Asynchronous Distributed Bilevel Optimization. - Yang Jiao; Kai Yang 001; Tiancheng Wu; Dongjin Song; Chengtao Jian (ICLR, 2023)

Provably Convergent Federated Trilevel Learning. - Yang Jiao; Kai Yang; Tiancheng Wu; Chengtao Jian; Jianwei Huang (CoRR, 2023)

Provably Convergent Federated Trilevel Learning. - Yang Jiao; Kai Yang 001; Tiancheng Wu; Chengtao Jian; Jianwei Huang 001 (AAAI, 2024)

Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization. - Chengtao Jian; Kai Yang 001; Yang Jiao (NeurIPS, 2024)

Unlocking TriLevel Learning with Level-Wise Zeroth Order Constraints: Distributed Algorithms and Provable Non-Asymptotic Convergence. - Yang Jiao; Kai Yang 001; Chengtao Jian (CoRR, 2024)

A Nested Zeroth-Order Fine-Tuning Approach for Cloud-Edge LLM Agents. - Ya Liu 005; Kai Yang 001; Yu Zhu; Keying Yang; Chengtao Jian; Wuguang Ni; Xiaozhou Ye; Ye Ouyang (PAKDD (5), 2025)

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization. - Kai Yang 001; Zelin Zhu; Chengtao Jian; Hui Ma; Shengjie Zhao 001; Xiaozhou Ye; Ye Ouyang (CoRR, 2025)

Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization. - Chengtao Jian; Kai Yang 001; Ye Ouyang; Xiaozhou Ye (CoRR, 2025)