Linfeng Du

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Afzal Ahmad, Linfeng Du, Wei Zhang
Fast and Practical Strassen's Matrix Multiplication using FPGAs. CoRR (2024)
Afzal Ahmad, Linfeng Du, Zhiyao Xie, Wei Zhang
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS. CoRR (2024)
Chunyou Su, Linfeng Du, Tingyuan Liang, Zhe Lin, Maolin Wang, Sharad Sinha, Wei Zhang
GraFlex: Flexible Graph Processing on FPGAs through Customized Scalable Interconnection Network. FPGA (2024)
Linfeng Du, Ji Xin, Alex Labach, Saba Zuberi, Maksims Volkovs, Rahul G. Krishnan
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. CoRR (2023)
Pengfei Shen, Tinghua Zhang, Jielin Cheng, Linfeng Du, Panpan Li, Lei Yun
Research on Intelligent Algorithms for Estimating Multistep Process Capability in the Industrial Field. AAIA (2023)
Yinyi Liu, Bohan Hu, Zhenguo Liu, Peiyu Chen, Linfeng Du, Jiaqi Liu, Xianbin Li, Wei Zhang, Jiang Xu
FIONA: Photonic-Electronic CoSimulation Framework and Transferable Prototyping for Photonic Accelerator. ICCAD (2023)
Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs. FPGA (2023)
Linfeng Du, Junjiang He, Tao Li, Yunpeng Wang, Xiaolong Lan, Yunhua Huang
DBWE-Corbat: Background network traffic generation using dynamic word embedding and contrastive learning for cyber range. Comput. Secur. 129 (2023)
Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang
HiGIL: Hierarchical Graph Inference Learning for Fact Checking. ICDM (2022)
Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs. CoRR (2022)
Guozhu YAN, Qiongyu Wu, Rongbing Chen, Linfeng Du, Shuangyin Ren
A Literature Review of Resiliency Technologies in Military Software Defined Networks. DSIT (2022)
Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. (2020)
Jibing Gong, Yi Zhao, Shuai Chen, Hongfei Wang, Linfeng Du, Shuli Wang, Md. Zakirul Alam Bhuiyan, Hao Peng, Bowen Du
Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment. IEEE Access 8 (2020)
Linfeng Du, Yu Zhang, Syuhei Sato, Yuki Todo, Zheng Tang, Shangce Gao
Differential Evolution-Based Wingsuit Flying Search for Optimization. ISCID (2020)
Jibing Gong, Hongyuan Ma, Zhiyong Teng, Qi Teng, Hekai Zhang, Linfeng Du, Shuai Chen, Md. Zakirul Alam Bhuiyan, Jianhua Li, Mingsheng Liu
Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification. IEEE Access 8 (2020)
Yanping Li, Yinmei He, Linfeng Du
Multimodal Image Fusion Based on Random Projection and Joint Sparse Representation. ICBIP (2020)
Hao Peng, Hongfei Wang, Bowen Du, Md. Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Inf. Sci. 521 (2020)
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. DependSys (2019)
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. CoRR (2019)
Rui Wang, Linfeng Du, Zongxin Yu, Wanggen Wan
Infrared and visible images fusion using Compressed Sensing based on average gradient. ICME Workshops (2013)