Yanan Han

dblp:182/5974 · DBLP profile ↗
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8ranked-venue papers
1as first author
5since 2021 · last 2026
0009-0006-4242-1219ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author · 2 since 2021Computer networks · 2

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 architecture, parallel and distributed computing, and storage systems
3 papers
Emerging computing paradigms · 68% Integrated circuit design · 18% Hardware accelerators and domain-specific architectures · 14%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms
neuromorphic computing
1.222024
Conversion of a single-layer ANN to photonic SNN for pattern recognition · Sci. China Inf. Sci. 2024
Real-time optical spike-timing dependent plasticity in a single VCSEL with dual-polarized pulsed optical injection · Sci. China Inf. Sci. 2020
Emerging computing paradigms › optical computing
optical neural networks
0.812024
Conversion of a single-layer ANN to photonic SNN for pattern recognition · Sci. China Inf. Sci. 2024
Emerging computing paradigms › neuromorphic computing
pattern recognition
0.812024
Conversion of a single-layer ANN to photonic SNN for pattern recognition · Sci. China Inf. Sci. 2024
Hardware accelerators and domain-specific architectures
photonic accelerator
0.812024
Conversion of a single-layer ANN to photonic SNN for pattern recognition · Sci. China Inf. Sci. 2024
Emerging computing paradigms
optical computing
0.512021
Recent progress of integrated circuits and optoelectronic chips · Sci. China Inf. Sci. 2021
Integrated circuit design
optoelectronic integrated circuits
0.512021
Recent progress of integrated circuits and optoelectronic chips · Sci. China Inf. Sci. 2021
Integrated circuit design
photonic integrated circuits
0.512021
Recent progress of integrated circuits and optoelectronic chips · Sci. China Inf. Sci. 2021
Emerging computing paradigms › neuromorphic computing › synaptic plasticity
spike-timing-dependent plasticity
0.412020
Real-time optical spike-timing dependent plasticity in a single VCSEL with dual-polarized pulsed optical injection · Sci. China Inf. Sci. 2020

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

photonics · 0.8ANN-to-SNN conversion · 0.8silicon photonics · 0.5heterogeneous integration · 0.5optical injection · 0.4VCSEL · 0.4
YearPublicationVenuePosition
2026 Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective
Juncheng Huang, Kathy Lüdge, Yanan Han, Yue Hao 0001
Neural Networks4
2025 S4-KD: A single step spiking SiamFC+ + for object tracking with knowledge distillation
Wenzhuo Liu, Tao Zhang 0090, Yanan Han, Licun Yu, Yue Hao 0001
Neural Networks4
2024 Conversion of a single-layer ANN to photonic SNN for pattern recognition
Yanan Han, Yuechun Shi
Sci. China Inf. Sci.1
2024 Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning
Wenzhuo Liu, Shuying Xiang, Tao Zhang 0090, Yanan Han, Yue Hao 0001
Neural Comput. Appl.4
2021 Recent progress of integrated circuits and optoelectronic chips
Yue Hao 0001, Genquan Han, Jincheng Zhang 0001, Xiaohua Ma 0001, Zhangming Zhu, Yanan Han, Ling Yang 0003, Jiangyi Shi, Wei Zhang 0343, Biao Pan, Yangqi Huang, Qi Liu 0010, Yimao Cai, Xin Ou, Tiangui You, Huaqiang Wu, Bin Gao 0006, Guoping Guo, Yonghua Chen, Xiangfei Chen, Chunlai Xue, Lixia Zhao, Xihua Zou, Lianshan Yan
Sci. China Inf. Sci.9
2020 Real-time optical spike-timing dependent plasticity in a single VCSEL with dual-polarized pulsed optical injection
Yanan Han, Genquan Han, Yue Hao 0001
Sci. China Inf. Sci.2
2017 Certificateless online/offline signcryption for the Internet of Things
abstract
The Internet of Things (IoT) is an emerging network paradigm that aims to obtain the interactions among pervasive things through heterogeneous networks. Security is an important task in the IoT. Luo et al. (Secur Commun Netw 7(10): 1560–1569, 2014 ) proposed a certificateless online/offline signcryption (COOSC) scheme for the IoT (hereafter called LTX). Unfortunately, Shi et al. showed that LTX is not secure. An adversary can easily obtain the private key of a user by a ciphertext. Recently, Li et al. proposed a new COOSC scheme (hereafter called LZZ). However, both LTX and LZZ need a point multiplication operation in the online phase, which is not suitable for resource-constrained devices. To overcome this weakness, we propose a new COOSC scheme and prove its security in the random oracle model. In addition, we analyze the performance of our scheme and show its application in the IoT.
Fagen Li, Yanan Han
Wirel. Networks2
2016 Practical access control for sensor networks in the context of the Internet of Things
abstract
Wireless sensor network (WSN) plays an important role in military sensing and tracking, target tracking, and environment monitoring. To query of the network to get useful information from anywhere and anytime, we need to integrate the WSN into the Internet as part of the Internet of Things (IoT). In this case, it is an important task to design an access control scheme that can authorize, authenticate and revoke a user to access the WSN. In this paper, we propose a heterogeneous signcryption scheme to control the access behavior of the users. We give the formal security proof of our scheme in the random oracle model. An important characteristic of our scheme is to allow a user in a certificateless cryptography (CLC) environment to send a message to a sensor node in an identity-based cryptography (IBC) environment. We give an access control scheme for the WSN in the context of the IoT using the proposed signcryption scheme. As compared with existing two access control schemes using signcryption, the computational cost of sensors in our scheme is reduced by about 22% and 53%, respectively and the energy consumption of sensors in our scheme is reduced by about 33% and 54%, respectively.
Fagen Li, Yanan Han
Comput. Commun.2