Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
F2T: Fast Failover in LLM Training with Near-Zero Overhead State Management
Published in World Artificial Intelligence Conference Academic (WAICA), 2026
F2T leverages surplus network capacity to quickly save and load LLM training states, reducing recovery time by up to 98% and GPU utilization loss by up to 68%.
Recommended citation: Bohan Zhao, Yuanhong Wang, Chenglin Liu, Jiaqi Pan, Guang Yang, Ruitao Liu, Tingrui Zhang, Kai Luo, and Wei Xu. (2026). "F2T: Fast Failover in LLM Training with Near-Zero Overhead State Management." In Proceedings of the World Artificial Intelligence Conference Academic (WAICA 2026).
MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
Published in arXiv preprint, arXiv:2608.18827, 2026
MLREF evolves a persistent module pool for reward design in RL, reusing effective components across iterations and outperforming strong baselines by 25.2% in locomotion and 6.6% in manipulation.
Recommended citation: Chenglin Liu, Xun Wang, Ruishuo Chen, Zhuoran Li, and Longbo Huang. (2026). "MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models." arXiv preprint arXiv:2608.18827.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.