Chenlong Deng (邓琛龙)

Chenlong Deng

邓琛龙

Fourth-year PhD Student

Gaoling School of Artificial Intelligence Renmin University of China

About

Chenlong Deng is a fourth-year PhD student at the Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Zhicheng Dou. He received his Bachelor's degree in Computer Science from Renmin University of China in 2022.

His research lies at the intersection of Large Language Models (LLMs) and Information Retrieval (IR), with a current focus on two directions:

  1. Efficient Long-Context Language Models: exploring sparsity and compression techniques to enable LLMs to process extended contexts efficiently.
  2. Deep Search Agents: investigating LLM-based agentic systems for complex, multi-step information seeking.

His work is grounded in years of research experience in information retrieval, spanning both fundamental and applied topics.

He is actively seeking research internship and full-time opportunities. Feel free to reach out if you are interested in collaboration.

Education & Experience

Education

Renmin University of China logo

Renmin University of China

PhD in Artificial Intelligence

Beijing, China

2022 - Present
Renmin University of China logo

Renmin University of China

B.Eng. in Computer Science

Beijing, China

2018 - 2022

Experience

Tencent AI Lab logo

Tencent AI Lab

Research Intern

Shenzhen, China

Apr 2024 - Jul 2025

News

2026-02

We released DeepImageSearch, defining a new paradigm for image retrieval.

2025-09

1 paper accepted to NeurIPS 2025 🎉 Thanks to all collaborators!

2025-07

2 papers accepted to ACL 2025, including 1 Oral 🎉 Thanks to all collaborators!

2024-09

4 papers accepted to EMNLP 2024 🎉 Thanks to all collaborators!

Selected Publications

View All
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

Chenlong Deng, Mengjie Deng, Junjie Wu, Dun Zeng, Teng Wang, Qingsong Xie, Jiadeng Huang, Shengjie Ma, Changwang Zhang, Zhaoxiang Wang, Jun Wang, Yutao Zhu, Zhicheng Dou

arXivPaper
UniGist: Towards General and Hardware-Aligned Sequence-Level Long Context Compression

UniGist: Towards General and Hardware-Aligned Sequence-Level Long Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Tianqing Fang, Hongming Zhang, Haitao Mi, Dong Yu, Zhicheng Dou

NeurIPS 2025Paper
Large Language Models for Information Retrieval: A Survey

Large Language Models for Information Retrieval: A Survey

Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan Chen, Zheng Liu, Zhicheng Dou, Ji-Rong Wen

TOIS 2025Paper