Scholar
Ruozhou Yu
Google Scholar ID: WbFCWFsAAAAJ
Assistant Professor @ NCSU
Citations & Impact
Citations
1,148
H-index
17
i10-index
31
Publications
20
Co-authors
38
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 'Integrated sensing and multi-modal communications' accepted by IEEE Journal on Selected Areas in Communications (JSAC)
- - 'Cost-aware high-fidelity entanglement distribution' accepted by IEEE/ACM Transactions on Networking (TON)
- - 'Quantum satellite constellation design' accepted by IEEE MASS 2025
- - 'Efficient language model fine-tuning on graphs' accepted by ACM KDD 2025
- - 'Broadband satellite resource reservation' accepted by IEEE ICDCS 2025
- - 'Learning-based packet compression' accepted by IEEE WoWMoM 2025
- - Two papers on 'CPS functional-timing safety verification' accepted by ACM HSCC 2025 and IEEE RTAS 2025 respectively
- - 'Cost-efficient quantum networking' accepted by IEEE QCNC 2025
- - 'ML model adaptation for Earth observation satellites' accepted by IEEE PerCom 2025
- Student Awards:
- - Xiaojian Wang received the 2025 CSC Graduate Student Leadership Award
- - Huayue received the 2025 CSC Outstanding Research Award
- - Fangtong Zhou successfully defended her PhD thesis
- - Zhouyu obtained an internship position at Meta
- Personal Honors:
- - Elected as a Distinguished TPC Member for IEEE QCNC 2025
Research Experience
- Assistant Professor at NCSU; PhD student at Arizona State University; Research Assistant Intern at Tsinghua University.
Education
- PhD in Computer Science from Arizona State University in 2019, supervised by Dr. Guoliang Xue; BS in Computer Science from Beijing University of Posts and Telecommunications in 2013; Research Assistant Intern at Tsinghua University from 2012 to 2013, supervised by Dr. Dan Li.
Background
- Assistant Professor in the Computer Science Department and the Electrical and Computer Engineering Department (by courtesy) at NCSU. Research interests include quantum networks, Internet-of-Things, edge computing, network security, machine learning, and blockchain.
Miscellany
- Actively looking for self-motivated PhD students to conduct research.
