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Welcome to Peiyao Xiao's Homepage
About me
I am a Ph.D. student in the Computer Science and Engineering Department at UB, supervised by Prof. Kaiyi Ji. I got the M.S. degree from King Abdullah University of Science and Technology (KAUST) in 2022. I received the B.S. degree from Southern University of Science and Technology (SUSTech).
Research
My research interests include
Generative AI: LLM post-training (RLHF), Token pruning in VLMs
Optimization: Multi-objective optimization, Bilevel optimization, and their applications in LLMs
Machine learning: AI4Science, Federated learning
Find out more.
Recent Publications
Scalable Bilevel Loss Balancing for Multi-Task Learning
Peiyao Xiao, Chaosheng Dong, Shaofeng Zou, and Kaiyi Ji. arXiv:2502.08585.
ReciNet: Reciprocal Space-Aware Long-Range Modeling for
Crystalline Property Prediction
Jianan Nie, Peiyao Xiao, Kaiyi Ji, Peng Gao. arXiv: 2502.02748.
Theoretical study of conflict-avoidant multi-objective reinforcement learning
Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou. IEEE Transactions on Information Theory
First-Order Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2025
MGDA Converges under Generalized Smoothness, Provably
Qi Zhang, Peiyao Xiao, Shaofeng Zoo, and Kaiyi Ji. International Conference on Learning Representations (ICLR) 2025.
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao, Hao Ban and Kaiyi Ji. Advances in Neural Information Processing Systems (NeurIPS) 2023.
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang, Peiyao Xiao and Kaiyi Ji. Advances in Neural Information Processing Systems (NeurIPS) 2023. (Spotlight, 3% Acceptance)
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