A New Social Network Sampling Algorithm Based on Temperature Conduction Model. - Xiaolin Du; Yunming Ye; Yueping Li; Xiaohui Huang 003 (J. Softw., 2013)

Short Text Classification: A Survey. - Ge Song; Yunming Ye; Xiaolin Du; Xiaohui Huang 003; Shifu Bie (J. Multim., 2014)

DSKmeans: A new kmeans-type approach to discriminative subspace clustering. - Xiaohui Huang 003; Yunming Ye; Huifeng Guo; Yi Cai 001; Haijun Zhang 002; Yan Li 040 (Knowl. Based Syst., 2014)

Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. - Xiaohui Huang 003; Yunming Ye; Haijun Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

An estimation model for social relationship strength based on users' profiles, co-occurrence and interaction activities. - Liyan Xiong; Yin Lei; Weichun Huang; Xiaohui Huang 003; Maosheng Zhong (Neurocomputing, 2016)

Time series k-means: A new k-means type smooth subspace clustering for time series data. - Xiaohui Huang 003; Yunming Ye; Liyan Xiong; Raymond Y. K. Lau; Nan Jiang 013; Shaokai Wang (Inf. Sci., 2016)

Clustering time-stamped data using multiple nonnegative matrices factorization. - Xiaohui Huang 003; Yunming Ye; Liyan Xiong; Shaokai Wang; Xiaofei Yang 002 (Knowl. Based Syst., 2016)

Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media. - Xiaolin Du; Yunming Ye; Raymond Y. K. Lau; Yueping Li; Xiaohui Huang 003 (Multim. Tools Appl., 2016)

A generative model with hypergraph regularizers for protein function prediction. - Shaokai Wang; Xutao Li; Yunming Ye; Yan Li 040; Xiaohui Huang 003; Xiaolin Du (IJCNN, 2017)

Semi-supervised Collective Classification in Multi-attribute Network Data. - Shaokai Wang; Yunming Ye; Xutao Li; Xiaohui Huang 003; Raymond Y. K. Lau (Neural Process. Lett., 2017)

Multi-attribute and relational learning via hypergraph regularized generative model. - Shaokai Wang; Xutao Li; Yunming Ye; Xiaohui Huang 003; Yan Li 040 (Neurocomputing, 2018)

A new weighting k-means type clustering framework with an l2-norm regularization. - Xiaohui Huang 003; Xiaofei Yang 002; Junhui Zhao 001; Liyan Xiong; Yunming Ye (Knowl. Based Syst., 2018)

Hyperspectral Image Classification With Deep Learning Models. - Xiaofei Yang 002; Yunming Ye; Xutao Li; Raymond Y. K. Lau; Xiaofeng Zhang 002; Xiaohui Huang 003 (IEEE Trans. Geosci. Remote. Sens., 2018)

Road Detection via Deep Residual Dense U-Net. - Xiaofei Yang 002; Xutao Li; Yunming Ye; Xiaofeng Zhang 002; Haijun Zhang 002; Xiaohui Huang 003; Bowen Zhang 005 (IJCNN, 2019)

Anchor Link Prediction across Attributed Networks via Network Embedding. - Shaokai Wang; Xutao Li; Yunming Ye; Shanshan Feng 001; Raymond Y. K. Lau; Xiaohui Huang 003; Xiaolin Du (Entropy, 2019)

An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering. - Liyan Xiong; Cheng Wang; Xiaohui Huang 003; Hui Zeng (Entropy, 2019)

Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. - Xiaofei Yang 002; Xutao Li; Yunming Ye; Raymond Y. K. Lau; Xiaofeng Zhang 002; Xiaohui Huang 003 (IEEE Trans. Geosci. Remote. Sens., 2019)

A Sparse Connected Long Short-Term Memory With Sharing Weight for Time Series Prediction. - Liyan Xiong; Xiangzheng Ling; Xiaohui Huang 003; Hong Tang; Weimin Yuan; Weichun Huang (IEEE Access, 2020)

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. - Xiaofei Yang 002; Xiaofeng Zhang 002; Yunming Ye; Raymond Y. K. Lau; Shijian Lu; Xutao Li; Xiaohui Huang 003 (Remote. Sens., 2020)

Multistep Coupled Graph Convolution With Temporal-Attention for Traffic Flow Prediction. - Xiaohui Huang 003; Yuming Ye; Xiaofei Yang 002; Liyan Xiong (IEEE Access, 2022)

A time-dependent attention convolutional LSTM method for traffic flow prediction. - Xiaohui Huang 003; Jie Tang 009; Xiaofei Yang 002; Liyan Xiong (Appl. Intell., 2022)

A multi-mode traffic flow prediction method with clustering based attention convolution LSTM. - Xiaohui Huang 003; Yuming Ye; Cheng Wang; Xiaofei Yang 002; Liyan Xiong (Appl. Intell., 2022)

Deep spatio-temporal neural network based on interactive attention for traffic flow prediction. - Hui Zeng; Zhiying Peng; Xiaohui Huang 003; Yixue Yang; Rong Hu (Appl. Intell., 2022)

One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. - Hong Tang; Xiangzheng Ling; Liangzhi Li 001; Liyan Xiong; Yu Yao; Xiaohui Huang 003 (Neurocomputing, 2022)

Multi-mode dynamic residual graph convolution network for traffic flow prediction. - Xiaohui Huang 003; Yuming Ye; Weihua Ding; Xiaofei Yang 002; Liyan Xiong (Inf. Sci., 2022)

Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction. - Weichun Huang; Yixue Yang; Zhiying Peng; Liyan Xiong; Xiaohui Huang 003 (Sensors, 2022)

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction. - Xiaohui Huang 003; Junyang Wang 003; Yuanchun Lan; Chaojie Jiang; Xinhua Yuan (Sensors, 2023)

SS-TMNet: Spatial-Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification. - Xiaohui Huang 003; Yunfei Zhou; Xiaofei Yang 002; Xianhong Zhu; Ke Wang (Remote. Sens., 2023)

An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales. - Liyan Xiong; Hu Yi; Xiaohui Huang 003; Weichun Huang (Multim. Tools Appl., 2023)

Emotion-cause pair extraction based on interactive attention. - Weichun Huang; Yixue Yang; Xiaohui Huang 003; Zhiying Peng; Liyan Xiong (Appl. Intell., 2023)

Multi-view dynamic graph convolution neural network for traffic flow prediction. - Xiaohui Huang 003; Yuming Ye; Xiaofei Yang 002; Liyan Xiong (Expert Syst. Appl., 2023)

MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion. - Xiaohui Huang 003; Yuan Jiang; Jie Tang 009 (Appl. Intell., 2023)

Effective credit assignment deep policy gradient multi-agent reinforcement learning for vehicle dispatch. - Xiaohui Huang 003; Xiong Zhang; Jiahao Ling; Xuebo Cheng (Appl. Intell., 2023)

TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting. - Liyan Xiong; Zhida Li; Xiaohui Huang 003; Yijuan Zeng; Peng Huang (Multim. Syst., 2023)

Large Vehicle Scheduling Based on Uncertainty Weighting Harmonic Twin-Critic Network. - Xiaohui Huang 003; Kaiming Yang; Jiahao Ling (IEEE Syst. J., 2023)

Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management. - Xiaohui Huang 003; Jiahao Ling; Xiaofei Yang 002; Xiong Zhang; Kaiming Yang (IEEE Trans. Intell. Transp. Syst., 2023)

SCCGCN: A Skip-Connection Coupled Graph Convolutional Network with Dynamic Fusion Attention Mechanism for Traffic Flow Prediction. - Xiangze Liu; Xiaohui Huang 003; Yuanchun Lan; Liyan Xiong; Nan Jiang 013 (IoTML, 2024)

DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification. - Yunfei Zhou; Xiaohui Huang 003; Xiaofei Yang 002; Jiangtao Peng; Yifang Ban (IEEE Trans. Geosci. Remote. Sens., 2024)

MSMT-LCL: Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification. - Yunfei Zhou; Xiaohui Huang 003; Xiaofei Yang 002; Jiangtao Peng; Yifang Ban; Nan Jiang 013 (IEEE Trans. Geosci. Remote. Sens., 2024)

Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. - Liyan Xiong; Xinhua Yuan; Zhuyi Hu; Xiaohui Huang 003; Peng Huang (Neural Process. Lett., 2024)

Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer. - Xianhong Zhu; Xiaohui Huang 003; Weijia Cao; Xiaofei Yang 002; Yunfei Zhou; Shaokai Wang (Remote. Sens., 2024)

Multi-scale attention graph convolutional recurrent network for traffic forecasting. - Liyan Xiong; Zhuyi Hu; Xinhua Yuan; Weihua Ding; Xiaohui Huang 003; Yuanchun Lan (Clust. Comput., 2024)

Students and teachers learning together: a robust training strategy for neural network pruning. - Liyan Xiong; Qingsen Chen; Jiawen Huang; Xiaohui Huang 003; Peng Huang; Shangfeng Wei (Multim. Syst., 2024)

MLANet: multi-level attention network with multi-scale feature fusion for crowd counting. - Liyan Xiong; Yijuan Zeng; Xiaohui Huang 003; Zhida Li; Peng Huang (Clust. Comput., 2024)

A local global attention based spatiotemporal network for traffic flow forecasting. - Yuanchun Lan; Jiahao Ling; Xiaohui Huang 003; Junyang Wang 003; Zhuyi Hu; Liyan Xiong (Clust. Comput., 2024)

STA-former: encoding traffic flows with spatio-temporal associations in transformer networks for prediction. - Hui Zeng; Xuewei Duan; Xiaohui Huang 003; Qiang Cui (Clust. Comput., 2024)

An offline-to-online reinforcement learning approach based on multi-action evaluation with policy extension. - Xuebo Cheng; Xiaohui Huang 003; Zhichao Huang 001; Nan Jiang 013 (Appl. Intell., 2024)

STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction. - Hui Zeng; Qiang Cui; Xiaohui Huang 003; Xuewei Duan (Clust. Comput., 2024)

Balancing supply and demand for ride-hailing: A preallocation hierarchical reinforcement learning approach. - Jiahao Ling; Xiaohui Huang 003; Xiaofei Yang 002; Boxue Cheng (Inf. Sci., 2025)

CSFNet: A novel counting network based on context features and multi-scale information. - Liyan Xiong; Zhida Li; Xiaohui Huang 003; Heng Wang (Multim. Syst., 2025)

Filter pruning via annealing decaying for deep convolutional neural networks acceleration. - Jiawen Huang; Liyan Xiong; Xiaohui Huang 003; Qingsen Chen; Peng Huang (Clust. Comput., 2025)

Mamba-UNet: Dual-Branch Mamba Fusion U-Net With Multiscale Spatio-Temporal Attention for Precipitation Nowcasting. - Sihao Zhao; Fu Wang; Xiaohui Huang 003; Xiaofei Yang 002; Nan Jiang 013; Jiangtao Peng; Yifang Ban (IEEE Trans. Ind. Informatics, 2025)

Hierarchical reinforcement learning with attention-driven multi-actor A2C and shared critic for fleet management. - Xiaohui Huang 003; Xiaoji Cheng; Nan Jiang 013; Wei Liu 052; Ying Yu (Expert Syst. Appl., 2026)