Jingtong Gao

Jingtong Gao

💡 About Me [My CV]

I’m currently a third-year PhD student of Data Science at the City University of Hong Kong (CityU) under the advisory of Prof. Xiangyu Zhao. Prior to CityU, I completed my MSc under the advisory of Prof. Danwei Wang at Nanyang Technological University (NTU) in 2022 and my BEng under the advisory of Prof. Shaopeng Dong at Beihang University (BUAA) in 2021.

My research interest includes Recommender Systems, Large Language Models, Deep Reinforcement Learning and Machine Learning. I have published several papers at the top international AI conferences with .

🔥 News

🏆 Honors and Awards

2025

  • WWW’25 Student Travel Award

2024

2023

  • IJCAI’23 Travel Award
  • Research Tuition Scholarship (RTS-CityU 2023)
  • Outstanding Academic Performance Award (OAPA-CityU 2023)

💻 Professional Experience

  • 2024.08 - Present: Research Intern at Kuaishou
  • 2023 - 2024.06: Research Intern at Huawei
  • PC member of CIKM, IJCAI

📝 Publications

Tutorials

[4] Joint Modeling in Deep Recommender Systems
Pengyue Jia, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
WWW’25, Proceedings of the ACM Web Conference 2025

[3] Joint Modeling in Recommendations: Foundations and Frontiers
Xiangyu Zhao, Yichao Wang, Bo Chen, Pengyue Jia, Yuhao Wang, Jingtong Gao, Huifeng Guo, Ruiming Tang
IJCAI’23, Proceedings of the 32st International Joint Conference on Artificial Intelligence

[2] Trustworthy Recommender Systems: Foundations and Frontiers
Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
IJCAI’23, Proceedings of the 32nd International Joint Conference on Artificial Intelligence
KDD’23, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[CITE]

[1] A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
WWW’23, Companion Proceedings of the Web Conference 2023
[CITE]

Publications

[C10] Generative Auto-Bidding with Value-Guided Explorations
Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
SIGIR’25, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
1 online launched system at Kuaishou

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
Jian Jia, Jingtong Gao (Co-first), Ben Xue, Junhao Wang, Qingpeng Cai, Quan Chen, Xiangyu Zhao, Peng Jiang, Kun Gai
Arxiv

[C9] SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Xiangyu Zhao, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang
WWW’25, Proceedings of the ACM Web Conference 2025
Oral Presentation, 1 online launched system at Huawei
[CITE]

[C8] LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
WWW’25, Proceedings of the ACM Web Conference 2025
Oral Presentation
[CITE]

[C7] GAS: Generative Auto-bidding with Post-training Search
Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yujian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An
WWW’25, Proceedings of the ACM Web Conference 2025
[CITE]

[C6] GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu
KDD’25, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining

[J3] Multimodal Recommender Systems: A Survey
Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang
CSUR, ACM Computing Surveys
[CITE]

[C5] Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
CIKM’24, Proceedings of the 33nd ACM International Conference on Information & Knowledge Management
1 online launched system at Huawei
[CITE]

[C4] A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
IJCAI’23 Tutorial, WWW’23 Tutorial
[CITE]

[J2] SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations
Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
TOIS, Transactions on lnformation Systems
[CITE]

[C3] AutoTransfer: Instance Transfer for Cross-Domain Recommendations
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
[CITE]

[C2] LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
[CITE]

[C1] Multi-Task Recommendations with Reinforcement Learning
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
WWW’23, Proceedings of the ACM Web Conference 2023
[CITE]

[J1] DRN-GAN: an integrated deep learning-based health degradation assessment model for naval propulsion system
Jingtong Gao, Shaopeng Dong, Jin Cui, Mei Yuan, Juanru Zhao
Engineering Computations
[CITE]