Topology-Aware Task Allocation for Distributed Stream Processing with Latency Guarantee. - Xiaohui Wei 002; Xun Wei; Hongliang Li 003; Yuan Zhuang 003; Hengshan Yue (ICAIP, 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)

An RNN-Based Delay-Guaranteed Monitoring Framework in Underwater Wireless Sensor Networks. - Xiaohui Wei 002; Yuanyuan Liu 007; Shang Gao 005; Xingwang Wang; Hengshan Yue (IEEE Access, 2019)

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

A Novel Clustering-Based Filter Pruning Method for Efficient Deep Neural Networks. - Xiaohui Wei 002; Xiaoxian Shen; Changbao Zhou; Hengshan Yue (ICA3PP (2), 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)

Detecting SDCs in GPGPUs Through an Efficient Instruction Duplication Mechanism. - Xiaohui Wei 002; Nan Jiang; Xiaonan Wang; Hengshan Yue (KSEM, 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)

SDLSC-TA: Subarea Division Learning Based Task Allocation in Sparse Mobile Crowdsensing. - Xiaohui Wei 002; Zijian Li 007; Yuanyuan Liu 007; Shang Gao 005; Hengshan Yue (IEEE Trans. Emerg. Top. Comput., 2021)

MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data. - Xiaohui Wei 002; Mingkai Hou; Chenghao Ren; Xiang Li; Hengshan Yue (KSEM (2), 2022)

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. - Guangli Li; Xiu Ma; Xueying Wang 003; Hengshan Yue; Jiansong Li; Lei Liu 030; Xiaobing Feng 002; Jingling Xue (J. Syst. Archit., 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)

Defending T-BFA in DNNs Efficiently via Random Security-Sensitive Weights Switching. - Xiaohui Wei 002; Yumin Yan; Xiaonan Wang; Yi Hu; Hengshan Yue (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Detecting SDCs in GPGPUs Through Efficient Partial Thread Redundancy. - Xiaohui Wei 002; Yan Wu; Nan Jiang; Hengshan Yue (ICA3PP (7), 2023)

GLAM-SERP: Building a Graph Learning-Assisted Model for Soft Error Resilience Prediction in GPGPUs. - Xiaohui Wei 002; Jianpeng Zhao 001; Nan Jiang; Hengshan Yue (ICA3PP (4), 2023)

CFPA: Cognitive Federated Partial Adaptation for Effective Personalization. - Xiaohui Wei 002; Didi Jiao; Shiyu Tong; Zijian Li 007; Chenghao Ren; Hengshan Yue (MSN, 2023)

An Approximate Fault-Tolerance Design for a Convolutional Neural Network Accelerator. - Wenda Wei; Chenyang Wang; Xinyang Zheng; Hengshan Yue (IT Prof., 2023)

FASS-pruner: customizing a fine-grained CNN accelerator-aware pruning framework via intra-filter splitting and inter-filter shuffling. - Xiaohui Wei 002; Xinyang Zheng; Chenyang Wang; Guangli Li; Hengshan Yue (CCF Trans. High Perform. Comput., 2023)

TC-SEPM: Characterizing soft error resilience of CNNs on Tensor Cores from program and microarchitecture perspectives. - Xiaohui Wei 002; Changbao Zhou; Hengshan Yue; Joey Tianyi Zhou (J. Syst. Archit., 2023)

Evaluating the Soft Error Resilience of Graph Applications on GPGPUs. - Xiaohui Wei 002; Mengting Zhou; Nan Jiang; Hengshan Yue (BigDataSecurity, 2024)

PGSampler: Accelerating GPU-Based Graph Sampling in GNN Systems via Workload Fusion. - Xiaohui Wei 002; Weikai Tang; Hao Qi 004; Hengshan Yue (CLUSTER, 2024)

HAp-FT: A Hybrid Approximate Fault Tolerance Framework for DNN Accelerator. - Xiaohui Wei 002; Chenyang Wang; Zeyu Guan; Fengyi Li; Hengshan Yue (ICCD, 2024)

RCW-Pruner: Row-Column Wise Pruning Framework on Systolic Array. - Xiaohui Wei 002; Fengyi Li; Chenyang Wang; Xinyang Zheng; Shiyu Tong; Xin Yuan; Hengshan Yue; Qi Wu (HPSC, 2024)

HPC-Crash: Characterizing Crash-Proneness of HPC Programs from Various Perspectives. - Xiaohui Wei 002; Shiyu Tong; Zhongao Sun; Fengyi Li; Xiang Li; Hengshan Yue (HPSC, 2024)

EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices. - Xiaohui Wei 002; Guanhua Chen 003; Chen Yang; Hairui Zhao; Chenyang Wang; Hengshan Yue (IJCNN, 2024)

Improving INT Inference Resilience of CNNs by Vulnerability-Aware Mixed-Precision Quantization. - Xiaohui Wei 002; Pei Liu; Chenyang Wang; Zeyu Guan; Qi Wu; Hengshan Yue (ISPA, 2024)

CraftRGP: A Comprehensive Reliability Analysis Framework Towards ReRAM-Based Graph Processing. - Xiaohui Wei 002; Jiaguo Deng; Xiaonan Wang; Zongdian Li; Nan Jiang; Hengshan Yue (ITC-Asia, 2024)

DUAL-C: Building a "soft error efficient" on-the-fly compression mechanism for raw video data at edge devices. - Xiaohui Wei 002; Xiaonan Wang; Hengshan Yue; Nan Jiang; Jianpeng Zhao 001; Meikang Qiu (Future Gener. Comput. Syst., 2024)

ALERT: A lightweight defense mechanism for enhancing DNN robustness against T-BFA. - Xiaohui Wei 002; Xiaonan Wang; Yumin Yan; Nan Jiang; Hengshan Yue (J. Syst. Archit., 2024)

SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors. - Changbao Zhou; Jiawei Du; Ming Yan 007; Hengshan Yue; Xiaohui Wei 002; Joey Tianyi Zhou (J. Syst. Archit., 2024)

ApproxDup: Developing an Approximate Instruction Duplication Mechanism for Efficient SDC Detection in GPGPUs. - Xiaohui Wei 002; Nan Jiang; Hengshan Yue; Xiaonan Wang; Jianpeng Zhao 001; Guangli Li; Meikang Qiu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning. - Zijian Li 007; Zihan Chen 001; Xiaohui Wei 002; Shang Gao 005; Hengshan Yue; Zhewen Xu; Tony Q. S. Quek (IEEE Trans. Mob. Comput., 2024)

OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. - Hao Qi 004; Kang Luo; Ligang He; Yu Zhang 027; Minzhi Cai; Jingxin Dai; Bingsheng He; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003; Hengshan Yue; Hui Yu; et al. (EuroSys, 2025)

GraphFT: A Lightweight Fault-tolerant Framework for Iterative Graph Processing. - Xiaohui Wei 002; Mengting Zhou; Nan Jiang; Xiang Li; Qi Wu; Hengshan Yue (WASA (3), 2025)

ResCheckpointer: Building Program Error Resilience-Aware Checkpointing Mechanism for HPC Systems. - Xiaohui Wei 002; Shiyu Tong; Zhongao Sun; Xiang Li; Hengshan Yue (J. Comput. Sci. Technol., 2025)

Harnessing dynamic graph differential operators for efficient data-driven wind prediction. - Xiaohui Wei 002; Zhewen Xu; Hongliang Li 003; Jieyun Hao; Hengshan Yue; Changzheng Liu (GeoInformatica, 2025)