Research Highlights

Publications 

Selected Publications 

First or Corresponding-Author Publications (* denote corresponding)

1. Jin, M. H., Dhamija, S.,  Park, S., Cheng, H. M.*, and Son, M. J.* (2025). Transfer-Learning Enhanced Adaptive Sampling for Accelerating Ultrafast Spectroscopy. Accepted by The Journal of Chemical Physics.  

2. Cheng, H. M., Yu, X. W., Wu, S. S., Fang, L. Y., Cao, C., Zhang, J., Liu, T. M., Zhu, D. J., Zhong, W. X., Ma, P. (2025). DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging. AAAI.

3. Wang, Y. Y., Cheng Y. H., Mukherjee, D.*, Cheng, H. M.* (2025). Transfer Learning on Edge Connecting Probability Estimation Under Graphon  Model. NeurIPS.  (Top Machine Learning Conference).

4. Guo, Y. C., Liu, S. J.*, Cheng, H. M.*, Ma, Y.* (2025).   JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics. NeurIPS.  (Top Machine Learning Conference). 

5. Deng, J. Y., Yang, X. D., Yu, J.,  Liu, S. J.,  Shen, Z. M., Huang, D. Y., Cheng, H. M.* (2024). Network Tight Community Detection.  International Conference on Machine Learning (ICML). (Top Machine Learning Conference).

6. Cheng, H. M., Yu, J., Wang, Z., Ma, P., Guo, C. L., Wang, B., Zhong, W. X., and Xu, B. Q. (2021). Details of Single-molecule Force Spectroscopy Data Decoded by Network-based Automatic Clustering Algorithm. Journal of Physical Chemistry Part B (Ranked A+ in the area of Physical Chemistry),  125(34), 9660-9667. (Our work is featured on the cover).

7. Cheng, H. M., Wang, Y., Ma, P., and Murdie, A. (2021). Communities and Brokers: How the Transnational Advocacy Network Simultaneously Provides Social Power and Exacerbates Global Inequalities. International Studies Quarterly (Ranked A+ in the area of Political Science, acceptance rate 10%), 65(3), 724–738.

8. Wu, Z. Q., Cheng, H. M., Shan, F., Ying, X. J., Miao, R. l., Zhang, Z. Y., Li, Z. Y., and Ji, J. F. (2019). In-hospital Mortality Risk Model of Gastric Cancer Surgery: Analysis of a Nationwide Institutional-level Database With 94,277 Chinese Patients. Frontiers in Oncology (IF 5.738, ranked Q1 in the area of Oncology), 9, 846. (Joint first author)

9. Cheng, H. M., Li, S. Y., Ning, Y. Z., Chen, X., Pan, R., and Zhang, Z. Y. (2019). Analysis on Utilization of Beijing Local Roads Using Taxi Gps Data. Physica A: Statistical Mechanics and its Applications (Top 11 in the area of Statistical and Nonlinear Physics), 545, 123570.

10. Cheng, H. M., Ning, Y. Z., Yin, Z., Yan, C., Liu, X., and Zhang, Z. Y. (2018). Community Detection in Complex Networks Using Link Prediction. Modern Physics Letters B, 32(1), 1850004.

Second Author Publications

11. Cai, J. Z., Cheng, H. M., Wu, S. S., Zhong, W. X., Yuan, G. C., and Ma, P. (2024). WEST: An ensemble method for spatial transcriptomics analysis. Cell Reports Methods,4(11).

12. Wu, S. S., Cheng, H. M., Cai, J. Z., Ma, P., and Zhong, W. X. (2023). Subsampling for Large Graphs Using Ricci Curvature. International Conference on Learning Representations (ICLR). (Top Machine Learning Conference).

13. Yu, J., Cheng, H. M., Zhang, J. N., Zhong, W. X., Ye, J., Song, W. Z., and Ma, P. (2022). CONGO2: Colored-node Graph Square Model for Anomaly Detection and Localization in Smart Grids. IEEE Internet of Things Journal (IF 9.936, top 3 in the area of Signal Processing).

14. Liu, X, Cheng, H. M., and Zhang, Z. Y. (2019). Evaluation of Community Detection Methods. IEEE Transactions on Knowledge and Data Engineering (IF 9.235), 32(9), 1736-1746.

15. You, T., Cheng, H. M., Ning, Y. Z., Shia, B. C., and Zhang, Z. Y. (2016). Community Detection in Complex Networks Using Density-based Clustering Algorithm and Manifold Learning. Physica A: Statistical Mechanics and its Applications, 464, 221-230.

Preprint

1. Tang, L., Zhang, X. H.,  Zhang, X. Z.,  Yu, X. W., and Cheng, H. M.* (2025). Statistical Network Analysis for LLMs via Knowledge Graphs. Preprint.  

2. Chen, J. C., Huang, D. Y.,  Wang, L. Y., Lunetta, L. K, Joanne M. M., Gina P., Mukherjee, D.*, Cheng, H. M.* (2025). Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification.  Revisions under IEEE Transactions on Neural Networks and Learning Systems.