A Virtual Sample Generation Approach for Speculative Multithreading Using Feature Sets and Abstract Syntax Trees. - Bin Liu 023; Yingliang Zhao; Meirong Li; Yanzhao Liu; Boqin Feng (PDCAT, 2012)

Similarity Assessment of Program Samples Based on Theory of Fuzzy. - Yuxiang Li; Yinliang Zhao; Bin Liu 023 (CSE, 2013)

Similar Samples Cleaning in Speculative Multithreading. - Yuxiang Li; Yinliang Zhao; Bin Liu 023 (ICA3PP (2), 2014)

A thread partitioning approach for speculative multithreading. - Bin Liu 023; Yingliang Zhao; Yuxiang Li; Yanjun Sun; Boqin Feng (J. Supercomput., 2014)

Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm. - Yuxiang Li; Yinliang Zhao; Bin Liu 023; Shuo Ji (Frontiers Inf. Technol. Electron. Eng., 2015)

Toward Emotion-Aware Computing: A Loop Selection Approach Based on Machine Learning for Speculative Multithreading. - Bin Liu 023; Jinrong He; Yaojun Geng; Lvwen Huang; Shuqin Li (IEEE Access, 2017)

Qinling: A Parametric Model in Speculative Multithreading. - Yuxiang Li; Yinliang Zhao; Bin Liu 023 (Symmetry, 2017)

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks. - Bin Liu 023; Yun Zhang; Dongjian He; Yuxiang Li (Symmetry, 2018)

Orthogonal Graph Regularized Nonnegative Matrix Factorization for Image Clustering. - Jinrong He; Dongjian He; Bin Liu 023; Wenfa Wang (Big Data (CCF), 2019)

A Parallel Retinex Image Enhancement Algorithm Based on OpenMP. - Shixiong Cheng; Bin Liu 023; Dongjian He; Jinrong He; Yuancheng Li; Yanning Du (NPC, 2019)

A Spark-Based Parallel Fuzzy $c$ -Means Segmentation Algorithm for Agricultural Image Big Data. - Bin Liu 023; Songrui He; Dongjian He; Yin Zhang 002; Mohsen Guizani (IEEE Access, 2019)

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks. - Jian Peng 002; Yuehan Chen; Bin Liu 023; Dongjian He; Chunquan Liang (IEEE Access, 2019)

Parallel Fast Pencil Drawing Generation Algorithm Based on GPU. - Jiyan Qiu; Bin Liu 023; Jinrong He; Chaoyang Liu; Yuancheng Li (IEEE Access, 2019)

Graph-dual Laplacian principal component analysis. - Jinrong He; Yingzhou Bi; Bin Liu 023; Zhigao Zeng (J. Ambient Intell. Humaniz. Comput., 2019)

Kiwifruit Leaf Disease Identification Using Improved Deep Convolutional Neural Networks. - Bin Liu 023; Zefeng Ding; Yun Zhang; Dongjian He; Jinrong He (COMPSAC, 2020)

A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification. - Bin Liu 023; Cheng Tan 012; Shuqin Li; Jinrong He; Hongyan Wang (IEEE Access, 2020)

Thread-Level Speculation Execution Model Based on LLVM Compiler. - Deshuo Zhao; Bin Liu 023 (CNIOT, 2021)

CGAN-IRB: A Novel Data Augmentation Method for Apple Leaf Diseases. - Xinbin Yuan; Cong Yu 016; Bin Liu 023; Henan Sun; Xianyu Zhu (COMPSAC, 2021)

Local search for weighted sum coloring problem. - Dangdang Niu; Bin Liu 023; Minghao Yin (Appl. Soft Comput., 2021)

MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks. - Henan Sun; Haowei Xu; Bin Liu 023; Dongjian He; Jinrong He; Hai-Tao Zhang; Nan Geng (Comput. Electron. Agric., 2021)

Plant taxonomy-guided path-based tree classifier for large-scale plant species identification. - Haixi Zhang; Guiqing He; Feng Li; Zhaoqiang Xia; Bin Liu 023; Jinye Peng (J. Electronic Imaging, 2021)

Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases. - Jinjiang Li; Xianyu Zhu; Runchang Jia; Bin Liu 023; Cong Yu 016 (COMPSAC, 2022)

Improving local search for the weighted sum coloring problem using the branch-and-bound algorithm. - Dangdang Niu; Bin Liu 023; Hongming Zhang 002; Minghao Yin (Knowl. Based Syst., 2022)

DAC-PPYOLOE+: A Lightweight Real-time Detection Model for Early Apple Leaf Pests and Diseases under Complex Background. - Bin Liu 023; Xiaoyu Bai; Xinyue Su; Chenxi Song; Zhuohan Yao; Xing Wei; Haixi Zhang (COMPSAC, 2023)

VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection. - Liangliang Tian; Haixi Zhang; Bin Liu 023; Jiaqi Zhang; Nannan Duan; Aihong Yuan; Yingqiu Huo (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification. - Xianyu Zhu; Jinjiang Li; Runchang Jia; Bin Liu 023; Zhuohan Yao; Aihong Yuan; Yingqiu Huo; Haixi Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A new local search algorithm with greedy crossover restart for the dominating tree problem. - Dangdang Niu; Bin Liu 023; Minghao Yin; Yupeng Zhou (Expert Syst. Appl., 2023)

MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection. - Bin Liu 023; Xulei Huang; Leiming Sun; Xing Wei; Zeyu Ji; Haixi Zhang (Comput. Electron. Agric., 2024)

MCAT-UNet: Convolutional and Cross-Shaped Window Attention Enhanced UNet for Efficient High-Resolution Remote Sensing Image Segmentation. - Tao Wang 113; Chao Xu 007; Bin Liu 023; Guang Yang 033; Erlei Zhang; Dangdang Niu; Hongming Zhang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Incremental RPN: Hierarchical Region Proposal Network for Apple Leaf Disease Detection in Natural Environments. - Haixi Zhang; Jiahui Yang; Chenyan Lv; Xing Wei; Haibin Han; Bin Liu 023 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

LBB: load-balanced batching for efficient distributed learning on heterogeneous GPU cluster. - Feixiang Yao; Zhonghao Zhang; Zeyu Ji; Bin Liu 023; Haoyuan Gao (J. Supercomput., 2024)

MDS-Net: An Image-Text Enhanced Multimodal Dual-Branch Siamese Network for Remote Sensing Change Detection. - Tao Wang 113; Tiecheng Bai; Chao Xu 007; Erlei Zhang; Bin Liu 023; Xining Zhao; Hongming Zhang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection. - Tao Wang 113; Tiecheng Bai; Chao Xu 007; Bin Liu 023; Erlei Zhang; Jiyun Huang; Hongming Zhang 002 (CoRR, 2025)

GroPipe: A Grouped Pipeline Hybrid Parallel Method for Accelerating DCNNs Training. - Bin Liu 023; Yongyao Ma; Zijian Hu; Zeyu Ji; Zhenli He; Keqin Li 001 (IEEE Trans. Computers, 2025)