Tianyu Fu - RankMe

18 papers A* 3A 3Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cache-to-Cache: Direct Semantic Communication Between Large Language Models. CoRR Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang
2025	J	`jnl`	FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. CoRR Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2025	J	`jnl`	R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	J	`jnl`	Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR 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
2025	J	`jnl`	Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models. CoRR Tianyu Fu, Yichen You, Zekai Chen, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	A Survey on Efficient Inference for Large Language Models. CoRR 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
2024	A*	`conf`	Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. NeurIPS Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	Can LLMs Learn by Teaching? A Preliminary Study. CoRR Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
2024	A	`conf`	DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. WSDM Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
2024	A	`conf`	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA 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
2024	J	`jnl`	FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR 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
2024	J	`jnl`	MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR 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
2024	J	`jnl`	Representation Learning for Frequent Subgraph Mining. CoRR Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec
2023	A*	`conf`	An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang
2023	A	`conf`	CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. CoRR Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
2022	A*	`conf`	DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang
2020	—	`conf`	LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang