Tianyu Fu

About Tianyu Fu

Tianyu Fu, With an exceptional h-index of 1 and a recent h-index of 1 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of graph neural network, sparse computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Survey on Efficient Inference for Large Language Models

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs

Desco: Towards generalizable and scalable deep subgraph counting

Representation Learning for Frequent Subgraph Mining

An efficient accelerator for point-based and voxel-based point cloud neural networks

CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory

Dimmining: pruning-efficient and parallel graph mining on near-memory-computing

LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining

Tianyu Fu Information

University

Position

Undergraduate at

Citations(all)

29

Citations(since 2020)

29

Cited By

0

hIndex(all)

1

hIndex(since 2020)

1

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Tianyu Fu Skills & Research Interests

graph neural network

sparse computation

Top articles of Tianyu Fu

A Survey on Efficient Inference for Large Language Models

arXiv preprint arXiv:2404.14294

2024/4/22

Desco: Towards generalizable and scalable deep subgraph counting

2024/3/4

Tianyu Fu
Tianyu Fu

H-Index: 0

Yu Wang
Yu Wang

H-Index: 14

Representation Learning for Frequent Subgraph Mining

arXiv preprint arXiv:2402.14367

2024/2/22

An efficient accelerator for point-based and voxel-based point cloud neural networks

2023/7/9

CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory

2023/4/17

Dimmining: pruning-efficient and parallel graph mining on near-memory-computing

2022/6/18

LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining

2020/9/22

See List of Professors in Tianyu Fu University(Tsinghua University)

Co-Authors

academic-engine