Augmenting Knowledge Transfer across Graphs. - Yuzhen Mao; Jianhui Sun; Dawei Zhou 003 (ICDM, 2022)

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. - Yuzhen Mao; Zhun Deng; Huaxiu Yao; Ting Ye; Kenji Kawaguchi; James Zou 001 (CoRR, 2023)

Dynamic Transfer Learning across Graphs. - Haohui Wang; Yuzhen Mao; Jianhui Sun; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. - Yuzhen Mao; Martin Ester; Ke Li 011 (ICLR, 2024)

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. - Haohui Wang; Yuzhen Mao; Yujun Yan; Yaoqing Yang; Jianhui Sun; Kevin Choi; Balaji Veeramani; Alison Hu; Edward Bowen; Tyler Cody; Dawei Zhou 003 (ICML, 2024)

Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. - Yuzhen Mao; Yen-Yi Lin; Nelson K. Y. Wong; Stanislav Volik; Funda Sar; Colin C. Collins; Martin Ester (Bioinform., 2024)

ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. - Amartya Mukherjee; Ruizhi Deng; He Zhao; Yuzhen Mao; Leonid Sigal; Frederick Tung (CoRR, 2025)

Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity. - Victor Li; Baiting Chen; Yuzhen Mao; Qi Lei; Zhun Deng (CoRR, 2025)