Yuzhen Mao

According to our database, Yuzhen Mao authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Forget, Then Recall: Learnable Compression and Selective Unfolding via Gist Sparse Attention.

Yuzhen Mao, Michael Y. Li, Emily B. Fox

CoRR, April, 2026

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs.

Yuzhen Mao, Qitong Wang, Martin Ester, Ke Li

CoRR, April, 2026

ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes.

Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung

Trans. Mach. Learn. Res., 2026

2025

Mem-α: Learning Memory Construction via Reinforcement Learning.

Yu Wang, Ryuichi Takanobu, Zhiqi Liang, Yuzhen Mao, Yuanzhe Hu, Julian J. McAuley, Xiaojian Wu

CoRR, September, 2025

Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity.

Victor Li, Baiting Chen, Yuzhen Mao, Qi Lei, Zhun Deng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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., February, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs.

Yuzhen Mao, Martin Ester, Ke Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Dynamic Transfer Learning across Graphs.

Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou

CoRR, 2023

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks.

Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou

CoRR, 2023

2022

Augmenting Knowledge Transfer across Graphs.

Yuzhen Mao, Jianhui Sun, Dawei Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022