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ORCIDYuan Xie 0001
Person information
- affiliation: Alibaba DAMO Academy
- affiliation (former): University of California at Santa Barbara, CA, USA
- affiliation (2003 - 2013): Pennsylvania State University, Philadelphia, PA, USA
- affiliation (PhD 2002): Princeton University, Princeton, NJ, 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 — Guilin University of Electronic Technology, School of Computer and Information Security, China
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2020 – today
- 2023
[j157]Nan Wu, Yuan Xie:
A Survey of Machine Learning for Computer Architecture and Systems. ACM Comput. Surv. 55(3): 54:1-54:39 (2023)- [j156]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58(1): 243-255 (2023) - [j155]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58(6): 1798-1809 (2023) - [j154]Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16(7): 1615-1628 (2023) - [j153]Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie:
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 109-121 (2023) - [j152]Nan Wu, Yuan Xie, Cong Hao:
IronMan-Pro: Multiobjective Design Space Exploration in HLS via Reinforcement Learning and Graph Neural Network-Based Modeling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 900-913 (2023) - [j151]Yiqi Wang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 214-227 (2023) - [j150]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. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2569-2583 (2023) - [c341]Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP 2023: 369-379 - [i75]Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie:
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks. CoRR abs/2303.08256 (2023) - [i74]Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yenkuang Chen, Hongzhong Zheng, Yuan Xie:
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network. CoRR abs/2304.08880 (2023) - 2022
- [j149]Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie:
Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. IEEE Access 10: 46796-46807 (2022) - [j148]Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Hongzhong Zheng, Yuan Xie:
Accelerating CPU-Based Sparse General Matrix Multiplication With Binary Row Merging. IEEE Access 10: 79237-79248 (2022) - [j147]Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Linyong Huang, Hongzhong Zheng, Yuan Xie:
OpSparse: A Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs. IEEE Access 10: 85960-85974 (2022) - [j146]Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie:
MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. IEEE Comput. Archit. Lett. 21(1): 1-4 (2022) - [j145]Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Characterizing and Understanding HGNNs on GPUs. IEEE Comput. Archit. Lett. 21(2): 69-72 (2022) - [j144]Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan:
EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing 503: 49-61 (2022) - [j143]Jeong-Jun Lee, Wenrui Zhang, Yuan Xie, Peng Li:
SaARSP: An Architecture for Systolic-Array Acceleration of Recurrent Spiking Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 18(4): 68:1-68:23 (2022) - [j142]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) - [j141]Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang:
HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database. Proc. VLDB Endow. 16(4): 601-614 (2022) - [j140]Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie:
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71(2): 266-281 (2022) - [j139]Gongjian Sun, Mingyu Yan, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Multi-Node Acceleration for Large-Scale GCNs. IEEE Trans. Computers 71(12): 3140-3152 (2022) - [j138]Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie:
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [j137]Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie:
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71(12): 3254-3267 (2022) - [j136]Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [j135]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 936-949 (2022) - [j134]Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding:
STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1358-1370 (2022) - [j133]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. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4782-4796 (2022) - [c340]Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao:
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models. ASAP 2022: 11-18 - [c339]Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie:
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c338]Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie:
Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels. ASPLOS 2022: 554-569 - [c337]Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie:
A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. ASPLOS 2022: 669-682 - [c336]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CVPR 2022: 12277-12288 - [c335]Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao:
High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing. DAC 2022: 49-54 - [c334]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [c333]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating datapath conflicts and design centralization in graph analytics acceleration. DAC 2022: 901-906 - [c332]Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie:
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC 2022: 1153-1158 - [c331]Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie:
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE 2022: 658-663 - [c330]Sicheng Li, Chen Bai, Xuechao Wei, Bizhao Shi, Yen-Kuang Chen, Yuan Xie:
2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration. ICCAD 2022: 95 - [c329]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR 2022 - [c328]Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Nianxiong Tan, Xiaopeng Yu, Hongzhong Zheng, Jianyi Meng, Xiaolang Yan, Yuan Xie:
Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio. ICPADS 2022: 483-490 - [c327]Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI 2022: 555-562 - [c326]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. IJCAI 2022: 5521-5529 - [c325]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - [c324]Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang:
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA 2022: 130-145 - [c323]Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie:
A synthesis framework for stitching surface code with superconducting quantum devices. ISCA 2022: 337-350 - [c322]Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du, Fei Xue, Yuanwei Fang, Hongzhong Zheng, Yuan Xie:
Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. ISCA 2022: 946-961 - [c321]Dimin Niu, Shuangchen Li, Yuhao Wang, Wei Han, Zhe Zhang, Yijin Guan, Tianchan Guan, Fei Sun, Fei Xue, Lide Duan, Yuanwei Fang, Hongzhong Zheng, Xiping Jiang, Song Wang, Fengguo Zuo, Yubing Wang, Bing Yu, Qiwei Ren, Yuan Xie:
184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System. ISSCC 2022: 1-3 - [c320]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration. ISSCC 2022: 1-3 - [c319]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC 2022: 466-468 - [c318]Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie:
BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support. MICRO 2022: 727-743 - [c317]Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding:
AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs. MICRO 2022: 1027-1041 - [c316]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. MLSys 2022 - [c315]Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie:
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS 2022 - [c314]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX Annual Technical Conference 2022: 167-182 - [i73]Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao:
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing. CoRR abs/2201.06848 (2022) - [i72]Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao:
Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information. CoRR abs/2201.08455 (2022) - [i71]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. CoRR abs/2202.04822 (2022) - [i70]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - [i69]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. CoRR abs/2202.11343 (2022) - [i68]Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR abs/2203.00091 (2022) - [i67]Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie:
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR abs/2203.05016 (2022) - [i66]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CoRR abs/2203.15794 (2022) - [i65]Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie:
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR abs/2205.01625 (2022) - [i64]Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie Xu, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C.-J. Richard Shi, Junwen Luo, Yuan Xie:
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition. CoRR abs/2206.01910 (2022) - [i63]Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Hongzhong Zheng, Yuan Xie:
Accelerating CPU-based Sparse General Matrix Multiplication with Binary Row Merging. CoRR abs/2206.06611 (2022) - [i62]Tianqi Tang, Yuan Xie:
Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies. CoRR abs/2206.07308 (2022) - [i61]Gongjian Sun, Mingyu Yan, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Multi-node Acceleration for Large-scale GCNs. CoRR abs/2207.07258 (2022) - [i60]Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Characterizing and Understanding HGNNs on GPUs. CoRR abs/2208.04758 (2022) - [i59]Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung:
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR abs/2208.06049 (2022) - [i58]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR abs/2209.12708 (2022) - [i57]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR abs/2210.16691 (2022) - [i56]Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie:
A Comprehensive Survey on Distributed Training of Graph Neural Networks. CoRR abs/2211.05368 (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) - [c313]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 - [c312]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 - [c311]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 - [c310]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 - [c309]Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie:
NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. HPCA 2021: 841-853 - [c308]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 - [c307]Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie:
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD 2021: 1-9 - [c306]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 - [c305]Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie:
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - [c304]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 - [c303]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 - [c302]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 - [c301]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 - [c300]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 - [i55]Nan Wu, Yuan Xie:
A Survey of Machine Learning for Computer Architecture and Systems. CoRR abs/2102.07952 (2021) - [i54]Nan Wu, Yuan Xie, Cong Hao:
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. CoRR abs/2102.08138 (2021) - [i53]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) - [i52]