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ORCIDBing Liu 0016
Person information
- affiliation: China University of Mining and Technology, Xuzhou, China
Other persons with the same name
- Bing Liu — disambiguation page
- Bing Liu 0001
![[0000-0002-4096-6980]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4096-6980")
— University of Illinois at Chicago, Department of Computer Science, IL, USA - Bing Liu 0002 — University of South Australia
- Bing Liu 0003 — Google (and 1 more)
- Bing Liu 0004 — Universität Mannheim, Germany
- Bing Liu 0005 — University of Science and Technology of China, Hefei, Anhui, China
- Bing Liu 0006 — Huawei Technologies, Beijing, China (and 1 more)
- Bing Liu 0007 — Concordia University, Montreal, Canada
- Bing Liu 0008 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition
- Bing Liu 0009 — Fudan University
- Bing Liu 0010 — Huazhong University of Science and Technology, Department of Mathematics, China
- Bing Liu 0011 — Anshan Normal University, Department of Mathematics
- Bing Liu 0012 — Qualcomm, San Diego, CA, USA (and 1 more)
- Bing Liu 0013 — University of Pittsburgh, Department of Computational & Systems Biology, USA (and 2 more)
- Bing Liu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering
- Bing Liu 0015 — University of Southern California
- Bing Liu 0017 — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA
- Bing Liu 0018 — PLA Information Engineering University, Department of Big Data Analysis, Zhengzhou, China (and 1 more)
- Bing Liu 0019 — Chongqing University, College of Computer Science, Chongqing, China (and 1 more)
- Bing Liu 0020 — Harbin Engineering University, Acoustic Science and Technology Laboratory, Harbin, China
- Bing Liu 0021 — University of Edinburgh, UK
- Bing Liu 0022 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Bing Liu 0023 — Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, China
- Bing Liu 0024 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Bing Liu 0025 — University of Queensland, Australia
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Journal Articles
- 2024
[j45]Xin He, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao:
Remote sensing image semantic segmentation via class-guided structural interaction and boundary perception. Expert Syst. Appl. 252: 124019 (2024)- [j44]Mingming Liu, Sui Li, Bing Liu, Yuxin Yang, Peng Liu, Chen Zhang:
Single image super-resolution via global aware external attention and multi-scale residual channel attention network. Int. J. Mach. Learn. Cybern. 15(6): 2309-2321 (2024) - [j43]Yong Zhou, Lei Xia, Jiaqi Zhao, Rui Yao, Bing Liu:
Efficient convolutional neural networks and network compression methods for object detection: a survey. Multim. Tools Appl. 83(4): 10167-10209 (2024) - [j42]Zhiwen Shao, Yong Zhou, Feiran Li, Hancheng Zhu, Bing Liu:
Joint facial action unit recognition and self-supervised optical flow estimation. Pattern Recognit. Lett. 181: 70-76 (2024) - [j41]Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao:
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1815-1826 (2024) - [j40]Jing Xu, Bing Liu, Yong Zhou, Mingming Liu, Rui Yao, Zhiwen Shao:
Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 29:1-29:16 (2024) - [j39]Ying Chen, Rui Yao, Yong Zhou, Jiaqi Zhao, Bing Liu, Abdulmotaleb El-Saddik:
Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 57:1-57:21 (2024) - 2023
- [j38]Hao Liu, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao:
Incremental learning with neural networks for computer vision: a survey. Artif. Intell. Rev. 56(5): 4557-4589 (2023) - [j37]Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Bing Liu, Jiaqi Zhao, Zhiwen Shao:
Unsupervised RGB-T object tracking with attentional multi-modal feature fusion. Multim. Tools Appl. 82(15): 23595-23613 (2023) - [j36]Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu, Hao Chen:
Semi-supervised transformable architecture search for feature distillation. Pattern Anal. Appl. 26(2): 669-677 (2023) - [j35]Rui Yao, Ying Chen, Yong Zhou, Fuyuan Hu, Jiaqi Zhao, Bing Liu, Zhiwen Shao:
Attention-guided Adversarial Attack for Video Object Segmentation. ACM Trans. Intell. Syst. Technol. 14(6): 102:1-102:22 (2023) - [j34]Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao:
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. IEEE Trans. Multim. 25: 5030-5042 (2023) - [j33]Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu:
Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning. IEEE Trans. Multim. 25: 7980-7991 (2023) - [j32]Hao Liu, Zhaoyu Yan, Bing Liu, Jiaqi Zhao, Yong Zhou, Abdulmotaleb El-Saddik:
Distilled Meta-learning for Multi-Class Incremental Learning. ACM Trans. Multim. Comput. Commun. Appl. 19(4): 149:1-149:16 (2023) - 2022
- [j31]Xin He, Yong Zhou, Jiaqi Zhao, Man Zhang, Rui Yao, Bing Liu, Haichao Li:
Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j30]Jiaqi Wang, Bing Liu, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Yuancan Yang, Man Zhang, Liu Ming Ming:
Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j29]Yi Zheng, Yong Zhou, Jiaqi Zhao, Ying Chen, Rui Yao, Bing Liu, Abdulmotaleb El-Saddik:
Clustering Matters: Sphere Feature for Fully Unsupervised Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 97:1-97:18 (2022) - [j28]Zhiwen Shao, Yong Zhou, Bing Liu, Hancheng Zhu, Wen-Liang Du, Jiaqi Zhao:
Facial action unit detection via hybrid relational reasoning. Vis. Comput. 38(9): 3045-3057 (2022) - 2021
- [j27]Rui Guo, Yong Zhou, Jiaqi Zhao, Yiyun Man, Minjie Liu, Rui Yao, Bing Liu:
Point cloud classification by dynamic graph CNN with adaptive feature fusion. IET Comput. Vis. 15(3): 235-244 (2021) - [j26]Ding Ma, Yong Zhou, Rui Yao, Jiaqi Zhao, Bing Liu, Banji Gua:
Shape robust Siamese network tracking based on weakly supervised learning. Int. J. Wavelets Multiresolution Inf. Process. 19(1): 2050057:1-2050057:12 (2021) - [j25]Rui Guo, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Xunhui Zhang:
Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification. Int. J. Wavelets Multiresolution Inf. Process. 19(4): 2150007:1-2150007:16 (2021) - [j24]Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Ying Chen:
A siamese pedestrian alignment network for person re-identification. Multim. Tools Appl. 80(25): 33951-33970 (2021) - 2020
- [j23]Man Zhang, Yong Zhou, Jiaqi Zhao, Yiyun Man, Bing Liu, Rui Yao:
A survey of semi- and weakly supervised semantic segmentation of images. Artif. Intell. Rev. 53(6): 4259-4288 (2020) - [j22]Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Ding Ma, Yi Zheng:
Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification. Neurocomputing 381: 298-305 (2020) - [j21]Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao, Mingming Liu:
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning. Knowl. Based Syst. 203: 105920 (2020) - [j20]Bing Liu, Yong Zhou, Wei Sun:
Character-level text classification via convolutional neural network and gated recurrent unit. Int. J. Mach. Learn. Cybern. 11(8): 1939-1949 (2020) - [j19]Peng Liu, Xuekui Wang, Liangfei Yin, Bing Liu:
Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest. Int. J. Mach. Learn. Cybern. 11(11): 2501-2513 (2020) - [j18]Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao:
Remote sensing image caption generation via transformer and reinforcement learning. Multim. Tools Appl. 79(35-36): 26661-26682 (2020) - 2019
- [j17]Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng:
Remote sensing scene classification based on rotation-invariant feature learning and joint decision making. EURASIP J. Image Video Process. 2019: 3 (2019) - [j16]Bing Liu, Yong Zhou, Peng Liu, Wei Sun, Shuang Li, Xinqiu Fang:
Saliency detection via double nuclear norm maximization and ensemble manifold regularization. Knowl. Based Syst. 183 (2019) - [j15]Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Yi Zheng:
Siamese Convolutional Neural Networks for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 16(8): 1200-1204 (2019) - 2018
- [j14]Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu:
Relation classification via recurrent neural network with attention and tensor layers. Big Data Min. Anal. 1(3): 234-244 (2018) - [j13]Bing Liu, Yong Zhou, Zhanguo Xia, Peng Liu, Qiu-Yan Yan, Hui Xu:
Spectral regression based marginal Fisher analysis dimensionality reduction algorithm. Neurocomputing 277: 101-107 (2018) - 2017
- [j12]Mingming Liu, Bing Liu, Chen Zhang, Weidong Wang, Wei Sun:
Semi-supervised low rank kernel learning algorithm via extreme learning machine. Int. J. Mach. Learn. Cybern. 8(3): 1039-1052 (2017) - [j11]Mingming Liu, Bing Liu, Chen Zhang, Wei Sun:
Embedded non-parametric kernel learning for kernel clustering. Multidimens. Syst. Signal Process. 28(4): 1697-1715 (2017) - 2016
- [j10]Shuang Li, Bing Liu, Chen Zhang:
Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing. Comput. Intell. Neurosci. 2016: 4920670:1-4920670:12 (2016) - [j9]Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou:
Manifold regularized extreme learning machine. Neural Comput. Appl. 27(2): 255-269 (2016) - 2015
- [j8]Shixiong Xia, Fanrong Meng, Bing Liu, Yong Zhou:
A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning. Cogn. Comput. 7(1): 74-85 (2015) - [j7]Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou:
Extreme spectral regression for efficient regularized subspace learning. Neurocomputing 149: 171-179 (2015) - [j6]Yong Zhou, Beizuo Liu, Shixiong Xia, Bing Liu:
Semi-supervised extreme learning machine with manifold and pairwise constraints regularization. Neurocomputing 149: 180-186 (2015) - [j5]Mingming Liu, Wei Sun, Bing Liu:
Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization. Knowl. Based Syst. 83: 159-169 (2015) - 2013
- [j4]Chen Zhang, Shixiong Xia, Bing Liu, Lei Zhang:
Extreme Maximum Margin Clustering. IEICE Trans. Inf. Syst. 96-D(8): 1745-1753 (2013) - [j3]Bing Liu, Shixiong Xia, Yong Zhou:
Multiple Kernel Spectral Regression for Dimensionality Reduction. J. Appl. Math. 2013: 427462:1-427462:8 (2013) - [j2]Chen Zhang, Xiong Shi Xia, Bing Liu:
Deformed Kernel Based Extreme Learning Machine. J. Comput. 8(6): 1602-1609 (2013) - [j1]Bing Liu, Shixiong Xia, Yong Zhou:
Unsupervised non-parametric kernel learning algorithm. Knowl. Based Syst. 44: 1-9 (2013)
Conference and Workshop Papers
- 2022
- [c4]Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao:
Show, Deconfound and Tell: Image Captioning with Causal Inference. CVPR 2022: 18020-18029 - [c3]Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu:
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation. PRCV (1) 2022: 735-748 - 2019
- [c2]Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Xuning Liu:
A Siamese Pedestrian Alignment Network for Person Re-identification. PRCV (1) 2019: 409-420 - 2018
- [c1]Bing Liu, Yong Zhou, Wei Sun:
Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization. ELM 2018: 108-117
Informal and Other Publications
- 2024
- [i3]Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma:
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. CoRR abs/2410.01251 (2024) - 2023
- [i2]Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao:
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. CoRR abs/2307.13310 (2023) - 2022
- [i1]Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao:
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. CoRR abs/2206.13381 (2022)
Coauthor Index
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