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Haonan Chen (陈浩楠)
I am a third-year Ph.D. student at Gaoling School of Artificial
Intelligence (GSAI) in Renmin University of China,
supervised by Prof. Zhicheng
Dou.
Before that, I got my bachelor degree from Harbin Institute of Technology.
My research interest is the area of Information Retrieval (IR).
I am currently focusing on IR approaches driven by Large Language Models.
Email: hnchen (at) ruc (dot) edu (dot) cn
CV /
Github /
Google
Scholar
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News
[November, 2024] We have released the data synthesis models and
the embedding model of SPEED. See the space
on huggingface.
[October, 2024] We write a new paper about synthetic
embedding data. See the preprint
on arXiv.
[October, 2024] We write a new survey about conversational
search. See the preprint on
arXiv.
[June, 2024] One paper was accepted by TKDE,
thanks to all co-authors!
[May, 2024] One paper was accepted by ACL
2024 main conference, thanks to all co-authors!
[May, 2024] One paper was accepted by KDD
2024 applied data science track, thanks to all co-authors!
[February, 2024] Starting internship at MSRA NLC group!
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Experiences
Natural Language Computing (NLC) group, Microsoft Asia
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Research Intern in Beijing, Stars of Tomorrow. February 2024 -
Present.
Algorithm Innovation Lab, Huawei Cloud Computing Technologies
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Research Intern in Beijing. November 2022 - November 2023.
Huawei Poisson Lab.
Research Intern in Beijing. Mar 2022 - September 2022.
ByteDance.
Android Developing Intern in Beijing. Jun 2020 - Aug 2020.
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Talks
Enhancing User Behavior Sequence Modeling by Generative Tasks
for Session Search.
2022.10, BDAI Seminar, Renmin University of China. [Slides]
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Preprints(* equal contribution)
Little Giants: Synthesizing High-Quality Embedding Data at Scale
Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei,
Zhicheng Dou.
arXiv [Paper] / [Code]
A Survey of Conversational Search
Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi
Li, Yutao Zhu, Zhicheng Dou, and Jian-Yun Nie.
arXiv [Paper]
Large Language Models for Information Retrieval: A Survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan
Chen, Zhicheng Dou, and Ji-Rong Wen.
arXiv [Paper]
Publications(* equal contribution)
Query-oriented Data Augmentation for Session Search
Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen.
TKDE 2024 (Full Paper) (CCF A) [Paper]
Generalizing Conversational Dense Retrieval via LLM-Cognition Data
Augmentation
Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao.
ACL 2024 (Full Paper, Main Conference) (CCF A)
[Paper] / [Code]
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng
Wen.
KDD 2024 (Full Paper, Applied Data Science Track) (CCF A) [Paper]
Large Language Models Know Your Contextual Search Intent: A Prompting
Framework for Conversational Search
Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin
Qian.
Findings of EMNLP 2023 (Full Paper) (CCF B) [Paper] / [Code]
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session
Search
Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-rong
Wen.
CIKM 2022 (Full Paper) (CCF B) [Paper] / [Code]
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou.
CIKM 2022 (Full Paper) (CCF B) [Paper] / [Code]
RUCIR at the NTCIR-16 Session Search (SS) Task
Haonan Chen, Zhicheng Dou.
NTCIR-16 [Paper]
Integrating Representation and Interaction for Context-aware Document Ranking
Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-rong Wen.
TOIS 2022 (Full Paper) (CCF A) [Paper] / [Code]
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