Yuzhen Mao

11 papers A* 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. CoRR Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung
2025	J	`jnl`	Mem-α: Learning Memory Construction via Reinforcement Learning. CoRR Yu Wang, Ryuichi Takanobu, Zhiqi Liang, Yuzhen Mao, Yuanzhe Hu, Julian J. McAuley, Xiaojian Wu
2025	J	`jnl`	Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity. CoRR Victor Li, Baiting Chen, Yuzhen Mao, Qi Lei, Zhun Deng
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	A*	`conf`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinform. Yuzhen Mao, Yen-Yi Lin, Nelson K. Y. Wong, Stanislav Volik, Funda Sar, Colin C. Collins, Martin Ester
2023	J	`jnl`	Dynamic Transfer Learning across Graphs. CoRR Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou
2023	J	`jnl`	Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. CoRR Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
2022	A*	`conf`	Augmenting Knowledge Transfer across Graphs. ICDM Yuzhen Mao, Jianhui Sun, Dawei Zhou
2022	J	`jnl`	Augmenting Knowledge Transfer across Graphs. CoRR Yuzhen Mao, Jianhui Sun, Dawei Zhou