-
University of Science and Technology of China
- https://jinplu.github.io/
- https://scholar.google.com/citations?user=wnc_GPkAAAAJ&hl=en
Stars
The agent that grows with you
Unified World Model Inference & Evaluation Infrastructure
Lightweight coding agent that runs in your terminal
[NPJ Digital Medicine 2026] Data-efficient deep learning for gene rearrangement status prediction using DLBCL pathology
一层极薄的 Codex / Cursor / Claude Code 补充:一份跨项目常驻工作规则、一个从讨论到并行执行的方法 Skill、四类可复用文档
Understand dense articles faster and more clearly: trace the claims, test the evidence, identify genuine novelty, and separate contribution from hype.
MCP-based GPU coordination for AI agents, with human oversight across multiple servers.
[Tech Report] Context Scaling: Scaling Properties of Text Conditioning in Visual Generation
Enjoy the magic of Diffusion models!
Official code release for AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting (ECCV2026)
Public artifact for TEND, an execution-verified Text-to-NoSQL benchmark with the SAG reference solver and the accepted VLDB 2026 QueryCraft demo.
[CVPR'26] Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
WRBench: camera-controlled generation and diagnostic evaluation of video world models.
PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects
[DEPRECATED] 已废弃,请改用 https://github.com/JinPLu/teamwork-simplify —— Astra/Fable 等模型已吸收流程脚手架,Skill 已全面重构。
Programmer's guide about how to cook at home.
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
A Foundation Model for Generalist Gaming Agents
Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.
Awesome papers & datasets specifically focused on long-term videos.
[SIGMOD'26] MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization & [SIGMOD'26 Demo] Demonstration of MultiVis-Agent: Interactively …
Native Multimodal Models are World Learners
[ICLR 2026 🔥 ] Official implementation of "UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing"
A high-throughput and memory-efficient inference and serving engine for LLMs
VeloxSeg is a lightweight multimodal medical image segmentation framework that addresses the fundamental "efficiency / robustness conflict" in 3D medical image segmentation.
Segment Anything in Medical Images
[2026 ICLR] The official code for MedAgent_Pro