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Xiaohui Huang 0003
Person information
- affiliation: East China Jiaotong University, School of Information and Software Engineering, Nanchang, China
Other persons with the same name
- Xiaohui Huang — disambiguation page
- Xiaohui Huang 0001 — Zhejiang Normal University, College of Mathematics Physics and Information Engineering, Jinhua, China (and 1 more)
- Xiaohui Huang 0002 — China University of Geosciences, School of Computer Science, Wuhan, China
- Xiaohui Huang 0004 — University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
- Xiaohui Huang 0005 — Xinjiang University, College of Information Science and Engineering, Key Laboratory of Signal Detection and Processing, Urumqi, China
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2020 – today
- 2024
- [j45]Xuebo Cheng, Xiaohui Huang, Zhichao Huang, Nan Jiang:
An offline-to-online reinforcement learning approach based on multi-action evaluation with policy extension. Appl. Intell. 54(23): 12246-12271 (2024) - [j44]Liyan Xiong, Zhuyi Hu, Xinhua Yuan, Weihua Ding, Xiaohui Huang, Yuanchun Lan:
Multi-scale attention graph convolutional recurrent network for traffic forecasting. Clust. Comput. 27(3): 3277-3291 (2024) - [j43]Liyan Xiong, Yijuan Zeng, Xiaohui Huang, Zhida Li, Peng Huang:
MLANet: multi-level attention network with multi-scale feature fusion for crowd counting. Clust. Comput. 27(5): 6591-6608 (2024) - [j42]Yuanchun Lan, Jiahao Ling, Xiaohui Huang, Junyang Wang, Zhuyi Hu, Liyan Xiong:
A local global attention based spatiotemporal network for traffic flow forecasting. Clust. Comput. 27(6): 8459-8475 (2024) - [j41]Hui Zeng, Xuewei Duan, Xiaohui Huang, Qiang Cui:
STA-former: encoding traffic flows with spatio-temporal associations in transformer networks for prediction. Clust. Comput. 27(7): 9693-9714 (2024) - [j40]Hui Zeng, Qiang Cui, Xiaohui Huang, Xuewei Duan:
STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction. Clust. Comput. 27(9): 12069-12089 (2024) - [j39]Liyan Xiong, Qingsen Chen, Jiawen Huang, Xiaohui Huang, Peng Huang, Shangfeng Wei:
Students and teachers learning together: a robust training strategy for neural network pruning. Multim. Syst. 30(3): 122 (2024) - [j38]Liyan Xiong, Xinhua Yuan, Zhuyi Hu, Xiaohui Huang, Peng Huang:
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. Neural Process. Lett. 56(1): 9 (2024) - [j37]Xianhong Zhu, Xiaohui Huang, Weijia Cao, Xiaofei Yang, Yunfei Zhou, Shaokai Wang:
Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer. Remote. Sens. 16(7): 1183 (2024) - [j36]Yunfei Zhou, Xiaohui Huang, Xiaofei Yang, Jiangtao Peng, Yifang Ban:
DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j35]Yunfei Zhou, Xiaohui Huang, Xiaofei Yang, Jiangtao Peng, Yifang Ban, Nan Jiang:
MSMT-LCL: Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c3]Xiangze Liu, Xiaohui Huang, Yuanchun Lan, Liyan Xiong, Nan Jiang:
SCCGCN: A Skip-Connection Coupled Graph Convolutional Network with Dynamic Fusion Attention Mechanism for Traffic Flow Prediction. IoTML 2024: 19-23 - 2023
- [j34]Weichun Huang, Yixue Yang, Xiaohui Huang, Zhiying Peng, Liyan Xiong:
Emotion-cause pair extraction based on interactive attention. Appl. Intell. 53(9): 10548-10558 (2023) - [j33]Xiaohui Huang, Yuan Jiang, Jie Tang:
MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion. Appl. Intell. 53(16): 19372-19383 (2023) - [j32]Xiaohui Huang, Xiong Zhang, Jiahao Ling, Xuebo Cheng:
Effective credit assignment deep policy gradient multi-agent reinforcement learning for vehicle dispatch. Appl. Intell. 53(20): 23457-23469 (2023) - [j31]Xiaohui Huang, Yuming Ye, Xiaofei Yang, Liyan Xiong:
Multi-view dynamic graph convolution neural network for traffic flow prediction. Expert Syst. Appl. 222: 119779 (2023) - [j30]Liyan Xiong, Zhida Li, Xiaohui Huang, Yijuan Zeng, Peng Huang:
TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting. Multim. Syst. 29(6): 3259-3276 (2023) - [j29]Liyan Xiong, Hu Yi, Xiaohui Huang, Weichun Huang:
An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales. Multim. Tools Appl. 82(9): 13929-13949 (2023) - [j28]Xiaohui Huang, Yunfei Zhou, Xiaofei Yang, Xianhong Zhu, Ke Wang:
SS-TMNet: Spatial-Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification. Remote. Sens. 15(5): 1206 (2023) - [j27]Xiaohui Huang, Junyang Wang, Yuanchun Lan, Chaojie Jiang, Xinhua Yuan:
MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction. Sensors 23(2): 841 (2023) - [j26]Xiaohui Huang, Kaiming Yang, Jiahao Ling:
Large Vehicle Scheduling Based on Uncertainty Weighting Harmonic Twin-Critic Network. IEEE Syst. J. 17(4): 5978-5986 (2023) - [j25]Xiaohui Huang, Jiahao Ling, Xiaofei Yang, Xiong Zhang, Kaiming Yang:
Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management. IEEE Trans. Intell. Transp. Syst. 24(12): 14294-14305 (2023) - 2022
- [j24]Xiaohui Huang, Yuming Ye, Xiaofei Yang, Liyan Xiong:
Multistep Coupled Graph Convolution With Temporal-Attention for Traffic Flow Prediction. IEEE Access 10: 48179-48192 (2022) - [j23]Hui Zeng, Zhiying Peng, Xiaohui Huang, Yixue Yang, Rong Hu:
Deep spatio-temporal neural network based on interactive attention for traffic flow prediction. Appl. Intell. 52(9): 10285-10296 (2022) - [j22]Xiaohui Huang, Yuming Ye, Cheng Wang, Xiaofei Yang, Liyan Xiong:
A multi-mode traffic flow prediction method with clustering based attention convolution LSTM. Appl. Intell. 52(13): 14773-14786 (2022) - [j21]Xiaohui Huang, Jie Tang, Xiaofei Yang, Liyan Xiong:
A time-dependent attention convolutional LSTM method for traffic flow prediction. Appl. Intell. 52(15): 17371-17386 (2022) - [j20]Hong Tang, Xiangzheng Ling, Liangzhi Li, Liyan Xiong, Yu Yao, Xiaohui Huang:
One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. Neurocomputing 512: 15-24 (2022) - [j19]Xiaohui Huang, Yuming Ye, Weihua Ding, Xiaofei Yang, Liyan Xiong:
Multi-mode dynamic residual graph convolution network for traffic flow prediction. Inf. Sci. 609: 548-564 (2022) - [j18]Weichun Huang, Yixue Yang, Zhiying Peng, Liyan Xiong, Xiaohui Huang:
Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction. Sensors 22(10): 3637 (2022) - 2020
- [j17]Liyan Xiong, Xiangzheng Ling, Xiaohui Huang, Hong Tang, Weimin Yuan, Weichun Huang:
A Sparse Connected Long Short-Term Memory With Sharing Weight for Time Series Prediction. IEEE Access 8: 66856-66866 (2020) - [j16]Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang:
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. Remote. Sens. 12(12): 2033 (2020)
2010 – 2019
- 2019
- [j15]Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du:
Anchor Link Prediction across Attributed Networks via Network Embedding. Entropy 21(3): 254 (2019) - [j14]Liyan Xiong, Cheng Wang, Xiaohui Huang, Hui Zeng:
An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering. Entropy 21(7): 683 (2019) - [j13]Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang:
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Trans. Geosci. Remote. Sens. 57(9): 7209-7220 (2019) - [c2]Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang:
Road Detection via Deep Residual Dense U-Net. IJCNN 2019: 1-7 - 2018
- [j12]Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li:
Multi-attribute and relational learning via hypergraph regularized generative model. Neurocomputing 274: 115-124 (2018) - [j11]Xiaohui Huang, Xiaofei Yang, Junhui Zhao, Liyan Xiong, Yunming Ye:
A new weighting k-means type clustering framework with an l2-norm regularization. Knowl. Based Syst. 151: 165-179 (2018) - [j10]Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang:
Hyperspectral Image Classification With Deep Learning Models. IEEE Trans. Geosci. Remote. Sens. 56(9): 5408-5423 (2018) - 2017
- [j9]Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau:
Semi-supervised Collective Classification in Multi-attribute Network Data. Neural Process. Lett. 45(1): 153-172 (2017) - [c1]Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du:
A generative model with hypergraph regularizers for protein function prediction. IJCNN 2017: 1289-1296 - 2016
- [j8]Liyan Xiong, Yin Lei, Weichun Huang, Xiaohui Huang, Maosheng Zhong:
An estimation model for social relationship strength based on users' profiles, co-occurrence and interaction activities. Neurocomputing 214: 927-934 (2016) - [j7]Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang:
Time series k-means: A new k-means type smooth subspace clustering for time series data. Inf. Sci. 367-368: 1-13 (2016) - [j6]Xiaohui Huang, Yunming Ye, Liyan Xiong, Shaokai Wang, Xiaofei Yang:
Clustering time-stamped data using multiple nonnegative matrices factorization. Knowl. Based Syst. 114: 88-98 (2016) - [j5]Xiaolin Du, Yunming Ye, Raymond Y. K. Lau, Yueping Li, Xiaohui Huang:
Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media. Multim. Tools Appl. 75(12): 7159-7186 (2016) - 2014
- [j4]Ge Song, Yunming Ye, Xiaolin Du, Xiaohui Huang, Shifu Bie:
Short Text Classification: A Survey. J. Multim. 9(5): 635-643 (2014) - [j3]Xiaohui Huang, Yunming Ye, Huifeng Guo, Yi Cai, Haijun Zhang, Yan Li:
DSKmeans: A new kmeans-type approach to discriminative subspace clustering. Knowl. Based Syst. 70: 293-300 (2014) - [j2]Xiaohui Huang, Yunming Ye, Haijun Zhang:
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1433-1446 (2014) - 2013
- [j1]Xiaolin Du, Yunming Ye, Yueping Li, Xiaohui Huang:
A New Social Network Sampling Algorithm Based on Temperature Conduction Model. J. Softw. 8(11): 2688-2696 (2013)
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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