Yang Veronica Liu's Homepage

Biography

Dr Yang Liu is currently an Associate Professor (Presidential Young Scholar) in the Department of Computing,  with a joint appointment in the Department of Data Science & Artificial Intelligence at HK Polytechnic University. Before joining PolyU, she was an Associate Professor at Institute for AI Industry Research (AIR), Tsinghua University.  She was a Principal Researcher  and Research Lead in the AI Department of WeBank from 2018 to 2021. Her research interests include machine learning, federated learning, trustworthy AI, statistical mechanics and applications of these technologies in the industry. She received her PhD from Princeton University in 2012 and her Bachelor's degree from Tsinghua University in 2007. She holds more than 30 patents. Her research has been published in leading scientific conferences and journals with over 24,000 citations. She co-authored the book "Federated Learning" - the first monograph on the topic of federated learning. Her research work has been recognized with multiple awards, such as CCF Technology Award, AAAI Innovation Award and IJCAI Innovation Award. She serves as an Associate Editor for ACM TIST since 2021. Her research results have been adopted by leading privacy-preserving projects and are widely applied in real-world applications. She is recognized by MIT Technology Review as the “Privacy-Preserving Computation Tech Innovators China” in 2022. 

Hiring!

Our team is actively looking for fully funded PhD students, postdoc researchers, student interns, research engineers at PolyU, if you are interested in research in federated learning, collaborative AI, AI for scientific and industrial applications,  please contact me at yang-veronica.liu@polyu.edu.hk.  All CVs will be carefully considered, but only matched ones will be responded due to volume. 

News!

• 05/2025: Two papers accepted to KDD 2025 Datasets and Benchmarks Track.

  • • • • Gu Zixuan, Fan Qiufeng, Sun Long, Ye Xiaojun, Liu Yang, VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs.

        •  Zhang Jianqing, Wu Xinghao, Zhou Yanbing, Sun Xiaoting, Cai Qiqi, Liu Yang, Hua Yang, Zheng Zhenzhe, Cao Jian, Yang Qiang, HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark (Oral).

• 05/2025: Two papers accepted to ICML 2025, with one spotlight. 

  • • • • Zou Tianyuan; Liu Yang; Li Peng; Xiong Yufei; Zhang Jianqing; Liu Jingjing; Ye Xiaozhou; Ouyang Ye, Zhang Ya-Qin. (2025). Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion.

        • Zhang Jianqing, Liu Yang, FU JIE, Hua Yang, Zou Tianyuan, Cao Jian, Yang Qiang. (2025). Differentially Private Synthetic Image Generation with Few-Shot Data and Generative APIs. (Spotlight).

• 04/2025：Serve as Area Chair for NeurIPS 2025.