I am Jianqing Zhang, a third-year PhD student in Computer Science, co-supervised by Yang Liu at The Hong Kong Polytechnic University and Jian Cao at Shanghai Jiao Tong University. I have also had the privilege of collaborating with Qiang Yang at The Hong Kong Polytechnic University, 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 interests include Data-Centric Model Adaptation in the fields of Code LLM Reinforcement Learning, Synthetic Data Generation, Federated Learning, and Recommender Systems. 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
• Tsinghua University | AIR Institute | Synthetic Dataset Generation | Federated Learning
• King Abdullah University of Science and Technology (KAUST) | SANDS Lab | Federated Learning on Device
• Tencent | CodeBuddy's AI Model Group | Code LLM Reinforcement Learning

• 🎉[diffusers] State-of-the-art diffusion models. [code] | Contributor
• 🎉[EvolveGen] Evolutional Data Generation Platform. [code]
• 🎉[PFLlib, 1.9K+ 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]
• 🎉[HtFL-OnDevice] HtFL-OnDevice: A Practical Platform for Heterogeneous Federated Learning on Real Heterogeneous Devices. [code]
• 🎉[FL-IoT] Federated Learning Algorithms in IoT Environments. [code]

Code LLM Reinforcement Learning

• Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization.

  Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

• Group Adaptive Policy Optimization for Code Models.

  Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

• Plug-and-Play Data Module: Adaptive Replay of Ambiguous Data for Reinforcement Learning in Code Models.

  Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

Synthetic Data Generation

• 🎉[ICML'25 Spotlight Paper] 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 Best Paper] 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 Paper] 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

• 🎉KDD Best Paper Award (Runner Up, Paper: HtFLlib)
• 🎉World Artificial Intelligence Conference (WAIC) Youth Outstanding Paper Award Top 40
• 🎉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

• Invited program committee member of AAAI'26
• Invited conference reviewer for NeurIPS'24, ICLR'25, ICML'25, KDD'25, etc.
• Invited journal reviewer for IEEE TPAMI, IEEE TDSC, IEEE TMC, IEEE TNNLS, ACM TKDD, ACM TIST, etc.

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