Zhenya Huang  (黄振亚)


Ph.D, Associate Researcher

Anhui Province Key Laboratory of Big Data Analysis and Application
School of Computer Science and Technology
University of Science and Technology of China (USTC)
BASE Group (Bigdata and Artificial intelligence for Science and Education)

Email: huangzhy@ustc.edu.cn;   zheny.huang@gmail.com
Office: Room 211, Science and Technology Laboratory Building, West Campus, USTC, Hefei, Anhui, China, 230027.


Biography


I am an Associate Researcher at the School of Computer Science and Technology, University of Science and Technology of China (USTC), and a member of the BASE Group of the Anhui Province Key Laboratory of Big Data Analysis and Application.  
I received my Ph.D. in Applied Computer Technology from the Unversitiy of Science and Technology of China in July, 2020, co-supervised by Prof. Enhong Chen and Prof. Qi Liu, and received my Bachelor degree in Software Engineering from Shandong University in July, 2014.
In 2018-2019, I visited the TIMAN Group at the University of Illinois at Urbana-Champaign (UIUC), working with Prof. Chengxiang Zhai.

My research interests include recommender systems, intelligent tutoring systems, educational data analysis, and other related topics in data mining, representation learning and artificial intelligence.

Education


Experience


Honors


Publications (Google Scholar)


    ( *, Corresponding author )
  1. Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng A Survey of Knowledge Tracing, arXiv version, 2021. [Link]
  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), 33(1): 100-115, January, 2021. (ESI Highly Cited Paper). [PDF] [SLIDE] [CODE]
  3. Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu, Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC-S), 51(5), May 2021. [PDF]
  4. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen, HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation, ACM Transactions on Information Systems (ACM TOIS), 40(2), Article 24, September, 2021. [PDF].
  5. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen, Decoupled Representation Learning for Attributed Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, Accepted. [Link]
  6. 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. [PDF] [SLIDE] [POSTER]
  7. 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. [PDF] [SLIDE]
  8. Songtao Fang, Zhenya Huang*, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu, Guided Attention Network for Concept Extraction, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021): 1449-1455, Virtual Conference, August 21-26, 2021. [PDF] [SLIDE]
  9. Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang, Learning Process-consistent Knowledge Tracing, The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021): 1452-1460, Virtual Conference, August 14-18, 2021. [PDF] [SLIDE] [POSTER]
  10. Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Huixiong, Enhong Chen, Jianhui Ma, Modeling Context-aware Features for Cognitive Diagnosis in Student Learning, The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021): 2420-2428, Virtual Conference, August 14-18, 2021. [PDF] [SLIDE] [POSTER]
  11. Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen, Preference-Adaptive Meta-Learning for Cold-Start Recommendation, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021): 1607-1614, Virtual Conference, August 21-26, 2021. [PDF] [SLIDE]
  12. Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen, GraphMI: Extracting Private Graph Data from Graph Neural Networks, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021): 3749-3755, Virtual Conference, August 21-26, 2021. [PDF] [SLIDE]
  13. Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary Pardos, Weijie Jiang, Item Response Ranking for Cognitive Diagnosis, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021): 1750-1756, Virtual Conference, August 21-26, 2021. [PDF] [SLIDE]
  14. Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu Chun Wang, Jianhui Ma, Shijin Wang, Yu Su, RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021): 501-510, Virtual Conference, July 11-15, 2021. [PDF] [SLIDE]
  15. Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi and Bowen Zhou, Hierarchical Personalized Federated Learning for User Modeling, The 30th International World Wide Web Conference (WWW'2021): 957-968, Ljubljana, Slovenia, April 19-23 2021. [PDF] [SLIDE]
  16. Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao, NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021): 4072-4080, Virtual Conference, February 2-9, 2021. [PDF] [SLIDE]
  17. 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): 662-670, Jerusalem, Israel, March 8-12 2021. [PDF] [SLIDE]

  18. 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. [PDF] [SLIDE] [CODE]
  19. 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. [PDF] [SLIDE]
  20. Haoyang Bi, Haiping Ma, Zhenya Huang*, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang, Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing, The 20th IEEE International Conference on Data Mining (ICDM'2020): 42-51, Sorrento, Italy, November 17-20 2020. [PDF][SLIDE]
  21. 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. [PDF] [SLIDE] [CODE]
  22. Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang, Neural Cognitive Diagnosis for Intelligent Education Systems, The 34th AAAI Conference on Artificial Intelligence (AAAI'2020): 6153-6161, New York, USA, February 7-12 2020. [PDF][SLIDE][CODE]
  23. Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang, Fine-Grained Similarity Measurement between Educational Videos and Exercises, The 28th ACM International Conference on Multimedia (ACM MM'2020): 331-339, Seattle, USA, October 12-16 2020. [PDF] [SLIDE]
  24. Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, 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): 1857-1860, Xi'an, China, July 25-30, 2020. [PDF] [SLIDE]
  25. 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 IEEE International Conference on Data Mining (ICDM'2020): 1142-1147, Sorrento, Italy, November 17-20 2020.[PDF][SLIDE]
  26. Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang, Structure-based Knowledge Tracing: An Influence Propagation View, The 20th IEEE International Conference on Data Mining (ICDM'2020): 541-550, Sorrento, Italy, November 17-20 2020.[PDF][SLIDE]
  27. Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen, Predicting Human Mobility with Self-Attention and Feature Interaction, The 4th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM'2020): 117-131, Tianjin, China, September 18-20, 2020. [PDF]

  28. 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. [PDF] [SLIDE] [POSTER]
  29. 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. [PDF] [SLIDE] [POSTER]
  30. Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He, Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective, The 33rd AAAI Conference on Artificial Intelligence (AAAI’2019): 1052-1060, Honolulu, USA, January 27-February 1 2019. [PDF] [SLIDE]
  31. Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yuying Chen, Haiping Ma, Guoping Hu, DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis, The 28th ACM International Conference on Information and Knowledge Management (CIKM’2019): 2397-2400, Beijing, China, November 3-7 2019. [PDF] [SLIDE] [POSTER]

  32. 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. [PDF] [SLIDE] [POSTER]
  33. Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 1821-1830, London, UK, August 19-23 2018. [PDF] [SLIDE] [POSTER]
  34. Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 1734-1743, London, UK, August 19-23 2018. [PDF] [POSTER]
  35. Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu, Exercise-Enhanced Sequential Modeling for Student Performance Prediction, The 32nd AAAI Conference on Artificial Intelligence (AAAI'2018): 2435-2443, New Orleans, Louisiana, USA, February 2-7 2018. [PDF] [SLIDE]
  36. Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang, Confidence-aware Matrix Factorization for Recommender Systems, The 32nd AAAI Conference on Artificial Intelligence (AAAI'2018): 434-442, New Orleans, Louisiana, USA, February 2-7 2018. [PDF] [POSTER]
  37. Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu, MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment, The 23rd International Conference on Database Systems for Advanced Applications (DASFAA'2018): 318-335, Gold Coast Australia, May 21-24 2018. [PDF]
  38. 王超, 刘淇, 陈恩红, 黄振亚, 朱天宇, 苏喻, 胡国平, 面向大规模认知诊断的DINA模型快速计算方法研究, 电子学报, 46(5):1047-1055, 2018年5月. [PDF]
  39. 刘淇, 陈恩红, 朱天宇, 黄振亚, 吴润泽, 苏喻, 胡国平, 面向在线智慧学习的教育数据挖掘技术研究, 模式识别与人工智能, 31(1): 77-90, 2018. [PDF] [link]

  40. 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. [PDF] [SLIDE]
  41. Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu, Tracking knowledge Proficiency of Students with Educational Priors, The 26th ACM International Conference on Information and Knowledge Management (CKIM'2017): 989-998, Singapore, November 6-10, 2017. [PDF] [SLIDE]
  42. 朱天宇, 黄振亚, 陈恩红,刘淇,吴润泽,吴乐,苏喻,陈志刚,胡国平, 基于认知诊断的个性化试题推荐方法, 计算机学报, 40(1): 176-191,2017年1月. [PDF]
  43. 刘淇, 陈恩红, 黄振亚, 苏喻, 胡国平, 面向个性化学习的学生认知能力分析, 中国计算机学会通讯, 13(4), 2017年4月. [link]

  44. Le Wu, Yong Ge, Qi Liu, Enhong Chen*, Bai Long, Zhenya Huang, Modeling Users’ Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, The 30th AAAI Conference on Artificial Intelligence (AAAI'2016): 279-286, Phoenix, Arizona USA, February 12-17, 2016. [PDF]
  45. 黄振亚, 苏喻, 吴润泽, 刘玉苹, 刘淇, 陈志刚, 胡国平, 一种面向教育评估的智能教育辅助平台, 中国科学技术大学学报, 45(10): 846-854, 2015年10月. [PDF] [link]

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