Jie Lu

Delving into Spectral Clustering with Vision-Language Representations

Enhancing LLMs for Knowledge Base Question Answering by Chain-of-Decomposition

Graph-driven Autonomous Adaptation for Multi-stream Concept Drift

Autonomous Knowledge Integration Enables Efficient Cross-Modality Prompt Transfer

A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models

Anchoring Entities: Retrieval-Augmented Hallucination Detection

Dynamic Mixture Embeddings for Contextual Meta-Reinforcement Learning

Autonomous Source Knowledge Selection in Multi-Domain Adaptation

Learning Robust Spectral Dynamics for Temporal Domain Generalization

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer

Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning

An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space

Intention Model: A Novel Explanation for In-context Learning

Rethinking Knowledge Distillation: A Mixture-of-Experts Perspective

Implicit Functional Bayesian Deep Learning