Bio

I am a third-year Ph.D. student jointly supervised by The University of Queensland (UQ) and Southern University of Science and Technology (SUSTech), advised by Prof. Yuhui Shi and Prof. Hongzhi Yin.

I received a B.E. in Applied Physics in 2017, and an M.S. in Computer Science in 2019, from South China University of Technology (SCUT) and Harbin Institute of Technology (HIT), respectively.

Research Interests

On-device Learning: Focuses on compressing large language models for mobile devices and leveraging on-device data for privacy-preserving model training;
Automated Machine Learning: Aims at automating the process of model design;
Graph Learning: Explores graph embedding techniques and their applications in recommendation systems;

Selected Publications

Survey Papers

Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, and Chengqi Zhang. “On-Device Recommender Systems: A Comprehensive Survey.” arXiv preprint arXiv:2401.11441 (2024). (Co-first author)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, and Hongzhi Yin. 2023. AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41, 4, Article 101 (October 2023), 38 pages. (Co-first author)

Research Papers

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, and Hongzhi Yin. “Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.” WWW ‘24. (CCF A and CORE A)*.
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Henry Nguyen, Zi Huang, Yuhui Shi, and Hongzhi Yin. 2023. Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW ‘23. (CCF A and CORE A)*
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, and Hongzhi Yin. 2022. Single-shot Embedding Dimension Search in Recommender System. SIGIR ’22 (CCF A and CORE A)*
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, and Hongzhi Yin. 2021. ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD ’21. Code (CCF A and CORE A)*
Liang Qu, Huaisheng Zhu, Qiqi Duan, and Yuhui Shi. 2020. Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW’20, Code (CCF A and CORE A)*

Co-authored Papers

Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, and Hongzhi Yin. "Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation." WWW 2024. (CCF A and CORE A)*.