- Auburn, Alabama
-
20:21
(UTC -05:00) - bestsonny.github.io
- https://orcid.org/0000-0002-6525-6299
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Starred repositories
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
This repository contains the code for our CVPR 2024 paper,
A list of awesome papers and cool resources on WiFi CSI sensing.
Applications based on Wi-Fi CSI (Channel state information), such as indoor positioning, human detection
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
A straightforward method for training your LLM, from downloading data to generating text.
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
面向全球研究人员的开源论文绘图脚本市场 | Open, AI-reviewed marketplace of academic paper plotting scripts for global researchers
Official Implementation for the paper "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning"
[CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
Data recipes and robust infrastructure for training AI agents
[ICLR'26] "Nabla-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space" by Peihao Wang*, Ruisi Cai*, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
Python library to train neural networks with a strong focus on hydrological applications.
A global community dataset for large-sample hydrology
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
ALMA (Automated meta-Learning of Memory designs for Agentic systems) is a framework that meta-learns memory designs to replace human-engineered designs for agentic system.
MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments