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Westlake University & Chongqing Technology and Business University
- Hangzhou, China
- https://jinxins.github.io
- @Xander_K1ng
- in/xin-jin-410a232b6
- https://orcid.org/my-orcid?orcid=0009-0005-0983-6853
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The fastest repo in history to surpass 100K stars ⭐. Better Harness Tools that make real things done. Built in Rust using oh-my-codex.
Rust crate with Python bindings for the HAT splitting rule
[NeurIPS 2025] MergeBench: A Benchmark for Merging Domain-Specialized LLMs
Official implementation of "OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging".
Source codes for the paper "Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking"
Paper2Demo: Turn any academic PDF into a stunning demo video
LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
🦞+🔬: NanoResearch: The Autonomous AI Research Assistant
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights"
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
My learning notes for ML SYS.
Official Repo for WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing
Webpage: https://chuny9743.github.io/AI4WaterEnv_Webpage/
SparAlloc: A Simple and Modular Framework for Decoupled Sparsity Allocation in Layerwise Pruning for LLM
[CPAL 2026 oral] Offical implementation of "ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning”
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
[arXiv 2024] Is Oracle Pruning the True Oracle?
[CVPR 2026] ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
[TMLR 2025] Efficient Reasoning Models: A Survey
[ICLR 2026] RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
[ICLR 2026] MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
Tools for merging pretrained large language models.
CUDA Templates and Python DSLs for High-Performance Linear Algebra