Zhe Zhao

GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning

Long-tailed Test-Time Adaptation for Vision-Language Models

Fusing LLMs with Scientific Literature for Heuristic Discovery

GeoCMON: Operator Learning on Deformable Domains via Disentangled Geometric Conditioning

FIKSurvey: An Automated Peer Review Loop to Raise the Ceiling on AI Academic Writing

LAMP: Long-tailed Multimodal Prompt Learning for Vision-Language Models

Interpretable Preference Elicitation: Aligning User Intent with Controllable Long-tailed Learning

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

Gradient-Guided Epsilon Constraint Method for Online Continual Learning

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

Exploring Complex Trade-offs in Information Bottleneck through Multi-Objective Optimization