何常香照片

何常香教授硕士生导师；博士生导师

研究方向：图谱理论；图数据分析

邮箱：changxiang-he@163.com　更新时间：2026-08-29

He ChangxiangProfessorMaster's Supervisor; Doctoral Supervisor

Research: Spectral graph theory; graph data analysis

Email: changxiang-he@163.com | Last updated: 2026-08-29

教育背景与工作经历

教育背景

  • 2004.03 – 2007.03，同济大学，数学，博士

工作经历

  • 2023.07 – 2023.08，韩国基础科学研究院，访问学者

  • 2016.01 – 2017.01，荷兰蒂尔堡大学（Tilburg University），访问学者

  • 2007.07 – 2026.03，上海理工大学理学院，历任讲师、副教授、教授

  • 2026.03 – 至今，上海理工大学基础学部数学学院，教授

科研项目

  • 主持国家自然科学基金4项、国家留学基金委项目1项、上海市自然科学基金1项、上海市教委项目2项。近五年主持的项目有：

  • 1. 子图存在与计数的谱刻画及其应用，国家自然科学基金委（面上项目），起止年月2027.01–2030.12。

  • 2. 2025年上海市东方英才计划拔尖项目，上海市人才工作局，起止年月2025.01–2027.12。

  • 3. 图论算法驱动下AI助力抗癌药物联合治疗，上海市人工智能促进科研范式改革赋能学科跃升计划，起止年月2024.01–2025.12。

  • 4. 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2023.01–2026.12。

代表性论著

图论方面

  • 20. Y.H. Zhang, Y. Li, C.X. He (通讯作者), On some critical Ramsey numbers involving paths, Discrete Appl. Math. 384 (2026) 145-153.

  • 19. 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.

  • 18. 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.

  • 17. 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.

  • 16. 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.

  • 15. 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.

  • 14. G. Yang, J.N. Zhou, C.X. He, Y.P. Mao, Distance-edge-monitoring sets of networks, Acta Inform. (2024) 61:183-198.

  • 13. 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.

  • 12. 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.

  • 11. 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.

  • 10. 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.

  • 9. 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.

  • 8. 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.

  • 7. 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.

  • 6. 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.

  • 5. 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.

  • 4. 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.

  • 3. 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.

  • 2. 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.

  • 1. 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.

图数据分析方面

  • 21. W.H. Yu, X.F. Qin, L.C. Zhang, C. X. He(通讯作者), Z.L. Yu, SADGE: a status-aware graph embedding method for link prediction in directed graphs, Applied Intelligence (2026) 56:252.

  • 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).

主讲课程

  • 主讲本科课程《组合数学》、《概率论与数理统计》、《线性代数》，研究生课程《图论及其应用》、《代数图论》、《矩阵论》、《图神经网络》等。

荣誉、学术兼职与社会服务

荣誉与社会服务

  • 入选2025年上海市东方英才计划拔尖项目

学术兼职

  • 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

  • 中国高等教育学会教育数学专业委员会常务理事

Education & Work Experience

Education

  • March 2004 - March 2007, Tongji University, Mathematics, Ph.D.

Work Experience

  • July 2023 - August 2023, Institute for Basic Science, Korea; Visiting Scholar.

  • January 2016 - January 2017, Tilburg University, the Netherlands; Visiting Scholar.

  • July 2007 - March 2026, College of Science, University of Shanghai for Science and Technology; Lecturer, Associate Professor, Professor.

  • March 2026 - present, Professor, School of Mathematics, Faculty of Basic Sciences, University of Shanghai for Science and Technology.

Research Projects

  • Principal investigator for four National Natural Science Foundation of China projects, one China Scholarship Council project, one Shanghai Natural Science Foundation project, and two Shanghai Municipal Education Commission projects. Projects led in the past five years include:

  • 1. Spectral characterization of subgraph existence and counting and its applications, National Natural Science Foundation of China General Program, January 2027 - December 2030.

  • 2. 2025 Shanghai Oriental Talent Program Top Project, Shanghai Talent Work Bureau, January 2025 - December 2027.

  • 3. AI-assisted cancer drug combination therapy driven by graph-theoretic algorithms, Shanghai AI-enabled Research Paradigm Reform Program, January 2024 - December 2025.

  • 4. Spectral theory of signed graphs and signed hypergraphs and its applications, National Natural Science Foundation of China General Program, January 2023 - December 2026.

Selected Publications

  • Graph Theory

  • 20. Y.H. Zhang, Y. Li, C.X. He (corresponding author), On some critical Ramsey numbers involving paths, Discrete Appl. Math. 384 (2026) 145-153.

  • 19. 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.

  • 18. J. H. Zhang, C.X. He (corresponding author), R. Q. Feng, On the least eigenvalue of genuine strongly 3-walk-regular graphs, Appl. Math. Comput. 490 (2025) 129202.

  • 17. Z.Z. Lou, C.X. He(corresponding author), A Max-Min problem on spectral radius and connectedness of Graphs, Electron. J. Combin. 32(2) (2025), #P2.33.

  • 16. Z.M. Zhou, C.X. He (corresponding author), H.Y. Shan, On the sum of the first two largest signless Laplacian eigenvalues of a graph, Discrete Math. 347 (2024) 114035.

  • 15. 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.

  • 14. G. Yang, J.N. Zhou, C.X. He, Y.P. Mao, Distance-edge-monitoring sets of networks, Acta Inform. (2024) 61:183-198.

  • 13. G. Yang, C.X. He (corresponding author), Distance-Edge-Monitoring Sets in Hierarchical and Corona Graphs, Journal of Interconnection Networks 23 (2023) 2: 2250003.

  • 12. L.L. Liu, C.X. He (corresponding author), The maximum principal ratio of graphs, Linear and Multilinear Algebra, 71(2023) 10: 1691-1706.

  • 11. 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.

  • 10. L.L. Liu, H.Y. Shan, C.X. He (corresponding author), A proof of a conjecture on the distance spectral radius and maximum transmission of graphs，Graphs Combin. 38(2022) 49.

  • 9. L.L. Liu, S.M. Hu, C. X. He (corresponding author), Maximum principal ratio of the signless Laplacian of graphs, Linear Algebra Appl. 653 (2022), 339-356.

  • 8. 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.

  • 7. 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.

  • 6. 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.

  • 5. 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.

  • 4. 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.

  • 3. H.Y. Shan, C.X. He（corresponding author）, Z.S. Yu, The energy change of the complete multipartite graph, Electron. J. Linear Algebra, 36 (2020):309-317.

  • 2. 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.

  • 1. 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.

  • Graph Data Analysis

  • 21. W.H. Yu, X.F. Qin, L.C. Zhang, C. X. He(corresponding author), Z.L. Yu, SADGE: a status-aware graph embedding method for link prediction in directed graphs, Applied Intelligence (2026) 56:252.

  • 20. X. Wang, C.X. He(corresponding author), L.C. Zhang, X.F. Qin (corresponding author), 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(corresponding author), 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 (corresponding author)，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（corresponding author）, 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（corresponding author）, 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（corresponding author）, 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).

Courses

  • Undergraduate courses: Combinatorics, Probability Theory and Mathematical Statistics, Linear Algebra. Graduate courses: Graph Theory and Its Applications, Algebraic Graph Theory, Matrix Theory, Graph Neural Networks, etc.

Honors, Academic Service and Social Service

Honors and Service

  • Selected for the 2025 Shanghai Oriental Talent Program Top Project.

Academic Service

  • Standing Committee Member, Graph Theory, Combinatorics and Applications Committee, China Society for Industrial and Applied Mathematics.

  • Standing Council Member, Educational Mathematics Committee, China Association of Higher Education.

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