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实验室近年发表的会议论文

2020

[ISCA’20] Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang. DRQ: Dynamic Region-Based Quantization for Deep Neural Network Acceleration. To appear in IEEE/ACM International Symposium on Computer Architecture, ISCA, 2020

[GLSVLSI’20] Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang and Li Jiang.ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory. To appear in ACM Great Lakes Symposium on VLSI, GLSVLSI, 2020

[DAC’20] 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.To appear in ACM/IEEE Design Automation Conference, DAC, 2020

[ICBET’20] Jing Ke, Qiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang. A Prediction Model for Microsatellite Status from Histology Images. 2020 ACM 10th International Conference on Biomedical Engineering and Technology, 2020

[ACSW’20] 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.ACM International Conference Proceeding Series, February 4, 2020, Proceedings of the Australasian Computer Science Week Multiconference 2020

[DAC’20] Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han and Li Jiang. PIM-Prune: Fine-Grain DCNN pruning for Crossbar-based Process-In-Memory architecture. To appear in ACM/IEEE Design Automation Conference, DAC, 2020

2019

[ICBBT’19]Jing Ke, Zhaoming Jiang,Changchang Liu,Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang.Selective detection and segmentation of cervical cells.ACM International Conference Proceeding Series, Proceedings of 2019 the 11th International Conference on Bioinformatics and Biomedical Technology, pp.55-61, May 29, 2019

[DATE’19]Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang and Li Jiang. Approximate Random Dropout for DNN Training Acceleration in GPGPU. In Design, Automation & Test in Europe Conference & Exhibition, Florence, Italy, pp.108-103, March21-25,2019. (CCF-B)

[DAC’19] 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. To appear in ACM/IEEE Design Automation Conference, Las vegas, US, June 2-6, 2019.(CCF-A)

[ASP-DAC'19]Jianfei Wang, Li Jiang, Jing Ke, Xiaoyao Liang and Naifeng Jing.“A Sharing-Aware L1.5D Cache for Data Reuse in GPGPUs”,accepted by Asia and South Pacific Design Automation Conference, Tokyo, Japan, pp.1-6, January 21-24, 2019. (CCF-C)

[ASP-DAC'19]Houxiang Ji, Li Jiang, Tianjian Li, Naifeng Jing, Jing Ke, Xiaoyao Liang.HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing. Proceedings of the 24th Asia and South Pacific Design Automation Conference, Tokyo, Japan, pp.249-254, January 21-24, 2019.(CCF-C)

2018

[TCAD'18]Li Jiang, Tianjian Li, Naifeng Jing, Nam Sung Kim, Minyi Guo, and Xiaoyao Liang. Cnfet-based High Throughput SIMD Architecture. IEEE Transaction on CAD of Integrated Circuits and Systems, 37(7):1331-1344, 2018. (CCF-A)

[ICCAD'18]ZhenghaoPeng;XuyangChenChengwenXu,NaifengJing,XiaoyaoLiang,Cewu Lu,Li Jiang.AXNet: ApproXimate computing using an end-to-end trainable neural network,acceptedbyIEEE/ACM International Conference on Computer-Aided Design ,San Diego, CA, United states, November 5-8, 2018. (CCF-B)

[FPGA’18]Haiyue Song, Xiang Song, Tianjian Li, Naifeng Jing, Xiaoyao Liang and Li Jiang. A FPGA friendly approximate computing framework with hybrid Neural networks. ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Monterey, California, February 25~27, 2018. (CCF-B)

[DATE’18]Pu Pang, Yixun Zhang, Tianjian Li, Sung Kyu Lim, Quan Chen, Xiaoyao Liang and Li Jiang. In-growth Test for Monolithic 3D SRAM, accepted by ACM/IEEE Design Automation and Test in Europe Conference, Dresden, Germany, pp.569-572, March 19-23, 2018. (CCF-B)

[ICCAD'18]Haiyue Song, Li Jiang, Chengwen Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang and Qiang Xu. Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. In Proceedings of the International Conference on Computer-Aided Design, San Diego, CA, USA, pp.50. November 5-8, 2018.(CCF-B) 

2017

[DAC'17]Chengwen Xu, Xiangyu Wu, Wenqi Yin, Qiang Xu, Naifeng Jing, Xiaoyao Liang and Li Jiang. On Quality Trade-off Control for Approximate Computing using Iterative Training. ACM/IEEE 2017 Design Automation Conference,Austin,TX,USAJune 16-18, 2017. (CCF-B)

[DAC'17]Tianjian Li, Xiangyu Bi, Naifeng Jing, Xiaoyao Liang and Li Jiang. Sneak-path based Test and Diagnosis for 1R RRAM Crossbar using Voltage Bias Technique. ACM/IEEE 2017 Design Automation Conference , Austin, TX, USA, June 16-18, 2017. (CCF-B)

[DATE'17]Lerong Chen, Jiawen Li, Yiran Chen, Qiuping Deng, Jiyuan Shen, Xiaoyao Liang and Li Jiang. Accelerator-friendly Neural-network Training: Learning Variations and Defects in RRAM Crossbar. The ACM/IEEE Design Automation & Test in Europe Conference and Exhibition, Lausanne, Switzerland. pp.19-24,March 27-31, 2017. (CCF-B)

[DATE'17]Tianjian Li, Yan Han, Xiaoyao Liang, Hsien-Hsin S. Lee and Li Jiang. Fault Clustering Technique for 3D Memory BISR. The ACM/IEEE Design Automation & Test in Europe Conference and Exhibition, Lausanne, Switzerland. pp. 560-565, March 27-31,2017. (CCF-B)

2016 

[MICRO'16]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, in Proceeding of the 49th Annual IEEE/ACM International Symposium on Microarchitecture,Taipei,Taiwan, pp.1-12,Oct 15-19, 2016. (CCF-A)

[ISCA'16]Chao Li, Zhenhua Wang, Xiaofeng Hou, Haopeng Chen, Xiaoyao Liang, and Minyi Guo. Power Attack Defense: Securing Battery-Backed Data Centers. The 43rd ACM/IEEE International Symposium on Computer Architecture, Seoul Korea, June 18-22,2016. (CCF-A).

[ISPDC’16]Fengfeng Fan, Jianfei Wang, Li Jiang, Xiaoyao Liang and Naifeng Jing. Applying Victim Cache in High Performance GPGPU Computing. The International Symposium on Parallel and Distributed Computing,Fuzhou, China, pp.24-29, July 8-10,2016.(Best Paper Award)

[ITC’16]Tianjian Li, Li Jiang, Xiaoyao Liang, Qiang Xu andKrishnendu Chakrabarty. Defect Tolerance for CNFET-based SRAMs. IEEE International Test Conference,, Fort Worth,USA.November 15-17,2016.(CCF-B)

[ICCD’16]Tianjian Li, Li Jiang, Naifeng Jing, Nam Sung Kim and Xiaoyao Liang. CNFET-Based High Throughput Register File Architecture. IEEE International Conference on Computer Design. Scottsdale, AZ, USA,pp.662-669.October 2-5,2016.(CCF-B)

[ICICM’16]Xiangwei Huang , Pu Pang, Xiaoyao Liang and Li Jiang.A Cost-effective Pre-bond Functional Test Architecture for 3D SoCs.2016 International Conference on Integrated Circuits and Microsystems, Chengdu, China, pp.242-247. November 23-25,2016.

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