On the Laplacian spectral radii of bicyclic graphs. - Chang-Xiang He; Jia-Yu Shao; Jin-Ling He (Discret. Math., 2008)

On the Laplacian coefficients of bicyclic graphs. - Chang-Xiang He; Hai-Ying Shan (Discret. Math., 2010)

The Harary Index of a Graph under perturbation. - Chang-Xiang He; Ping Chen; Bao-Feng Wu (Discret. Math. Algorithms Appl., 2010)

Three-Color Ramsey Numbers of K n Dropping an Edge. - Changxiang He; Yusheng Li 001; Lin Dong (Graphs Comb., 2012)

Signless Laplacian and normalized Laplacian on the H-join operation of graphs. - Bao-Feng Wu; Yuan-Yuan Lou; Chang-Xiang He (Discret. Math. Algorithms Appl., 2014)

On the signless Laplacian spectral determination of the join of regular graphs. - Lizhen Xu; Changxiang He (Discret. Math. Algorithms Appl., 2014)

A Sharp Upper Bound on the Least Signless Laplacian Eigenvalue Using Domination Number. - Chang-Xiang He; Min Zhou (Graphs Comb., 2014)

Minimum fundamental cycle basis of some bipartite graphs. - Changxiang He; Weilong Liu; Baofeng Wu; Zhensheng Yu; Min Chang (AKCE Int. J. Graphs Comb., 2020)

Saturation Number of Berge Stars in Random Hypergraphs. - Lele Liu; Changxiang He; Liying Kang (Electron. J. Comb., 2020)

Structure-Aware Multi-scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition. - Changxiang He; Shuting Liu; Ying Zhao; Xiaofei Qin; Jiayuan Zeng; Xuedian Zhang (ICANN (3), 2021)

Multi-Scale Feedback Feature Refinement U-Net for Medical Image Segmentation. - Xiaofei Qin; Minmin Xu; Chaoyang Zheng; Changxiang He; Xuedian Zhang (ICME, 2021)

Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition. - Changxiang He; Chen Xiao; Shuting Liu; Xiaofei Qin; Ying Zhao; Xuedian Zhang (ICONIP (2), 2021)

Some Nordhaus-Gaddum type results of Aα-eigenvalues of weighted graphs. - Changxiang He; Wenyan Wang; Yuying Li; Lele Liu (Appl. Math. Comput., 2021)

On the index of unbalanced signed bicyclic graphs. - Changxiang He; Yuying Li; Haiying Shan; Wenyan Wang (Comput. Appl. Math., 2021)

Balancedness and spectra of signed graphs obtained by $$ dot{H}$$-join operation. - Peikang Zhang; Baofeng Wu; Changxiang He (Comput. Appl. Math., 2021)

The Signature of Chordal Graphs and Cographs. - Chang-Xiang He; Shujuan Qian; Hai-Ying Shan; Bao-Feng Wu (Graphs Comb., 2021)

Efficient High-Resolution Human Pose Estimation. - Xiaofei Qin; Lingfeng Qiu; Changxiang He; Xuedian Zhang (PRICAI (3), 2022)

Multi-type feature fusion based on graph neural network for drug-drug interaction prediction. - Changxiang He; Yuru Liu; Hao Li; Hui Zhang; Yaping Mao; Xiaofei Qin; Lele Liu; Xuedian Zhang (BMC Bioinform., 2022)

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction. - Wen Zhong; Changxiang He; Chen Xiao; Yuru Liu; Xiaofei Qin; Zhensheng Yu (BMC Bioinform., 2022)

Gallai-Ramsey numbers for rainbow P5 and monochromatic fans or wheels. - Meiqin Wei; Changxiang He; Yaping Mao; Xiangqian Zhou (Discret. Math., 2022)

A Proof of a Conjecture on the Distance Spectral Radius and Maximum Transmission of Graphs. - Lele Liu; Haiying Shan; Changxiang He (Graphs Comb., 2022)

Multi-stage part-aware graph convolutional network for skeleton-based action recognition. - Xiaofei Qin; Hao Li; Yuru Liu; Jiabin Yu; Changxiang He; Xuedian Zhang (IET Image Process., 2022)

Generalized opinion dynamics model for social trust networks. - Changxiang He; Jiayuan Zeng; Guang Zhang; Shuting Liu (J. Comb. Optim., 2022)

Lightweight human pose estimation: CVC-net. - Xiaofei Qin; Haiyang Guo; Changxiang He; Xuedian Zhang (Multim. Tools Appl., 2022)

Global-Temporal Enhancement for Sign Language Recognition. - Xiaofei Qin; Hui Wang; Changxiang He; Xuedian Zhang (ICANN (8), 2023)

Attention Auxiliary Supervision for Continuous Sign Language Recognition. - Xiaofei Qin; Junyang Kong; Changxiang He; Xuedian Zhang; Chong Ghee Lua; Sutthiphong Srigrarom; Boo Cheong Khoo (PRICAI (2), 2023)

Distance-Edge-Monitoring Sets in Hierarchical and Corona Graphs. - Gang Yang; Changxiang He (J. Interconnect. Networks, 2023)

Attention-based efficient robot grasp detection network. - Xiaofei Qin; Wenkai Hu; Chen Xiao; Changxiang He; Songwen Pei; Xuedian Zhang (Frontiers Inf. Technol. Electron. Eng., 2023)

On the sum of the first two largest signless Laplacian eigenvalues of a graph. - Zi-Ming Zhou; Chang-Xiang He; Hai-Ying Shan (Discret. Math., 2024)

Perturbation Results for Distance-edge-monitoring Numbers. - Chenxu Yang; Ralf Klasing; Changxiang He; Yaping Mao (Fundam. Informaticae, 2024)

The number of spanning trees for Sierpiński graphs and data center networks. - Xiaojuan Zhang; Gang Yang; Changxiang He; Ralf Klasing; Yaping Mao (Inf. Comput., 2024)

Distance-edge-monitoring sets of networks. - Gang Yang; Jiannan Zhou; Changxiang He; Yaping Mao (Acta Informatica, 2024)

On the least eigenvalue of genuine strongly 3-walk-regular graphs. - Jiahao Zhang; Changxiang He; Rongquan Feng (Appl. Math. Comput., 2025)

A Max-Min Problem on Spectral Radius and Connectedness of Graphs. - Zhenzhen Lou; Changxiang He (Electron. J. Comb., 2025)

Corrigendum to "On the sum of the first two largest signless Laplacian eigenvalues of a graph" [Discrete Math. 347 (2024) 114035]. - Zhibin Du; Zi-Ming Zhou; Hai-Ying Shan; Chang-Xiang He (Discret. Math., 2025)

Rectified self-supervised monocular depth estimation loss for nighttime and dynamic scenes. - Xiaofei Qin; Lin Wang; Yongchao Zhu; Fan Mao; Xuedian Zhang; Changxiang He; Qiulei Dong (Eng. Appl. Artif. Intell., 2025)

Bidirectional distance encoding for graph neural networks. - Xi Wang; Changxiang He; Luchao Zhang; Xiaofei Qin; Xuedian Zhang; Ming Li 065; Min Ju (Neurocomputing, 2025)

Self-supervised monocular depth learning from unknown cameras: Leveraging the power of raw data. - Xiaofei Qin; Yongchao Zhu; Lin Wang; Xuedian Zhang; Changxiang He; Qiulei Dong (Image Vis. Comput., 2025)

Deblur-aware Gaussian splatting simultaneous localization and mapping. - Xiaofei Qin; Haoying Ye; Changxiang He; Xuedian Zhang (Knowl. Based Syst., 2025)