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
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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
Enhancing Human Trajectory Prediction with Reinforcement Learning from Quantified Human Preferences
Published in The 8th Chinese Conference on Pattern Recognition and Computer Vision, 2025
We improve human trajectory prediction by introducing Reinforcement Learning from Human Feedback (RLHF) and Rejection Sampling techniques.
Recommended citation: Chenyou Fan, Kehui Tan, Yanzhao Chen, Tianqi Pang, Haiqi Jiang, Junjie Hu. Enhancing Human Trajectory Prediction with Reinforcement Learning from Quantified Human Preferences. In Chinese Conference on Pattern Recognition and Computer Vision, 2025.
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Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts
Published in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025
Proposed a novel Federated Mixture-of-Experts (Fed-MoE) framework to address the challenges of deploying large models in power-constrained environments. Designed an asymmetric FL mechanism where compact client models are aggregated into a large server-side MoE model, enabling efficient learning from heterogeneous data.
Recommended citation: Jingang Jiang*, Yanzhao Chen*, Xiangyang Liu, Haiqi Jiang, and Chenyou Fan. Heterogeneous federated learning with scalable server mixture-of-experts. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025. Co-first authors: Jingang Jiang and Yanzhao Chen.
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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
Published:
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.