Solutions for 3 Security Problems and its Application in SOA-FCA Service Components Based SDO. - Nannan Wang; Zhiyi Fang; Kaige Yan; Yu Tang; Xingchao An (Int. J. Commun. Netw. Syst. Sci., 2010)

Energy-efficient cache design in emerging mobile platforms: the implications and optimizations. - Kaige Yan; Xin Fu (DATE, 2015)

Characterizing, modeling, and improving the QoE of mobile devices with low battery level. - Kaige Yan; Xingyao Zhang; Xin Fu (MICRO, 2015)

Combating the Reliability Challenge of GPU Register File at Low Supply Voltage. - Jingweijia Tan; Shuaiwen Leon Song; Kaige Yan; Xin Fu; Andrès Márquez; 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 Energy-Efficient Cache Design in Emerging Mobile Platforms. - Kaige Yan; Lu Peng 001; Mingsong Chen 001; Xin Fu (ACM Trans. Design Autom. Electr. Syst., 2017)

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

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)

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)

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)

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

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)