黄振亚

时间:2020-11-25浏览:2372

 

Email:huangzhy@ustc.edu.cn

个人主页: http://staff.ustc.edu.cn/~huangzhy/


主要研究方向数据挖掘,文本挖掘,推荐系统等



黄振亚,1992年生,博士,特任副研究员,硕士生导师。2014年于山东大学软件学院获工学学士学位,2020年于中国科学技术大学计算机学院获工学博士学位。曾于2018年11月至2019年10月赴美国伊利诺伊大学香槟分校访问学习。主要研究方向为数据挖掘、文本挖掘,推荐系统等,特别是教育大数据分析与应用。近年来,在相关领域高水平学术期刊(如TKDE、TOIS、计算机学报等)和国际重要学术会议(如:KDD、SIGIR、AAAI、CIKM等)上发表论文20余篇,申请发明专利10余项。担任IEEE TKDE、ACM TIST等学术期刊审稿人,以及NeurIPS、AAAI、SDM等多个国际会议的程序委员会委员。

 

获奖情况

  1. 2020年,中科院院长优秀奖

  2. 2019年,博士研究生国家奖学金

  3. 2019年,华瑜基金奖学金

  4. 2018年,国家留学基金委公派联合培养博士生奖学金

 

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 TestsThe 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 TracingThe 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 PredictionThe 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 MechanismThe 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 2643-2652, London, UK, August 19-23 2018.