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Li Gao (高礼)

Senior R&D at Baidu Inc.

Beijing, China

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I am currently a Senior R&D Engineer at Baidu Search, enhancing the search experience based on both large and small language models as well as agentic capabilities since 2020. Prior to that, I served as an Applied Researcher specializing in recommendation systems at Tencent from 2018 to 2020. I earned my Ph.D. in 2018 from the Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS), under the supervision of Prof. Yue Hu. My research interests focus on applied large language models (LLMs), search engines, and recommendation systems.

Recent News

  • [2026/05] One paper about Event Timeline Summarization was accepted at KDD 2026.
  • [2026/04] One paper about Content Expiration Time Prediction was accepted at SIGIR 2026.
  • [2026/02] One paper about Visual Spatial Reasoning was accepted at CVPR 2026, and honored with the CVPR Compute Transparency Champion Award.
  • [2025/08] One paper about Generative Text Summarization was accepted at CIKM 2025.
  • [2025/05] One paper about Multi-Turn Conversation was accepted at ACL 2025.
  • [2024/12] One paper about Personalized News Recommendation was accepted at AAAI 2025.
  • [2024/11] Two papers about Video Quality Assessment and Cross-Domain Recommendation were accepted at KDD 2025.

Recent Publications

(*) denotes the corresponding author.

  • A Graph-enhanced LLM Approach for Structure-guided Long Document Extractive Summarization.

    Qin Zhang, Ziqi Liu, Riqiang Mao, Li Gao, Han Liu, Hengzhu Tang, Daiting Shi, Dawei Yin, Chengqi Zhang.

    IEEE Transactions on Knowledge and Data Engineering (TKDE, under review).

  • Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search. [PDF]

    Mingyue Wang, Xingyu Xie, Hang Yang, Li Gao*, Lixin Su, Ge Chen, Dawei Yin, Daiting Shi.

    In KDD 2026, Applied Data Science (ADS) Track, Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

  • RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search. [PDF]

    Tingyu Chen, Wenkai Zhang, Li Gao*, Lixin Su, Ge Chen, Dawei Yin, Daiting Shi.

    In SIGIR 2026 (Industry Track), Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.

  • COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence. [PDF]

    Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu.

    In CVPR 2026 (Findings), Proceedings of the Computer Vision and Pattern Recognition Conference.

  • Proactive Guidance of Multi-Turn Conversation in Industrial Search. [PDF]

    Xiaoyu Li, Xiao Li, Li Gao*, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin.

    In ACL 2025 (Industry Track), Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.

  • Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. [PDF]

    Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao*, Suqi Cheng, Dawei Yin.

    In KDD 2025, Applied Data Science (ADS) Track, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

  • Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. [PDF]

    Zeyu Xiong, Yixuan Nan, Li Gao*, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin.

    In CIKM 2025, Proceedings of the 34th ACM International Conference on Information and Knowledge Management.

  • Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. [PDF]

    Shicheng Wang, Hengzhu Tang, Li Gao*, Shu Guo*, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang.

    In AAAI 2025, Proceedings of the AAAI Conference on Artificial Intelligence.

  • Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. [PDF]

    Xiaodong Li, Hengzhu Tang, Jiawei Sheng*, Xinghua Zhang, Li Gao*, Suqi Cheng, Dawei Yin, Tingwen Liu.

    In KDD 2025, Research Track, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

See all my publications here.

Professional Services

  • KDD (Applied Data Science Track): 2026, 2025
  • ACL ARR: 2026