Authenticity verification on social data outsourcing. - Haowen Chen; Qiang Qu; Yexiong Lin; Xia Chen; Keqin Li 001 (Comput. Secur., 2021)

Do We Need to Penalize Variance of Losses for Learning with Label Noise? - Yexiong Lin; Yu Yao 005; Yuxuan Du; Jun Yu 001; Bo Han 003; Mingming Gong; Tongliang Liu (CoRR, 2022)

CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. - Yexiong Lin; Yu Yao 005; Xiaolong Shi; Mingming Gong; Xu Shen 001; Dong Xu 001; Tongliang Liu (NeurIPS, 2023)

Learning the Latent Causal Structure for Modeling Label Noise. - Yexiong Lin; Yu Yao 005; Tongliang Liu (NeurIPS, 2024)

Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching. - Yexiong Lin; Yu Yao 005; Tongliang Liu (CoRR, 2025)