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联系方式：

邮箱：huangzhy@ustc.edu.cn

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


主要研究方向：数据挖掘与知识发现、知识计算与认知推理，智能教育技术与应用


个人简介：

黄振亚，1992年生，博士，副教授，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与知识发现、知识计算与认知推理，智能教育技术与应用。近年来，在相关领域高水平学术期刊（如TKDE、TOIS、TNNLS等）和国际重要学术会议（如：KDD、SIGIR、AAAI、CIKM等）上发表论文50余篇，申请发明专利10余项。担任IEEE TKDE、ACM TOIS等学术期刊审稿人，以及NeurIPS、ICML、AAAI、SDM等多个国际会议的程序委员会委员。获2020年吴文俊人工智能科技进步一等奖，2020年中国科学院院长奖，2022年安徽省自然科学二等奖，入选2021全球人工智能华人新星百强榜单等。指导学生获得EDM2021-CSEDM Data Challenge冠军，NeurIPS2022 CasualML Challenge赛道冠军、AAAI2023-Global Knowledge Tracing Challenge冠军、AAAI2024- Global Competition on Math Problem Solving and Reasoning冠军等。



获奖情况：

  1. 2022年，安徽省自然科学二等奖

  2. 2022年，安徽省教学成果一等奖（研究生教育）

  3. 2021年，全球人工智能华人新星百强榜单

  4. 2020年，吴文俊人工智能科技进步一等奖

  5. 2020年，中科院院长优秀奖


代表性著作：

  1.  Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen, Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation, ACM Transactions on Information Systems (ACM TOIS), 41(2), Article 44, April, 2023.

  2.  Xin Lin, Zhenya Huang*, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang, Learning Relation-Enhanced Hierarchical Solver for Math Word Problems, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023

  3.  Liyang He, Zhenya Huang*, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang, An Efficient and Robust Semantic Hashing Framework for Similar Text Search, ACM Transactions on Information Systems (ACM TOIS), 41(4), Article 91, March, 2023

  4.  Jiayu Liu, Zhenya Huang*, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu, Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023): 1477–1488, Long Beach, CA, USA, August 6-10, 2023.

  5.  Bihan Xu, Zhenya Huang*, Jiayu liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang, Learning Behavior-oriented Knowledge Tracing, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023): 2789-2800, Long Beach, CA, USA, August 6-10, 2023.

  6.  Jiayu Liu, Zhenya Huang*, Chengxiang Zhai, Qi Liu, Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning, The 36th AAAI Conference on Artificial Intelligence (AAAI'2023): 4497-4506, WashingTon, DC, USA, Feb.7-14, 2023.

  7.  Longhu Qin, Jiayu Liu, Zhenya Huang*, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen, A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023): 1780-1784, Taipei, Taiwan, China, July 23-27, 2023.

  8.  Guanhao Zhao, Zhenya Huang*, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen, Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems, The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023): 3423-3432, Birmingham, UK, Oct. 21-25, 2023.

  9.  Jiayu Liu, Zhenya Huang*, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen, A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers, The 22nd IEEE International Conference on Data Mining (ICDM'2022): 269-278, Orlando, FL, USA, November 28-December 1, 2022.

  10.  Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang*, Enhong Chen, Yu Su, Shijin Wang, HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework, The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2022): 904-913, Washington, DC, USA, August 14–18, 2022.

  11.  Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong, DisenQNet: Disentangled Representation Learning for Educational Questions, The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021): 696-704, Virtual Conference, August 14-18, 2021.

  12.  Xin Lin, Zhenya Huang*, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang, HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021): 4232-4240, Virtual Conference, February 2-9, 2021.

  13.  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.  

  14.  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.

  15.  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.




地址：安徽省合肥市蜀山区黄山路中国科学技术大学西区科技实验楼东楼七楼     邮编:230026