Pengcheng Dai

According to our database, Pengcheng Dai authored at least 25 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint Spectrum and Power Allocation in Wireless Network: A Two-Stage Multi-Agent Reinforcement Learning Method.

Pengcheng Dai, He Wang, Huazhou Hou, Xusheng Qian, Wenwu Yu

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Applications in Traffic Signal Control: A Distributed Policy Gradient Decomposition Algorithm.

Pengcheng Dai, Wenwu Yu, He Wang, Jiahui Jiang

IEEE Trans. Ind. Informatics, February, 2024

2023

Distributed Actor-Critic Algorithms for Multiagent Reinforcement Learning Over Directed Graphs.

Pengcheng Dai, Wenwu Yu, He Wang, Simone Baldi

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Combined CNN/RNN video privacy protection evaluation method for monitoring home scene violence.

Jixin Liu, Pengcheng Dai, Guang Han, Ning Sun

Comput. Electr. Eng., March, 2023

Distributed Neural Learning Algorithms for Multiagent Reinforcement Learning.

Pengcheng Dai, Hongzhe Liu, Wenwu Yu, He Wang

IEEE Internet Things J., 2023

2022

Distributed Q-Learning Algorithm for Dynamic Resource Allocation With Unknown Objective Functions and Application to Microgrid.

Pengcheng Dai, Wenwu Yu, Duxin Chen

IEEE Trans. Cybern., 2022

S² Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks.

Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao

IEEE Trans. Computers, 2022

2021

S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks.

Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao

CoRR, 2021

Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.

Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu

CoRR, 2021

Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.

Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu

Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

2020

Distributed Reinforcement Learning for Cyber-Physical System With Multiple Remote State Estimation Under DoS Attacker.

Pengcheng Dai, Wenwu Yu, He Wang, Guanghui Wen, Yuezu Lv

IEEE Trans. Netw. Sci. Eng., 2020

Distributed Reinforcement Learning Algorithm for Dynamic Economic Dispatch With Unknown Generation Cost Functions.

Pengcheng Dai, Wenwu Yu, Guanghui Wen, Simone Baldi

IEEE Trans. Ind. Informatics, 2020

Bulkyflip: A NAND-SPIN-Based Last-Level Cache With Bandwidth-Oriented Write Management Policy.

Bi Wu, Weisheng Zhao, Xiaobo Sharon Hu, Pengcheng Dai, Zhaohao Wang, Chao Wang, Ying Wang, Jianlei Yang, Yuanqing Cheng, Dijun Liu, Youguang Zhang

IEEE Trans. Circuits Syst. I Regul. Pap., 2020

A Novel High Performance and Energy Efficient NUCA Architecture for STT-MRAM LLCs With Thermal Consideration.

Bi Wu, Pengcheng Dai, Yuanqing Cheng, Ying Wang, Jianlei Yang, Zhaohao Wang, Dijun Liu, Weisheng Zhao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

SPINBIS: Spintronics-Based Bayesian Inference System With Stochastic Computing.

Xiaotao Jia, Jianlei Yang, Pengcheng Dai, Runze Liu, Yiran Chen, Weisheng Zhao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Accelerating CNN Training by Pruning Activation Gradients.

Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.

Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Accelerating CNN Training by Sparsifying Activation Gradients.

Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao

CoRR, 2019

2018

Improving the Station-Level Demand Prediction by Using Feature Engineering in Bike Sharing Systems.

Mu Hu, Pengcheng Dai, Huiping Lin, Guanlan Kong

Proceedings of the 2018 IEEE SmartWorld, 2018

A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform.

Wenzhi Fu, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao

Proceedings of the International Conference on Field-Programmable Technology, 2018

Cluster-Based Destination Prediction in Bike Sharing System.

Pengcheng Dai, Changxiong Song, Huiping Lin, Pei Jia, Zhipeng Xu

Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018

2017

Thermosiphon: A thermal aware NUCA architecture for write energy reduction of the STT-MRAM based LLCs.

Bi Wu, Yuanqing Cheng, Pengcheng Dai, Jianlei Yang, Youguang Zhang, Dijun Liu, Ying Wang, Weisheng Zhao

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2009

Synthesis Method for Hierarchical Interface-Based Supervisory Control.

Ryan J. Leduc, Pengcheng Dai, Raoguang Song

IEEE Trans. Autom. Control., 2009

2007

Synthesis Method for Hierarchical Interface-based Supervisory Control.

Ryan J. Leduc, Pengcheng Dai

Proceedings of the American Control Conference, 2007

2006

Hierarchical interface-based supervisory control of a flexible manufacturing system.

Ryan J. Leduc, Mark Lawford, Pengcheng Dai

IEEE Trans. Control. Syst. Technol., 2006