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Achievements

Achievement: Pair Extraordinairex2Achievement: Starstruckx2Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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@thu-nics@FatnessClub@dgSPARSE

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fuvty/README.md

Hi 👋

I’m Tianyu Fu (傅天予), a Ph.D. student at Tsinghua University, NICS-EFC Lab, supervised by Prof. Yu Wang. I obtained my bachelor’s degree from Tsinghua University in 2022.

My research interests lie in efficient long context large language models, check out our latest work here. Currently an intern at ByteDance Seed LLM model architecture team.

I welcome new friends and collaborators. Please don’t hesitate to reach out 🤗

Want to know more about me? Check out my Twitter, RedNote, or Profile. Feel free to explore featured projects from me and my amazing collaborators:

R2R
Token-level routing for reasoning LLMs
TaH
Selective latent thinking for reasoning LLMs
C2C
Communicate through KV-Cache between LLMs
FrF
Efficient video token reduction for LVLMs
MoA
Mixture of sparse attention for LLMs

Pinned Loading

  1. thu-nics/C2Cthu-nics/C2CPublic

    [ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"

    Python 433 57

  2. thu-nics/R2Rthu-nics/R2RPublic

    [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing"

    Python 96 14

  3. thu-nics/TaHthu-nics/TaHPublic

    [ICML'26] Official implementation of paper "Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models"

    Python 80 13

  4. thu-nics/MoAthu-nics/MoAPublic

    [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>

    Python 160 9

  5. thu-nics/FrameFusionthu-nics/FrameFusionPublic

    [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"

    Python 76 3

  6. DeSCoDeSCoPublic

    [WSDM'24 Oral] The official implementation of paper <DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting>

    Python 24