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.
Publications
(*) denotes the corresponding author.
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COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence. [PDF]
arXiv preprint arXiv:2512.04563.
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Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. [PDF]
In CIKM 2025, Proceedings of the 34th ACM International Conference on Information and Knowledge Management.
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Proactive Guidance of Multi-Turn Conversation in Industrial Search. [PDF]
In ACL 2025 (Industry Track), Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.
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Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. [PDF]
In AAAI 2025, Proceedings of the AAAI Conference on Artificial Intelligence.
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Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. [PDF]
In KDD 2025, Applied Data Science (ADS) Track, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. [PDF]
In KDD 2025, Research Track, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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Towards embedding information diffusion data for understanding big dynamic networks. [PDF]
In Neurocomputing 2021.
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Unsupervised neural machine translation with future rewarding.
In CoNLL 2019, Proceedings of the 23rd Conference on Computational Natural Language Learning.
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Translating with bilingual topic knowledge for neural machine translation.
In AAAI 2019, The Thirty-Third AAAI Conference on Artificial Intelligence.
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Active discriminative network representation learning. [PDF]
In IJCAI 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence.
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Recommendation with multi-source heterogeneous information. [PDF]
In IJCAI 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence.
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Collaborative dynamic sparse topic regression with user profile evolution for item recommendation. [PDF]
In AAAI 2017, The Thirty-First AAAI Conference on Artificial Intelligence.
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Semi-Data-Driven Network Coarsening. [PDF]
In IJCAI 2016, Proceedings of the 25th International Joint Conference on Artificial Intelligence.
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Collaborative social group influence for event recommendation. [PDF]
In CIKM 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management.
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Query expansion for exploratory search with subtopic discovery in Community Question Answering.
In IJCNN 2016, International Joint Conference on Neural Networks.
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A recursive method for big network influence estimation.
In IJCNN 2016, International Joint Conference on Neural Networks.
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Influence maximization in big networks: an incremental algorithm for streaming subgraph influence spread estimation.
In IJCAI 2015, Proceedings of the 24th International Joint Conference on Artificial Intelligence.
Professional Services
- KDD (ADS Track): 2026, 2025