Publications

(*) denotes the corresponding author.

2026

• 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.

2025

• 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.

2021

• Towards embedding information diffusion data for understanding big dynamic networks. [PDF]

  Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan.

  In Neurocomputing 2021.

2019

• Unsupervised neural machine translation with future rewarding.

  Xiangpeng Wei, Yue Hu, Luxi Xing, Li Gao.

  In CoNLL 2019, Proceedings of the 23rd Conference on Computational Natural Language Learning.

• Translating with bilingual topic knowledge for neural machine translation.

  Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao.

  In AAAI 2019, The Thirty-Third AAAI Conference on Artificial Intelligence.

2018

• Active discriminative network representation learning. [PDF]

  Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu.

  In IJCAI 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence.

• Recommendation with multi-source heterogeneous information. [PDF]

  Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu.

  In IJCAI 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence.

2017

• Collaborative dynamic sparse topic regression with user profile evolution for item recommendation. [PDF]

  Li Gao, Jia Wu, Chuan Zhou, Yue Hu.

  In AAAI 2017, The Thirty-First AAAI Conference on Artificial Intelligence.

2016

• Semi-Data-Driven Network Coarsening. [PDF]

  Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu.

  In IJCAI 2016, Proceedings of the 25th International Joint Conference on Artificial Intelligence.

• Collaborative social group influence for event recommendation. [PDF]

  Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu.

  In CIKM 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management.

• Query expansion for exploratory search with subtopic discovery in Community Question Answering.

  Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu.

  In IJCNN 2016, International Joint Conference on Neural Networks.

• A recursive method for big network influence estimation.

  Wei-Xue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu.

  In IJCNN 2016, International Joint Conference on Neural Networks.

2015

• Influence maximization in big networks: an incremental algorithm for streaming subgraph influence spread estimation.

  Wei-Xue Lu, Peng Zhang, Chuan Zhou, Chunyi Liu, Li Gao.

  In IJCAI 2015, Proceedings of the 24th International Joint Conference on Artificial Intelligence.