2021
[TODAES'21] Tiancong Bu, Kaige Yan, and Jingweijia Tan. Towards Fine-Grained Online Adaptive Approximation Control for Dense SLAM on Embedded GPUs. ACM Transactions on Design Automation of Electronic Systems (TODAES), 27(2), Article 11, 2021.
[ASAP'21] Ben Li, Jingweijia Tan, Kaige Yan. AERO: Towards Energy-Efficient Autonomous Flight in MAVs Using Approximate Execution. 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2021.
[SC'21] Hengshan Yue, Xiaohui Wei, Guangli Li, Jianpeng Zhao, Nan Jiang, Jingweijia Tan. G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs. The International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021.
2020
[FGCS'20] Xiaohui Wei, Hengshan Yue, Shang Gao, Lina Li, Ruyu Zhang, Jingweijia Tan. G-SEAP: Analyzing and characterizing soft-error aware approximation in GPGPUs. Future Generation Computer System, 109: 262-274, 2020.
[TECS'20] Kaige Yan, Jingweijia Tan, Longjun Liu, Xingyao Zhang, Stanko R. Brankovic, Jinghong Chen, Xin Fu, Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users. ACM Transaction on Embedded Computer System (TECS), 18(6): 123:1-123:20, 2020.
[TODAES'20] Jingweijia Tan, Kaige Yan, Shuaiwen Leon Song, Xin Fu, Energy-Efficient GPU L2 Cache Design Using Instruction-Level Data Locality Similarity. ACM Transactions on Design Automation of Electronic Systems (TODAES), 25(6): 52:1-52:18, 2020.
[DATE'20] Xiaohui Wei, Hengshan Yue, Jingweijia Tan. LAD-ECC: Energy-Efficient ECC Mechanism for GPGPUs Register File. Design, Automation and Test in Europe Conference & Exhibition (DATE), 2020.
[GLSVLSI'20] Liqi Ping, Jingweijia Tan, Kaige Yan. SERN: Modeling and Analyzing the Soft Error Reliability of Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (GLSVLSI), 2020.
2019
[ICCD'19] Maodi Ma, Jingweijia Tan, Xiaohui Wei and Kaige Yan. Process Variation Mitigation on Convolutional Neural Network Accelerator Architecture, 2019 IEEE International Conference on Computer Design (ICCD), 2019.
[JSA'19] Kaige Yan, Jingweijia Tan, Xin Fu, Improving energy efficiency of mobile devices by characterizing and exploring user behaviors, Journal of Systems Architecture (JSA), Volume 98, Pages 126-134, 2019.
[PMC'19] Kaige Yan, Jingweijia Tan, Xin Fu, Bridging mobile device configuration to the user experience under budget constraint, Pervasive and Mobile Computing (PMC), Volume 58, 101023, 2019.
[DATE'19] Jingweijia Tan, Kaige Yan, Shuaiwen Leon Song and Xin Fu, LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache. Design, Automation and Test in Europe Conference & Exhibition (DATE), 2019.
[TODAES'19] Jingweijia Tan and Kaige Yan, Efficiently Managing the Impact of Hardware Variability on GPUs' Streaming Processors, ACM Transactions on Design Automation of Electronic Systems (TODAES), 24(1), No. 12, 2019.
2018
[DATE'18] Jingweijia Tan and Kaige Yan, "HVSM: Hardware-Variability Aware Streaming Processors' Management Policy in GPUs", Design, Automation and Test in Europe Conference & Exhibition (DATE), 2018. （Best Paper Nomination)