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Pengcheng Yao
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2020 – today
- 2024
- [j10]Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao:
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39(2): 245-266 (2024) - [j9]Long Zheng
, Ao Hu
, Qinggang Wang, Yu Huang
, Haoqin Huang, Pengcheng Yao
, Shuyi Xiong
, Xiaofei Liao
, Hai Jin
:
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1318-1331 (2024) - [j8]Pengcheng Yao
, Yuchong Chen
, Shaoyan Gai
, Feipeng Da
:
Accurate 3D Measurement of Complex Texture Objects by Height Compensation Using a Dual-Projector Structure. IEEE Trans. Image Process. 33: 3021-3030 (2024) - 2023
- [j7]Hai Jin
, Dan Chen
, Long Zheng
, Yu Huang
, Pengcheng Yao, Jin Zhao
, Xiaofei Liao
, Wenbin Jiang
:
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. IEEE Trans. Computers 72(9): 2628-2640 (2023) - [c18]Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin:
MeG2: In-Memory Acceleration for Genome Graphs Analysis. DAC 2023: 1-6 - [c17]Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE 2023: 53-66 - 2022
- [j6]Wenlong Chen, Pengcheng Yao
, Shaoyan Gai, Feipeng Da:
Multi-scale feature aggregation network for Image super-resolution. Appl. Intell. 52(4): 3577-3586 (2022) - [j5]Yu Huang
, Long Zheng
, Pengcheng Yao, Qinggang Wang, Haifeng Liu
, Xiaofei Liao
, Hai Jin
, Jingling Xue:
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3567-3578 (2022) - [j4]Pengcheng Yao
, Shaoyan Gai
, Feipeng Da
:
Toward Real-World Super-Resolution Technique for Fringe Projection Profilometry. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [c16]Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao
, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin:
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. HPCA 2022: 184-198 - [c15]Pengcheng Yao
, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue:
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. HPCA 2022: 199-212 - [c14]Yu Huang, Long Zheng, Pengcheng Yao
, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. HPCA 2022: 1029-1042 - [c13]Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. HPEC 2022: 1-7 - [c12]Ran Zheng, Yingxin Jiang, Yibo Wang, Yongbo Su, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin:
An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy. ICA3PP 2022: 773-787 - [c11]Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng:
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. IPDPS 2022: 246-257 - [c10]Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao
, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Data-Centric Accelerator for High-Performance Hypergraph Processing. MICRO 2022: 1326-1341 - 2021
- [c9]Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin:
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. PACT 2021: 318-330 - [c8]Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao
, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao:
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. FPGA 2021: 149-159 - [c7]Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin:
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. HPEC 2021: 1-7 - 2020
- [c6]Yu Huang, Long Zheng, Pengcheng Yao
, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
:
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. IPDPS 2020: 684-695 - [c5]Pengcheng Yao
, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. MICRO 2020: 895-907
2010 – 2019
- 2019
- [c4]Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao
, Chuangyi Gui:
RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. DATE 2019: 1273-1276 - [c3]Chuangyi Gui, Long Zheng, Pengcheng Yao
, Xiaofei Liao, Hai Jin:
Fast Triangle Counting on GPU. HPEC 2019: 1-7 - 2018
- [j3]Bifang He, Lixu Jiang, Yaocong Duan, Guoshi Chai, Yewei Fang, Juanjuan Kang, Min Yu, Ning Li, Zhongjie Tang, Pengcheng Yao, Pengcheng Wu, Ratmir Derda, Jian Huang
:
Biopanning data bank 2018: hugging next generation phage display. Database J. Biol. Databases Curation 2018: bay032 (2018) - [c2]Pengcheng Yao
, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He
:
An efficient graph accelerator with parallel data conflict management. PACT 2018: 8:1-8:12 - [i1]Pengcheng Yao:
An Efficient Graph Accelerator with Parallel Data Conflict Management. CoRR abs/1806.00751 (2018) - 2017
- [j2]Hai Jin, Pengcheng Yao
, Xiaofei Liao:
Towards dataflow based graph processing. Sci. China Inf. Sci. 60(12): 126102:1-126102:3 (2017) - [c1]Hai Jin, Pengcheng Yao
, Xiaofei Liao, Long Zheng, Xianliang Li:
Towards Dataflow-Based Graph Accelerator. ICDCS 2017: 1981-1992 - 2016
- [j1]Yong Zhao, Shengjie Lu, Hailong Qian, Pengcheng Yao:
Robust mesh deformation with salient features preservation. Sci. China Inf. Sci. 59(5): 052106:1-052106:9 (2016)
Coauthor Index
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last updated on 2024-08-05 21:12 CEST by the dblp team
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