Publications & Manuscripts

First- and Co-first-author Work

2026

Fisher Contrastive Learning to Mitigate Feature Suppression: A Case Study in Acute Promyelocytic Leukemia Diagnosis.
Wu, Shushan, Chen, Yongkai, Zhong, Wenxuan, and Ma, Ping.
ASA Student Paper Award (Statistical Computing and Statistical Graphics Sections) 2025

AsST: an active sample selection algorithm for budget-constrained spatial transcriptomics profiling.
Wu, Shushan, Luo, Chunyu, Peng, Yihao, Li, Yun, Zhu, Hongtu, Zhang, Daiwei.

SQGNN: Zero-Inflated Quantile Graph Neural Networks for Uncertainty-Aware Virtual Spatial Transcriptomics from Histology.
Wu, Shushan, Zhang, Daiwei, Zhu, Hongtu.

2025

Personalized risk score prediction and testing policy adaptations of a COVID-19 population-based contact tracing network.
Wu, Shushan, Feng, Yan, Cheng, Huimin, Huang, Hui, Li, Yang, Ling, Feng, Ma, Ping, Zhong, Wenxuan, and Shen, Ye. (2025).
Epidemiology and Infection, 153, e90.  ·  Paper

Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation.
Wu, Shushan, Yang, Bowen, Yang, He, Coshatt, Stephen J., Gong, Xilin, Parasuraman, Ramviyas Nattanmai, Conrad, Justin, Perdisci, Roberto, Zhong, Wenxuan, Ye, Jin, Ma, Ping, and Song, Wenzhan. (2025).
IEEE Internet of Things Journal, 12(6), 6457–6464.  ·  Paper

Domain-adaptive Anomaly Detection and Severity Prediction of Electric Machine Drives at the Point of Common Coupling.
Najar, Abolfazl*, Wu, Shushan*, Yang, He, Wang, Tao, Ye, Jin, Zhong, Wenxuan, Ma, Ping, and Song, Wenzhan.
Preprint.  ·  Submitted to IEEE Transactions on Industrial Cyber-Physical Systems.  ·  Preprint

2024

Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches.
Wu, Shushan, Fang, Luyang, Zhang, Jinan, Sriram, T. N., Coshatt, Stephen J., Zahiri, Feraidoon, Mantooth, Alan, Ye, Jin, Zhong, Wenxuan, Ma, Ping, and Song, Wenzhan. (2024).
IEEE Transactions on Smart Grid, 15(2), 2214–2225.  ·  Paper

2023

Subsampling in Large Graphs Using Ricci Curvature.
Wu, Shushan, Cheng, Huimin, Cai, Jiazhang, Ma, Ping, and Zhong, Wenxuan. (2023).
International Conference on Learning Representations (ICLR).  ·  Paper  ·  Slides  ·  Code

Interpretation of Time-Series Deep Models: A Survey.
Zhao, Ziqi*, Shi, Yucheng*, Wu, Shushan*, Yang, Fan, Song, Wenzhan, and Liu, Ninghao.
Preprint.  ·  Submitted to IEEE Communications Surveys and Tutorials. (* These authors contributed equally to this paper).  ·  arXiv

Collaborative Work

2026

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation.
Zhang, Yishu, Wu, Shushan, Zhang, Zhenzhong, Li, Didong, Yao, Huaxiu, Li, Yun, Carmichael, Iain, Hoadley, Katherine A., Zhu, Hongtu, Wu, Di, and Zhang, Daiwei. (2026).
CVPR 2026 Findings Track.  ·  Paper

DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.
Cheng, Huimin, Yu, Xiaowei, Wu, Shushan, Fang, Luyang, Cao, Chao, Zhang, Jing, Liu, Tianming, Zhu, Dajiang, Zhong, Wenxuan, and Ma, Ping. (2026).
Proceedings of the AAAI Conference on Artificial Intelligence, 40(5), 3228–3236.  ·  Paper

Exploring Latent Constructs through Multimodal Data Analysis.
Wang, Shiyu, Wu, Shushan, Chen, Yinghan, Fang, Luyang, Xiao, Liang, and Li, Feiming. (2026).
Journal of Educational Measurement, 63(1), e12412.  ·  Paper

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions.
Fang, Luyang, Yu, Xiaowei, Cai, Jiazhang, Chen, Yongkai, Wu, Shushan, …, and Ma, Ping. (2026).
Artificial Intelligence Review, 59, 17.  ·  Paper

Dataset Distillation from a Statistical Perspective: Methods, Theory, and Connections to Large Language Models.
Cheng, Huimin, Fang, Luyang, Chen, Yongkai, Yu, Xiaowei, Tang, Lin, Cai, Jiazhang, Wu, Shushan, Xue, Dunyao, Li, Mengyu, Meng, Cheng, Liu, Tianming, Zhu, Dajiang, Zhong, Wenxuan, and Ma, Ping.
Under major revision. · Journal of the American Statistical Association (Review Section). · Paper

Graphon Convolutional Network: A Highly Efficient Learner for Random Graph.
Cheng, Huimin, Wu, Shushan, Yu, Jun, Lu, Haoran, and Zhong, Wenxuan.

2025

Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association.
Chen, Yongkai, Wu, Shushan, Ma, Ping, and Zhong, Wenxuan. (2025).
Journal of Computational and Graphical Statistics, 34(4), 1331–1343.  ·  Paper

Protocol to boost the robustness and accuracy of spatial transcriptomics algorithms using ensemble techniques.
Cai, Jiazhang, Wu, Shushan, Cheng, Huimin, Zhong, Wenxuan, Yuan, Guo-Cheng, and Ma, Ping. (2025).
STAR Protocols, 6(1), 103608.  ·  Paper

S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via Echocardiogram.
Gong, Xilin, Chen, Yongkai, Wu, Shushan, Wang, Fang, Ma, Ping, Zhong, Wenxuan.
Preprint.  ·  arXiv

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
Lu, Haoran, Fang, Luyang, …, Wu, Shushan, …, and Ma, Ping.
Preprint.  ·  arXiv preprint arXiv:2507.19672.  ·  Paper

2024

WEST: An Ensemble Method for Spatial Transcriptomics Analysis.
Cai, Jiazhang, Cheng, Huimin, Wu, Shushan, Zhong, Wenxuan, Yuan, Guo-Cheng, and Ma, Ping. (2024).
Cell Reports Methods, 4(11), 100886.  ·  Paper

Enhanced Cyber-Attack Detection in Intelligent Motor Drives: A Transfer Learning Approach with Convolutional Neural Networks.
Yang, Bowen, Wu, Shushan, Hu, Kun, Ye, Jin, Song, Wenzhan, Ma, Ping, Shi, Jianjun, and Liu, Peng. (2024).
IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(2), 710–719.  ·  Paper

2023

Social Mixing and Network Characteristics of COVID-19 Patients Before and After Widespread Interventions: A Population-based Study.
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. (2023).
Epidemiology and Infection, 151, e141.  ·  Paper

2022

Design of Cyber-Physical Security Testbed for Multi-Stage Manufacturing System.
Coshatt, Stephen J., Li, Qi, Yang, Bowen, Wu, Shushan, Shrivastava, Darpan, Ye, Jin, Song, Wenzhan, and Zahiri, Feraidoon. (2022).
2022 IEEE Global Communications Conference, 1978–1983.  ·  Paper

CONGO2: Colored-node Graph Square Model for Anomaly Detection and Localization in Smart Grids.
Yu, Jun, Cheng, Huimin, Zhang, Jinan, Li, Qi, Wu, Shushan, Zhong, Wenxuan, Ye, Jin, Song, Wenzhan, and Ma, Ping. (2022).
IEEE Internet of Things Journal, 9(15), 13862–13875.  ·  Paper