M³‑GloDets: multi-region and multi-scale analysis of fine‑grained diseased glomerular detection
Tianyu Shi, Xinzi He, Hongjin Fang, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng

• We investigate multi-region and multi-scale strategies for fine-grained diseased glomerular detection in whole-slide renal pathology images.
• Our study systematically evaluates the impact of imaging magnification, patch size, and model design on multi-class glomerular analysis.

AI-Based Identification and Quantification of Global Glomerulosclerosis in Nephrectomy Specimens: Accuracy and Its Predictive Value
Ruining Deng, Tianyu Shi, Steven Salvatore, Surya Seshan, Brian Robinson, Mert Sabuncu, Yihe Yang

• We investigate AI-based quantification of global glomerulosclerosis from whole-slide renal pathology images using automated segmentation models.
• Our study compares AI-derived and pathologist-estimated glomerulosclerosis measurements and explores their associations with longitudinal renal function decline.

CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning
Renyuan Li, Zhibo Liang, Haichuan Zhang, Tianyu Shi, Zhiyuan Cheng, Jia Shi, Carl Yang, Mingjie Tang

Project

• We introduce CloneShield, a universal defense framework against zero-shot voice cloning.
• By generating imperceptible adversarial perturbations in the audio domain, our method protects speaker identity while maintaining natural audio quality, and effectively disrupts cloned speech generation across multiple state-of-the-art TTS systems.