Bing Liu

68 papers A* 3Journal 59Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Few-Shot Quaternion-valued Correlation Squeeze Network for Document Image Layout Segmentation.
Int. J. Document Anal. Recognit.
Rui Yao, Qiwei Yu, Songhui Zhao, Yuxuan Yang, Yong Zhou, Bing Liu
2025 J jnl
Adversarial Geometric Attacks for 3D Point Cloud Object Tracking.
IEEE Trans. Multim.
Rui Yao, Anqi Zhang, Yong Zhou, Jiaqi Zhao, Bing Liu, Abdulmotaleb El Saddik
2025 A* conf
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation.
IJCAI
Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu
2025 — conf
Dual-Domain Low-Light Image Enhancement Network via Frequency Interaction and Structure-Guided Attention.
PRCV (8)
Bing Liu, Jiale Cao, Mingming Liu, Hao Liu, Peng Liu, Chen Zhang
2025 — conf
Enhanced Teacher-Student Framework with Weighted Loss and Presence Awareness for Semi-supervised Semantic Segmentation.
PRCV (1)
Peng Liu, Chengcheng Zhou, Kecheng Liu, Hengyu Cao, Xuekui Wang, Bing Liu
2025 J jnl
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample.
Int. J. Comput. Vis.
Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma
2025 J jnl
Hierarchical Relation Learning for Few-Shot Semantic Segmentation in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xin He, Yun Liu, Yong Zhou, Henghui Ding, Jiaqi Zhao, Bing Liu, Xudong Jiang
2025 J jnl
High-level LoRA and hierarchical fusion for enhanced micro-expression recognition.
Vis. Comput.
Zhiwen Shao, Yifan Cheng, Yong Zhou, Xiang Xiang, Jian Li, Bing Liu, Dit-Yan Yeung
2025 J jnl
L2A: Learning Affinity From Attention for Weakly Supervised Continual Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Hao Liu, Yong Zhou, Bing Liu, Ming Yan, Joey Tianyi Zhou
2025 J jnl
Mirror Detection via Multi-Directional Similarity Perception and Spectral Saliency Enhancement.
IEEE Trans. Circuits Syst. Video Technol.
Zhiwen Shao, Rui Chen, Xuehuai Shi, Bing Liu, Canlin Li, Lizhuang Ma, Dit-Yan Yeung
2025 A* conf
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking.
IJCAI
Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao
2025 J jnl
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking.
CoRR
Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao
2025 — conf
Multi-scale Progressive Low-Light Image Enhancement Networks.
PRCV (9)
Bing Liu, Jiale Cao, Mingming Liu, Hao Liu, Peng Liu, Chen Zhang
2025 J jnl
Semi-supervised Image Dehazing via Expectation-Maximization and Bidirectional Brownian Bridge Diffusion Models.
CoRR
Bing Liu, Le Wang, Mingming Liu, Hao Liu, Rui Yao, Yong Zhou, Peng Liu, Tongqiang Xia
2025 J jnl
Syntactic-Conditional Diffusion Networks for Controllable Image Captioning.
ACM Trans. Multim. Comput. Commun. Appl.
Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, Peng Liu
2024 J jnl
Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss.
ACM Trans. Multim. Comput. Commun. Appl.
Ying Chen, Rui Yao, Yong Zhou, Jiaqi Zhao, Bing Liu, Abdulmotaleb El Saddik
2024 J jnl
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer.
IEEE Trans. Circuits Syst. Video Technol.
Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
2024 J jnl
Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Jing Xu, Bing Liu, Yong Zhou, Mingming Liu, Rui Yao, Zhiwen Shao
2024 J jnl
Diverse Image Captioning via Panoptic Segmentation and Sequential Conditional Variational Transformer.
ACM Trans. Multim. Comput. Commun. Appl.
Bing Liu, Jinfu Lu, Mingming Liu, Hao Liu, Yong Zhou, Dongping Yang
2024 J jnl
Efficient convolutional neural networks and network compression methods for object detection: a survey.
Multim. Tools Appl.
Yong Zhou, Lei Xia, Jiaqi Zhao, Rui Yao, Bing Liu
2024 J jnl
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample.
CoRR
Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma
2024 J jnl
Joint facial action unit recognition and self-supervised optical flow estimation.
Pattern Recognit. Lett.
Zhiwen Shao, Yong Zhou, Feiran Li, Hancheng Zhu, Bing Liu
2024 J jnl
Remote sensing image semantic segmentation via class-guided structural interaction and boundary perception.
Expert Syst. Appl.
Xin He, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao
2024 J jnl
Single image super-resolution via global aware external attention and multi-scale residual channel attention network.
Int. J. Mach. Learn. Cybern.
Mingming Liu, Sui Li, Bing Liu, Yuxin Yang, Peng Liu, Chen Zhang
2023 J jnl
Attention-guided Adversarial Attack for Video Object Segmentation.
ACM Trans. Intell. Syst. Technol.
Rui Yao, Ying Chen, Yong Zhou, Fuyuan Hu, Jiaqi Zhao, Bing Liu, Zhiwen Shao
2023 J jnl
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer.
CoRR
Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
2023 J jnl
Distilled Meta-learning for Multi-Class Incremental Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Hao Liu, Zhaoyu Yan, Bing Liu, Jiaqi Zhao, Yong Zhou, Abdulmotaleb El Saddik
2023 J jnl
Incremental learning with neural networks for computer vision: a survey.
Artif. Intell. Rev.
Hao Liu, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao
2023 J jnl
Semi-supervised transformable architecture search for feature distillation.
Pattern Anal. Appl.
Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu, Hao Chen
2023 J jnl
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask.
IEEE Trans. Multim.
Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
2023 J jnl
Unsupervised RGB-T object tracking with attentional multi-modal feature fusion.
Multim. Tools Appl.
Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Bing Liu, Jiaqi Zhao, Zhiwen Shao
2023 J jnl
Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning.
IEEE Trans. Multim.
Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu
2022 — conf
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation.
PRCV (1)
Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu
2022 J jnl
Clustering Matters: Sphere Feature for Fully Unsupervised Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl.
Yi Zheng, Yong Zhou, Jiaqi Zhao, Ying Chen, Rui Yao, Bing Liu, Abdulmotaleb El Saddik
2022 J jnl
Facial action unit detection via hybrid relational reasoning.
Vis. Comput.
Zhiwen Shao, Yong Zhou, Bing Liu, Hancheng Zhu, Wen-Liang Du, Jiaqi Zhao
2022 J jnl
Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement.
IEEE Geosci. Remote. Sens. Lett.
Xin He, Yong Zhou, Jiaqi Zhao, Man Zhang, Rui Yao, Bing Liu, Haichao Li
2022 J jnl
Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image.
IEEE Geosci. Remote. Sens. Lett.
Jiaqi Wang, Bing Liu, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Yuancan Yang, Man Zhang, Liu Ming Ming
2022 A* conf
Show, Deconfound and Tell: Image Captioning with Causal Inference.
CVPR
Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao
2022 J jnl
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask.
CoRR
Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
2021 J jnl
A siamese pedestrian alignment network for person re-identification.
Multim. Tools Appl.
Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Ying Chen
2021 J jnl
Point cloud classification by dynamic graph CNN with adaptive feature fusion.
IET Comput. Vis.
Rui Guo, Yong Zhou, Jiaqi Zhao, Yiyun Man, Minjie Liu, Rui Yao, Bing Liu
2021 J jnl
Shape robust Siamese network tracking based on weakly supervised learning.
Int. J. Wavelets Multiresolution Inf. Process.
Ding Ma, Yong Zhou, Rui Yao, Jiaqi Zhao, Bing Liu, Banji Gua
2021 J jnl
Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification.
Int. J. Wavelets Multiresolution Inf. Process.
Rui Guo, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Xunhui Zhang
2020 J jnl
A survey of semi- and weakly supervised semantic segmentation of images.
Artif. Intell. Rev.
Man Zhang, Yong Zhou, Jiaqi Zhao, Yiyun Man, Bing Liu, Rui Yao
2020 J jnl
Character-level text classification via convolutional neural network and gated recurrent unit.
Int. J. Mach. Learn. Cybern.
Bing Liu, Yong Zhou, Wei Sun
2020 J jnl
Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest.
Int. J. Mach. Learn. Cybern.
Peng Liu, Xuekui Wang, Liangfei Yin, Bing Liu
2020 J jnl
Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification.
Neurocomputing
Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Ding Ma, Yi Zheng
2020 J jnl
Remote sensing image caption generation via transformer and reinforcement learning.
Multim. Tools Appl.
Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao
2020 J jnl
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning.
Knowl. Based Syst.
Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao, Mingming Liu
2019 — conf
A Siamese Pedestrian Alignment Network for Person Re-identification.
PRCV (1)
Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Xuning Liu
2019 J jnl
Remote sensing scene classification based on rotation-invariant feature learning and joint decision making.
EURASIP J. Image Video Process.
Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng
2019 J jnl
Saliency detection via double nuclear norm maximization and ensemble manifold regularization.
Knowl. Based Syst.
Bing Liu, Yong Zhou, Peng Liu, Wei Sun, Shuang Li, Xinqiu Fang
2019 J jnl
Siamese Convolutional Neural Networks for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett.
Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Yi Zheng
2018 — conf
Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization.
ELM
Bing Liu, Yong Zhou, Wei Sun
2018 J jnl
Relation classification via recurrent neural network with attention and tensor layers.
Big Data Min. Anal.
Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu
2018 J jnl
Spectral regression based marginal Fisher analysis dimensionality reduction algorithm.
Neurocomputing
Bing Liu, Yong Zhou, Zhanguo Xia, Peng Liu, Qiuyan Yan, Hui Xu
2017 J jnl
Embedded non-parametric kernel learning for kernel clustering.
Multidimens. Syst. Signal Process.
Mingming Liu, Bing Liu, Chen Zhang, Wei Sun
2017 J jnl
Semi-supervised low rank kernel learning algorithm via extreme learning machine.
Int. J. Mach. Learn. Cybern.
Mingming Liu, Bing Liu, Chen Zhang, Weidong Wang, Wei Sun
2016 J jnl
Manifold regularized extreme learning machine.
Neural Comput. Appl.
Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou
2016 J jnl
Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.
Comput. Intell. Neurosci.
Shuang Li, Bing Liu, Chen Zhang
2015 J jnl
A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning.
Cogn. Comput.
Shixiong Xia, Fanrong Meng, Bing Liu, Yong Zhou
2015 J jnl
Extreme spectral regression for efficient regularized subspace learning.
Neurocomputing
Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou
2015 J jnl
Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization.
Knowl. Based Syst.
Mingming Liu, Wei Sun, Bing Liu
2015 J jnl
Semi-supervised extreme learning machine with manifold and pairwise constraints regularization.
Neurocomputing
Yong Zhou, Beizuo Liu, Shixiong Xia, Bing Liu
2013 J jnl
Deformed Kernel Based Extreme Learning Machine.
J. Comput.
Chen Zhang, Xiong Shi Xia, Bing Liu
2013 J jnl
Extreme Maximum Margin Clustering.
IEICE Trans. Inf. Syst.
Chen Zhang, Shixiong Xia, Bing Liu, Lei Zhang
2013 J jnl
Multiple Kernel Spectral Regression for Dimensionality Reduction.
J. Appl. Math.
Bing Liu, Shixiong Xia, Yong Zhou
2013 J jnl
Unsupervised non-parametric kernel learning algorithm.
Knowl. Based Syst.
Bing Liu, Shixiong Xia, Yong Zhou