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ORCIDTianyu Fu 0004
Person information
- affiliation: Tsinghua University, BNRist, Beijing, China
Other persons with the same name
- Tianyu Fu 0001
![[0009-0001-7656-350X]](https://dblp.org/img/orcid-mark.12x12.png "0009-0001-7656-350X")
— Winsense Technology Ltd, Beijing, China (and 1 more) - Tianyu Fu 0002 — Wuhan University of Science and Technology, College of Computer Science and Technology, China
- Tianyu Fu 0003 — Beijing Institute of Technology, School of Medical Engineering, China (and 1 more)
- Tianyu Fu 0005 — Shandong University, School of Control Science and Engineering, Jinan, China
- Tianyu Fu 0006 — Xiamen University, School of Management, China
- Tianyu Fu 0007 — East China University of Science and Technology, Shanghai, China
- Tianyu Fu 0008 — Tianjin University, State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, China
- Tianyu Fu 0009 — Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China
- Tianyu Fu 0010 — Mininglamp Technology, China
- Tianyu Fu 0011 — China University of Mining and Technology, Beijing, China
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2020 – today
- 2025
[i11]Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. CoRR abs/2501.01986 (2025)- [i10]Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR abs/2505.21600 (2025) - [i9]Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang:
Cache-to-Cache: Direct Semantic Communication Between Large Language Models. CoRR abs/2510.03215 (2025) - [i8]Tianyu Fu, Yichen You, Zekai Chen, Guohao Dai, Huazhong Yang, Yu Wang:
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models. CoRR abs/2511.08577 (2025) - [i7]Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang:
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR abs/2511.20048 (2025) - 2024
- [c7]Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA 2024: 223-234 - [c6]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. NeurIPS 2024 - [c5]Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying:
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. WSDM 2024: 218-227 - [i6]Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR abs/2401.03868 (2024) - [i5]Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec:
Representation Learning for Frequent Subgraph Mining. CoRR abs/2402.14367 (2024) - [i4]Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang:
A Survey on Efficient Inference for Large Language Models. CoRR abs/2404.14294 (2024) - [i3]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching? A Preliminary Study. CoRR abs/2406.14629 (2024) - [i2]Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR abs/2406.14909 (2024) - 2023
- [c4]Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang:
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC 2023: 1-6 - [c3]Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang:
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE 2023: 1-6 - [i1]Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying:
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. CoRR abs/2308.08198 (2023) - 2022
- [c2]Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang:
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA 2022: 130-145 - 2020
- [c1]Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang:
LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC 2020: 1-7
Coauthor Index
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