Tianyu Bell Pan

Research

Selected Work

  1. Pan, T., Woodard, D. (2026). GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models. [Link] 
  2. Pan, T., Wormald, S., Woodard, D. (2026). From Kakeya to Kernels: A Multi-Scale Geometric Framework for Robust Representation Learning. [Link]
  3. Wormald, S., Pan, T., Woodard, D., Forte, D. (2026). Exploring weightless neural networks: From logic gates to convolutional lookup tables. [Link]
  4. Pan, T., Dizon-Paradis, O., Woodard, D. (2026). Multimodal Co-Training with Subtractive Unlabeled-Benefit Bounds. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026).
  5. Pan, T., Yang, Q., Cole, A.J., Wilson, R., Woodard, D. (2026). Psychology of Phishing Emails: Quantifying Persuasion Principles and Simulating Detection with Large Language Models. Expert Systems in Applications. [Link]
  6. Jia, S., Pan, T., Shan, G. (2025, August). Insiders Take Longer, Retail Hits Harder: Organizational Predictors of Data Breach Outcomes. In Proceedings of 59th Annual Hawaii International Conference on System Science (HICSS). [Link]
  7. Yang, Q., Pan, T., Cole, A.J., Wilson, R., Woodard, D. (2025). Accuracy, Feature Interpretability, and Usability of LLMs in Phishing Email Detection. Available at SSRN. [Link]
  8. Pan, T., Zhu, M., Cole, A.J., Wilson, R., Woodard, D. (2025). Lyapunov-Stable Adaptive Control for Multimodal Concept Drift. 39th Conference on Neural Information Processing Systems (NeurIPS 2025). [Link][Link]
  9. Pan, T., Woodard, D. (2025, August). Efficient Generalization via Multimodal Co-Training under Data Scarcity and Distribution Shift. The 42nd ICML Conference Affinity Workshop New In ML. [Link][Link]
  10. Swarup, A., Bhandarkar, A., Wilson, R., Pan, T., & Woodard, D. (2025, August). From Syntax to Semantics: Evaluating the Impact of Linguistic Structures on LLM-Based Information Extraction. In Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025) (pp. 36-48). [Link]
  11. Swarup, A., Pan, T., Wilson, R., Bhandarkar, A., & Woodard, D. (2025, January). LLM4RE: A Data-centric Feasibility Study for Relation Extraction. In Proceedings of the 31st International Conference on Computational Linguistics (pp. 6670-6691). [Link]

Disclosed Patents

  1. Lyapunov-Stable Control for Multimodal Learning System Adaptation to Concept Drift. (Status: Provisional).
  2. MACO: Multimodal Agreement-Aware Co-Training with Dual-Threshold Pseudo-Labeling, Geometric Convergence, and Generalization Guarantees. (Status: Provisional).
  3. Multimodal Retrieval-Augmented Generation System for Creative Production (MuseRAG): Cross-Modal Indexing, Generative Retrieval/Re-Ranking, and Attributed Output. (Status: Provisional).
  4. Cognitive Embedded Real-Time Evaluation and Behavioral-Recognition Observer (CEREBRO): A Multimodal Remote Side-Channel Monitoring System with On-Device AI Inference, Secure Communication, Adaptive Sampling, and Lyapunov-Stable Adaptive Fusion Control for Real-Time Attack Detection, Predictive Maintenance, and Dynamic Threat Response. (Status: Provisional).

A full publication list can be found on Google Scholar.