LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. - Tianyu Fu 004; Ziqian Wan; Guohao Dai; Yu Wang 002; Huazhong Yang (HPEC, 2020)

DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. - Guohao Dai; Zhenhua Zhu; Tianyu Fu 004; Chiyue Wei; Bangyan Wang; Xiangyu Li; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (ISCA, 2022)

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. - Xinhao Yang; Tianyu Fu 004; Guohao Dai; Shulin Zeng; Kai Zhong; Ke Hong; Yu Wang 002 (DAC, 2023)

CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. - Tianyu Fu 004; Chiyue Wei; Zhenhua Zhu; Shang Yang; Zhongming Yu; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2023)

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. - Shulin Zeng; Jun Liu 071; Guohao Dai; Xinhao Yang; Tianyu Fu 004; Hongyi Wang; Wenheng Ma; Hanbo Sun; Shiyao Li; Zixiao Huang; Yadong Dai; Jintao Li; et al. (FPGA, 2024)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (NeurIPS, 2024)

DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. - Tianyu Fu 004; Chiyue Wei; Yu Wang 002; Rex Ying (WSDM, 2024)

Representation Learning for Frequent Subgraph Mining. - Rex Ying; Tianyu Fu 004; Andrew Wang; Jiaxuan You; Yu Wang 002; Jure Leskovec (CoRR, 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

Can LLMs Learn by Teaching? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. - Tianyu Fu 004; Haofeng Huang; Xuefei Ning; Genghan Zhang; Boju Chen; Tianqi Wu; Hongyi Wang; Zixiao Huang; Shiyao Li; Shengen Yan; Guohao Dai; Huazhong Yang; et al. (CoRR, 2024)

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. - Tianyu Fu 004; Tengxuan Liu; Qinghao Han; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2025)

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. - Tianyu Fu 004; Yi Ge; Yichen You; Enshu Liu; Zhihang Yuan; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)