509 citations
- Institute of Physics, Academia SinicaTW12 papers
- National Tsing Hua UniversityTW11 papers
- National Taiwan UniversityTW10 papers
- Chalmers University of TechnologySE7 papers
- City University of Hong KongHK7 papers
- National Center for Theoretical SciencesTW7 papers
- National Cheng Kung UniversityTW7 papers
- National Yang Ming Chiao Tung UniversityTW7 papers
- Institute of Mathematics, Academia SinicaTW6 papers
- Academia SinicaTW5 papers
- National Formosa UniversityTW5 papers
- Flatiron Health (United States)US4 papers
151 papers
Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks
Chuan-Chi Lai, Ang-Hsun Tsai
This letter proposes the Predictive Lightweight Multi-Agent Reinforcement Learning (PL-MARL) framework to ensure resilient coverage in bandwidth-constrained UAV swarms. To counter…
Totoro: An Adaptive and Scalable Edge Federated Learning System
Cheng-Wei Ching, Xin Chen, Taehwan Kim +3
Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totor…
Teachers' Vocal Expressions and Student Engagement in Asynchronous Video Learning
Hung-Yue Suen, Yu-Sheng Su
Asynchronous video learning, including massive open online courses (MOOCs), offers flexibility but often lacks students' affective engagement. This study examines how teachers' ver…
Artificial Intelligence can Recognize Whether a Job Applicant is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers
Hung-Yue Suen, Kuo-En Hung, Che-Wei Liu +2
Whether an interviewee's honest and deceptive responses can be detected by facial expression signals in videos has been debated and requires further research. We developed deep lea…
Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation
Peggy Joy Lu, Wei-Yu Chen, Yao-Tsung Huang +1
We propose HeroCrystal, a novel privacy-preserving framework for multi-camera domain-adaptive object detection, addressing challenges such as data privacy, class imbalance, and het…
Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space
Samuele Giuli, Hasanat Hasan, Benedikt Kloss +5
Simulations of quantum matter rely mainly on Kohn-Sham density functional theory (DFT), which often fails for strongly correlated systems. Quantum embedding (QE) theories address t…