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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 large and small language models 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.

Currently, our team is actively recruiting highly self-motivated research interns and full-time researchers/engineers. If you are interested in joining us, please send your CV to gaoli05 [at] baidu.com.

Recent Publications

(*) denotes the corresponding author.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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 (ADS Track): 2026, 2025