Publications

To see more of my publications, visit my Google Scholar.

2026

journal

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization

C. Wall, L. Wang, R. Rizk, and K. C. Santosh

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026

journal

Expert-Guided Explainable Few-Shot Learning with Active Sample Selection for Medical Image Analysis

L. Wang, I. I. Uddin, and K. C. Santosh

IEEE Journal of Biomedical and Health Informatics, 2026

journal

MBD-Planner: A Real-Time Obstacle Avoidance Framework for UAVs via Feature-Domain Motion Blur Decoupling

S. Peng, R. Wang, Y. Liang, and L. Wang

IEEE Robotics and Automation Letters, 2026

conference

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning

C. Zhang, X. Luo, Z. Zhang, Y. Zhu, J. Qiang, and L. Wang

Proceedings of the ACM Web Conference (WWW), 2026

conference

Channel-Selected Stratified Nested Cross-Validation for Clinically Relevant EEG-Based Parkinson's Disease Detection

N. R. Rasmussen, R. Rizk, L. Wang, A. Singh, and K. C. Santosh

IEEE Conference on Artificial Intelligence (CAI), 2026

preprint

AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation

D. M. Mei, K. Acharya, C. M. Adhikari, M. Adhikari, S. Aryal, B. V. Benson, et al.

arXiv preprint, 2026

2025

conference

Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness

L. Wang, I. I. Uddin, C. Zhang, X. Qin, and Y. Zhou

Advances in Neural Information Processing Systems (NeurIPS), 2025

conference

Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks

L. Wang, M. N. Nayyem, A. Al Rakin, K. C. Santosh, C. Zhang, and Y. Zhou

IEEE International Conference on Data Mining (ICDM), 2025

conference

Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness

R. N. Ranabhat, L. Wang, A. K. Patel, and K. C. Santosh

International Conference on Intelligent Systems and Pattern Recognition (ISPR), 2025

conference

Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis

I. I. Uddin, L. Wang, and K. C. Santosh

MICCAI Workshop on Data Engineering in Medical Imaging, 2025

conference

Multi-Scale Unrectified Push-Pull with Channel Attention for Enhanced Corruption Robustness

R. N. Ranabhat, L. Wang, X. Qin, Y. Zhou, and K. C. Santosh

Proceedings of the AAAI Symposium Series, 2025

conference

Explainability-Driven Defense: Grad-CAM-Guided Model Refinement Against Adversarial Threats

L. Wang, I. I. Uddin, X. Qin, Y. Zhou, and K. C. Santosh

Proceedings of the AAAI Symposium Series, 2025

conference

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence

K. C. Santosh, R. Rizk, and L. Wang

IEEE International Conference on Cognitive Machine Intelligence (CogMI), 2025

preprint

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention for Small-Scale Vision

P. Khadka, R. Rizk, L. Wang, and K. C. Santosh

arXiv preprint, 2025

preprint

Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring

N. R. Rasmussen, R. Rizk, L. Wang, and K. C. Santosh

arXiv preprint, 2025

2024

conference

Enhanced Robustness by Symmetry Enforcement

L. Wang, A. Ghimire, K. C. Santosh, Z. Zhang, and X. Li

IEEE Conference on Artificial Intelligence (CAI), 2024

conference

Shape-Aware Thoracic Edge Map Chest X-Ray Representation for Pulmonary Abnormality Screening

S. Chataut, A. Ghimire, A. Thakur, L. Wang, and K. C. Santosh

International Conference on Data Analytics & Learning, 2024