Suffoquer
Fang Yan (方言)
My name is Yan Fang (方言). I am currently a deep learning engineer focusing on fintech. I obtained my Master’s degree from THUIR Lab in the Department of Computer Science and Technology at Tsinghua University, where I also completed my Bachelor’s degree. My research revolves around Information Retrieval (IR) and Natural Language Processing (NLP), with a focus on dense retrieval and large language models. Additionally, I have a keen interest in Reinforcement Learning (RL) techniques, machine/deep learning systems. You can find my CV here.
Interests
Applied AI Systems
Video Games
Coding
Education
-
Bachelor, 2017 - 2021
DCST, Tsinghua University
-
Master, 2021 - 2024
DCST, Tsinghua University
Publications
-
Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, and Minlie Huang. 2020. ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 142–149, Online. Association for Computational Linguistics.
-
Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, and Shaoping Ma. 2022. Axiomatically Regularized Pre-training for Ad hoc Search. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ‘22). Association for Computing Machinery, New York, NY, USA, 1524–1534.
-
Yan Fang, Jingtao Zhan, Yiqun Liu, Jiaxin Mao, Min Zhang, and Shaoping Ma. 2022. Joint Optimization of Multi-vector Representation with Product Quantization. In Natural Language Processing and Chinese Computing. NLPCC 2022
-
Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, and Meng Wang. 2024. Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. In Companion Proceedings of the ACM on Web Conference 2024 (WWW ‘24). Association for Computing Machinery, New York, NY, USA, 10–19.
-
Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu and Zhao Cao. 2024. Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. In Proceedings of the AAAI Conference on Artificial Intelligence. 38, 16 (Mar. 2024), 17994–18002.
-
Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen and Yiqun Liu. 2024. Scaling Laws For Dense Retrieval In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ‘24 Best Paper).
