Campus of USTC, Hefei, Anhui, China, 230027.
Biography

Han Wu received her B.E. degree in Software Engineering from Dalian University of Technology in 2015. She is currently working toward her PhD degree under the supervision of Prof. Enhong Chen and Prof. Qi Liu in the Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China, Hefei, China. Her research interests include patent mining and its application in business intelligence.

Publications  (Selected)
  1. Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen, Patent2Vec: Multi-view Representation Learning on Patent-Graphs for Patent Classification, In World Wide Web (WWWJ'21). Accept.

  2. Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen*, Hanqing Tao, Ke Rui, Technical Phrase Extraction for Patent Mining: A Multi-level Approach, The 20th International Conference on Data Mining (ICDM'2020). Sorrento, Italy, 2020, 1142-1147. [PDF]

  3. Shuanghong Shen, Qi Liu, Enhong Chen*, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma and Shijin Wang, Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process, The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020), Xi'an, China, 2020, 1857-1860. [PDF]

  4. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu, Multi-Level Image-Enhanced Sentence Representation Net for Natural Language Inference, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC-S 2019), 2019: 2168-2216. [PDF]

  5. Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen*, Jianhui Ma, Deep Technology Tracing for High-tech Companies, The 19th International Conference on Data Mining (ICDM'2019), Beijing, China, 2019, 1396-1401. [PDF]

  6. Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), Anchorage, AK, USA, 2019, 1064-1072. [PDF]

  7. Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao*, Chuanren Liu, Dongfang Du, Patent Litigation Prediction: A Convolutional Tensor Factorization Approach, The 27th International Joint Conference on Artificial Intelligence (IJCAI'2018), 5052-5059. [PDF]

  8. Hongjie Lin, Hao Wang, Dongfang Du, Han Wu, Biao Chang, Enhong Chen*, Patent Quality Valuation with Deep Learning Models, The 23rd International Conference on Database Systems for Advanced Applications (DASFAA'2018), 474-490. [PDF]

  9. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, and Han Wu, Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference, The 18th International Conference on Data Mining (ICDM'2018), 747-756. [PDF]

Honors
  • USTC:
    • 2020, 北京数据开放创新引用大赛——科技战役 大数据公益挑战赛 “重大突发公共卫生事件处理解决方案” 一等奖
    • 2019, KDD CUP 2019 Regular ML Track Task 2 PaddlePaddle Special Award
    • 2019, ICDM 2019 Student Travel Award
    • 2019, 环球数码奖学金
    • 2019, Graduate Student First-class Academic Scholarship
    • 2018, IJCAI 2018 Student Travel Grant
    • 2018, 中国（合肥）城市大数据与人工智能创新应用大赛 铜奖
    • 2018, 中国科学技术大学 元庆奖学金
    • 2018, Graduate Student First-class Academic Scholarship
    • 2017, Graduate Student First-class Academic Scholarship
    • 2016, Graduate Student Second-class Academic Scholarship