Hierarchical interface-based supervisory control of a flexible manufacturing system. - Ryan J. Leduc; Mark Lawford; Pengcheng Dai (IEEE Trans. Control. Syst. Technol., 2006)

Synthesis Method for Hierarchical Interface-based Supervisory Control. - Ryan J. Leduc; Pengcheng Dai (ACC, 2007)

Synthesis Method for Hierarchical Interface-Based Supervisory Control. - Ryan J. Leduc; Pengcheng Dai; Raoguang Song (IEEE Trans. Autom. Control., 2009)

Thermosiphon: A thermal aware NUCA architecture for write energy reduction of the STT-MRAM based LLCs. - Bi Wu; Yuanqing Cheng; Pengcheng Dai; Jianlei Yang 001; Youguang Zhang; Dijun Liu; Ying Wang 001; Weisheng Zhao (ICCAD, 2017)

Cluster-Based Destination Prediction in Bike Sharing System. - Pengcheng Dai; Changxiong Song; Huiping Lin; Pei Jia; Zhipeng Xu (AICCC, 2018)

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)

Improving the Station-Level Demand Prediction by Using Feature Engineering in Bike Sharing Systems. - Mu Hu; Pengcheng Dai; Huiping Lin; Guanlan Kong (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Supporting Japanese Language Learners with an Onomatopoeia Learning Site. - Noriko Uosaki; Pengcheng Dai; Hye Rin Kong; Jacky Chun Kit Lam; Mehrasa Alizadeh (ICCE, 2019)

Accelerating CNN Training by Sparsifying Activation Gradients. - Xucheng Ye; Jianlei Yang 001; Pengcheng Dai; Yiran Chen 001; Weisheng Zhao (CoRR, 2019)

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. - Pengcheng Dai; Jianlei Yang 001; Xucheng Ye; Xingzhou Cheng; Junyu Luo 002; Linghao Song; Yiran Chen 001; Weisheng Zhao (DAC, 2020)

Accelerating CNN Training by Pruning Activation Gradients. - Xucheng Ye; Pengcheng Dai; Junyu Luo 002; Xin Guo 008; Yingjie Qi; Jianlei Yang 001; Yiran Chen 001 (ECCV (25), 2020)

SPINBIS: Spintronics-Based Bayesian Inference System With Stochastic Computing. - Xiaotao Jia; Jianlei Yang 001; Pengcheng Dai; Runze Liu 001; Yiran Chen 001; Weisheng Zhao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 001; Jianlei Yang 001; Zhaohao Wang; Dijun Liu; Weisheng Zhao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 094; Ying Wang 001; Jianlei Yang 001; Yuanqing Cheng; Dijun Liu; Youguang Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 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)

Distributed Reinforcement Learning for Cyber-Physical System With Multiple Remote State Estimation Under DoS Attacker. - Pengcheng Dai; Wenwu Yu; He Wang 006; Guanghui Wen; Yuezu Lv (IEEE Trans. Netw. Sci. Eng., 2020)

Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms. - Ao Zhou; Jianlei Yang 001; Yeqi Gao; Tong Qiao; Yingjie Qi; Xiaoyi Wang; Yunli Chen; Pengcheng Dai; Weisheng Zhao; Chunming Hu (RTAS, 2021)

Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms. - Ao Zhou; Jianlei Yang 001; Yeqi Gao; Tong Qiao; Yingjie Qi; Xiaoyi Wang; Yunli Chen; Pengcheng Dai; Weisheng Zhao; Chunming Hu (CoRR, 2021)

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)

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)

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)

Distributed Neural Learning Algorithms for Multiagent Reinforcement Learning. - Pengcheng Dai; Hongzhe Liu; Wenwu Yu; He Wang 006 (IEEE Internet Things J., 2023)

Combined CNN/RNN video privacy protection evaluation method for monitoring home scene violence. - Jixin Liu 001; Pengcheng Dai; Guang Han 002; Ning Sun 005 (Comput. Electr. Eng., 2023)

Distributed Actor-Critic Algorithms for Multiagent Reinforcement Learning Over Directed Graphs. - Pengcheng Dai; Wenwu Yu; He Wang 006; Simone Baldi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Applications in Traffic Signal Control: A Distributed Policy Gradient Decomposition Algorithm. - Pengcheng Dai; Wenwu Yu; He Wang 006; Jiahui Jiang (IEEE Trans. Ind. Informatics, 2024)

Joint Spectrum and Power Allocation in Wireless Network: A Two-Stage Multi-Agent Reinforcement Learning Method. - Pengcheng Dai; He Wang 006; Huazhou Hou; Xusheng Qian; Wenwu Yu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning. - Pengcheng Dai; Yuanqiu Mo; Wenwu Yu; Wei Ren 001 (CoRR, 2025)