Ying Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 168

Top Venues

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

DAC

IEEE Trans. Very Large Scale Integr. Syst.

DATE

Publications

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. CoRR (2024)
Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. CoRR (2024)
Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li
APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction. ASPDAC (2024)
Lian Liu, Ying Wang, Xiandong Zhao, Weiwei Chen, Huawei Li, Xiaowei Li, Yinhe Han
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (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)
Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li
HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System. DATE (2024)
Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang
Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. DATE (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)
Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li
Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration. ASPDAC (2024)
Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han
GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction. DATE (2024)
Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. ASPLOS (2) (2024)
Haoran Wang, Lei Wang, Haobo Xu, Ying Wang, Yuming Li, Yinhe Han
PrimePar: Efficient Spatial-temporal Tensor Partitioning for Large Transformer Model Training. ASPLOS (3) (2024)
Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng
Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. Comput. Commun. 216 (2024)
Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. CoRR (2024)
Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu
AmgR: Algebraic Multigrid Accelerated on ReRAM. DAC (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)
Huiqing Xu, Kuang Mao, Quihong Pan, Zhaorong Tang, Mengdi Wang, Ying Wang
Deep Learning Compiler Optimization on Multi-Chiplet Architecture. AICAS (2023)
Kaiwei Zou, Songyun Qu, Wen Li, Ying Wang, Huawei Li, Yongpan Liu
Communication-aware Quantization for Deep Learning Inference Parallelization on Chiplet-based Accelerators. ICPADS (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)
Cangyuan Li, Ying Wang, Huawei Li, Yinhe Han
APPEND: Rethinking ASIP Synthesis in the Era of AI. DAC (2023)
Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
ChipGPT: How far are we from natural language hardware design. 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, Yinhe Han, Weiwei Chen, Lei Zhang
IVP: An Intelligent Video Processing Architecture for Video Streaming. IEEE Trans. Computers 72 (1) (2023)
Haoran Wang, Haobo Xu, Ying Wang, Yinhe Han
CTA: Hardware-Software Co-design for Compressed Token Attention Mechanism. HPCA (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)
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, Kaiwei Zou, Huawei Li, Xiaowei Li
Adversarial Testing: A Novel On-Line Testing Method for Deep Learning Processors. ATS (2023)
Ying Wang, Wen-Qing Jia, Dejun Jiang, Jin Xiong
A Survey of Non-Volatile Main Memory File Systems. J. Comput. Sci. Technol. 38 (2) (2023)
Songyun Qu, Bing Li, Shixin Zhao, Lei Zhang, Ying Wang
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao
Toward Network-Aware Query Execution Systems in Large Datacenters. IEEE Trans. Netw. Serv. Manag. 20 (4) (2023)
Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han
ENASA: Towards Edge Neural Architecture Search based on CIM acceleration. DATE (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)
Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang
Efficient Supernet Training Using Path Parallelism. HPCA (2023)
Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang
Winograd convolution: a perspective from fault tolerance. DAC (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)
Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Trans. Biomed. Circuits Syst. 16 (4) (2022)
Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator. ISLPED (2022)
Feng Min, Ying Wang, Haobo Xu, Junpei Huang, Yujie Wang, Xingqi Zou, Meixuan Lu, Yinhe Han
Dadu-SV: Accelerate Stereo Vision Processing on NPU. IEEE Embed. Syst. Lett. 14 (4) (2022)
Xiaohan Ma, Ying Wang, Yujie Wang, Xuyi Cai, Yinhe Han
Survey on chiplets: interface, interconnect and integration methodology. CCF Trans. High Perform. Comput. 4 (1) (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)
Yintao He, Ying Wang, Huawei Li, Xiaowei Li
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Bing Li, Songyun Qu, Ying Wang
An Automated Quantization Framework for High-Utilization RRAM-Based PIM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li
A Fast Precision Tuning Solution for Always-On DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE Trans. Computers 71 (7) (2022)
Bing Li, Hao Lv, Ying Wang, Yiran Chen
Security Threat to the Robustness of RRAM-based Neuromorphic Computing System. iSES (2022)
Zhen He, Cong Shi, Tengxiao Wang, Ying Wang, Min Tian, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Gang Luo
A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs 69 (3) (2022)
Yongchen Wang, Ying Wang, Huawei Li, Xiaowei Li
An Efficient Deep Learning Accelerator Architecture for Compressed Video Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (9) (2022)
Weiwei Chen, Ying Wang, Ying Xu, Chengsi Gao, Yinhe Han, Lei Zhang
Amphis: Managing Reconfigurable Processor Architectures With Generative Adversarial Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Samuel J. Engers, Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D. ACM Great Lakes Symposium on VLSI (2022)
Yuquan He, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang
Processing-in-SRAM acceleration for ultra-low power visual 3D perception. DAC (2022)
Xuyi Cai, Ying Wang, Kaijie Tu, Chengsi Gao, Lei Zhang
Olympus: Reaching Memory-Optimality on DNN Processors. IEEE Trans. Computers 71 (8) (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)
Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li
InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs. DAC (2022)
Hang Xiao, Haobo Xu, Ying Wang, Yujie Wang, Yinhe Han
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks. IEEE Comput. Archit. Lett. 21 (1) (2022)
Xuyi Cai, Ying Wang, Xiaohan Ma, Yinhe Han, Lei Zhang
DeepBurning-SEG: Generating DNN Accelerators of Segment-Grained Pipeline Architecture. MICRO (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)
Feng Min, Haobo Xu, Ying Wang, Yujie Wang, Jiajun Li, Xingqi Zou, Bei Li, Yinhe Han
Dadu-Eye: A 5.3 TOPS/W, 30 fps/1080p High Accuracy Stereo Vision Accelerator. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (10) (2021)
Ying Wang, Yongchen Wang, Cong Shi, Long Cheng, Huawei Li, Xiaowei Li
An Edge 3D CNN Accelerator for Low-Power Activity Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (5) (2021)
Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. Neurocomputing 425 (2021)
Bi Wu, Zhaohao Wang, Yuxuan Li, Ying Wang, Dijun Liu, Weisheng Zhao, Xiaobo Sharon Hu
A NAND-SPIN-Based Magnetic ADC. IEEE Trans. Circuits Syst. II Express Briefs 68 (2) (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)
Huawei Li, Xiaowei Li, Yu Huang, Ying Wang, Gary Guo
Special Session - Test for AI Chips: from DFT to On-line Testing. VTS (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)
Xianzhong Zhou, Ying Wang
Enhancing the security of memory in cloud infrastructure through in-phase change memory data randomisation. IET Comput. Digit. Tech. 15 (5) (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)
Yibin Tang, Ying Wang, Huawei Li, Xiaowei Li
To cloud or not to cloud: an on-line scheduler for dynamic privacy-protection of deep learning workload on edge devices. CCF Trans. High Perform. Comput. 3 (1) (2021)
Cheng Chu, Fan Chen, Dawen Xu, Ying Wang
RECOIN: A Low-Power Processing-in-ReRAM Architecture for Deformable Convolution. 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. 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)
Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li
A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning. ICCAD (2020)
Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. DAC (2020)
Bing Li, Ying Wang, Yiran Chen
HitM: High-Throughput ReRAM-based PIM for Multi-Modal Neural Networks. ICCAD (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)
Bi Wu, Chao Wang, Zhaohao Wang, Ying Wang, Deming Zhang, Dijun Liu, Youguang Zhang, Xiaobo Sharon Hu
Field-Free 3T2SOT MRAM for Non-Volatile Cache Memories. IEEE Trans. Circuits Syst. (12) (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)
Bi Wu, Weisheng Zhao, Xiaobo Sharon Hu, Pengcheng Dai, Zhaohao Wang, Chao Wang, Ying Wang, Jianlei Yang, Yuanqing Cheng, Dijun Liu, Youguang Zhang
Bulkyflip: A NAND-SPIN-Based Last-Level Cache With Bandwidth-Oriented Write Management Policy. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2020)
Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
BitPruner: Network Pruning for Bit-serial Accelerators. DAC (2020)
Jiacheng Ni, Keren Liu, Bi Wu, Weisheng Zhao, Yuanqing Cheng, Xiaolong Zhang, Ying Wang
Write Back Energy Optimization for STT-MRAM-based Last-level Cache with Data Pattern Characterization. ACM J. Emerg. Technol. Comput. Syst. 16 (3) (2020)
Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li
Towards State-Aware Computation in ReRAM Neural Networks. 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)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, Xiaowei Li
Search-free Accelerator for Sparse Convolutional Neural Networks. ASP-DAC (2020)
Weiwei Chen, Ying Wang, Shuang Yang, Chen Liu, Lei Zhang
You Only Search Once: A Fast Automation Framework for Single-Stage DNN/Accelerator Co-design. DATE (2020)
Weiwei Chen, Ying Wang, Shuang Yang, Chen Liu, Lei Zhang
Towards Best-effort Approximation: Applying NAS to General-purpose Approximate Computing. DATE (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ying Wang