Analyzing soft-error vulnerability on GPGPU microarchitecture. - Jingweijia Tan; Nilanjan Goswami; Tao Li 006; Xin Fu (IISWC, 2011)

RISE: improving the streaming processors reliability against soft errors in gpgpus. - Jingweijia Tan; Xin Fu (PACT, 2012)

Cost-effective soft-error protection for SRAM-based structures in GPGPUs. - Jingweijia Tan; Zhi Li 016; Xin Fu (Conf. Computing Frontiers, 2013)

Hybrid CMOS-TFET based register files for energy-efficient GPGPUs. - Zhi Li 016; Jingweijia Tan; Xin Fu (ISQED, 2013)

Modeling and characterizing GPGPU reliability in the presence of soft errors. - Jingweijia Tan; Yang Yi 002; Fangyang Shen; Xin Fu (Parallel Comput., 2013)

Soft-error reliability and power co-optimization for GPGPUS register file using resistive memory. - Jingweijia Tan; Zhi Li 016; Xin Fu (DATE, 2015)

Mitigating the Susceptibility of GPGPUs Register File to Process Variations. - Jingweijia Tan; Xin Fu (IPDPS, 2015)

Combating the Reliability Challenge of GPU Register File at Low Supply Voltage. - Jingweijia Tan; Shuaiwen Leon Song; Kaige Yan; Xin Fu; Andrés Márquez 001; Darren J. Kerbyson (PACT, 2016)

Redefining QoS and customizing the power management policy to satisfy individual mobile users. - Kaige Yan; Xingyao Zhang; Jingweijia Tan; Xin Fu (MICRO, 2016)

Exploring Soft-Error Robust and Energy-Efficient Register File in GPGPUs using Resistive Memory. - Jingweijia Tan; Zhi Li 016; Mingsong Chen 001; Xin Fu (ACM Trans. Design Autom. Electr. Syst., 2016)

Mitigating the Impact of Hardware Variability for GPGPUs Register File. - Jingweijia Tan; Mingsong Chen 001; Yang Yi 002; Xin Fu (IEEE Trans. Parallel Distributed Syst., 2016)

Emerging technology enabled energy-efficient GPGPUs register file. - Chenhao Xie 001; Jingweijia Tan; Mingsong Chen 001; Yang Yi 002; Lu Peng 001; Xin Fu (Microprocess. Microsystems, 2017)

HVSM: Hardware-variability aware streaming processors' management policy in GPUs. - Jingweijia Tan; Kaige Yan (DATE, 2018)

Multi-Core Processor Scheduling Algorithm under The Influence Of Process Variation. - Xiaohui Wei 002; Lishuang Su; Jingweijia Tan (ICACS, 2018)

Data Quality Aware Task Allocation With Budget Constraint in Mobile Crowdsensing. - Xiaohui Wei 002; Yongfang Wang; Jingweijia Tan; Shang Gao 005 (IEEE Access, 2018)

Evaluating the Soft Error Resilience of Instructions for GPU Applications. - Xiaohui Wei 002; Ruyu Zhang; Yuanyuan Liu 007; Hengshan Yue; Jingweijia Tan (CSE/EUC, 2019)

LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache. - Jingweijia Tan; Kaige Yan; Shuaiwen Leon Song; Xin Fu (DATE, 2019)

Process Variation Mitigation on Convolutional Neural Network Accelerator Architecture. - Maodi Ma; Jingweijia Tan; Xiaohui Wei 002; Kaige Yan (ICCD, 2019)

Improving energy efficiency of mobile devices by characterizing and exploring user behaviors. - Kaige Yan; Jingweijia Tan; Xin Fu (J. Syst. Archit., 2019)

Bridging mobile device configuration to the user experience under budget constraint. - Kaige Yan; Jingweijia Tan; Xin Fu (Pervasive Mob. Comput., 2019)

Efficiently Managing the Impact of Hardware Variability on GPUs' Streaming Processors. - Jingweijia Tan; Kaige Yan (ACM Trans. Design Autom. Electr. Syst., 2019)

LAD-ECC: Energy-Efficient ECC Mechanism for GPGPUs Register File. - Xiaohui Wei 002; Hengshan Yue; Jingweijia Tan (DATE, 2020)

SERN: Modeling and Analyzing the Soft Error Reliability of Convolutional Neural Networks. - Liqi Ping; Jingweijia Tan; Kaige Yan (ACM Great Lakes Symposium on VLSI, 2020)

G-SEAP: Analyzing and characterizing soft-error aware approximation in GPGPUs. - Xiaohui Wei 002; Hengshan Yue; Shang Gao 005; Lina Li; Ruyu Zhang; Jingweijia Tan (Future Gener. Comput. Syst., 2020)

Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users. - Kaige Yan; Jingweijia Tan; Longjun Liu; Xingyao Zhang; Stanko R. Brankovic; Jinghong Chen; Xin Fu (ACM Trans. Embed. Comput. Syst., 2020)

Energy-Efficient GPU L2 Cache Design Using Instruction-Level Data Locality Similarity. - Jingweijia Tan; Kaige Yan; Shuaiwen Leon Song; Xin Fu (ACM Trans. Design Autom. Electr. Syst., 2020)

AERO: Towards Energy-Efficient Autonomous Flight in MAVs Using Approximate Execution. - Ben Li; Jingweijia Tan; Kaige Yan (ASAP, 2021)

G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs. - Hengshan Yue; Xiaohui Wei 002; Guangli Li; Jianpeng Zhao 001; Nan Jiang; Jingweijia Tan (SC, 2021)

MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU Architectures. - Jingweijia Tan; Keyu Chen; Kaige Yan (ICCD, 2022)

Eff-ECC: Protecting GPGPUs Register File With a Unified Energy-Efficient ECC Mechanism. - Hengshan Yue; Xiaohui Wei 002; Jingweijia Tan; Nan Jiang; Meikang Qiu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Towards Fine-Grained Online Adaptive Approximation Control for Dense SLAM on Embedded GPUs. - Tiancong Bu; Kaige Yan; Jingweijia Tan (ACM Trans. Design Autom. Electr. Syst., 2022)

Saca-FI: A microarchitecture-level fault injection framework for reliability analysis of systolic array based CNN accelerator. - Jingweijia Tan; Qixiang Wang; Kaige Yan; Xiaohui Wei 002; Xin Fu (Future Gener. Comput. Syst., 2023)

Architectural Design Model Guided On-Demand Power Management of Energy-Efficient GPGPU for SLAM. - Kaige Yan; Zhujun Ma; Caiwei Li; Xin Fu; Jingweijia Tan (J. Circuits Syst. Comput., 2023)

Improving the Performance of CNN Accelerator Architecture under the Impact of Process Variations. - Jingweijia Tan; Weiren Wang; Maodi Ma; Xiaohui Wei 002; Kaige Yan (ACM Trans. Design Autom. Electr. Syst., 2023)

Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability Factors of CNN Accelerators. - Jingweijia Tan; Liqi Ping; Qixiang Wang; Kaige Yan (IEEE Trans. Computers, 2023)

MCM-GPU Voltage Noise Characterization and Architecture-Level Mitigation. - Jingweijia Tan; Keyu Chen; Weiren Wang; Kaige Yan; Xiaohui Wei 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

HSAS: Efficient task scheduling for large scale heterogeneous systolic array accelerator cluster. - Kaige Yan; Yanshuang Song; Tao Liu; Jingweijia Tan; Xiaohui Wei 002; Xin Fu (Future Gener. Comput. Syst., 2024)

Efficient one-shot Neural Architecture Search with progressive choice freezing evolutionary search. - Chen Zhang; Qiyu Wan; Lening Wang; Yu Wen 003; Mingsong Chen 001; Jingweijia Tan; Kaige Yan; Xin Fu (Neurocomputing, 2024)

ReIPE: Recycling Idle PEs in CNN Accelerator for Vulnerable Filters Soft-Error Detection. - Xiaohui Wei 002; Chenyang Wang; Hengshan Yue; Jingweijia Tan; Zeyu Guan; Nan Jiang; Xinyang Zheng; Jianpeng Zhao 001; Meikang Qiu (ACM Trans. Archit. Code Optim., 2024)

A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs. - Dekang Zhang; Dan Niu; Zhou Jin 001; Yichao Dong; Jingweijia Tan; Changyin Sun 001 (DATE, 2025)

Evaluating GPU's Instruction-Level Error Characteristics Under Low Supply Voltages. - Jingweijia Tan; Jiashuo Wang; Kaige Yan; Xiaohui Wei 002; Xin Fu (IEEE Trans. Computers, 2025)

GEREM: Fast and Precise Error Resilience Assessment for GPU Microarchitectures. - Jingweijia Tan; Xurui Li; An Zhong; Kaige Yan; Xiaohui Wei 002; Guanpeng Li (IEEE Trans. Parallel Distributed Syst., 2025)

ACOPT: Adaptive continuity-aware address translation for performance optimization of MCM-GPU architectures. - Jingweijia Tan; Zhanyuntian Li; Weiren Wang; Jiashuo Wang; Kaige Yan; Xiaohui Wei (Future Gener. Comput. Syst., 2026)