Cheng Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 58

Top Topics

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

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

IEEE Trans. Computers

Publications

YaJuan Hui, Qingzhen Li, Leimin Wang, Cheng Liu, Deming Zhang, Xiangshui Miao
In-Memory Wallace Tree Multipliers Based on Majority Gates Within Voltage-Gated SOT-MRAM Crossbar Arrays. IEEE Trans. Very Large Scale Integr. Syst. 32 (3) (2024)
YaJuan Hui, Qingzhen Li, Cheng Liu, Deming Zhang, Xiangshui Miao
Logic-in-Memory Based on Majority Gates With Voltage-Gated SOT-MRAM Crossbar Arrays. IEEE Trans. Circuits Syst. II Express Briefs 71 (4) (2024)
Zesong Jiang, Qing Zhang, Cheng Liu, Huawei Li, Xiaowei Li
IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA. CoRR (2024)
Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang
A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. IEEE Trans. Sustain. Comput. 9 (3) (2024)
Fangfa Fu, Wenyu Zhang, Zesong Jiang, Zhiyu Zhu, Guoyu Li, Bing Yang, Cheng Liu, Liyi Xiao, Jinxiang Wang, Huawei Li, Xiaowei Li
SigDLA: A Deep Learning Accelerator Extension for Signal Processing. CoRR (2024)
Qing Zhang, Cheng Liu, Siting Liu, Yajuan Hui, Huawei Li, Xiaowei Li
ApproxPilot: A GNN-based Accelerator Approximation Framework. CoRR (2024)
Xinmiao Zhang, Zheng Feng, Shengwen Liang, Xinyu Chen, Cheng Liu, Huawei Li, Xiaowei Li
Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation. CoRR (2024)
Mingkai Chen, Cheng Liu, Shengwen Liang, Lei He, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li
An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Xinmiao Zhang, Cheng Liu, Jiacheng Ni, Yuanqing Cheng, Lei Zhang, Huawei Li, Xiaowei Li
PDG: A Prefetcher for Dynamic Graph Updating. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (4) (2024)
Haitong Huang, Cheng Liu, Xinghua Xue, Bo Liu, Huawei Li, Xiaowei Li
MRFI: An Open-Source Multiresolution Fault Injection Framework for Neural Network Processing. IEEE Trans. Very Large Scale Integr. Syst. 32 (7) (2024)
Haitong Huang, Cheng Liu
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving. CoRR (2023)
Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. ICCAD (2023)
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
Statistical Modeling of Soft Error Influence on Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
Network Pruning for Bit-Serial Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. CoRR (2023)
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance. IEEE Trans. Very Large Scale Integr. Syst. 31 (11) (2023)
Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang
Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity. DATE (2023)
Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. ICLR (2023)
Cheng Chu, Cheng Liu, Dawen Xu, Ying Wang, Tao Luo, Huawei Li, Xiaowei Li
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses. ACM Trans. Design Autom. Electr. Syst. 28 (4) (2023)
Yuquan He, Long Zhang, Cheng Liu, Lei Zhang, Ying Wang
S$^{2}$ Loop: A Lightweight Spectral-Spatio Loop Closure Detector for Resource-Constrained Platforms. IEEE Robotics Autom. Lett. 8 (3) (2023)
Wen Li, Ying Wang, Cheng Liu, Yintao He, Lian Liu, Huawei Li, Xiaowei Li
On-Line Fault Protection for ReRAM-Based Neural Networks. IEEE Trans. Computers 72 (2) (2023)
Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
Soft Error Reliability Analysis of Vision Transformers. IEEE Trans. Very Large Scale Integr. Syst. 31 (12) (2023)
Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System. CoRR (2023)
Haitong Huang, Cheng Liu, Xinghua Xue, Ying Wang, Huawei Li, Xiaowei Li
MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing. CoRR (2023)
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance. CoRR (2023)
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. VTS (2022)
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
Statistical Modeling of Soft Error Influence on Neural Networks. CoRR (2022)
Cheng Liu, Cheng Chu, Dawen Xu, Ying Wang, Qianlong Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (10) (2022)
Fuping Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
NoCeption: A Fast PPA Prediction Framework for Network-on-Chips Using Graph Neural Network. DATE (2022)
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
Fault-Tolerant Deep Learning: A Hierarchical Perspective. CoRR (2022)
Dawen Xu, Zhuangyu Feng, Cheng Liu, Li Li, Ying Wang, Huawei Li, Xiaowei Li
Taming Process Variations in CNFET for Efficient Last-Level Cache Design. IEEE Trans. Very Large Scale Integr. Syst. 30 (4) (2022)
Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li
GLIST: Towards In-Storage Graph Learning. USENIX Annual Technical Conference (2021)
Dawen Xu, Qianlong Wang, Cheng Liu, Cheng Chu, Ying Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning. CoRR (2021)
Hao Lv, Bing Li, Ying Wang, Cheng Liu, Lei Zhang
VADER: Leveraging the Natural Variation of Hardware to Enhance Adversarial Attack. ASP-DAC (2021)
Shengwen Liang, Ying Wang, Cheng Liu, Lei He, Huawei Li, Dawen Xu, Xiaowei Li
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks. IEEE Trans. Computers 70 (9) (2021)
Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang
MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design. ACM Great Lakes Symposium on VLSI (2021)
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors. CoRR (2021)
Weiwei Chen, Ying Wang, Gangliang Lin, Chengsi Gao, Cheng Liu, Lei Zhang
CHaNAS: coordinated search for network architecture and scheduling policy. LCTES (2021)
Long Cheng, Ying Wang, Qingzhi Liu, Dick H. J. Epema, Cheng Liu, Ying Mao, John Murphy
Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE Trans. Parallel Distributed Syst. 32 (6) (2021)
Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
Energy-Efficient Accelerator Design for Deformable Convolution Networks. CoRR (2021)
Xiaohan Ma, Chang Si, Ying Wang, Cheng Liu, Lei Zhang
NASA: Accelerating Neural Network Design with a NAS Processor. ISCA (2021)
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors. IEEE Trans. Very Large Scale Integr. Syst. 29 (11) (2021)
Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Shuang Zhao, Lei Zhang, Huaguo Liang, Huawei Li, Kwang-Ting Cheng
Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System. IEEE Trans. Very Large Scale Integr. Syst. 29 (3) (2021)
Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang
Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware. ICLR (2020)
Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Xianzhong Zhou, Lei Zhang, Huaguo Liang, Huawei Li
Multi-task Scheduling for PIM-based Heterogeneous Computing System. ACM Great Lakes Symposium on VLSI (2020)
Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators. ICCAD (2020)
Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Huawei Li, Lei Zhang, Kwang-Ting Cheng
Persistent Fault Analysis of Neural Networks on FPGA-based Acceleration System. ASAP (2020)
Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
BitPruner: Network Pruning for Bit-serial Accelerators. DAC (2020)
Dawen Xu, Cheng Liu, Ying Wang, Kaijie Tu, Bingsheng He, Lei Zhang
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors - A Software Approach. IEEE Trans. Computers 69 (8) (2020)
Dawen Xu, Kexin Chu, Cheng Liu, Ying Wang, Lei Zhang, Huawei Li
CNT-Cache: an Energy-Efficient Carbon Nanotube Cache with Adaptive Encoding. DATE (2020)
Dawen Xu, Cheng Chu, Qianlong Wang, Cheng Liu, Ying Wang, Lei Zhang, Huaguo Liang, Kwang-Ting Cheng
A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators. ICCD (2020)
Cheng Liu, Xinyu Chen, Bingsheng He, Xiaofei Liao, Ying Wang, Lei Zhang
OBFS: OpenCL Based BFS Optimizations on Software Programmable FPGAs. FPT (2019)
Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing. FPL (2019)
Dawen Xu, Li Li, Ying Wang, Cheng Liu, Huawei Li
Exploring emerging CNFET for efficient last level cache design. ASP-DAC (2019)
Li Li, Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li
Squeezing the Last MHz for CNN Acceleration on FPGAs. ITC-Asia (2019)
Dawen Xu, KouZi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang
Resilient Neural Network Training for Accelerators with Computing Errors. ASAP (2019)
Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, Huawei Li
FCN-engine: accelerating deconvolutional layers in classic CNN processors. ICCAD (2018)
Ying Wang, Yinhe Han, Lei Zhang, Binzhang Fu, Cheng Liu, Huawei Li, Xiaowei Li
Economizing TSV Resources in 3-D Network-on-Chip Design. IEEE Trans. Very Large Scale Integr. Syst. 23 (3) (2015)
Yinhe Han, Cheng Liu, Hang Lu, Wen-Bo Li, Lei Zhang, Xiaowei Li
RevivePath: Resilient Network-on-Chip Design Through Data Path Salvaging of Router. J. Comput. Sci. Technol. 28 (6) (2013)
Cheng Liu, Lei Zhang, Yinhe Han, Xiaowei Li
Vertical interconnects squeezing in symmetric 3D mesh Network-on-Chip. ASP-DAC (2011)
Cheng Liu, Lei Zhang, Yinhe Han, Xiaowei Li
A resilient on-chip router design through data path salvaging. ASP-DAC (2011)