← authors · overview

• Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses
  2026 · 5 citations
• Effective reinforcement learning based local search for the maximum k-plex problem
  2019 · 2 citations
• Transitive Vision-Language Prompt Learning for Domain Generalization
  2024 · 1 citations
• Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
  2026
• AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
  2025
• AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
  2025
• VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
  2025
• Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
  2025
• Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
  2025
• Scalable $M$-Channel Critically Sampled Filter Banks for Graph Signals
  2016
• Being Corrupt Requires Being Clever, But Detecting Corruption Doesn't
  2018
• Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning
  2024