Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. - Yaning Jia; Dongmian Zou; Hongfei Wang; Hai Jin 001 (KDD, 2023)

Promoting Fairness in GNNs: A Characterization of Stability. - Yaning Jia; Chunhui Zhang (CoRR, 2023)

Aligning Relational Learning with Lipschitz Fairness. - Yaning Jia; Chunhui Zhang; Soroush Vosoughi (ICLR, 2024)

Scaled Supervision is an Implicit Lipschitz Regularizer. - Zhongyu Ouyang; Chunhui Zhang; Yaning Jia; Soroush Vosoughi (ICWSM, 2025)

Robust optimization algorithm of RF MEMS switches considering uncertainties. - Hao Yan 002; Yaning Jia; Chuangyuan Zeng; Xiaoping Liao; Xiao Shi 001 (Integr., 2025)

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? - Chiyu Ma; Enpei Zhang; Yilun Zhao 001; Wenjun Liu; Yaning Jia; Peijun Qing; Lin Shi; Arman Cohan; Yujun Yan; Soroush Vosoughi (CoRR, 2025)

KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity. - Yaning Jia; Shenyang Deng; Chiyu Ma; Yaoqing Yang; Soroush Vosoughi (CoRR, 2025)