Yue Feng (冯悦)

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
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University College London, UK Ph.D. student, advised by Prof. Emine Yilmaz, Sep. 2020 - Present |
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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. |
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Harbin Institute of Technology, China B.S. in Computer Science, Sep. 2012 - Jun. 2016. |
Experience
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ByteDance AI Lab, Beijing, China Research Intern, advised by Dr. Hang Li, April. 2020 - Sep. 2020 |
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Baidu Research, Beijing, China Research Intern, advised by Dr. Ping Li, Oct. 2019 - Mar. 2020. |
Publications
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Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking Annual Meeting of the Association for Computational Linguistics (ACL), 2022 -
ASSIST: Towards Label Noise-Robust Dialogue State Tracking Annual Meeting of the Association for Computational Linguistics (In Findings of ACL), 2022 -
A Sequence-to-Sequence Approach to Dialogue State Tracking Annual Meeting of the Association for Computational Linguistics (ACL), 2021 -
Multi-Type Textual Reasoning for Product-Aware Answer Generation International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 -
A Reinforced Semi-supervised Neural Network for Helpful Review Identification ACM International Conference on Information and Knowledge Management (CIKM), 2020 -
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts Annual Meeting of the Association for Computational Linguistics (ACL), 2020 -
Teaching Machines to Extract Main Content for Machine Reading Comprehension Association for the Advancement of Artificial Intelligence Conference (AAAI), 2019 -
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018 -
A Globalization-Semantic Matching Neural Network for Paraphrase Identification ACM International Conference on Information and Knowledge Management (CIKM), 2018 -
FastInput: Improving Input Efficiency on Mobile Devices ACM International Conference on Information and Knowledge Management (CIKM), 2018 -
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction ACM International Conferences on Web Search and Data Mining (WSDM), 2018 -
Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews In IEEE/ACM International Conferenceon Advances in Social Networks Analysis and Mining (ASONAM) 2018
Honors & Award
- SIGIR, ACL 2021 Student Travel Award.
- CIKM, ACL 2020 Student Travel Award.
- AAAI 2019 Student Travel Award.
- SIGIR, CIKM, WSDM 2018 Student Travel Award.
- 2020 Baidu Excellent Research Intern Star Award.
- 2016 National Scholarship in China, top 0.1%.