黃振亞

 

Email：huangzhy@ustc.edu.cn

個人主頁: http://staff.ustc.edu.cn/~huangzhy/


主要研究方向：數據挖掘，文本挖掘，推薦係統等



黃振亞，1992年生，博士，副教授，碩士生導師。2014年於山東大學軟件學院獲工學學士學位，2020年於中國科學技術大學計算機學院獲工學博士學位。曾於2018年11月至2019年10月赴美國伊利諾伊大學香檳分校訪問學習。主要研究方向為數據挖掘、文本挖掘，推薦係統等，特別是教育大數據分析與應用。近年來，在相關領域高水平學術期刊（如TKDE、TOIS、計算機學報等）和國際重要學術會議（如：KDD、SIGIR、AAAI、CIKM等）上發表論文20餘篇，申請發明專利10餘項。擔任IEEE TKDE、ACM TIST等學術期刊審稿人，以及NeurIPS、AAAI、SDM等多個國際會議的程序委員會委員。

 

獲獎情況：

  1. 2020年，中科院院長優秀獎

  2. 2019年，博士研究生國家獎學金

  3. 2019年，華瑜基金獎學金

  4. 2018年，國家留學基金委公派聯合培養博士生獎學金

 

代表性著作：

  1. Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu, Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students, ACM Transactions on Information Systems (ACM TOIS), 38(2), Article 19, February 2020.

  2. Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu, EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2019.

  3. Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen, Neural Mathematical Solver with Enhanced Formula Structure, The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020): 1729-1732, Xi'an, China, July 25-30, 2020.

  4. Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu, Exploring Multi-Objective Exercise Recommendations in Online Education Systems, The 28th ACM International Conference on Information and Knowledge Management (CIKM’2019): 1261-1270, Beijing, China, November 3-7, 2019.

  5. Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu, Question Difficulty Prediction for READING Problems in Standard Tests, The 31st AAAI Conference on Artificial Intelligence (AAAI'2017): 1352-1359, San Francisco, California USA, February 4-9, 2017

  6. Haoyang Bi, Haiping Ma, Zhenya Huang*, Yu Yin, Qi Liu, Enhong Chen, Yu Su, and Shijin Wang, Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing, The 20th IEEE International Conference on Data Mining (ICDM'2020), Sorrento, Italy, November 17-20 2020. Accepted.

  7. Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma and Shijin Wang, Federated Deep Knowledge Tracing, The 14th ACM Conference on Web Search and Data Mining (WSDM'2021), Jerusalem, Israel, March 8-12 2021. accepted.

  8. Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee, ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction, The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2020): 731-739, San Diego, CA, USA, August 23-27 2020.

  9. Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su, QuesNet: A Unified Representation for Heterogeneous Test Questions, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2019): 1328-1336, Anchorage, AK, USA, August 4-8 2019.

  10. Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu, Transcribing Content from Structural Images with Spotlight Mechanism, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 2643-2652, London, UK, August 19-23 2018. 


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