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ORCIDYuan Xie 0001
Person information
- affiliation: University of California at Santa Barbara, CA, USA
- affiliation (former): Pennsylvania State University, Philadelphia, PA, USA
Other persons with the same name
- Yuan Xie — disambiguation page
- Yuan Xie 0002 — Shanghai Jiao Tong University, China
- Yuan Xie 0003 — California Institute of Technology, Center for Computational Regulatory Genomics, CA, USA
- Yuan Xie 0004 — Sun Yat-sen University, Guangzhou, China
- Yuan Xie 0005 — Indiana University Bloomington, USA
- Yuan Xie 0006
![[0000-0001-6945-7437]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6945-7437")
— East China Normal University, Shanghai, China (and 2 more) - Yuan Xie 0007 — Guangdong University of Technology, Guangzhou, China
- Yuan Xie 0008 — Alibaba Group
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2020 – today
- 2022
[j133]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 13-31 (2022)- 2021
- [j132]Han Li, Mingyu Yan, Xiaocheng Yang, Lei Deng, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Hardware Acceleration for GCNs via Bidirectional Fusion. IEEE Comput. Archit. Lett. 20(1): 66-69 (2021) - [j131]Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot:
Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer 54(4): 14-25 (2021) - [j130]Yuan Xie:
Recap of the 39th Edition of the International Conference on Computer-Aided Design (ICCAD 2020). IEEE Des. Test 38(2): 100-101 (2021) - [j129]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and inference for integer-based semantic segmentation network. Neurocomputing 454: 101-112 (2021) - [j128]Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li:
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464: 203-217 (2021) - [j127]Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning. IEEE J. Solid State Circuits 56(2): 658-673 (2021) - [j126]Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
Erratum to "Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning". IEEE J. Solid State Circuits 56(9): 2895 (2021) - [j125]Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie:
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15(3): 574-586 (2021) - [j124]Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie:
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1230-1243 (2021) - [j123]Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie:
DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(8): 1586-1599 (2021) - [j122]Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, Yuan Xie:
Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2049-2062 (2021) - [j121]Ing-Chao Lin, Chi-Huan Tang, Chi-Ting Ni, Xing Hu, Yu-Tong Shen, Pei-Yin Chen, Yuan Xie:
A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1413-1417 (2021) - [j120]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie:
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 348-362 (2021) - [j119]Nan Wu, Lei Deng, Guoqi Li, Yuan Xie:
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 26(2): 11:1-11:27 (2021) - [c307]Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding:
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID 2021: 133-142 - [c306]Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie:
SEALing Neural Network Models in Encrypted Deep Learning Accelerators. DAC 2021: 1255-1260 - [c305]Nan Wu, Yuan Xie, Cong Hao:
IRONMAN: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2021: 39-44 - [c304]Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie:
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA 2021: 570-583 - [c303]Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla:
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c302]Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie:
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD 2021: 1-9 - [c301]Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie:
Improving Streaming Graph Processing Performance using Input Knowledge. MICRO 2021: 1036-1050 - [c300]Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie:
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - [c299]Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie:
On the Co-Design of Quantum Software and Hardware. NANOCOM 2021: 15:1-15:7 - [c298]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI 2021: 515-531 - [c297]Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding:
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP 2021: 278-291 - [c296]Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC 2021: 78:1-78:14 - [c295]Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding:
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX Annual Technical Conference 2021: 427-441 - [i46]Nan Wu, Yuan Xie:
A Survey of Machine Learning for Computer Architecture and Systems. CoRR abs/2102.07952 (2021) - [i45]Nan Wu, Yuan Xie, Cong Hao:
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. CoRR abs/2102.08138 (2021) - [i44]Eren Kurshan, Hai Helen Li, Mingoo Seok, Yuan Xie:
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications. CoRR abs/2103.04852 (2021) - [i43]Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie:
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. CoRR abs/2103.06653 (2021) - [i42]Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie:
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR abs/2106.16064 (2021) - [i41]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR abs/2107.11746 (2021) - [i40]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR abs/2110.09524 (2021) - [i39]Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie:
Transformer Acceleration with Dynamic Sparse Attention. CoRR abs/2110.11299 (2021) - [i38]Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie:
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training. CoRR abs/2111.13209 (2021) - 2020
- [j118]Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Characterizing and Understanding GCNs on GPU. IEEE Comput. Archit. Lett. 19(1): 22-25 (2020) - [j117]Peng Gu, Benjamin S. Lim, Wenqin Huangfu, Krishan T. Malladi, Andrew Chang, Yuan Xie:
NMTSim: Transaction-Command Based Simulator for New Memory Technology Devices. IEEE Comput. Archit. Lett. 19(1): 76-79 (2020) - [j116]Eren Kurshan, Hai Li, Mingoo Seok, Yuan Xie:
A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications. Int. J. Semantic Comput. 14(4): 457-475 (2020) - [j115]Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020) - [j114]Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121: 294-307 (2020) - [j113]Yukuan Yang, Lei Deng, Shuang Wu, Tianyi Yan, Yuan Xie, Guoqi Li:
Training high-performance and large-scale deep neural networks with full 8-bit integers. Neural Networks 125: 70-82 (2020) - [j112]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. Neural Networks 132: 108-120 (2020) - [j111]Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie:
Projection-based runtime assertions for testing and debugging Quantum programs. Proc. ACM Program. Lang. 4(OOPSLA): 150:1-150:29 (2020) - [j110]H.-S. Philip Wong, Kerem Akarvardar, Dimitri A. Antoniadis, Jeffrey Bokor, Chenming Hu, Tsu-Jae King Liu, Subhasish Mitra, James D. Plummer, Sayeef S. Salahuddin, Lei Deng, Xin-Guo Li, Song Han, Luping Shi, Yuan Xie, Elias Yaacoub, Mohamed-Slim Alouini, Ahmed Douik, Hayssam Dahrouj, Tareq Y. Al-Naffouri:
Scanning the Issue. Proc. IEEE 108(4): 483-484 (2020) - [j109]Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie:
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. Proc. IEEE 108(4): 485-532 (2020) - [j108]Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie:
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. 17(4): 31:1-31:25 (2020) - [j107]Yijin Guan, Guangyu Sun, Zhihang Yuan, Xingchen Li, Ningyi Xu, Shu Chen, Jason Cong, Yuan Xie:
Crane: Mitigating Accelerator Under-utilization Caused by Sparsity Irregularities in CNNs. IEEE Trans. Computers 69(7): 931-943 (2020) - [j106]Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li:
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [c294]Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS 2020: 385-399 - [c293]Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. ASPLOS 2020: 1031-1045 - [c292]Gushu Li, Yufei Ding, Yuan Xie:
Eliminating Redundant Computation in Noisy Quantum Computing Simulation. DAC 2020: 1-6 - [c291]Maohua Zhu, Yuan Xie:
Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. DAC 2020: 1-6 - [c290]Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI 2020: 83-88 - [c289]Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
HyGCN: A GCN Accelerator with Hybrid Architecture. HPCA 2020: 15-29 - [c288]Marzieh Lenjani, Patricia Gonzalez-Guerrero, Elaheh Sadredini, Shuangchen Li, Yuan Xie, Ameen Akel, Sean Eilert, Mircea R. Stan, Kevin Skadron:
Fulcrum: A Simplified Control and Access Mechanism Toward Flexible and Practical In-Situ Accelerators. HPCA 2020: 556-569 - [c287]Wenqin Huangfu, Krishna T. Malladi, Shuangchen Li, Peng Gu, Yuan Xie:
NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. ICCAD 2020: 28:1-28:9 - [c286]Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie:
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD 2020: 60:1-60:9 - [c285]Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie:
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML 2020: 6205-6215 - [c284]Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie:
iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. ISCA 2020: 804-817 - [c283]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain. ISCA 2020: 832-845 - [c282]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c281]Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa R. Alameldeen, Yuan Xie:
SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads. ISPASS 2020: 12-23 - [c280]Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie:
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750 - [i37]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. CoRR abs/2001.00254 (2020) - [i36]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR abs/2001.01587 (2020) - [i35]Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
HyGCN: A GCN Accelerator with Hybrid Architecture. CoRR abs/2001.02514 (2020) - [i34]Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie:
Memristor Hardware-Friendly Reinforcement Learning. CoRR abs/2001.06930 (2020) - [i33]Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Characterizing and Understanding GCNs on GPU. CoRR abs/2001.10160 (2020) - [i32]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. CoRR abs/2005.01206 (2020) - [i31]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. CoRR abs/2005.02183 (2020) - [i30]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR abs/2005.03403 (2020) - [i29]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR abs/2006.06608 (2020) - [i28]Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie:
SEALing Neural Network Models in Secure Deep Learning Accelerators. CoRR abs/2008.03752 (2020) - [i27]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR abs/2009.12495 (2020) - [i26]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and Inference for Integer-Based Semantic Segmentation Network. CoRR abs/2011.14504 (2020)
2010 – 2019
- 2019
- [j105]Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie:
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. 18(1): 38-42 (2019) - [j104]Dylan C. Stow, Amin Farmahini Farahani, Sudhanva Gurumurthi, Michael Ignatowski, Yuan Xie:
Power Profiling of Modern Die-Stacked Memory. IEEE Comput. Archit. Lett. 18(2): 132-135 (2019) - [j103]Yuan Xie, Jishen Zhao:
Emerging Memory Technologies. IEEE Micro 39(1): 6-7 (2019) - [j102]Itir Akgun, Dylan C. Stow, Yuan Xie:
Network-on-Chip Design Guidelines for Monolithic 3-D Integration. IEEE Micro 39(6): 46-53 (2019) - [j101]Guohao Dai, Tianhao Huang, Yuze Chi, Jishen Zhao, Guangyu Sun, Yongpan Liu, Yu Wang, Yuan Xie, Huazhong Yang:
GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 640-653 (2019) - [j100]Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang:
TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(5): 834-847 (2019) - [j99]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2043-2051 (2019) - [j98]Yunji Chen, Huiying Lan, Zidong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tianshi Chen:
An Instruction Set Architecture for Machine Learning. ACM Trans. Comput. Syst. 36(3): 9:1-9:35 (2019) - [j97]Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei:
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Trans. Parallel Distributed Syst. 30(1): 146-160 (2019) - [j96]Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yufei Ding, Weisheng Zhao, Yuan Xie:
DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System. IEEE Trans. Very Large Scale Integr. Syst. 27(9): 2046-2059 (2019) - [j95]Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yuan Xie, Weisheng Zhao:
PXNOR-BNN: In/With Spin-Orbit Torque MRAM Preset-XNOR Operation-Based Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 27(11): 2668-2679 (2019) - [c279]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI 2019: 1311-1318 - [c278]Jilan Lin, Zhenhua Zhu, Yu Wang, Yuan Xie:
Learning the sparsity for ReRAM: mapping and pruning sparse neural network for ReRAM based accelerator. ASP-DAC 2019: 639-644 - [c277]Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie:
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS 2019: 733-747 - [c276]Gushu Li, Yufei Ding, Yuan Xie:
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. ASPLOS 2019: 1001-1014 - [c275]Dylan C. Stow, Itir Akgun, Wenqin Huangfu, Yuan Xie, Xueqi Li, Gabriel H. Loh:
Efficient System Architecture in the Era of Monolithic 3D: Dynamic Inter-tier Interconnect and Processing-in-Memory. DAC 2019: 100 - [c274]Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie:
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC 2019: 177 - [c273]Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Weisheng Zhao, Yuan Xie:
CORN: In-Buffer Computing for Binary Neural Network. DATE 2019: 384-389 - [c272]Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie:
Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. DATE 2019: 800-805 - [c271]Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie:
Memory Trojan Attack on Neural Network Accelerators. DATE 2019: 1415-1420 - [c270]Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie:
CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI 2019: 283-286 - [c269]Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie:
Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA 2019: 373-386 - [c268]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c267]Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED 2019: 1-6 - [c266]Maohua Zhu, Tao Zhang, Zhenyu Gu, Yuan Xie:
Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs. MICRO 2019: 359-371 - [c265]Pengfei Zuo, Yu Hua, Yuan Xie:
SuperMem: Enabling Application-transparent Secure Persistent Memory with Low Overheads. MICRO 2019: 479-492 - [c264]Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie:
MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. MICRO 2019: 587-599 - [c263]Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO 2019: 615-628 - [c262]Dylan C. Stow, Itir Akgun, Yuan Xie:
Investigation of Cost-Optimal Network-on-Chip for Passive and Active Interposer Systems. SLIP 2019: 1-8 - [c261]Yuan Xie:
CRISP: Center for Research on Intelligent Storage and Processing-in-Memory. VLSI-DAT 2019: 1 - [i25]Pengfei Zuo, Yu Hua, Yuan Xie:
A Secure and Persistent Memory System for Non-volatile Memory. CoRR abs/1901.00620 (2019) - [i24]Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie:
QGAN: Quantized Generative Adversarial Networks. CoRR abs/1901.08263 (2019) - [i23]Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie:
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR abs/1901.09904 (2019) - [i22]Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR abs/1903.03916 (2019) - [i21]Gushu Li, Yufei Ding, Yuan Xie:
SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. CoRR abs/1904.11590 (2019) - [i20]Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding:
AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR abs/1908.11781 (2019) - [i19]Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li:
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. CoRR abs/1909.02384 (2019) - [i18]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR abs/1911.00822 (2019) - [i17]