Skip to content
View TsingZ0's full-sized avatar
✏️
writing papers
✏️
writing papers

Block or report TsingZ0

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
TsingZ0/README.md

Biography

Pursue what truly interests you in life. –––Jianqing Zhang

I am Jianqing (Tsing) Zhang, a second-year PhD student in Computer Science, co-supervised by Yang Liu at Tsinghua University and Jian Cao at Shanghai Jiao Tong University. I completed my Master’s degree at Shanghai Jiao Tong University in 2023, where I had the privilege of working with Ruhui Ma and Tao Song. I earned my Bachelor’s degree at Hangzhou Dianzi University in 2020, and was fortunate to work with Dongjin Yu and Dongjing Wang.

My research interests include Customizable Synthetic Data Generation, Large and Small Models Collaboration, and Federated Learning. Please see slides for a summary. My PhD advisors and I strongly believe that collaboration—a core principle of Federated Learning—is fundamental to advancing scientific research. To date, I have had the privilege of collaborating with Yang Hua from Queen's University Belfast and Hao Wang from Stevens Institute of Technology, and I am deeply grateful for their invaluable insights and support. Additionally, I am a passionate photographer, always seeking to capture the beauty of the world through my lens.

Internships

  • ByteDance | Machine Learning Platform - Security and Trust | Contributor to the open-source project FedLearner

Open-source Software

  • 🎉[PFLlib (1K+ stars)] Personalized Federated Learning Algorithm Library. [paper] [code] >>>Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao<<<
  • 🎉[HtFLlib] Heterogeneous Federated Learning Algorithm Library. [code]
  • 🎉[FL-IoT] Federated Learning Algorithms in IoT Environments. [code]

Featured Publications

Stage Ⅳ (Large Models): Customizable Synthetic Data Generation

  • FuseGen: PLM Fusion for Data-Generation Based Zero-Shot Learning. >>>Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang<<< [paper] [code]

Stage Ⅲ (Large and Small Models): Large and Small Models Collaboration

  • 🎉[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]

Stage Ⅱ (Small Models): Heterogeneous Federated Learning

  • 🎉[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 (Small Models): Personalized Federated Learning

  • 🎉[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]

Photography

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 Competition

Pinned Loading

  1. PFLlib PFLlib Public

    37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

    Python 1.4k 287

  2. HtFLlib HtFLlib Public

    Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

    Python 93 3

  3. FedKTL FedKTL Public

    CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

    Python 33 2

  4. FedTGP FedTGP Public

    AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

    Python 29 3

  5. DBE DBE Public

    NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space

    Python 18 1

  6. GPFL GPFL Public

    ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

    Python 16 1