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Shanhui Fan

dblp:40/11098 · DBLP profile ↗
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6ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4Artificial intelligence and machine learning · 2 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 100%
Artificial intelligence
1 paper
Image recognition and object detection · 100%
Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
electromagnetic theory
0.412020
Tutorial on Electromagnetic Nonreciprocity and its Origins · Proc. IEEE 2020
Computer vision › Image recognition and object detection
object recognition
0.412019
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence · CVPR 2019
Computational photography and imaging
non-line-of-sight imaging
0.412019
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence · CVPR 2019
Computational science and engineering › computational physics
computational electromagnetics
0.212013
Highly Tailored Computational Electromagnetics Methods for Nanophotonic Design and Discovery · Proc. IEEE 2013
Physical-layer communications
metamaterials
0.212013
Metamaterial band theory: fundamentals & applications · Sci. China Inf. Sci. 2013

Methods — techniques the papers use, named apart from their topics

optical coherence · 0.8deep neural network · 0.8time-reversal symmetry analysis · 0.4lorentz reciprocity theorem · 0.4computational electromagnetics · 0.3
YearPublicationVenuePosition
2026 LFMCA-Net: A lightweight retinal vessel segmentation method based on adaptive edge perception and multi-stage feature fusion
Laifu Yang, Kaihua Wei, Shanhui Fan
Image Vis. Comput.5
2020 Tutorial on Electromagnetic Nonreciprocity and its Origins
abstract
This tutorial provides an intuitive and concrete description of the phenomena of electromagnetic nonreciprocity that will be useful for readers with engineering or physics backgrounds. The notion of time reversal and its different definitions are discussed with special emphasis on its relationship with the reciprocity concept. Starting from the Onsager reciprocal relations that are generally applicable to many physical processes, we present the derivation of the Lorentz theorem and discuss other implications of reciprocity for electromagnetic systems. Next, we identify all possible routes toward engineering nonreciprocal devices and analyze three of them in detail, based on external bias and on nonlinear and time-variant systems. The principles of the operation of different nonreciprocal devices are explained. We address the similarity and fundamental difference between nonreciprocal effects and asymmetric transmission in reciprocal systems. In addition to the tutorial description of the topic, this article also contains the original findings. In particular, the general classification of reciprocal and nonreciprocal phenomena in linear bianisotropic media based on the space- and time-reversal symmetries is presented. This classification serves as a powerful tool for drawing analogies between seemingly distinct effects having the same physical origin and can be used for predicting novel electromagnetic phenomena. Furthermore, electromagnetic reciprocity theorem for time-varying systems is derived, and its applicability is discussed.
Viktar S. Asadchy, Mohammad Sajjad Mirmoosa, Ana Díaz-Rubio, Shanhui Fan, Sergei A. Tretyakov
Proc. IEEE4
2020 Integrated Nonreciprocal Photonic Devices With Dynamic Modulation
abstract
Nonreciprocal components, such as isolators and circulators, are crucial components for photonic systems. In this article, we review theoretical and experimental progress toward developing nonreciprocal photonic devices based on dynamic modulation. In particular, we focus on approaches that operate at optical wavelengths and device architectures that have the potential for chip-scale integration. We first discuss the requirements for constructing an isolator or circulator using dynamic modulation. We review a number of different isolator and circulator architectures, including waveguide and resonant devices, and describe their underlying operating principles. We then compare these device architectures from a system-level performance perspective, considering how their figures of merit, such as footprint, bandwidth, isolation, and insertion loss scale with respect to device parameters.
Ian A. D. Williamson, Momchil Minkov, Avik Dutt, Alex Y. Song, Shanhui Fan
Proc. IEEE6
2019 Direct Object Recognition Without Line-Of-Sight Using Optical Coherence
abstract
Visual object recognition under situations in which the direct line-of-sight is blocked, such as when it is occluded around the corner, is of practical importance in a wide range of applications. With coherent illumination, the light scattered from diffusive walls forms speckle patterns that contain information of the hidden object. It is possible to realize non-line-of-sight (NLOS) recognition with these speckle patterns. We introduce a novel approach based on speckle pattern recognition with deep neural network, which is simpler and more robust than other NLOS recognition methods. Simulations and experiments are performed to verify the feasibility and performance of this approach.
Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
CVPR7
2013 Metamaterial band theory: fundamentals & applications
Aaswath Pattabhi Raman, Wonseok Shin 0004, Shanhui Fan
Sci. China Inf. Sci.3
2013 Highly Tailored Computational Electromagnetics Methods for Nanophotonic Design and Discovery
abstract
The use of computational electromagnetics (CEM) techniques has greatly advanced nanophotonics. The applications of nanophotonics in turn motivates the development of efficient highly tailored algorithms for specific application domains. In this paper, we will discuss some specific considerations in seeking to advance CEM for nanophotonic design and discovery, with examples drawn from the design of aperiodic nanophotonic structures for on-chip information processing applications.
Victor Liu, David A. B. Miller, Shanhui Fan
Proc. IEEE3