Xiaoyao Liang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 88

Top Venues

Publications

Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing. ASPLOS (2) (2024)
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA (2024)
Yilong Zhao, Mingyu Gao, Fangxin Liu, Yiwei Hu, Zongwu Wang, Han Lin, Jin Li, He Xian, Hanlin Dong, Tao Yang, Naifeng Jing, Xiaoyao Liang, Li Jiang
UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. ISCA (2024)
Cheng Gu, Gang Li, Xiaolong Lin, Jiayao Ling, Xiaoyao Liang
GNeRF: Accelerating Neural Radiance Fields Inference via Adaptive Sample Gating. ISCAS (2024)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity. IEEE Trans. Computers 73 (9) (2024)
Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE (2024)
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. DATE (2024)
Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang
Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85 (2023)
Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. DAC (2023)
Xuhang Wang, Zhuoran Song, Xiaoyao Liang
RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators. ICCD (2023)
Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang
DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture. ICCD (2023)
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD (2023)
Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42 (7) (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR (2023)
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. ACM TUR-C (2023)
Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE (2023)
Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang
ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition. ICCD (2023)
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR (2023)
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
-VOR: An End-to-End En/Decoder Architecture for Efficient Video Object Recognition. ACM Trans. Design Autom. Electr. Syst. 28 (1) (2023)
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity. CoRR (2022)
Xiaofeng Hou, Chao Li, Jinghang Yang, Wenli Zheng, Xiaoyao Liang, Minyi Guo
Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data Centers. IEEE Trans. Cloud Comput. 10 (3) (2022)
Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang
SR: an end-to-end video CODEC assisted system for super resolution acceleration. DAC (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC (2022)
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. ICCAD (2022)
Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang
Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO (2022)
Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang
GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training. ICCD (2022)
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR (2022)
Yilong Zhao, Li Jiang, Mingyu Gao, Naifeng Jing, Chengyang Gu, Qidong Tang, Fangxin Liu, Tao Yang, Xiaoyao Liang
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN. CoRR (2022)
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. FPGA (2022)
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. CoRR (2022)
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR (2021)
Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He
Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support. ACM Great Lakes Symposium on VLSI (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV (2021)
Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication. ACM Great Lakes Symposium on VLSI (2021)
Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD (2021)
Nanyang Ye, Jingbiao Mei, Zhicheng Fang, Yuwen Zhang, Ziqing Zhang, Huaying Wu, Xiaoyao Liang
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. DAC (2021)
Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) (2021)
Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (1) (2021)
Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom (2021)
Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology (2021)
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. CoRR (2021)
Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC (2021)
Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. ISCA (2020)
Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC (2020)
Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM (2020)
Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang
ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory. ACM Great Lakes Symposium on VLSI (2020)
Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing
PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration. HPCC/DSS/SmartCity (2020)
Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC (2020)
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO (2020)
Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang
FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
A Prediction Model of Microsatellite Status from Histology Images. ICBET (2020)
Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP (2020)
Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang
Selective Detection and Segmentation of Cervical Cells. ICBBT (2019)
Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. 24 (6) (2019)
Xiaoyi Sun, Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Hai Cao, Yinhe Han, Xiaoyao Liang, Li Jiang
System-level hardware failure prediction using deep learning. DAC (2019)
Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. ASP-DAC (2019)
Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
Approximate Random Dropout for DNN training acceleration in GPGPU. DATE (2019)
Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
A sharing-aware L1.5D cache for data reuse in GPGPUs. ASP-DAC (2019)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: approximate computing using an end-to-end trainable neural network. ICCAD (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR (2018)
Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang
A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only). FPGA (2018)
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
Approximate Random Dropout. CoRR (2018)
Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang
AXNet: ApproXimate computing using an end-to-end trainable neural network. CoRR (2018)
Li Jiang, Tianjian Li, Naifeng Jing, Nam Sung Kim, Minyi Guo, Xiaoyao Liang
CNFET-Based High Throughput SIMD Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (7) (2018)
Pu Pang, Yixun Zhang, Tianjian Li, Sung Kyu Lim, Quan Chen, Xiaoyao Liang, Li Jiang
In-growth test for monolithic 3D integrated SRAM. DATE (2018)
Jianfei Wang, Qin Wang, Li Jiang, Chao Li, Xiaoyao Liang, Naifeng Jing
IBOM: An Integrated and Balanced On-Chip Memory for High Performance GPGPUs. IEEE Trans. Parallel Distributed Syst. 29 (3) (2018)
Tianjian Li, Yan Han, Xiaoyao Liang, Hsien-Hsin S. Lee, Li Jiang
Fault clustering technique for 3D memory BISR. DATE (2017)
Tianjian Li, Xiangyu Bi, Naifeng Jing, Xiaoyao Liang, Li Jiang
Sneak-Path Based Test and Diagnosis for 1R RRAM Crossbar Using Voltage Bias Technique. DAC (2017)
Jianfei Wang, Fengfeng Fan, Li Jiang, Xiaoyao Liang, Naifeng Jing
Incorporating selective victim cache into GPGPU for high-performance computing. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Xiaodong Meng, Chentao Wu, Minyi Guo, Jie Li, Xiaoyao Liang, Bin Yao, Long Zheng
A Hint Frequency Based Approach to Enhancing the I/O Performance of Multilevel Cache Storage Systems. J. Comput. Sci. Technol. 32 (2) (2017)
Lerong Chen, Jiawen Li, Yiran Chen, Qiuping Deng, Jiyuan Shen, Xiaoyao Liang, Li Jiang
Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar. DATE (2017)
Naifeng Jing, Shunning Jiang, Shuang Chen, Jingjie Zhang, Li Jiang, Chao Li, Xiaoyao Liang
Bank Stealing for a Compact and Efficient Register File Architecture in GPGPU. IEEE Trans. Very Large Scale Integr. Syst. 25 (2) (2017)
Chengwen Xu, Xiangyu Wu, Wenqi Yin, Qiang Xu, Naifeng Jing, Xiaoyao Liang, Li Jiang
On Quality Trade-off Control for Approximate Computing Using Iterative Training. DAC (2017)
Yu Wang, Weikang Qian, Shuchang Zhang, Xiaoyao Liang, Bo Yuan
A Learning Algorithm for Bayesian Networks and Its Efficient Implementation on GPUs. IEEE Trans. Parallel Distributed Syst. 27 (1) (2016)
Tianjian Li, Li Jiang, Naifeng Jing, Nam Sung Kim, Xiaoyao Liang
CNFET-based high throughput register file architecture. ICCD (2016)
Fengfeng Fan, Jianfei Wang, Li Jiang, Xiaoyao Liang, Naifeng Jing
Applying Victim Cache in High Performance GPGPU Computing. ISPDC (2016)
Tianjian Li, Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
A Novel Test Method for Metallic CNTs in CNFET-Based SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (7) (2016)
Naifeng Jing, Li Jiang, Tao Zhang, Chao Li, Fengfeng Fan, Xiaoyao Liang
Energy-Efficient eDRAM-Based On-Chip Storage Architecture for GPGPUs. IEEE Trans. Computers 65 (1) (2016)
Naifeng Jing, Jianfei Wang, Fengfeng Fan, Wenkang Yu, Li Jiang, Chao Li, Xiaoyao Liang
Cache-emulated register file: An integrated on-chip memory architecture for high performance GPGPUs. MICRO (2016)
Tianjian Li, Li Jiang, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty
Defect tolerance for CNFET-based SRAMs. ITC (2016)
Chao Li, Zhenhua Wang, Xiaofeng Hou, Haopeng Chen, Xiaoyao Liang, Minyi Guo
Power Attack Defense: Securing Battery-Backed Data Centers. ISCA (2016)
Yiqing Hua, Chao Li, Weichao Tang, Li Jiang, Xiaoyao Liang
Building Fuel Powered Supercomputing Data Center at Low Cost. ICS (2015)
Chen Wang, Li Jiang, Shiyan Hu, Tianjian Li, Xiaoyao Liang, Naifeng Jing, Weikang Qian
Timing-driven placement for carbon nanotube circuits. SoCC (2015)
Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
Jump test for metallic CNTs in CNFET-based SRAM. DAC (2015)
Weichao Tang, Yu Wang, Haopeng Liu, Tao Zhang, Chao Li, Xiaoyao Liang
Exploring Hardware Profile-Guided Green Datacenter Scheduling. ICPP (2015)
Tianjian Li, Hao Chen, Weikang Qian, Xiaoyao Liang, Li Jiang
On microarchitectural modeling for CNFET-based circuits. SoCC (2015)
Xiangyu Wu, Yuanfang Xia, Naifeng Jing, Xiaoyao Liang
CGSharing: Efficient content sharing in GPU-based cloud gaming. ISLPED (2015)
Naifeng Jing, Shuang Chen, Shunning Jiang, Li Jiang, Chao Li, Xiaoyao Liang
Bank stealing for conflict mitigation in GPGPU Register File. ISLPED (2015)
Tao Zhang, Jingjie Zhang, Wei Shu, Min-You Wu, Xiaoyao Liang
Efficient graph computation on hybrid CPU and GPU systems. J. Supercomput. 71 (4) (2015)
Chao Li, Yang Hu, Longjun Liu, Juncheng Gu, Mingcong Song, Xiaoyao Liang, Jingling Yuan, Tao Li
Towards sustainable in-situ server systems in the big data era. ISCA (2015)
Li Jiang, Pu Pang, Naifeng Jing, Sung Kyu Lim, Xiaoyao Liang, Qiang Xu
On diagnosable and tunable 3D clock network design for lifetime reliability enhancement. ITC (2015)
Li Jiang, Xiangwei Huang, Hongfeng Xie, Qiang Xu, Chao Li, Xiaoyao Liang, Huiyun Li
A novel TSV probing technique with adhesive test interposer. ICCD (2015)
Tao Zhang, Naifeng Jing, Kaiming Jiang, Wei Shu, Min-You Wu, Xiaoyao Liang
Buddy SM: Sharing Pipeline Front-End for Improved Energy Efficiency in GPGPUs. ACM Trans. Archit. Code Optim. 12 (2) (2015)

Xiaoyao Liang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiaoyao Liang