Research on quality performance conceptual design based on SPEA2+. - Zhe Wei; Yixiong Feng; Jianrong Tan; Junhao Wu; Dandan Yang; Jinlong Wang (Comput. Math. Appl., 2009)

Left ventricle motion estimation for cardiac cine MRI using graph matching. - Wei Guo; Xuan Yang; Junhao Wu; Adan Lin (BIBM, 2017)

Left ventricle segmentation by combining convolution neural network with active contour model and tensor voting in short-axis MRI. - Zewen Li; Adan Lin; Xuan Yang; Junhao Wu (BIBM, 2017)

Left Ventricle Motion Estimation in Cine MRI With Multilayer Iterative Deformable Graph Matching. - Zhengrui Zhang; Xuan Yang; Junhao Wu; Guoliang Chen 005 (IEEE Access, 2019)

A Low-cost Electromagnetic Docking Guidance System for Micro Autonomous Underwater Vehicles. - Shilin Peng; Jingbiao Liu; Junhao Wu; Chong Li; Benkun Liu; Wenyu Cai; Haibin Yu (Sensors, 2019)

A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration. - Junhao Wu; Xuan Yang; Zhengrui Zhang; Guoliang Chen 005; Rui Mao 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Injury analysis of vehicle-pedestrian collision based on orthogonal experiments. - Yuan Min; Fengxiang Xu; Junhao Wu; Xuefeng Zheng (Comput. Syst. Sci. Eng., 2020)

A fully convolutional network feature descriptor: Application to left ventricle motion estimation based on graph matching in short-axis MRI. - Junhao Wu; Ziyu Gan; Wei Guo; Xuan Yang; Adan Lin (Neurocomputing, 2020)

An MPQUIC-Based Frame-Granularity Transmission Mechanism for Adaptive Video Streaming. - Junhao Wu; Wang Yang; Lihuan Hui (GLOBECOM, 2023)

A fast global algorithm for singly linearly constrained separable binary quadratic program with partially identical parameters. - Cheng Lu 007; Junhao Wu; Zhibin Deng; Shaoze Li (Optim. Lett., 2023)

An efficient global algorithm for indefinite separable quadratic knapsack problems with box constraints. - Shaoze Li; Zhibin Deng; Cheng Lu 007; Junhao Wu; Jinyu Dai; Qiao Wang (Comput. Optim. Appl., 2023)

18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma. - Haoshu Zhong; Delong Huang; Junhao Wu; Xiaomin Chen; Yue Chen; Chunlan Huang (BMC Medical Imaging, 2023)

Handling Multi-Class Problem by Intuitionistic Fuzzy Twin Support Vector Machines Based on Relative Density Information. - Salim Rezvani; Junhao Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Geometry Compression Artifact Removal for V-PCC over a Wide Bitrate Range. - Jian Xiong 005; Junhao Wu; Wang Luo; Jiucheng Xie; Hao Gao 005 (ICASSP, 2024)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. - Zhaoxin Fan; Runmin Jiang; Junhao Wu; Xin Huang; Tianyang Wang; Heng Huang; Min Xu 009 (CoRR, 2024)

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data. - Xuefei Cui; Zhaocai Wang; Nannan Xu; Junhao Wu; Zhiyuan Yao (Environ. Model. Softw., 2024)

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion. - Zhaocai Wang; Nannan Xu; Xiaoguang Bao; Junhao Wu; Xuefei Cui (Environ. Model. Softw., 2024)

Economic Systems in the Metaverse: Basics, State of the Art, and Challenges. - Huawei Huang; Qinnan Zhang; Taotao Li; Qinglin Yang; Zhaokang Yin; Junhao Wu; Zehui Xiong; Jianming Zhu; Jiajing Wu; Zibin Zheng (ACM Comput. Surv., 2024)

Progressive Enhancement Dehazing for object detection in extreme weather. - Zhiying Li 003; Junhao Wu; Shuyuan Lin; Zheng Wang 013; Xiaobo Jin; Guanggang Geng; Feiran Huang; Jian Weng 001 (Eng. Appl. Artif. Intell., 2025)

Dissolved oxygen prediction in the Dianchi River basin with explainable artificial intelligence based on physical prior knowledge. - Junhao Wu; Xi Chen 004; Jinghan Dong; Nen Tan; Xiaoping Liu; Antonis Chatzipavlis; Philip L. H. Yu; Adonis Velegrakis; Yining Wang; Yonggui Huang; Heqin Cheng; Diankai Wang (Environ. Model. Softw., 2025)

Bitcoin Price Prediction Using Enhanced Transformer and Greed Index. - Hao Song; Junhao Wu; Yitao Li; Silu Mu; Xiaolei Qian; Shanqing Yu; Huan Zheng (IET Blockchain, 2025)

MOOO-RDQN: A deep reinforcement learning based method for multi-objective optimization of controller placement and traffic monitoring in SDN. - Jue Chen; Yurui Ma; Wenjing Lv; Xihe Qiu; Junhao Wu (J. Netw. Comput. Appl., 2025)

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection. - Junhao Wu; Yixin Yang; Chengxiang Jin; Silu Mu; Xiaolei Qian; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification. - Junhao Wu; Aboagye-Ntow Stephen; Chuyuan Wang; Gang Chen; Xin Huang (CoRR, 2025)

KBest: Efficient Vector Search on Kunpeng CPU. - Kaihao Ma; Meiling Wang; Senkevich Oleg; Zijian Li; Daihao Xue; Dmitriy Malyshev; Yangming Lv; Shihai Xiao; Xiao Yan; Radionov Alexander; Weidi Zeng; Yuanzhan Gao; et al. (CoRR, 2025)

Undress to Redress: A Training-Free Framework for Virtual Try-On. - Zhiying Li 003; Junhao Wu; Yeying Jin; Daiheng Gao; Yun Ji; Kaichuan Kong; Lei Yu; Hao Xu; Kai Chen; Bruce Gu; Nana Wang; Zhaoxin Fan (CoRR, 2025)