一、个人简介
二、主要学习和工作经历
2007年毕业于同济大学获理学博士
2007年7月至今就职于上海理工大学，历任讲师、副教授、教授
三、主要研究领域
1、图论
2、图数据分析
四、主要社会学术团体兼职
1、中国工业与应用数学学会图论组合及应用专业委员会常务委员
2、中国高等教育学会教育数学专业委员会常务理事
五、个人荣誉
入选2025年上海市东方英才计划拔尖项目
六、主要科研项目与论文
作为负责人主持了国家自然科学基金3项、上海市自然科学基金1项、上海市教委项目2项。目前主持的主要项目：
符号图和符号超图的谱理论及其应用研究, 国家自然科学基金委(面上项目)，起止年月2023.1-2026.12.
近年主要论文：
1、 图论方面
[23] Z. Wei, Z. Z. Lou, C. X. He, Signless Laplacian spectral conditions for extremal quadrilateral and star embeddings, Discrete Appl. Math. 379 (2026) 461-468.
[22] J. H. Zhang, C. X. He (通讯作者), R. Q. Feng, On the least eigenvalue of genuine strongly 3-walk-regular graphs, Appl. Math. Comput. 490 (2025) 129202.
[21] Z. Z. Lou, C. X. He(通讯作者), A Max-Min problem on spectral radius and connectedness of Graphs, Electron. J. Combin. 32(2) (2025), #P2.33.
[20] Z. B. Du, Z. M. Zhou, H. Y. Shan, C. X. He (通讯作者), Corrigendum to “On the sum of the first two largest signless Laplacian eigenvalues of a graph” [Discrete Math. 347 (2024) 114035], Discrete Math. 348 (2025) 114241.
[19] Z. M. Zhou, C. X. He (通讯作者), H. Y. Shan, On the sum of the first two largest signless Laplacian eigenvalues of a graph, Discrete Math. 347 (2024) 114035.
[18] X. J. Zhang, G. Yang, C. X. He, R. Klasing, Y. P. Mao, The number of spanning trees for Sierpinski graphs and data center networks, Inform. and Comput. 300 (2024) 105194.
[17] G. Yang, J. N. Zhou, C. X. He, Y. P. Mao, Distance-edge-monitoring sets of networks, Acta Inform. (2024) 61:183-198.
[16] G. Yang, C. X. He (通讯作者), Distance-Edge-Monitoring Sets in Hierarchical and Corona Graphs, Journal of Interconnection Networks 23 (2023) 2: 2250003.
[15] L. L. Liu, C. X. He (通讯作者), The maximum principal ratio of graphs, Linear and Multilinear Algebra, 71(2023) 10: 1691-1706.
[14] H. Y. Shan, F. F. Wang, C. X. He, Some α -spectral extremal results for some digraphs, Linear and Multilinear Algebra, 70 (2022) 22: 7493-7513.
[13] L. L. Liu, H. Y. Shan, C. X. He (通讯作者), A proof of a conjecture on the distance spectral radius and maximum transmission of graphs，Graphs Combin. 38(2022) 49.
[12] L. L. Liu, S. M. Hu, C. X. He (通讯作者), Maximum principal ratio of the signless Laplacian of graphs, Linear Algebra Appl. 653 (2022), 339-356.
[11] M. Q. Wei, C. X. He, Y. P. Mao, X. Q. Zhou, Gallai-Ramsey numbers for rainbow P5 and monochromatic fans or wheels, Discrete Math. 345 (2022), 11: 113092.
[10] C. X. He, W. Y. Wang, Y. Y. Li, L. L. Liu, Some Nordhaus-Gaddum type results of Aa-eigenvalues of weighted graphs, Appl. Math. Comput. 393 (2021) 125761.
[9] C. X. He, Y. Y. Li, H. Y. Shan, W. Y. Wang, On the index of unbalanced signed bicyclic graphs, Comput. Appl. Math. (2021) 40:124.
[8] C. X. He, S. J. Qian, H. Y. Shan, B. F. Wu, The signature of chordal graphs and cographs, Graphs Combin., 37 (2021) 643-650.
[7] P. K. Zhang, B.F. Wu, C. X. He, Balancedness and spectra of signed graphs obtained by H-join operation, Comput. Appl. Math. 40 (2021) :90.
[6] H. Y. Shan, C. X. He（通讯作者）, Z. S. Yu, The energy change of the complete multipartite graph, Electron. J. Linear Algebra, 36 (2020):309-317.
[5] C. X. He, W.L. Liu, B. F. Wu, Minimum fundamental cycle basis of some bipartite graphs, AKCE Int. J. Graphs Comb. 17(2020):587-591.
[4] L. L. Liu, C. X. He, L. Y. Kang, Saturation number of Berge stars in random hypergraphs, Electron. J. Combin. 27(4) (2020) P4. 45.
[3] C. X. He, H. Y. Shan, The signature of two generalizations of line graphs, Linear Algebra Appl. 575 (2019):159-173.
[2] C. X. He, E. R. van Dam，Laplacian spectral characterization of roses, Linear Algebra Appl. 536 (2018):19-30.
[1] C. X. He, Lin Lei, Haiying Shan, Anni Peng, Two subgraph grafting theorems on the energy of bipartite graphs, Linear Algebra Appl. 515 (2017): 96-110.
2、 图数据分析方面
[20] X. Wang, C. X. He(通讯作者), L. C. Zhang, X. F. Qin(通讯作者), X. D. Zhang, M. Li, M. Ju, Bidirectional distance encoding for graph neural networks, Neurocomputing 28 (2025) 131335.
[19] P. S. Yang, C. X. He(通讯作者), P. Zhang, X. F. Qin, Q. Q. Zhang, D. Li, MHGCN: A Multi-Channel Hybrid Graph Convolutional Neural Network for Cancer Drug Response Prediction, IEEE Transactions on Computational Biology and Bioinformatics 22(2025): 2241-2251.
[18] X. F. Qin, R. Q. Pei, C. X. He，F. Li, X. D. Zhang, Efficient knowledge distillation and alignment for improved KB-VQA, Scientific Reports 15 (2025) 20682.
[17] X. F. Qin, H. Y. Ye, C. X. He，X. D. Zhang, Deblur-aware Gaussian splatting simultaneous localization and mapping, Knowledge-Based Systems 316 (2025) 113366.
[16] C. X. He, D. Li, Y. Li, P. S. Yang, Q. Q. Zhang, W. Zhong, H. Y. Shan, H. Dai, L. N. Chen, Identifying Function Modules from Protein-Protein Interaction Networks, International Journal of Biomathematics,18(3) (2025) 2350104.
[15] X. F. Qin, Y. C. Zhu, L. Wang, X. D. Zhang, C. X. He, Q. L. Dong Rectified self-supervised monocular depth estimation loss for nighttime and dynamic scenes, Engineering Applications of Articial Intelligence 144 (2025) 110026.
[14] X. F. Qin, Y. C. Zhu, L. Wang, X. D. Zhang, C. X. He, Q. L. Dong, Self-supervised monocular depth learning from unknown cameras: Leveraging the power of raw data, Image and Vision Computing 157 (2025) 105505.
[13] X. F. Qin, F. Li, C. X. He, R. Q. Pei, X. D. Zhang, Improving visual grounding with multi-modal interaction and auto-regressive vertex generation, Neurocomputing 598 (2024) 128227.
[12] Q. Q. Zhang, C. X. He (通讯作者)，X. F. Qin, P. S. Yang, J. Y. Kong, Y. P. Mao, D. Li, BiTGNN: Prediction of drug-target interactions based on bidirectional transformer and graph neural network on heterogeneous graph, International Journal of Biomathematics, (2024) 2450025.
[11] X. F. Qin, W. K. Hu, X. Chen, C. X. He, S. W. Pei, X. D. Zhang, Attention-based efficient robot grasp detection network, Frontiers of Information Technology & Electronic Engineering 24(2023) 1430-1444.
[10] W. Zhong，C. X. He（通讯作者）, C. Xiao, Y. R. Liu, X. F. Qin, Z.S. Yu, Long distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction，BMC Bioinformatics (2022) 23:521.
[9] C. X. He（通讯作者）, Y. R. Liu, H. Li, H. Zhang, Y. P. Mao, X. F. Qin, L. L. Liu, X. D. Zhang, Multi type feature fusion based on graph neural network for drug drug interaction prediction, BMC Bioinformatics (2022) 23:224.
[8] C. X. He（通讯作者）, J. Y. Zeng, Y. Li, S. T. Liu, L. L. Liu, X. Chen, Two-stream signed directed graph convolutional network for link prediction. Phys. A 605 (2022), 13 pp.
[7] X. F. Qin, H. Li, Y. R. Liu, J. B. Yu, C. X. He, X. D. Zhang, Multi-stage part-aware graph convolutional network for skeleton-based action recognition, IET Image Process. (2022)16: 2063-2074.
[6] X. F. Qin, H. Y. Guo, C. X. He, X. D. Zhang, Lightweight human pose estimation: CVC-net, Multimedia Tools and Applications (2022) 81:17615-17637.
[5] X. F. Qin, R. Cai, J. B. Yu, C. X. He, X. D. Zhang, An effcient self attention network for skeleton based action recognition, Scientific Reports (2022) 12:4111.
[4] C. X. He, J. Y. Zeng, G. Zhang, S. T. Liu, Generalized opinion dynamics model for social trust networks, Journal of Combinatorial Optimization (2022) 44:3641-3662.
[3] C. X. He, S. T. Liu, X. F. Qin, X. D. Zhang, Structure aware multi-scale hierachical graph convolutional network for skeleton action recognition, 30th International Conference on Artificial Neural Networks (ICANN) 2021.
[2] C. X. He, C. Xiao, S. T. Liu, X. F. Qin, Y. Zhao, X. D. Zhang, Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition. ICONIP 2021, LNCS 13109, pp. 15-27. (Oral).
[1] X. F. Qin, M. M. Xu, C. Y. Zheng, C. X. He, X. D. Zhang, Multi-scale Feedback Feature Refinement U-Net for Medical Image Segmentation IEEE International Conference on Multimedia and Expo (ICME) 2021 (Oral).
