• Wu, Shushan, Cheng, Huimin, Cai, Jiazhang, Ma, Ping, and Zhong, Wenxuan (2023). Subsampling for Large Graphs Using Ricci Curvature. 2023 International Conference on Learning Representations (ICLR) (Top machine learning conference). Paper: https://openreview.net/pdf?id=w9WUQkBvpI Slides: https://iclr.cc/media/iclr-2023/Slides/10973.pdf  Code: https://github.com/SavannahWu99/Graph-Subsampling 

• Wu, Shushan, Fang Luyang, Zhang, Jinan, Sriram, T. N., Coshatt, J. Stephen, Zahiri, Feraidoon, Mantooth, Alan, Ye, Jin, Zhong, Wenxuan, Ma, Ping, and Song, Wenzhan. (2023). Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches. IEEE Transactions on Smart Grid (IF 10.275. Top 1 journal in Power Engineering). DOI: 10.1109/TSG.2023.3325276

• Wu, Shushan, Yang, Bowen, Coshatt, J. Stephen, Yang, He, Zhong, Wenxuan, Ye, Jin, Ma, Ping, and Song, Wenzhan. (2024). Online Adaptively Anomaly Detection in Networked Electrical Machines by Enveloped Singular Spectrum Transformation. IEEE Internet of Things Journal (IF 10.238. Top 3 journal in Signal Processing). DOI: 10.1109/JIOT.2024.3476268

• Wu, Shushan, Feng, Yan, Cheng, Huimin, Huang, Hui, Li, Yang, Ma, Ping, Zhong, Wenxuan, and Shen, Ye. (2024). Personalized Infection Risk Score Prediction Based on a COVID-19 Population-based Contact Tracing Network. Accepted by Epidemiology & Infection

• Wang, Shiyu, Wu, Shushan, Chen, Yinhan, Fang, Luyang, Xiao, Liang, and Li, Feiming (2023). Exploring Latent Constructs through Multimodal Data Analysis. Special issue of Journal of Educational Measurement: Challenges and Potential Solutions of Measurement in the Era of Educational Big Data.   DOI: 10.1111/jedm.12412 

• Chen, Yongkai, Wu, Shushan, Zhong, Wenxuan, and Ma, Ping. (2024) Fluid Correlation: A Novel Way to Assess the Dynamic Association. Accepted by the Journal of Computational and Graphical Statistics

• Yang, Bowen, Wu, Shushan, Hu, Kun, Ye, Jin, Song, Wenzhan, Ma, Ping, Shi, Jianjun, and Liu, Peng. (2023). Enhanced Cyber-Attack Detection in Intelligent Motor Drives: A Transfer Learning Approach with Convolutional Neural Networks. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. DOI: 10.1109/JESTIE.2023.3346802

• Cai, Jiazhang, Wu, Shushan, Cheng, Huimin, Zhong, Wenxuan, Yuan, Guocheng, and Ma, Ping. (2024). Protocol for WEST: An Ensemble Method for Spatial Transcriptomics Analysis. Accepted by Star Protocol

• Cai, Jiazhang, Cheng, Huimin, Wu, Shushan, Zhong, Wenxuan, Yuan, Guocheng, and Ma, Ping. (2024). WEST: An Ensemble Method for Spatial Transcriptomics Analysis. Cell Reports Methods. https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(24)00269-8 

• Yu, Jun, Cheng, Huimin, Zhang, Jinan, Li, Qi, Wu, Shushan, Zhong, Wenxuan, Ye, Jin, Song, Wenzhan, and Ma, Ping. (2022). CONGO2: Colored-node Graph Square Model for Anomaly Detection and Localization in Smart Grids. IEEE Internet of Things Journal (IF 10.238. Top 3 journal in Signal Processing). DOI: 10.1109/JIOT.2022.3143123

• Coshatt, J. Stephen, Li, Qi, Yang, Bowen, Wu, Shushan, Shrivastava, Darpan, Ye, Jin, Song, Wenzhan, and Zahiri, Feraidoon. (2022). Design of Cyber-Physical Security Testbed for Multi-Stage Manufacturing System. 2022 IEEE Global Communications Conference (One of two flagship conferences in the area of Communication). 

DOI: 10.1109/GLOBECOM48099.2022.10000849

• He, Yuncong, Martinez, Leonardo, Ge, Yang, Feng, Yan, Chen, Yewen, Tan, Jianbin, Westbrook, Adrianna, Li, Changwei, Cheng, Wei, Ling, Feng, Cheng, Huimin, Wu, Shushan, Zhong, Wenxuan, Handel, Andreas, Huang, Hui, Sun, Jimin, and Shen, Ye. (2022). Social Mixing and Network Characteristics of COVID-19 Patients Before and After Widespread Interventions: A Population-based Study. Epidemiology and Infection. DOI: 10.1017/S0950268823001292

Articles Submitted

• Wu, Shushan, Liu, Yufang, Gong, Xilin, Zhong, Wenxuan, and Ma, Ping. (2024). Fisher Contrastive Learning: A Robust Solution to the Feature Suppression Effect. Submitted to NeurIPS.  

ASA Student Paper Award (Statistical Computing and Statistical Graphics Sections) 2025

• Cheng, Huimin, Wu, Shushan, Yu, Jun, Lu, Haoran, and Zhong, Wenxuan. (2023). Graphon Convolutional Network: A Highly Efficient Learner for Random Graph. Submitted to Journal of the American Statistical Association

• Zhao, Ziqi, Shi, Yucheng, Wu, Shushan, Yang, Fan, Song, Wenzhan, and Liu, Ninghao. (2023) Interpretation of Time-Series Deep Models: A Survey. Submitted to IEEE Communications Surveys & Tutorials