Lu, Yifu

8 publications

ICML 2025 Attention-Only Transformers via Unrolled Subspace Denoising Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma

NeurIPS 2025 Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi

ICLR 2025 ELFS: Label-Free Coreset Selection with Proxy Training Dynamics Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash

ICLR 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele

NeurIPS 2024 Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu

CVPR 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu

ICML 2024 The Emergence of Reproducibility and Consistency in Diffusion Models Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu

AAAI 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li