The Chinese Conceptual Graph Matching Algorithm Based on Conceptual Sub-graph Weight Self-Adjustment. - Hui Zeng; Liyan Xiong; Jianjun Chen (3PGCIC, 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)

The intensional semantic conceptual graph matching algorithm based on conceptual sub-graph weight self-adjustment. - Hui Zeng; Liyan Xiong; Jianjun Chen (Int. J. Comput. Sci. Eng., 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)

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)

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)

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)

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)

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)

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)

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)

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)

SFPANet: Separation and fusion pyramid attention network for crowd counting. - Liyan Xiong; Huizi Deng; Hu Yi; Peng Huang; Qiyun Zhou (Multim. Tools Appl., 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)

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)