
Yuan 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
— 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
- 2021
- [j119]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) - 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]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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 (2020) - [c291]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 - [c290]Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. ASPLOS 2020: 1031-1045 - [c289]Gushu Li, Yufei Ding, Yuan Xie:
Eliminating Redundant Computation in Noisy Quantum Computing Simulation. DAC 2020: 1-6 - [c288]Maohua Zhu, Yuan Xie:
Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. DAC 2020: 1-6 - [c287]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 - [c286]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 - [c285]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 - [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 - [i36]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) - [i35]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) - [i34]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) - [i33]Nan Wu, Adrien F. Vincent, Dmitri Strukov, Yuan Xie:
Memristor Hardware-Friendly Reinforcement Learning. CoRR abs/2001.06930 (2020) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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 - [i24]Pengfei Zuo, Yu Hua, Yuan Xie:
A Secure and Persistent Memory System for Non-volatile Memory. CoRR abs/1901.00620 (2019) - [i23]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) - [i22]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) - [i21]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) - [i20]Gushu Li, Yufei Ding, Yuan Xie:
SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. CoRR abs/1904.11590 (2019) - [i19]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) - [i18]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) - [i17]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) - [i16]Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie:
Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer. CoRR abs/1911.12855 (2019) - [i15]Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. CoRR abs/1911.12879 (2019) - 2018
- [j94]Ling Liang
, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li
, Yuan Xie:
Crossbar-Aware Neural Network Pruning. IEEE Access 6: 58324-58337 (2018) - [j93]Abanti Basak
, Xing Hu, Shuangchen Li, Sang Min Oh
, Yuan Xie:
Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads. IEEE Comput. Archit. Lett. 17(2): 197-200 (2018) - [j92]Lixue Xia
, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie
, Yu Wang
, Huazhong Yang:
Stuck-at Fault Tolerance in RRAM Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 102-115 (2018) - [j91]Xing Hu, Dylan C. Stow, Yuan Xie:
Die Stacking Is Happening. IEEE Micro 38(1): 22-28 (2018) - [j90]Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan:
IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors. IEEE Micro 38(4): 11-19 (2018) - [j89]Lixue Xia
, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen
, Shimeng Yu, Yu Cao, Yu Wang
, Yuan Xie
, Huazhong Yang:
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 1009-1022 (2018) - [j88]Ing-Chao Lin
, Yun Kae Law, Yuan Xie
:
Mitigating BTI-Induced Degradation in STT-MRAM Sensing Schemes. IEEE Trans. Very Large Scale Integr. Syst. 26(1): 50-62 (2018) - [j87]Linuo Xue
, Bi Wu
, Beibei Zhang, Yuanqing Cheng
, Peiyuan Wang, Chando Park
, Jimmy J. Kan
, Seung H. Kang, Yuan Xie:
An Adaptive 3T-3MTJ Memory Cell Design for STT-MRAM-Based LLCs. IEEE Trans. Very Large Scale Integr. Syst. 26(3): 484-495 (2018) - [j86]Maohua Zhu
, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie
:
Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 831-840 (2018) - [j85]Mimi Xie
, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu
, Yuan Xie
:
Securing Emerging Nonvolatile Main Memory With Fast and Energy-Efficient AES In-Memory Implementation. IEEE Trans. Very Large Scale Integr. Syst. 26(11): 2443-2455 (2018) - [c260]Peng Gu, Dylan C. Stow, Prashansa Mukim, Shuangchen Li, Yuan Xie:
Cost-efficient 3D Integration to Hinder Reverse Engineering During and After Manufacturing. AsianHOST 2018: 74-79 - [c259]Yu Ji, Youhui Zhang, Wenguang Chen, Yuan Xie:
Bridge the Gap between Neural Networks and Neuromorphic Hardware with a Neural Network Compiler. ASPLOS 2018: 448-460 - [c258]Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie:
NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing. ASPLOS 2018: 782-796 - [c257]Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie:
RADAR: a 3D-reRAM based DNA alignment accelerator architecture. DAC 2018: 59:1-59:6 - [c256]Xianwei Cheng, Yang Zhao, Hui Zhao, Yuan Xie:
Packet pump: overcoming network bottleneck in on-chip interconnects for GPGPUs. DAC 2018: 84:1-84:6 - [c255]Peiqi Wang, Yu Ji, Chi Hong, Yongqiang Lyu, Dongsheng Wang, Yuan Xie:
SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory. DAC 2018: 106:1-106:6 - [c254]Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuangang Wang, Yuan Xie:
AIM: Fast and energy-efficient AES in-memory implementation for emerging non-volatile main memory. DATE 2018: 625-628 - [c253]Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie:
GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS 2018: 79-84 - [c252]Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie:
Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. MICRO 2018: 494-506 - [c251]Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie:
SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO 2018: 696-709 - [c250]Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie:
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS 2018: 602-612 - [c249]Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie:
TETRIS: TilE-matching the TRemendous Irregular Sparsity. NeurIPS 2018: 4119-4129 - [i14]Yu Ji, Youhui Zhang, Wenguang Chen, Yuan Xie:
Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler. CoRR abs/1801.00746 (2018) - [i13]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i12]Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie:
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR abs/1806.00512 (2018) - [i11]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-aware neural network pruning. CoRR abs/1807.10816 (2018) - [i10]Gushu Li, Yufei Ding, Yuan Xie:
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. CoRR abs/1809.02573 (2018) - [i9]Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie:
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR abs/1809.08358 (2018) - [i8]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - [i7]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018) - 2017
- [j84]Jishen Zhao, Qiaosha Zou, Yuan Xie:
Overview of 3-D Architecture Design Opportunities and Techniques. IEEE Des. Test 34(4): 60-68 (2017) - [j83]Kaiyuan Guo, Song Han, Song Yao, Yu Wang, Yuan Xie, Huazhong Yang:
Software-Hardware Codesign for Efficient Neural Network Acceleration. IEEE Micro 37(2): 18-25 (2017) - [j82]Chao Wang
, Lei Gong, Qi Yu, Xi Li, Yuan Xie, Xuehai Zhou:
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(3): 513-517 (2017) - [j81]Kaisheng Ma, Xueqing Li, Huichu Liu, Xiao Sheng, Yiqun Wang, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson, Vijaykrishnan Narayanan:
Dynamic Power and Energy Management for Energy Harvesting Nonvolatile Processor Systems. ACM Trans. Embed. Comput. Syst. 16(4): 107:1-107:23 (2017) - [j80]Qiaosha Zou
, Eren Kursun, Yuan Xie:
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