Dynamic Stripe Management Mechanism in Distributed File Systems. - Jianwei Liao 001; Guoqiang Xiao 001; Xiaoyan Liu; Lingyu Zhu 005 (NPC, 2014)

Adaptive Wear-Leveling in Flash-Based Memory. - Jianwei Liao 001; Fengxiang Zhang; Li Li 006; Guoqiang Xiao 001 (IEEE Comput. Archit. Lett., 2015)

Algorithms for comparison in residue number systems. - Hanshen Xiao; Yu Ye 001; Guoqiang Xiao 001; Qin Kang (APSIPA, 2016)

A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization. - Yu Ye 001; Hanshen Xiao; Guoqiang Xiao 001 (IEEE Signal Process. Lett., 2016)

Dynamic Process Migration Based on Block Access Patterns Occurring in Storage Servers. - Jianwei Liao 001; François Trahay; Guoqiang Xiao 001 (ACM Trans. Archit. Code Optim., 2016)

Combination of Pyramid CNN Representation and Spatial-Temporal Representation for Facial Expression Recognition. - Shulin Xu; Nan Pu; Li Qian 001; Guoqiang Xiao 001 (CCCV (2), 2017)

Human Action Recognition in Videos of Realistic Scenes Based on Multi-scale CNN Feature. - Yongsheng Zhou; Nan Pu; Li Qian 001; Song Wu 003; Guoqiang Xiao 001 (PCM (2), 2017)

Robustness in Chinese Remainder Theorem. - Hanshen Xiao; Yufeng Huang; Yu Ye 001; Guoqiang Xiao 001 (CoRR, 2017)

Notes on CRT-based robust frequency estimation. - Hanshen Xiao; Guoqiang Xiao 001 (Signal Process., 2017)

Performing Initiative Data Prefetching in Distributed File Systems for Cloud Computing. - Jianwei Liao 001; François Trahay; Guoqiang Xiao 001; Li Li 006; Yutaka Ishikawa (IEEE Trans. Cloud Comput., 2017)

Adaptive Splitting-Based Block I/O Scheduling in Disk Storage. - Hui Li; Shanxiong Chen; Guoqiang Xiao 001; Xiaoning Peng; Jianwei Liao 001 (COMPSAC (1), 2018)

Multi-label Answer Aggregation Based on Joint Matrix Factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (ICDM, 2018)

Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss. - Zhenghao Li; Song Wu 003; Guoqiang Xiao 001 (ICPR, 2018)

Adaptive Process Migrations in Coupled Applications for Exchanging Data in Local File Cache. - Jianwei Liao 001; Zhigang Cai; François Trahay; Jun Zhou; Guoqiang Xiao 001 (ACM Trans. Auton. Adapt. Syst., 2018)

Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding. - Hanshen Xiao; Yufeng Huang; Yu Ye 001; Guoqiang Xiao 001 (IEEE Trans. Signal Process., 2018)

Multiple Independent Subspace Clusterings. - Xing Wang; Jun Wang 035; Carlotta Domeniconi; Guoxian Yu; Guoqiang Xiao 001; Maozu Guo 001 (AAAI, 2019)

An Attention-based Sequence Learning Model for Scene Text Recognition with Text Correction. - Fang Chen; Guoqiang Xiao 001; Conghui Chen (CSAI, 2019)

A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. - Guo Chen; Song Wu 003; Guoqiang Xiao 001 (ICONIP (3), 2019)

Multi-object Tracking with Conditional Random Field. - Xianming Zeng; Song Wu 003; Guoqiang Xiao 001 (ICONIP (5), 2019)

On Solving Ambiguity Resolution With Robust Chinese Remainder Theorem for Multiple Numbers. - Hanshen Xiao; Guoqiang Xiao 001 (IEEE Trans. Veh. Technol., 2019)

A Framework of Topology-Transparent Scheduling Based on Polynomial Ring. - Hanshen Xiao; Guoqiang Xiao 001 (IEEE Wirel. Commun. Lett., 2019)

Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data. - Yunfeng Wang; Xiaoqin Tang; Jingchuan Fan; Guoqiang Xiao 001 (BIBM, 2020)

Unsupervised Multiple Granularities Attention-Attribute Learning for Person Re-Identification. - Rui Yang; Song Wu 003; Guoqiang Xiao 001 (ISCAS, 2020)

CARNet: Context Attention Refine Network for Semantic Segmentation. - Guanghai Wang; Song Wu 003; Guoqiang Xiao 001 (IVSP, 2020)

Multi-label crowd consensus via joint matrix factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (Knowl. Inf. Syst., 2020)

Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images. - Linpeng Lv; Futong He; Jiahui Zhang; Liling Mao; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2021)

Cascade Attention Blend Residual Network For Single Image Super-Resolution. - Tianyu Chen; Guoqiang Xiao 001; Xiaoqin Tang; Xianfeng Han; Wenzhuo Ma; Xinye Gou (ICIP, 2021)

Two-Phase Feature Fusion Network For Visible-Infrared Person Re-Identification. - Yunzhou Cheng; Guoqiang Xiao 001; Xiaoqin Tang; Wenzhuo Ma; Xinye Gou (ICIP, 2021)

Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing. - Xinyi Li; Song Wu 003; Guoqiang Xiao 001 (ICONIP (1), 2021)

Cross-Modal Based Person Re-identification via Channel Exchange and Adversarial Learning. - Xiaohui Xu; Song Wu 003; Shan Liu; Guoqiang Xiao 001 (ICONIP (1), 2021)

PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification. - You Zhai; Xianfeng Han; Wenzhuo Ma; Xinye Gou; Guoqiang Xiao 001 (IJCNN, 2021)

Dual-Path Deep Supervision Network with Self-Attention for Visible-Infrared Person Re-Identification. - Yunzhou Cheng; Xinyi Li; Guoqiang Xiao 001; Wenzhuo Ma; Xinye Gou (ISCAS, 2021)

Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. - Xian-Feng Han; Zhang-Yue He; Jia Chen; Guo-Qiang Xiao 001 (CoRR, 2021)

Point Cloud Learning with Transformer. - Xian-Feng Han; Yu-Jia Kuang; Guo-Qiang Xiao 001 (CoRR, 2021)

On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem. - Hanshen Xiao; Yaowen Zhang; Guoqiang Xiao 001 (CoRR, 2021)

On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration. - Hanshen Xiao; Beining Zhou; Guoqiang Xiao 001 (CoRR, 2021)

3D face reconstruction and dense alignment with a new generated dataset. - Mingcheng Cai; Shuo Zhang; Guoqiang Xiao 001; Shoucheng Fan (Displays, 2021)

Wrapped ambiguity Gaussian mixed model with applications in sparse sampling based multiple parameter estimation. - Hanshen Xiao; Nan Du; Zhikang Wang; Guoqiang Xiao 001 (Signal Process., 2021)

MS-ROCANet: Multi-Scale Residual Orthogonal-Channel Attention Network for Scene Text Detection. - Jinpeng Liu; Song Wu 003; Dehong He; Guoqiang Xiao 001 (ICASSP, 2022)

Bi-Directional Normalization and Color Attention-Guided Generative Adversarial Network for Image Enhancement. - Shan Liu; Guoqiang Xiao 001; Xiaohui Xu; Song Wu 003 (ICASSP, 2022)

Cenet: Toward Concise and Efficient Lidar Semantic Segmentation for Autonomous Driving. - Hui-Xian Cheng; Xian-Feng Han; Guo-Qiang Xiao 001 (ICME, 2022)

Portrait Matting Network with Essential Feature Mining and Fusion. - Hang Jiang; Song Wu 003; Dehong He; Guoqiang Xiao 001 (ICONIP (6), 2022)

Adaptive Tiny Object Detection for Improving Pest Detection. - Renjie Huang; Yuting He; Guoqiang Xiao 001; Yangguang Shi; Yongqiang Zheng (ICPR, 2022)

Cross Transformer Network for Scale-Arbitrary Image Super-Resolution. - Dehong He; Song Wu 003; Jinpeng Liu; Guoqiang Xiao 001 (KSEM (2), 2022)

Natural Image Matting with Low-Level Feature Attention Guidance. - Hang Jiang; Song Wu 003; Dehong He; Guoqiang Xiao 001 (KSEM (3), 2022)

Learning to Generate Artistic Character Line Drawing. - Cheng-Yu Fang 001; Xian-Feng Han; Qi Zhong; Shi-Jie Sun 001; Guo-Qiang Xiao 001 (CoRR, 2022)

Channel exchange and adversarial learning guided cross-modal person re-identification. - Xiaohui Xu; Shan Liu; Nian Zhang; Guoqiang Xiao 001; Song Wu 003 (Knowl. Based Syst., 2022)

3CROSSNet: Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. - Xian-Feng Han; Zhang-Yue He; Jia Chen; Guo-Qiang Xiao 001 (IEEE Robotics Autom. Lett., 2022)

Weakly Supervised Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (IEEE Trans. Big Data, 2022)

Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data. - Wenlong Li; Chaohui Liu; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2023)

Enhancing Precision and Interpretability of CT Image Reconstruction via Self-supervised Adaptive Domain Transformation. - Xiaoqin Tang; Baiyin Huang; Guoqiang Xiao 001 (BIBM, 2023)

A Self-Attention Based Task-Adaptive Integration of Pre-trained Global and Local Classifiers for Few-Shot Classification. - Xiang Li; Renjie Huang; Guoqiang Xiao 001 (CSCWD, 2023)

Visible-Infrared Person Re-identification via Modality Augmentation and Center Constraints. - Qiang Chen; Guoqiang Xiao 001; Jiahao Wu (ICANN (3), 2023)

Scale-Adaptive Tiny Object Detection Enhanced by Across-Scale and Shape-Preserved Semantic Location. - Yuting He; Renjie Huang; Yangguang Shi; Guoqiang Xiao 001; Bin Yang; Yuqi Li (ICASSP, 2023)

Geometric Prior-Assisted Feature Presentation Enhancement for Object Detection in Aerial Images. - Renjie Huang; Ziruo Liu; Jichuan Chen; Yangguang Shi; Guoqiang Xiao 001 (ICIP, 2023)

Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images. - Renjie Huang; Yangguang Shi; Yuting He; Yongqiang Zheng; Guoqiang Xiao 001; Ziruo Liu (ICIP, 2023)

LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. - Pinjun Luo; Guoqiang Xiao 001; Xinbo Gao 001; Song Wu 003 (ICME, 2023)

BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-object Tracking. - Fuxiao He; Qiang Chen; Guoqiang Xiao 001 (ICONIP (14), 2023)

CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. - Jiahao Liu; Hui-Xian Cheng; Guoqiang Xiao 001; Xianfeng Han (IJCNN, 2023)

PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation. - Chuyu Wang; Xianfeng Han; Guoqiang Xiao 001 (IJCNN, 2023)

IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. - Zecheng Zhang; Xianfeng Han; Guoqiang Xiao 001 (IJCNN, 2023)

Sparse-View CT Reconstruction via Implicit Neural Intensity Functions. - Qiang Chen; Guoqiang Xiao 001 (KSEM (2), 2023)

An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking. - Fuxiao He; Guoqiang Xiao 001 (KSEM (2), 2023)

Central and Directional Multi-neck Knowledge Distillation. - Jichuan Chen; Ziruo Liu; Chao Wang; Bin Yang; Renjie Huang; Shunlai Xu; Guoqiang Xiao 001 (PRCV (7), 2023)

Deep Hough Transform for Gaussian Semantic Box-Lines Alignment. - Bin Yang; Jichuan Chen; Ziruo Liu; Chao Wang; Renjie Huang; Guoqiang Xiao 001; Shunlai Xu (PRCV (7), 2023)

Enhancing Interpretability in CT Reconstruction Using Tomographic Domain Transform with Self-supervision. - Baiyin Huang; Boheng Tan; Xiaoqin Tang; Guoqiang Xiao 001 (PRICAI (3), 2023)

Edge Preserving Implicit Surface Representation of Point Clouds. - Xiaogang Wang 005; Yuhang Cheng; Liang Wang 001; Jiangbo Lu; Kai Xu 004; Guoqiang Xiao 001 (CoRR, 2023)

An Efficient CRT Based Algorithm for Frequency Determination from Undersampled Real Waveform. - Yao-Wen Zhang; Xian-Feng Han; Guo-Qiang Xiao 001 (Sensors, 2023)

Dual Transformer for Point Cloud Analysis. - Xian-Feng Han; Yi-Fei Jin; Hui-Xian Cheng; Guoqiang Xiao 001 (IEEE Trans. Multim., 2023)

On the Foundation of Sparsity Constrained Sensing - Part I: Sampling Theory and Robust Remainder Problem. - Hanshen Xiao; Yaowen Zhang; Beining Zhou; Guoqiang Xiao 001 (IEEE Trans. Signal Process., 2023)

On the Foundation of Sparsity Constrained Sensing - Part II: Diophantine Sampling With Arbitrary Temporal and Spatial Sparsity. - Hanshen Xiao; Beining Zhou; Yaowen Zhang; Guoqiang Xiao 001 (IEEE Trans. Signal Process., 2023)

TransRVNet: LiDAR Semantic Segmentation With Transformer. - Hui-Xian Cheng; Xian-Feng Han; Guoqiang Xiao 001 (IEEE Trans. Intell. Transp. Syst., 2023)

3D point cloud descriptors: state-of-the-art. - Xian-Feng Han; Zhi-Ao Feng; Shi-Jie Sun 001; Guoqiang Xiao 001 (Artif. Intell. Rev., 2023)

Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping. - Xiaoqin Tang; Lingpeng Lv; Shima Javanmardi; Yunfeng Wang; Jingchuan Fan; Fons J. Verbeek; Guoqiang Xiao 001 (IEEE Trans. Medical Imaging, 2023)

LayoutDualGAN: Advancing Automated Drug Nanoparticle Phenotyping via Enhanced Pairwise Image-Mask Synthesis. - Chaohui Liu; Wenglong Li; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2024)

Arbitrary Style Transfer Based on Content Integrity and Style Consistency Enhancement. - Lu Kang; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICASSP, 2024)

Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. - Yijin Liu; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICASSP, 2024)

Language-Driven Open-Vocabulary 3D Semantic Segmentation with Knowledge Distillation. - Yuting Wu; Xian-Feng Han; Guoqiang Xiao 001 (ICASSP, 2024)

PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene. - Xian-Feng Han; Hui-Xian Cheng; Hang Jiang; Dehong He; Guoqiang Xiao 001 (ICRA, 2024)

Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism. - Yitong Xing; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICMR, 2024)

Causal Inference-based Few-Shot Class-Incremental Learning. - Weiwei Zhou; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICMR, 2024)

Global-to-Local Feature Mining Network for RGB-Infrared Person Re-Identification. - Qiang Chen; Fuxiao He; Guoqiang Xiao 001 (MMM (3), 2024)

TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification. - Qijun Li; Xiaoqin Tang; Jinsong Li; Xianping Yu; Guoqiang Xiao 001 (PRICAI (4), 2024)

Core-attributes enhanced generative adversarial networks for robust image enhancement. - Shan Liu; Guoqiang Xiao 001; Michael S. Lew; Xinbo Gao 001; Song Wu 003 (Eng. Appl. Artif. Intell., 2024)

Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification. - Song Wu 003; Shihao Shan; Guoqiang Xiao 001; Michael S. Lew; Xinbo Gao 001 (Eng. Appl. Artif. Intell., 2024)

Deep cross-modal hashing with multi-task latent space learning. - Song Wu 003; Xiang Yuan; Guoqiang Xiao 001; Michael S. Lew; Xinbo Gao 001 (Eng. Appl. Artif. Intell., 2024)

Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks. - Shan Liu; Shihao Shan; Guoqiang Xiao 001; Xinbo Gao 001; Song Wu 003 (Int. J. Multim. Inf. Retr., 2024)

Multi-knowledge-driven enhanced module for visible-infrared cross-modal person Re-identification. - Shihao Shan; Peixin Sun; Guoqiang Xiao 001; Song Wu 003 (Int. J. Multim. Inf. Retr., 2024)

Parametric Primitive Analysis of CAD Sketches With Vision Transformer. - Xiaogang Wang 005; Liang Wang 001; Hongyu Wu; Guoqiang Xiao 001; Kai Xu 004 (IEEE Trans. Ind. Informatics, 2024)

Advancing Paired Image-Mask Synthesis for Automated Nanoparticle Phenotyping. - Xiaoqin Tang; Chaohui Liu; Guoqiang Xiao 001 (ICASSP, 2025)

ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning. - Xiaoyu Du; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICMR, 2025)

Lifelong Visible-Infrared Person Re-Identification with Prompt Pool and Instance-level Prompt Generator. - Zhenxi Luo; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICMR, 2025)

Mask prior generation with language queries guided networks for referring image segmentation. - Jinhao Zhou; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (Comput. Vis. Image Underst., 2025)

Lifelong visible-infrared person re-identification via replay samples domain-modality-mix reconstruction and cross-domain cognitive network. - Xianyu Zhu; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (Comput. Vis. Image Underst., 2025)

Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification. - Song Wu 003; Shihao Shan; Guoqiang Xiao 001; Michael S. Lew; Xinbo Gao 001 (Expert Syst. Appl., 2025)

Infrared Small-Target Detection via Improved Density Peak Clustering and Gray-Level Contribution. - Lang Wu; Fan Fan 001; Jun Huang 008; Guo-Qiang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)