Only do what interests you in your life. –––Jianqing Zhang

I am Jianqing (Tsing) Zhang, a first-year PhD student in Computer Science at Shanghai Jiao Tong University under the supervision of Jian Cao. I completed my Master's degree at the same institution and was fortunate to work with Ruhui Ma and Tao Song in 2023. I earned my Bachelor's degree at Hangzhou Dianzi University and was fortunate to work with Dongjin Yu and Dongjing Wang in 2020. My research interests include Federated Learning, Transfer Learning, Edge AI, and Recommender Systems. Both my PhD advisor and I believe that collaboration, which is also one of the core ideas of Federated Learning, is essential for scientific research. So far, I have worked with Yang Liu from Tsinghua University, Yang Hua from Queen's University Belfast, and Hao Wang from Louisiana State University. I am sincerely grateful for their invaluable knowledge and support. Additionally, I am also a photographer with a passion for capturing the beauty of the world.

• ByteDance | Machine Learning Platform - Security and Trust | Contribute to the open-source project fedlearner

Stage Ⅱ: heterogeneous federated learning

• 🎉[HtFLlib] Data-Free Federated Learning Algorithm Library in Data and Model Heterogeneous Scenarios. [code]
• 🎉[CVPR'24] An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. >>>Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao<<< [paper] [code]
• 🎉[AAAI'24] FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. >>>Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao<<< [paper] [code]

Stage Ⅰ: personalized federated learning

• 🎉[PFLlib] Personalized Federated Learning Algorithm Library. [paper] [code] >>>Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao<<<
• 🎉[NeurIPS'23] Eliminating Domain Bias for Federated Learning in Representation Space. >>>Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan<<< [paper] [code]
• 🎉[ICCV'23] GPFL: Simultaneously Learning Generic and Personalized Feature Information for Personalized Federated Learning. >>>Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan<<< [paper] [code]
• 🎉[KDD'23] FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. >>>Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan<<< [paper] [code]
• 🎉[AAAI'23] FedALA: Adaptive Local Aggregation for Personalized Federated Learning. >>>Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan<<< [paper] [code]

Other work

• 🎉[IEEE Transactions on Cognitive and Developmental Systems] pFedEff: An Efficient and Personalized Federated Cognitive Learning Framework in Multi-agent Systems. >>>Hongjian Shi, Jianqing Zhang, Shuming Fan, Ruhui Ma, Haibing Guan<<< [paper]
• 🎉[Neurocomputing] TLSAN: Time-aware long-and short-term attention network for next-item recommendation. >>>Jianqing Zhang, Dongjing Wang, Dongjin Yu<<< [paper] [code]

My photography gallery can be found at: https://tsing.tuchong.com/work/

• 🎉[2022] International Photography Award (IPA) official selection
• 🎉[2020] Top 30 in the Metro Yunchuang Photo Contest