AI-Powered Operator Network Operations Automation
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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
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Developed intelligent systems for automated base station error detection, diagnosis, and resolution, reducing downtime and maintenance costs.
Road Detection and Autonomous Driving
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Research and development on road detection and autonomous driving systems, focusing on computer vision and perception for autonomous vehicles.
Robot Reinforcement Learning
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Research on reinforcement learning for robotic control and manipulation, developing intelligent agents for robotic tasks.
Text-to-Scene Generation
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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
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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
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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)
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Improving automated evaluation frameworks based on lmms-eval for comprehensive assessment of multimodal and language models.
openRLHF and lightRLHF Framework Improvements
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Algorithm improvements and enhancements for the openRLHF reinforcement learning framework, including lightRLHF - a lightweight version based on openRLHF improvements.
veRL Framework Improvements
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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
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A collection of Model Context Protocol (MCP) servers for research workflows, including arXiv integration and other research tools.
Multi-Agent Research Assistant
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An intelligent multi-agent system for research assistance, enabling collaborative problem-solving among multiple AI agents.
Multi-round Reinforcement Learning and Self-Evolving Agents
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Exploring multi-round reinforcement learning and self-evolving agent architectures for developing adaptive and continuously improving AI systems.