Yilun Du
· Assistant Professor of Computer ScienceHarvard University · Computer Science
Active 2006–2026
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About
Yilun Du is an Assistant Professor of Computer Science at Harvard John A. Paulson School of Engineering and Applied Sciences. His research areas include applied mathematics, machine learning, bioengineering, bioinspired robotics and computing, biomechanics and motor control, graphics, vision, and visualization, as well as robotics and control. He is based at the Harvard SEAS campus located at 150 Western Ave, Allston, MA, and can be contacted via email at ydu@seas.harvard.edu. His work focuses on advancing understanding and innovation in these interdisciplinary fields, contributing to both theoretical foundations and practical applications in engineering and computer science.
Research topics
- Computational biology
- Pathology
- Biology
Selected publications
LightGuard: Transparent WiFi Security via Physical-Layer LiFi Key Bootstrapping
arXiv (Cornell University) · 2026-04-01
preprintOpen accessWiFi is inherently vulnerable to eavesdropping because RF signals may penetrate many physical boundaries, such as walls and floors. LiFi, by contrast, is an optical method confined to line-of-sight and blocked by opaque surfaces. We present LightGuard, a dual-link architecture built on this insight: cryptographic key establishment can be offloaded from WiFi to a physically confined LiFi channel to mitigate the risk of key exposure over RF. LightGuard derives session keys over a LiFi link and ins…
A Hybrid TDMA/CSMA Protocol for Time-Sensitive Traffic in Robot Applications
ArXiv.org · 2025-09-07
preprintOpen accessRecent progress in robotics has underscored the demand for real-time control in applications such as manufacturing, healthcare, and autonomous systems, where the timely delivery of mission-critical commands under heterogeneous robotic traffic is paramount for operational efficacy and safety. In these scenarios, mission-critical traffic follows a strict deadline-constrained communication pattern: commands must arrive within defined QoS deadlines, otherwise late arrivals can degrade performance or…
arXiv (Cornell University) · 2025-08-19
preprintOpen access1st authorCorrespondingRecent advances in large language models (LLMs) have generated great interest in their applications for IoT automation and device management. However, centralized approaches struggle to scale across heterogeneous, large-scale systems. We present LLMind 2.0, a distributed framework that embeds lightweight LLM-empowered device agents and adopts natural language for machine-to-machine (M2M) communication. In LLMind 2.0, a central coordinator translates human instructions into natural-language subta…
Biomedical Materials · 2025-11-01
articleCorrigendum: 3D biomaterial P scaffolds carrying umbilical cord mesenchymal stem cells improve biointegration of keratoprosthesis (2022 Biomed. Mater. 17 055004), Li, Yueyue, Xu, Wenqin, Li, Qian, Li, Xiaoqi, Li, Junyang, Kang, Li, Fang, Yifan, Cheng, Shuaishuai, Zhao, Peng, Jiang, Shumeng, Liu, Wei, Yan, Xiaojun, Du, Yanan, Wang, Liqiang, Huang, Yifei
ArXiv.org · 2025-07-18
preprintOpen accessThis paper proposes a hardware-software co-design approach to efficiently optimize beamforming and port selection in fluid antenna systems (FASs). To begin with, a fluid-antenna (FA)-enabled downlink multi-cell multiple-input multiple-output (MIMO) network is modeled, and a weighted sum-rate (WSR) maximization problem is formulated. Second, a method that integrates graph neural networks (GNNs) with random port selection (RPS) is proposed to jointly optimize beamforming and port selection, while…
Frequent coauthors
- 222 shared
Ali Khademhosseini
Terasaki Foundation
- 84 shared
Jiankang He
Xi'an Jiaotong University
- 75 shared
Kaini Liang
Tsinghua University
- 60 shared
Chenyu Huang
- 57 shared
Xiaojun Yan
Center for Life Sciences
- 52 shared
Ben Wang
Xiangya Hospital Central South University
- 52 shared
Edward Chin Man Lo
University of Hong Kong
- 50 shared
Hao Qi
Shenyang University of Chemical Technology
Labs
Yilun Du LabPI
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