Extreme Maximum Margin Clustering. - Chen Zhang; Shixiong Xia; Bing Liu 016; Lei Zhang 029 (IEICE Trans. Inf. Syst., 2013)

Multiple Kernel Spectral Regression for Dimensionality Reduction. - Bing Liu 016; Shixiong Xia; Yong Zhou 003 (J. Appl. Math., 2013)

Deformed Kernel Based Extreme Learning Machine. - Chen Zhang; Xiong Shi Xia; Bing Liu 016 (J. Comput., 2013)

Unsupervised non-parametric kernel learning algorithm. - Bing Liu 016; Shixiong Xia; Yong Zhou 003 (Knowl. Based Syst., 2013)

A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning. - Shixiong Xia; Fanrong Meng; Bing Liu 016; Yong Zhou 003 (Cogn. Comput., 2015)

Extreme spectral regression for efficient regularized subspace learning. - Bing Liu 016; Shixiong Xia; Fanrong Meng; Yong Zhou 003 (Neurocomputing, 2015)

Semi-supervised extreme learning machine with manifold and pairwise constraints regularization. - Yong Zhou 003; Beizuo Liu; Shixiong Xia; Bing Liu 016 (Neurocomputing, 2015)

Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization. - Mingming Liu; Wei Sun; Bing Liu 016 (Knowl. Based Syst., 2015)

Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing. - Shuang Li 011; Bing Liu 016; Chen Zhang (Comput. Intell. Neurosci., 2016)

Manifold regularized extreme learning machine. - Bing Liu 016; Shixiong Xia; Fanrong Meng; Yong Zhou 003 (Neural Comput. Appl., 2016)

Semi-supervised low rank kernel learning algorithm via extreme learning machine. - Mingming Liu; Bing Liu 016; Chen Zhang; Weidong Wang; Wei Sun (Int. J. Mach. Learn. Cybern., 2017)

Embedded non-parametric kernel learning for kernel clustering. - Mingming Liu; Bing Liu 016; Chen Zhang; Wei Sun (Multidimens. Syst. Signal Process., 2017)

Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization. - Bing Liu 016; Yong Zhou 003; Wei Sun (ELM, 2018)

Relation classification via recurrent neural network with attention and tensor layers. - Runyan Zhang; Fanrong Meng; Yong Zhou 003; Bing Liu 016 (Big Data Min. Anal., 2018)

Spectral regression based marginal Fisher analysis dimensionality reduction algorithm. - Bing Liu 016; Yong Zhou 003; Zhanguo Xia; Peng Liu 013; Qiuyan Yan; Hui Xu (Neurocomputing, 2018)

A Siamese Pedestrian Alignment Network for Person Re-identification. - Yi Zheng; Yong Zhou 003; Jiaqi Zhao 001; Meng Jian; Rui Yao; Bing Liu 016; Xuning Liu (PRCV (1), 2019)

Remote sensing scene classification based on rotation-invariant feature learning and joint decision making. - Yong Zhou 003; Xuning Liu; Jiaqi Zhao 001; Ding Ma; Rui Yao; Bing Liu 016; Yi Zheng (EURASIP J. Image Video Process., 2019)

Saliency detection via double nuclear norm maximization and ensemble manifold regularization. - Bing Liu 016; Yong Zhou 003; Peng Liu 013; Wei Sun; Shuang Li 011; Xinqiu Fang (Knowl. Based Syst., 2019)

Siamese Convolutional Neural Networks for Remote Sensing Scene Classification. - Xuning Liu; Yong Zhou 003; Jiaqi Zhao 001; Rui Yao; Bing Liu 016; Yi Zheng (IEEE Geosci. Remote. Sens. Lett., 2019)

A survey of semi- and weakly supervised semantic segmentation of images. - Man Zhang 006; Yong Zhou 003; Jiaqi Zhao 001; Yiyun Man; Bing Liu 016; Rui Yao (Artif. Intell. Rev., 2020)

Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification. - Xuning Liu; Yong Zhou 003; Jiaqi Zhao 001; Rui Yao; Bing Liu 016; Ding Ma; Yi Zheng (Neurocomputing, 2020)

Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning. - Xiangqing Shen; Bing Liu 016; Yong Zhou 003; Jiaqi Zhao 001; Mingming Liu (Knowl. Based Syst., 2020)

Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest. - Peng Liu 013; Xuekui Wang; Liangfei Yin; Bing Liu 016 (Int. J. Mach. Learn. Cybern., 2020)

Character-level text classification via convolutional neural network and gated recurrent unit. - Bing Liu 016; Yong Zhou 003; Wei Sun (Int. J. Mach. Learn. Cybern., 2020)

Remote sensing image caption generation via transformer and reinforcement learning. - Xiangqing Shen; Bing Liu 016; Yong Zhou 003; Jiaqi Zhao 001 (Multim. Tools Appl., 2020)

Point cloud classification by dynamic graph CNN with adaptive feature fusion. - Rui Guo; Yong Zhou 003; Jiaqi Zhao 001; Yiyun Man; Minjie Liu; Rui Yao; Bing Liu 016 (IET Comput. Vis., 2021)

Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification. - Rui Guo; Yong Zhou 003; Jiaqi Zhao 001; Rui Yao; Bing Liu 016; Xunhui Zhang (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Shape robust Siamese network tracking based on weakly supervised learning. - Ding Ma; Yong Zhou 003; Rui Yao; Jiaqi Zhao 001; Bing Liu 016; Banji Gua (Int. J. Wavelets Multiresolution Inf. Process., 2021)

A siamese pedestrian alignment network for person re-identification. - Yi Zheng; Yong Zhou 003; Jiaqi Zhao 001; Meng Jian; Rui Yao; Bing Liu 016; Ying Chen 005 (Multim. Tools Appl., 2021)

Show, Deconfound and Tell: Image Captioning with Causal Inference. - Bing Liu 016; Dong Wang; Xu Yang 021; Yong Zhou 003; Rui Yao; Zhiwen Shao; Jiaqi Zhao 001 (CVPR, 2022)

BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation. - Qiankun Yu; Xuekui Wang; Dong Wang; Xu Chu; Bing Liu 016; Peng Liu 013 (PRCV (1), 2022)

Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement. - Xin He; Yong Zhou 003; Jiaqi Zhao 001; Man Zhang 006; Rui Yao; Bing Liu 016; Haichao Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image. - Jiaqi Wang; Bing Liu 016; Yong Zhou 003; Jiaqi Zhao 001; Shixiong Xia; Yuancan Yang; Man Zhang 006; Liu Ming Ming (IEEE Geosci. Remote. Sens. Lett., 2022)

Clustering Matters: Sphere Feature for Fully Unsupervised Person Re-identification. - Yi Zheng; Yong Zhou 003; Jiaqi Zhao 001; Ying Chen 005; Rui Yao; Bing Liu 016; Abdulmotaleb El-Saddik (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Facial action unit detection via hybrid relational reasoning. - Zhiwen Shao; Yong Zhou 003; Bing Liu 016; Hancheng Zhu; Wen-Liang Du; Jiaqi Zhao 001 (Vis. Comput., 2022)

TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. - Yuchen Su; Zhiwen Shao; Yong Zhou 003; Fanrong Meng; Hancheng Zhu; Bing Liu 016; Rui Yao (IEEE Trans. Multim., 2023)

Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning. - Man Zhang 006; Yong Zhou 003; Bing Liu 016; Jiaqi Zhao 001; Rui Yao; Zhiwen Shao; Hancheng Zhu (IEEE Trans. Multim., 2023)

Distilled Meta-learning for Multi-Class Incremental Learning. - Hao Liu 065; Zhaoyu Yan; Bing Liu 016; Jiaqi Zhao 001; Yong Zhou 003; Abdulmotaleb El-Saddik (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Incremental learning with neural networks for computer vision: a survey. - Hao Liu 065; Yong Zhou 003; Bing Liu 016; Jiaqi Zhao 001; Rui Yao; Zhiwen Shao (Artif. Intell. Rev., 2023)

Semi-supervised transformable architecture search for feature distillation. - Man Zhang 006; Yong Zhou 003; Bing Liu 016; Jiaqi Zhao 001; Rui Yao; Zhiwen Shao; Hancheng Zhu; Hao Chen (Pattern Anal. Appl., 2023)

Unsupervised RGB-T object tracking with attentional multi-modal feature fusion. - Shenglan Li; Rui Yao; Yong Zhou 003; Hancheng Zhu; Bing Liu 016; Jiaqi Zhao 001; Zhiwen Shao (Multim. Tools Appl., 2023)

Attention-guided Adversarial Attack for Video Object Segmentation. - Rui Yao; Ying Chen 005; Yong Zhou 003; Fuyuan Hu; Jiaqi Zhao 001; Bing Liu 016; Zhiwen Shao (ACM Trans. Intell. Syst. Technol., 2023)

Remote sensing image semantic segmentation via class-guided structural interaction and boundary perception. - Xin He; Yong Zhou 003; Bing Liu 016; Jiaqi Zhao 001; Rui Yao (Expert Syst. Appl., 2024)

Joint facial action unit recognition and self-supervised optical flow estimation. - Zhiwen Shao; Yong Zhou 003; Feiran Li; Hancheng Zhu; Bing Liu 016 (Pattern Recognit. Lett., 2024)

Efficient convolutional neural networks and network compression methods for object detection: a survey. - Yong Zhou 003; Lei Xia; Jiaqi Zhao 001; Rui Yao; Bing Liu 016 (Multim. Tools Appl., 2024)

Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning. - Jing Xu; Bing Liu 016; Yong Zhou 003; Mingming Liu; Rui Yao; Zhiwen Shao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss. - Ying Chen 005; Rui Yao; Yong Zhou 003; Jiaqi Zhao 001; Bing Liu 016; Abdulmotaleb El-Saddik (ACM Trans. Multim. Comput. Commun. Appl., 2024)

CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. - Zhiwen Shao; Yuchen Su; Yong Zhou 003; Fanrong Meng; Hancheng Zhu; Bing Liu 016; Rui Yao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Single image super-resolution via global aware external attention and multi-scale residual channel attention network. - Mingming Liu; Sui Li; Bing Liu 016; Yuxin Yang; Peng Liu 013; Chen Zhang (Int. J. Mach. Learn. Cybern., 2024)

Diverse Image Captioning via Panoptic Segmentation and Sequential Conditional Variational Transformer. - Bing Liu 016; Jinfu Lu; Mingming Liu; Hao Liu 065; Yong Zhou 003; Dongping Yang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Hierarchical Relation Learning for Few-Shot Semantic Segmentation in Remote Sensing Images. - Xin He; Yun Liu 011; Yong Zhou 003; Henghui Ding; Jiaqi Zhao 001; Bing Liu 016; Xudong Jiang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Adversarial Geometric Attacks for 3D Point Cloud Object Tracking. - Rui Yao; Anqi Zhang; Yong Zhou 003; Jiaqi Zhao 001; Bing Liu 016; Abdulmotaleb El-Saddik (IEEE Trans. Multim., 2025)

L2A: Learning Affinity From Attention for Weakly Supervised Continual Semantic Segmentation. - Hao Liu 065; Yong Zhou 003; Bing Liu 016; Ming Yan 007; Joey Tianyi Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)

Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. - Zhiwen Shao; Hancheng Zhu; Yong Zhou 003; Xiang Xiang 001; Bing Liu 016; Rui Yao; Lizhuang Ma (Int. J. Comput. Vis., 2025)

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking. - Shenglan Li; Rui Yao; Yong Zhou 003; Hancheng Zhu; Kunyang Sun; Bing Liu 016; Zhiwen Shao; Jiaqi Zhao 001 (CoRR, 2025)

High-level LoRA and hierarchical fusion for enhanced micro-expression recognition. - Zhiwen Shao; Yifan Cheng; Yong Zhou 003; Xiang Xiang 001; Jian Li 054; Bing Liu 016; Dit-Yan Yeung (Vis. Comput., 2025)

Semi-supervised Image Dehazing via Expectation-Maximization and Bidirectional Brownian Bridge Diffusion Models. - Bing Liu 016; Le Wang; Mingming Liu; Hao Liu 065; Rui Yao; Yong Zhou 003; Peng Liu 013; Tongqiang Xia (CoRR, 2025)