A double thresholding method for cancer stem cell detection. - Jinwei Xu; Tuan D. Pham; Xiaobo Zhou 001 (ISPA, 2011)

Robust Impulse-Noise Filtering for Biomedical Images Using Numerical Interpolation. - Jinwei Xu; Tuan D. Pham (ICIAR (2), 2012)

FTrack: Infrastructure-free floor localization via mobile phone sensing. - Haibo Ye; Tao Gu 001; Xiaorui Zhu; Jinwei Xu; XianPing Tao; Jian Lu 001; Ning Jin (PerCom, 2012)

Personalized identification of abdominal wall hernia meshes on computed tomography. - Tuan D. Pham; Dinh T. P. Le; Jinwei Xu; Duc T. Nguyen; Robert G. Martindale; Clifford W. Deveney (Comput. Methods Programs Biomed., 2014)

A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module. - Jinwei Xu; Jiankun Hu; Xiuping Jia (CoRR, 2014)

A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model. - Jinwei Xu; Jiankun Hu; Xiuping Jia (CoRR, 2014)

Multi-constrained Orientation Field Modeling and Its Application for Fingerprint Indexing. - Jinwei Xu; Jiankun Hu (NSS, 2015)

A Multistaged Automatic Restoration of Noisy Microscopy Cell Images. - Jinwei Xu; Jiankun Hu; Xiuping Jia (IEEE J. Biomed. Health Informatics, 2015)

Image Denoising and Its Applications in Biomedical and Biometric Images. - Jinwei Xu (2015)

Automatic code generation of convolutional neural networks in FPGA implementation. - Zhiqiang Liu; Yong Dou; Jingfei Jiang; Jinwei Xu (FPT, 2016)

Direct Feature Point Correspondence Discovery for Multiview Images: An Alternative Solution When SIFT-Based Matching Fails. - Jinwei Xu; Jiankun Hu (TRIDENTCOM, 2016)

Coarse-Grained Architecture for Fingerprint Matching. - Jinwei Xu; Jingfei Jiang; Yong Dou; Xiaolong Shen; Zhiqiang Liu (ACM Trans. Reconfigurable Technol. Syst., 2016)

A Super-Vector Deep Learning Coprocessor with High Performance-Power Ratio. - Jingfei Jiang; Zhiqiang Liu; Jinwei Xu; Rongdong Hu (ACIIDS (Extended Posters), 2017)

Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks. - Zhiqiang Liu; Yong Dou; Jingfei Jiang; Jinwei Xu; Shijie Li; Yongmei Zhou; Yingnan Xu (ACM Trans. Reconfigurable Technol. Syst., 2017)

mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices. - Shijie Li; Yong Dou; Jinwei Xu; Qiang Wang 006; Xin Niu 002 (COMPSAC (1), 2018)

A target image-oriented dictionary learning-based method for fully automated latent fingerprint forensic. - Jinwei Xu; Jiankun Hu; Xiuping Jia (Comput. Intell., 2018)

High performance robust audio event recognition system based on FPGA platform. - Jinwei Xu; Zhiqiang Liu; Jingfei Jiang; Yong Dou (Cogn. Syst. Res., 2018)

CaFPGA: An automatic generation model for CNN accelerator. - Jinwei Xu; Zhiqiang Liu; Jingfei Jiang; Yong Dou; Shijie Li (Microprocess. Microsystems, 2018)

RF Aerially Charging Scheduling for UAV Fleet : A Q-Learning Approach. - Jinwei Xu; Kun Zhu 001; Ran Wang 004 (MSN, 2019)

GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks. - Shijie Li; Yong Dou; Jinwei Xu; Ke Yang 004; Rongchun Li (IEEE Access, 2019)

A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. - Shijie Li; Xiaolong Shen; Yong Dou; Shi-Ce Ni; Jinwei Xu; Ke Yang 004; Qiang Wang 006; Xin Niu 002 (Comput. Intell. Neurosci., 2019)

Non-ideal Characteristics of Low-Cost Radio Transceivers in Wireless Sensor Networks. - Wei Liu 059; Jian Xie 005; Daqing Zheng; Jinwei Xu; Rong Luo; Shunren Hu (CWSN, 2020)

A Dynamic Mapping Model for General CNN Accelerator Based on FPGA. - Xiaoqiang Zhao; Jingfei Jiang; Zhe Han; Jinwei Xu; Zhiqiang Liu (NPC, 2020)

A Simplified Speaker Recognition System Based on FPGA Platform. - Jinwei Xu; Shijie Li; Jingfei Jiang; Yong Dou (IEEE Access, 2020)

RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. - Dong Wen 004; Jingfei Jiang; Jinwei Xu; Kang Wang; Tao Xiao; Yang Zhao 003; Yong Dou (ASAP, 2021)

Compressed LSTM using balanced sparsity. - Tao Xiao; Jingfei Jiang; Jinwei Xu; Dong Wen 004; Junhua Wang; Xuehui Chen (CBD, 2021)

Wavelet Neural Network Based Link Quality Prediction for Fluctuating Low Power Wireless Links. - Wei Liu 059; Jinwei Xu; Yu Xia 009; Ming Xu 016; Mao Jing; Shunren Hu; Daqing Huang (ICCCS, 2021)

Recurrent Neural Network Based Link Quality Prediction for Wireless Sensor Networks. - Ming Xu 016; Jinwei Xu; Yu Xia 009; Jian Xie 005; Wei Liu 059; Shunren Hu; Daqing Huang (ICCCS, 2021)

A high-throughput scalable BNN accelerator with fully pipelined architecture. - Zhe Han; Jingfei Jiang; Jinwei Xu; Peng Zhang 035; Xiaoqiang Zhao; Dong Wen 004; Yong Dou (CCF Trans. High Perform. Comput., 2021)

An energy-efficient convolutional neural network accelerator for speech classification based on FPGA and quantization. - Dong Wen 004; Jingfei Jiang; Yong Dou; Jinwei Xu; Tao Xiao (CCF Trans. High Perform. Comput., 2021)

Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning. - Shiyao Xu; Jingfei Jiang; Jinwei Xu; Chaorun Liu; Yuanhong He; Xiaohang Liu; Lei Gao (ICCD, 2022)

Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. - Xiaohang Liu; Jingfei Jiang; Jinwei Xu; Lei Gao (ICTAI, 2022)

Recurrent Neural Network Based Link Quality Prediction for Fluctuating Low Power Wireless Links. - Ming Xu 016; Wei Liu 059; Jinwei Xu; Yu Xia 009; Jing Mao; Cheng Xu; Shunren Hu; Daqing Huang (Sensors, 2022)

A low-latency LSTM accelerator using balanced sparsity based on FPGA. - Jingfei Jiang; Tao Xiao; Jinwei Xu; Dong Wen 004; Lei Gao; Yong Dou (Microprocess. Microsystems, 2022)

SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure. - Jinwei Xu; Jingfei Jiang; Shiyao Xu; Lei Gao (HPCC/DSS/SmartCity/DependSys, 2023)

DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method. - Xifu Qian; Jingfei Jiang; Jinwei Xu; Caili Gao; Qisheng Xu (ICMLC, 2023)

Coded Caching Scheme for Two-Dimensional Caching-Aided Ultra-Dense Networks. - Minquan Cheng; Jinwei Xu; Mingming Zhang 003; Youlong Wu (ISIT, 2023)

EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2023)

Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation. - Lanxin Yang; Bohan Liu; Junyu Jia; Junming Xue; Jinwei Xu; Alberto Bacchelli; He Zhang 001 (SANER, 2023)

Replication Package - EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (Zenodo, 2023)

Coded Caching Schemes for Two-Dimensional Caching-Aided Ultra-Dense Networks. - Minquan Cheng; Jinwei Xu; Mingming Zhang 003; Youlong Wu (IEEE Trans. Commun., 2023)

Mining Pull Requests to Detect Process Anomalies in Open Source Software Development. - Bohan Liu; He Zhang 001; Weigang Ma; Hongyu Kuang; Yi Yang; Jinwei Xu; Shan Gao; Jian Gao (ICSE, 2024)

Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion. - Shenghong Ma; Jinwei Xu; Jingfei Jiang; Yaohua Wang; Dongsheng Li 001 (ISPA, 2024)

GPP: A Graph-Powered Prioritizer for Code Review Requests. - Lanxin Yang; Jinwei Xu; He Zhang 001; Fanghao Wu; Jun Lyu; Yue Li; Alberto Bacchelli (ASE, 2024)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhangm; Haifeng Shen; He Zhang 001 (CoRR, 2024)

Investigating Efficacy of Perplexity in Detecting LLM-Generated Code. - Jinwei Xu; He Zhang 001; Yanjin Yang; Zeru Cheng; Jun Lyu; Bohan Liu; Xin Zhou 016; Lanxin Yang; Alberto Bacchelli; Yin Kia Chiam; Thiam Kian Chiew (CoRR, 2024)

Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator. - Shiyao Xu; Jingfei Jiang; Jinwei Xu; Xifu Qian (ACM Trans. Reconfigurable Technol. Syst., 2024)

A blockchain-based and microservices-architected software composition analysis system. - Xin Zhou 016; Jinwei Xu; Xiaokang Li; Lingli Cao; Lingjie Li; Yanze Wang; Shanshan Li 002; Hui Liu (J. Softw. Evol. Process., 2024)

A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2024)

FQuant: Fast Quantization with Adaptive Resolution via the Clustering Algorithm. - Linagwei Li; Jingfei Jiang; Jinwei Xu; Shunan Zhou; Minghua Zhu (ICIC (21), 2025)

DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhang; Haifeng Shen; He Zhang 001 (J. Syst. Softw., 2025)

SAPFIS: a parallel fuzzy inference system for air combat situation assessment. - Lei Gao; Jingfei Jiang; Jinwei Xu; Weijia Wang; Pengbo Wu (J. Supercomput., 2025)

Prioritizing code review requests to improve review efficiency: a simulation study. - Lanxin Yang; Bohan Liu; Junyu Jia; Jinwei Xu; Junming Xue; He Zhang 001; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Research and application of smart insole assisted gait recognition technology. - Yan Yuan; Jinwei Xu; Fansen Wei; Jingsong Mu; Pin Chen; Yong Wang (J. Supercomput., 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2025)