Boran Han
15 papers · 2023–2026 · 10 venues · across top CS/AI venues
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Machine Learning
(12)
Deep Learning
(9)
Artificial Intelligence
(8)
Core AI
(8)
Computer Vision
(5)
Learning Types Β· Machine Learning
(5)
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(4)
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(3)
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(3)
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Optimization & Theory
(3)
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(2)
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(2)
Keywords
foundation model
(3)
large language model
(2)
remote sensing
(2)
few-shot learning
(2)
table understanding
(2)
object detection
(1)
multimodal learning
(1)
transfer learning
(1)
prompt engineering
(1)
data augmentation
(1)
regularization
(1)
convergence analysis
(1)
neural network optimization
(1)
loss landscape
(1)
pretraining
(1)
context-aware learning
(1)
feature representation
(1)
visual recognition
(1)
gradient descent
(1)
attention mechanism
(1)
Papers
Efficient Table Retrieval and Understanding with Multimodal Large Language Models
EACL 2026
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
ACL 2026
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
AISTATS 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
Gradient-Free Generation for Hard-Constrained Systems
ICLR 2025
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
CVPR 2024
CaMML: Context-Aware Multimodal Learner for Large Models
ACL 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
NAACL 2024
Data Augmentation for Object Detection via Controllable Diffusion Models
WACV 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
ICML 2024
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
Unraveling the Gradient Descent Dynamics of Transformers
NeurIPS 2024
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
NeurIPS 2023
Towards Geospatial Foundation Models via Continual Pretraining
ICCV 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
ICML 2023