48 citations
- Samsung (United States)US19 papers
- Yahoo (United States)US6 papers
- Data61AU2 papers
- Duke UniversityUS2 papers
- Northwestern UniversityUS2 papers
- The Ohio State UniversityUS2 papers
- University of Technology SydneyAU2 papers
- Albany State UniversityUS1 paper
- Arizona State UniversityUS1 paper
- Beihang UniversityCN1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- DEVCOM Army Research LaboratoryUS1 paper
30 papers
Resonant states and nuclear dynamics in solid-state systems: the case of silicon-hydrogen bond dissociation
Woncheol Lee, Mark E. Turiansky, Dominic Waldhör +3
Bond breaking in the presence of highly energetic carriers is central to many important phenomena in physics and chemistry, including radiation damage, hot-carrier degradation, act…
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
Fabrizio Carpi, Soheil Rostami, Joonyoung Cho +3
High peak-to-average power ratio (PAPR) is one of the main factors limiting cell coverage for cellular systems, especially in the uplink direction. Discrete Fourier transform sprea…
Joint Phase-Time Arrays: A Paradigm for Frequency-Dependent Analog Beamforming in 6G
Vishnu V. Ratnam, Jianhua Mo, Ahmad AlAmmouri +4
Hybrid beamforming is an attractive solution to build cost-effective and energy-efficient transceivers for millimeter-wave and terahertz systems. However, conventional hybrid beamf…
Towards Intelligent Network Management: Leveraging AI for Network Service Detection
Khuong N. Nguyen, Abhishek Sehgal, Yuming Zhu +5
As the complexity and scale of modern computer networks continue to increase, there has emerged an urgent need for precise traffic analysis, which plays a pivotal role in cutting-e…
Optimal preprocessing of WiFi CSI for sensing applications
Vishnu V. Ratnam, Hao Chen, Hao Hsuan Chang +3
Due to its ubiquitous and contact-free nature, the use of WiFi infrastructure for performing sensing tasks has tremendous potential. However, the channel state information (CSI) me…
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Graph representation learning models have demonstrated great capability in many real-world applications. Nevertheless, prior research indicates that these models can learn biased r…