Hi! I'm a second-year Ph.D. student in the Department of Computer Science at University College London, affiliated with the Web Intelligence Group of the Centre for Artificial Intelligence. I am grateful to be advised by Prof. Emine Yilmaz.

I aim to design systems that robustly and efficiently learn to understand human languages and web data to the end of advancing artificial intelligence web service and web information processing. My current research interests lie in natural language processing, information retrieval, machine learning, and data mining.

Feel free to reach me at yue [dot] feng [dot] 20 [at] ucl [dot] ac [dot] uk, or take my CV.

Education

University College London, UK
Ph.D. student,
advised by Prof. Emine Yilmaz, Sep. 2020 - Present
University of Chinese Academy of Sciences, China
M.S. in Computer Science,
advised by Prof. Jun Xu and Prof. Jiafeng Guo, Sep. 2016 - Jun. 2019.
Harbin Institute of Technology, China
B.S. in Computer Science,
Sep. 2012 - Jun. 2016.

Experience

ByteDance AI Lab, Beijing, China
Research Intern,
advised by Dr. Hang Li, April. 2020 - Sep. 2020

Publications

  1. Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, and Emine Yilmaz Annual Meeting of the Association for Computational Linguistics (ACL), 2022
  2. ASSIST: Towards Label Noise-Robust Dialogue State Tracking Fanghua Ye, Yue Feng, and Emine Yilmaz Annual Meeting of the Association for Computational Linguistics (In Findings of ACL), 2022
  3. A Sequence-to-Sequence Approach to Dialogue State Tracking Yue Feng, Yang Wang, and Hang Li Annual Meeting of the Association for Computational Linguistics (ACL), 2021
  4. Multi-Type Textual Reasoning for Product-Aware Answer Generation Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, and Ping Li International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
  5. A Reinforced Semi-supervised Neural Network for Helpful Review Identification Yue Feng, Miao Fan, Mingming Sun, and Ping Li ACM International Conference on Information and Knowledge Management (CIKM), 2020
  7. Teaching Machines to Extract Main Content for Machine Reading Comprehension Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng Association for the Advancement of Artificial Intelligence Conference (AAAI), 2019
  8. From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018
  9. A Globalization-Semantic Matching Neural Network for Paraphrase Identification Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, and Ping Li ACM International Conference on Information and Knowledge Management (CIKM), 2018
  10. FastInput: Improving Input Efficiency on Mobile Devices Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, and Ping Li ACM International Conference on Information and Knowledge Management (CIKM), 2018
  11. Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, and Ping Li ACM International Conferences on Web Search and Data Mining (WSDM), 2018
  12. Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews Miao Fan, Yue Feng, Mingming Sun, Ping Li, Haifeng Wang, and Jianmin Wang In IEEE/ACM International Conferenceon Advances in Social Networks Analysis and Mining (ASONAM) 2018