Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning. - Jiaxi Yang 003; Sheng Cao; Peng Xiangli; Xiong Li 002; Xiaosong Zhang 001 (WASA (3), 2022)

Matching-based Data Valuation for Generative Model. - Jiaxi Yang 003; Wenglong Deng; Benlin Liu; Yangsibo Huang; Xiaoxiao Li (CoRR, 2023)

Federated Learning Incentive Mechanism under Buyers' Auction Market. - Jiaxi Yang 003; Zihao Guo; Sheng Cao; Cuifang Zhao; Li-Chuan Tsai (CoRR, 2023)

Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning. - Jiaxi Yang 003; Sheng Cao; Cuifang Zhao; Weina Niu; Li-Chuan Tsai (WCNC, 2024)

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. - Congzhen Shi; Ryan Rezai; Jiaxi Yang 003; Qi Dou 001; Xiaoxiao Li (CoRR, 2024)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework. - Yang Zhao 017; Jiaxi Yang 003; Wenbo Wang 004; Helin Yang; Dusit Niyato (IEEE Internet Things J., 2024)

GMValuator: Similarity-based Data Valuation for Generative Models. - Jiaxi Yang 003; Wenlong Deng; Benlin Liu; Yangsibo Huang; James Zou; Xiaoxiao Li (ICLR, 2025)

Unlearning for Federated Online Learning to Rank: A Reproducibility Study. - Yiling Tao; Shuyi Wang 001; Jiaxi Yang 003; Guido Zuccon (SIGIR, 2025)

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. - Jiaxi Yang 003; Mengqi Zhang; Yiqiao Jin; Hao Chen 102; Qingsong Wen; Lu Lin; Yi He; Weijie Xu; James Evans; Jindong Wang 001 (CoRR, 2025)