Fengran Mo

Ph.D. Student

RALI Lab, Department of Computer Science and Operations Research (DIRO), Université de Montréal, Montréal, Québec, Canada

Email: fengran.mo@umontreal.ca

I am a second-year Ph.D. student at the RALI Lab of Université de Montréal. I am fortunate to be advised by Prof. Jian-Yun Nie. I obtained my Master degree in Computer Science from Université de Montréal, Canada (08.2022), advised by Prof. Jian-Yun Nie, and Bachelor degree from Dalian University of Technology, China (07.2020), advised by Prof. Degen Huang. Specifically, my research interests focus on natural language processing and information retrieval, especially conversational information retrieval (CIR), question answering (QA), retrieval-augmented generation (RAG), etc. I have ever received Best Paper Award Nominations in WWW 2023 and was awarded the Canada Mitacs Globalink Research Scholarship, Montreal AI Scholarship (2021), and Bourses d'excellence Merit Student (2021-2023). I also served as a reviewer for ACL, WSDM, CIKM, EMNLP, NAACL, COLING, WWW, ECIR, etc.

---

Publications [Google Scholar]

 (* denotes equal contributions)

• Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie. ConvSDG: Session Data Generation for Conversational Search. In Companion Proceedings of WWW 2024.
• Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie. History-Aware Conversational Dense Retrieval. In Arxiv Preprint.
• Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie. Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. In Proceedings of WSDM 2024 (Oral).
• Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu. Learning to Relate to Previous Turns in Conversational Search. In Proceedings of SIGKDD 2023 (Oral).
• Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie. ConvGQR: Generative Query Reformulation for Conversational Search. In Proceedings of ACL 2023 (Oral).
• Huimin Chen*, Fengran Mo*, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui. A Customized Text Sanitization Mechanism with Differential Privacy. In Findings of ACL 2023.
• Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao. Search-oriented Conversational Query Editing. In Findings of ACL 2023.
• Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao. Learning Denoised and Interpretable Session Representation for Conversational Search. In Proceedings of WWW 2023. [Spotlight-Best Paper Award Nominations]
• Kelong Mao, Zhicheng Dou, Fengran Mo, Haonan Chen, Hongjin Qian, Jiewen Hou. Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. In Findings of EMNLP 2023.
• Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal. MOQA: Zero-Shot Multi-modal Open-domain Question Answering. In Findings of EMNLP 2023.
• Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao. ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. In Proceedings of EMNLP 2022.
• Kaiyu Huang, Keli Xiao, Fengran Mo, Bo Jin, Zhuang Liu, Degen Huang. Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model. TALLIP (2021).
• Kaiyu Huang, Degen Huang, Zhuang Liu Fengran Mo. A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation. In Proceedings of EMNLP 2020.