Guanghan Ning
I obtained a Ph.D. degree from Mizzou, under Prof. Henry He. Before the end of 2022, I enjoyed research on vision & deep learning, loved participating competitions and challenges. My first popular project was ROLO for object tracking; another project worth mentioning, called LightTrack, ranked 1st place on PoseTrack Challenge.
Since the beginning of 2023, I have switched my focus to developing foundation models, especially Code LLMs. As a believer in singularity, I am dedicated to contributing my limited part. In my spare time, I am also a blogger writing articles about AGI.
Numero 10 in an amateur futbol club located in the Bay Area of California.
Articles
- From Weeping Angels to Godlike Machines: AGI at the Crossroads
- The Weeping Angels of AI: LLMs, Time, and Human-Like Cognition
Papers
FullStack Bench: Evaluating LLMs as Full Stack Coder
Unconstrained Model Merging for Enhanced LLM Reasoning
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
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Selected Projects
Here is the full list of publications.
Patents
10+ patents have been granted.
Posts
Previous site (Since 2015) is accidentally down. All posts are lost. But worry not. They were sh*t.
2025 blog is where I currently share fresh ideas about AGI & ASI. Hope you enjoy:)
Competitions
1st place on PoseTrack Challenge Benchmark (non-public test set).
Runner-up on Human Pose Estimation Benchmarks, MPII (non-public test set) & LSP.
Professional Services
50+ verified reviews from Publons.
Conference reviewer for CVPR, ICCV, NeurIPS, etc.
Journal reviewer for Pattern Recognition, TMM, TPAMI, TCSVT, etc.