Boran Han

Orcid: 0000-0001-9567-7062

According to our database1, Boran Han authored at least 28 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2025
Does Multimodality Lead to Better Time Series Forecasting?
CoRR, June, 2025

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision.
CoRR, June, 2025

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation.
CoRR, May, 2025

Visual Instruction Tuning with Chain of Region-of-Interest.
CoRR, May, 2025

Effectively Steer LLM To Follow Preference via Building Confident Directions.
CoRR, March, 2025

PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Gradient-Free Generation for Hard-Constrained Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization.
CoRR, 2024

Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions.
CoRR, 2024

Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics.
CoRR, 2024

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design.
CoRR, 2024

Data Augmentation for Object Detection via Controllable Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unraveling the Gradient Descent Dynamics of Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Transferring Knowledge From Large Foundation Models to Small Downstream Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging Remote Sensors with Multisensor Geospatial Foundation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CaMML: Context-Aware Multimodal Learner for Large Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Lightweight In-Context Tuning for Multimodal Unified Models.
CoRR, 2023

GFM: Building Geospatial Foundation Models via Continual Pretraining.
CoRR, 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition.
Proceedings of the International Conference on Machine Learning, 2023

Towards Geospatial Foundation Models via Continual Pretraining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Defocus Deblur Microscopy via feature interactive coarse-to-fine network.
CoRR, 2022

Defocus Deblur Microscopy via Head-to-Tail Cross-Scale Fusion.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
A Robust End-to-end Method for Parametric Curve Tracing via Soft Cosine-similarity-based Objective Function.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2011
Nonadiabatic quantum dynamics in O(<sup>3</sup>P)+H<sub>2</sub>→OH+H: A revisited study.
J. Comput. Chem., 2011


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