A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform. - Wenzhi Fu; Jianlei Yang 001; Pengcheng Dai; Yiran Chen 001; Weisheng Zhao (FPT, 2018)

S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. - Jianlei Yang 001; Wenzhi Fu; Xingzhou Cheng; Xucheng Ye; Pengcheng Dai; Weisheng Zhao (CoRR, 2021)

Discovering Association Rules from Big Graphs. - Wenfei Fan; Wenzhi Fu; Ruochun Jin; Ping Lu 005; Chao Tian 001 (Proc. VLDB Endow., 2022)

S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. - Jianlei Yang 001; Wenzhi Fu; Xingzhou Cheng; Xucheng Ye; Pengcheng Dai; Weisheng Zhao (IEEE Trans. Computers, 2022)

Extracting Graphs Properties with Semantic Joins. - Yang Cao 012; Wenfei Fan; Wenzhi Fu; Ruochun Jin; Weijie Ou; Wenliang Yi (ICDE, 2023)

Making It Tractable to Catch Duplicates and Conflicts in Graphs. - Wenfei Fan; Wenzhi Fu; Ruochun Jin; Muyang Liu; Ping Lu 005; Chao Tian 001 (Proc. ACM Manag. Data, 2023)

Joining Entities Across Relation and Graph with a Unified Model. - Wenzhi Fu (CoRR, 2024)

Extending Graph Rules with Oracles. - Xueli Liu; Bowen Dong; Wenzhi Fu; Nannan Wu; Xin Wang 030; Wenjun Wang 002 (Proc. VLDB Endow., 2024)

Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival Analysis. - Kaida Cai; Wenzhi Fu; Zhengyan Wang; Xiaofang Yang; Hanwen Liu; Ziyang Ji (Entropy, 2024)

A Reinforcement Learning Approach for Graph Rule Learning. - Zhenzhen Mai; Wenjun Wang 002; Xueli Liu; Xiaoyang Feng; Jun Wang; Wenzhi Fu (Big Data Min. Anal., 2025)