Jingtong Gao 高璟桐Ph.D. School of Data Science City University of Hong Kong (CityU) Email: jt.g@my.cityu.edu.hk |
|
Brief Biography
Jingtong Gao is a Ph.D. student of Data Science at City University of Hong Kong (CityU) under the advisory of Prof. Xiangyu Zhao. Prior to CityU, he completed his MSc under the advisory of Prof. Wang Dan Wei at NTU in 2022 and his B.Eng. under the advisory of Prof. Shaopeng Dong at BUAA in 2021.
Research Interests/Areas
Recommender Systems, Large Language Model, Deep Reinforcement Learning, Machine Learning, Computer Vision, Robotics.
Awards and Prizes
2024
- Second place overall in the “KDD CUP 2024 (Multi-Task Online Shopping Challenge for LLMs)” competition hosted by Amazon. (Group AML666)
2023
- IJCAI’23 Travel Award
- Research Tuition Scholarship (RTS-CityU)
- Outstanding Academic Performance Award (OAPA-CityU)
News
- 2024.08: Our survey “Multimodal Recommender Systems: A Survey” has been accepted by CSUR.
- 2024.07: Our LLM-based reranking framework “LLM-enhanced Reranking in Recommender Systems” is available on arxiv, welcome to cite it.
- 2024.07: We achieved second place overall in the “KDD CUP 2024 (Multi-Task Online Shopping Challenge for LLMs)” competition hosted by Amazon. (Third place in three tracks and second place in two tracks)
- 2024.07: Our multiscenario recommendation framework HierRec has been accepted by CIKM2024 and deployed in related services of Huawei. Welcome to cite it.
- 2024.03: I work as a PC member of CIKM 2024.
- 2024.02: I work as a reviewer of KDD 2024.
- 2024.02: I work as a reviewer of TKDD.
Publications and Tutorials
Tutorials
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
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]
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
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]
LLM-enhanced Reranking in Recommender Systems
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
arxiv
[LINK]
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
[LINK]
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]
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]
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]
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]
DRN-GAN: an integrated deep learning-based health degradation assessment model for naval propulsion system
Gao, Jingtong and Dong, Shaopeng and Cui, Jin and Yuan, Mei, Zhao, Juanru
Engineering Computations
[CITE]