Guo, Han

13 publications

TMLR 2025 Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie

ICML 2025 On the Duality Between Gradient Transformations and Adapters Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim

NeurIPS 2025 Self-Adapting Language Models Adam Zweiger, Jyothish Pari, Han Guo, Yoon Kim, Pulkit Agrawal

ICML 2025 The Surprising Effectiveness of Test-Time Training for Few-Shot Learning Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas

ICLR 2025 Training-Free Activation Sparsity in Large Language Models James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun

ICLR 2024 LQ-LoRA: Low-Rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning Han Guo, Philip Greengard, Eric Xing, Yoon Kim

ICLR 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric Xing

ICLR 2023 Mpcformer: Fast, Performant and Private Transformer Inference with Mpc Dacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric Xing, Hao Zhang

CVPR 2022 VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny

ICLR 2021 CPT: Efficient Deep Neural Network Training via Cyclic Precision Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

AAAI 2020 Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits Han Guo, Ramakanth Pasunuru, Mohit Bansal

NeurIPS 2016 Correlated-PCA: Principal Components' Analysis When Data and Noise Are Correlated Namrata Vaswani, Han Guo

AISTATS 2016 Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees Jinchun Zhan, Brian Lois, Han Guo, Namrata Vaswani