AI-Powered Operator Network Operations Automation
Published:
Developed AI-based automation systems for operator network operations, improving efficiency and reducing manual intervention in network management.
Portfolio
AI-Based Base Station Error Handling and Diagnosis
Published:
Developed intelligent systems for automated base station error detection, diagnosis, and resolution, reducing downtime and maintenance costs.
Road Detection and Autonomous Driving
Published:
Research and development on road detection and autonomous driving systems, focusing on computer vision and perception for autonomous vehicles.
Robot Reinforcement Learning
Published:
Research on reinforcement learning for robotic control and manipulation, developing intelligent agents for robotic tasks.
Text-to-Scene Generation
Published:
Generating 3D scenes from natural language descriptions, bridging the gap between language understanding and 3D scene representation.
MLLM-MCTS-CoT: Monte Carlo Tree Search for Multimodal Reasoning
Published:
Combining Monte Carlo Tree Search (MCTS) with Chain-of-Thought reasoning for enhanced reasoning in multimodal large language models.
Multimodal Large Language Model Chain-of-Thought
Published:
Research on Chain-of-Thought (CoT) reasoning for multimodal large language models, improving reasoning capabilities in vision-language tasks.
Automated Evaluation Framework Improvements (lmms-eval)
Published:
Improving automated evaluation frameworks based on lmms-eval for comprehensive assessment of multimodal and language models.
openRLHF and lightRLHF Framework Improvements
Published:
Algorithm improvements and enhancements for the openRLHF reinforcement learning framework, including lightRLHF - a lightweight version based on openRLHF improvements.
veRL Framework Improvements
Published:
Framework integration and improvements for veRL (Volcano Engine Reinforcement Learning), a flexible, efficient and production-ready RL training library for large language models.
Research MCP Servers
Published:
A collection of Model Context Protocol (MCP) servers for research workflows, including arXiv integration and other research tools.
Multi-Agent Research Assistant
Published:
An intelligent multi-agent system for research assistance, enabling collaborative problem-solving among multiple AI agents.
Multi-round Reinforcement Learning and Self-Evolving Agents
Published:
Exploring multi-round reinforcement learning and self-evolving agent architectures for developing adaptive and continuously improving AI systems.
Agent Harness: Long-Term Memory for Adaptive AI Agents
Published:
A memory-augmented agent harness framework that enables AI agents to continuously learn and adapt through long-term episodic and semantic memory mechanisms.
Self-Evolving Multi-Agent Systems with Hierarchical Memory
Published:
A self-evolving multi-agent framework that enables agents to autonomously improve strategies through multi-round interactions and hierarchical memory structures.