Han, Boran

18 publications

ICLR 2026 Understanding Transformers for Time Series: Rank Structure, Flow-of-Ranks, and Compressibility Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

ICLR 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

AISTATS 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang

ICML 2025 Enhancing Foundation Models for Time Series Forecasting via Wavelet-Based Tokenization Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang

ICLR 2025 Gradient-Free Generation for Hard-Constrained Systems Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang

NeurIPS 2025 MLZero: A Multi-Agent System for End-to-End Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

CVPR 2024 Bridging Remote Sensors with Multisensor Geospatial Foundation Models Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein

ICLRW 2024 Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes Dynamics Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Bernie Wang, Andrew Stuart, Michael W. Mahoney

WACV 2024 Data Augmentation for Object Detection via Controllable Diffusion Models Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wen-Ming Ye

ICML 2024 Discovering Bias in Latent Space: An Unsupervised Debiasing Approach Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang

ICML 2024 Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson

NeurIPS 2024 Unraveling the Gradient Descent Dynamics of Transformers Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong

NeurIPS 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

NeurIPSW 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Bernie Wang

ICCV 2023 Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen

ICML 2023 Wrapped Cauchy Distributed Angular SoftMax for Long-Tailed Visual Recognition Boran Han

ICCVW 2021 A Robust End-to-End Method for Parametric Curve Tracing via Soft Cosine-Similarity-Based Objective Function Boran Han, Jeremy Vila