A self-adaptive algorithm to defeat text-based CAPTCHA. - Ye Wang 006; Mi Lu (ICIT, 2016)

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA. - Ye Wang 006; Yuanjiang Huang; Wu Zheng; Zhi Zhou 006; Debin Liu; Mi Lu (ICIT, 2017)

An optimized system to solve text-based CAPTCHA. - Ye Wang 006; Mi Lu (CoRR, 2018)

An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. - Ye Wang 006; Han Wang; Xinxiang Zhang; Theodora Chaspari; Yoonsuck Choe; Mi Lu (ICASSP, 2019)

A New Method for Sparse Signals Reconstruction in Fusion Center with Incomplete Measurements. - Shan Jin; Jiafan Wang 002; Ye Wang 006; Zhengguang Zheng (ICC, 2019)

English Out-of-Vocabulary Lexical Evaluation Task. - Han Wang; Ye Wang 006; Xinxiang Zhang; Mi Lu; Yoonsuck Choe; Jingjing Cao (INDIN, 2019)

Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network. - Xinxiang Zhang; Ye Wang 006; Han Wang; Yue Zhang 004; Hao Wu 059; Mingbo Zhao (INDIN, 2019)

Attention augmentation with multi-residual in bidirectional LSTM. - Ye Wang 006; Xinxiang Zhang; Mi Lu; Han Wang; Yoonsuck Choe (Neurocomputing, 2020)

Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models. - Qianmengke Zhao; Ye Wang 006; Qun Liu 005 (CoRR, 2021)

A Comparative Review of Recent Few-Shot Object Detection Algorithms. - Jiaxu Leng; Taiyue Chen; Xinbo Gao 001; Yongtao Yu; Ye Wang 006; Feng Gao 005; Yue Wang (CoRR, 2021)

Realize your surroundings: Exploiting context information for small object detection. - Jiaxu Leng; Yihui Ren 002; Wen Jiang; Xiaoding Sun; Ye Wang 006 (Neurocomputing, 2021)

Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning. - Li Liu 030; Chongyang Wang; Youmin Zhang 006; Ye Wang 006; Qun Liu 005; Guoyin Wang 001 (DMBD (1), 2022)

Context-aware multi-feature fusion for open-domain dialogue generation. - Jingbo Liao; Hong Yu 007; Qi Cheng; Ye Wang 006 (ICIT, 2022)

RCNet: Recurrent Collaboration Network Guided by Facial Priors for Face Super-Resolution. - Jiaxu Leng; Ye Wang 006 (ICME, 2022)

Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making. - Xiaoxia Zhang; Lu Chen; Ye Wang 006; Guoyin Wang 001 (Cogn. Comput., 2022)

Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation. - Ye Wang 006; Jingbo Liao; Hong Yu 007; Guoyin Wang 001; Xiaoxia Zhang; Li Liu 030 (CoRR, 2022)

LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks. - Li Liu 030; Yong Du; Ye Wang 006; William K. Cheung 001; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (Knowl. Based Syst., 2022)

Semantic-aware conditional variational autoencoder for one-to-many dialogue generation. - Ye Wang 006; Jingbo Liao; Hong Yu 007; Jiaxu Leng (Neural Comput. Appl., 2022)

Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio. - Zhijie Zhang; Li Liu 030; Baomin Wang; Haobo Tan; Changxing Lan; Ye Wang 006; Pak-Wai Chan (Remote. Sens., 2022)

SFDA: Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. - Qingyan Wang; Ye Wang 006; Dajiang Lei (NCAA (2), 2023)

Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models. - Zhuoyi Yu; Ye Wang 006; Dajiang Lei (NCAA (2), 2023)

Adaptive Multi-granularity Aggregation Transformer for Image Captioning. - Daitianxia Li; Ye Wang 006; Qun Liu 005 (IJCRS, 2023)

Where to look: Multi-granularity occlusion aware for video person re-identification. - Jiaxu Leng; Haitao Wang; Xinbo Gao 001; Yan Zhang 108; Ye Wang 006; Mengjingcheng Mo (Neurocomputing, 2023)

Interpreting open-domain dialogue generation by disentangling latent feature representations. - Ye Wang 006; Jingbo Liao; Hong Yu 007; Guoyin Wang 001; Xiaoxia Zhang; Li Liu 030 (Neural Comput. Appl., 2023)

Stable local interpretable model-agnostic explanations based on a variational autoencoder. - Xu Xiang; Hong Yu 007; Ye Wang 006; Guoyin Wang 001 (Appl. Intell., 2023)

A Novel Class Incremental Learning Method via Multi-granularity Balance Inspired by Human Granular Cognition Mechanism. - Yan Xian; Hong Yu 007; Ye Wang 006; Guoyin Wang 001 (BI (1), 2024)

Explicit Facial Attribute Disentanglement for Hierarchical Relationships Detection. - Pan Sun; Hong Yu 007; Jiang Xie 002; Jiaxu Leng; Ye Wang 006 (NCAA (3), 2024)

Lung Cancer Risk Prediction Model Trained with Multi-source Data. - Shijie Sun; Hanyue Liu; Ye Wang 006; Hong Yu 007 (IJCRS (2), 2024)

Steering Angle Prediction Based on Travelable Regions and Bio-Inspired Neural Circuit Policy. - Yali Wang; Ye Wang 006; Hong Yu 007; Ke Liu 008 (IJCRS (3), 2024)

KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing. - Ye Wang 006; Qianmengke Zhao; Qun Liu 005; Guoyin Wang 001; Hong Yu 007; Li Liu 030; Jiaxu Leng (IEEE Trans. Consumer Electron., 2024)

The interactive fusion of characters and lexical information for Chinese named entity recognition. - Ye Wang 006; Zheng Wang; Hong Yu 007; Guoyin Wang 001; Dajiang Lei (Artif. Intell. Rev., 2024)

Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network. - Kangjia He; Li Liu 030; Youmin Zhang 006; Ye Wang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Artif. Intell., 2024)

Relation correlations-aware graph convolutional network with text-enhanced for knowledge graph embedding. - Hong Yu 007; Jinxuan Tang; Zhihan Peng; Ye Wang 006 (Int. J. Mach. Learn. Cybern., 2024)

Self-supervised modal optimization transformer for image captioning. - Ye Wang 006; Daitianxia Li; Qun Liu 005; Li Liu 030; Guoyin Wang 001 (Neural Comput. Appl., 2024)

One-shot knowledge graph completion based on disentangled representation learning. - Youmin Zhang 006; Lei Sun; Ye Wang 006; Qun Liu 005; Li Liu 030 (Neural Comput. Appl., 2024)

Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection. - Xuyang Zhou; Ye Wang 006; Fei Tao 003; Hong Yu 007; Qun Liu 005 (Inf. Process. Manag., 2025)

Dynamic Emotion-Dependent Network With Relational Subgraph Interaction for Multimodal Emotion Recognition. - Ye Wang 006; Wei Zhang; Ke Liu 008; Wei Wu 022; Feng Hu 001; Hong Yu 007; Guoyin Wang 001 (IEEE Trans. Affect. Comput., 2025)

Exploring multi-granularity balance strategy for class incremental learning via three-way granular computing. - Yan Xian; Hong Yu 007; Ye Wang 006; Guoyin Wang 001 (Brain Informatics, 2025)