Scholar
Hanchen David Wang
Google Scholar ID: ZAi6VHsAAAAJ
Vanderbilt University
Citations & Impact
Citations
27
H-index
3
i10-index
1
Publications
6
Co-authors
11
list available
Publications
Resume (English only)
Research Experience
- Jul 2024 – Present: Explainable AI for First-Person Video Segmentation in Nursing Simulations (with Daniel Levin, Gautam Biswas, Alyssa White, advised by Meiyi Ma); developed an unsupervised segmentation method for long videos and linked gaze dynamics to task performance via interpretable models.
- Feb 2024 – Present: IMU-Guided Segmentation and Sampling for Video Classification (with Meiyi Ma); enhanced Temporal Segment Networks using motion-based frame selection.
- Jan 2024 – Oct 2024: Continual Multitask Learning (with Meiyi Ma); developed a replay-buffer-free continual multitask learning framework.
- Sep 2023 – May 2024: Star-based Reachability Verification for Targeted and Robust XAI (with Meiyi Ma, Taylor Johnson, Diego Manzanas Lopez); used Neural Network Verification (NNV) to evaluate sampling-based attribution methods and ensure deterministic, targeted explainability.
- May 2023 – Jun 2024: EXACT: A Meta-Learning Framework for Precise Exercise Segmentation in Physical Therapy (with Meiyi Ma); implemented a U-Net with temporal positional encoding in PyTorch for multivariate time series segmentation.
- Aug 2022 – May 2023: MicroXercise: A Micro-Level Comparative and Explainable System for Remote Physical Therapy (with Meiyi Ma, Pamela Wisniewski); integrated Siamese Neural Networks with saliency maps and layer-wise relevance propagation for cross-modal interpretability.
