I am Jianqing 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 have also had the privilege of collaborating with Qiang Yang at HKUST, Zhenzhe Zheng at Shanghai Jiao Tong University, and Yang Hua at Queen's University Belfast. Previously, I worked at the Shanghai Key Laboratory of Scalable Computing and Systems and earned my Master's degree from Shanghai Jiao Tong University in 2023.

My research interest is Data-Centric Vertical Model Optimization in the Code LLM, Synthetic Data Generation, Federated Learning, and Recommender System fields. I am also a passionate photographer, always seeking to capture the beauty of the world through my lens.

I am currently on the job market — feel free to reach out if you are interested!

• ByteDance | Machine Learning Platform - Security and Trust | Distributed Machine Learning
• Institute for AI Industry Research (AIR), Tsinghua University | Synthetic Dataset Generation | Federated Learning
• King Abdullah University of Science and Technology (KAUST) | SANDS lab | Federated Learning on Device
• Tencent | Code Model Group | Our product: CodeBuddy | Code Generation | Code Edit

• 🎉[diffusers] State-of-the-art diffusion models. [code] | Contributor
• 🎉[EvolveGen] Evolutional Data Generation Platform. [code]
• 🎉[PFLlib (1.7K+ stars)] PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark. [code]
• 🎉[HtFLlib] HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. [code]
• 🎉[FL-IoT] Federated Learning Algorithms in IoT Environments. [code]

Synthetic Data Generation

• 🎉[ICML'25 Spotlight] PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. [paper] [code]
  • Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang
• 🎉[ICML'25] Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. [paper] [code]
  • Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang
• 🎉[EMNLP'24] FuseGen: PLM Fusion for Data-Generation Based Zero-Shot Learning. [paper] [code]
  • Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang
• 🎉[CVPR'24] An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. [paper] [code]
  • Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

Heterogeneous Models Collaboration

• 🎉[KDD'25] HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. [paper] [code]
  • Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
• Adaptive Guidance for Local Training in Heterogeneous Federated Learning. [paper] [code]
  • Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang
• 🎉[AAAI'24] FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. [paper] [code]
  • Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

Personalized Federated Learning

• 🎉[JMLR'25] PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark. [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. [paper] [code]
  • Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
• 🎉[ICCV'23] GPFL: Simultaneously Learning Generic and Personalized Feature Information for Personalized Federated Learning. [paper] [code]
  • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
• 🎉[KDD'23] FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. [paper] [code]
  • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
• 🎉[AAAI'23 Oral] FedALA: Adaptive Local Aggregation for Personalized Federated Learning. [paper] [code]
  • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Other Work

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

• Invited conference reviewer for NeurIPS'24, ICLR'25, ICML'25, KDD'25, etc.
• Invited journal reviewer for IEEE TPAMI, IEEE TMC, IEEE TNNLS, ACM TKDD, ACM TIST, etc.

• Youth Talent of China Association for Science and Technology (China Association for Artificial Intelligence，CAAI)
• Wenjun Wu Honorary Doctorate Fellowship in Artificial Intelligence
• Doctorate National Scholarship
• International Photography Award (IPA) Official Selection
• Bronze Award of "Internet Plus" Competition

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