科研成果 by Type: Conference Paper

2021
Chen Y, Yu Z*, Fang W, Huang T, Tian YH*. Pruning of Deep Spiking Neural Networks through Gradient Rewiring, in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI).; 2021:1713-1721. PDFAbstract
Spiking Neural Networks (SNNs) have been attached great importance due to their biological plausibility and high energy-efficiency on neuromorphic chips. As these chips are usually resource-constrained, the compression of SNNs is thus crucial along the road of practical use of SNNs. Most existing methods directly apply pruning approaches in artificial neural networks (ANNs) to SNNs, which ignore the difference between ANNs and SNNs, thus limiting the performance of the pruned SNNs. Besides, these methods are only suitable for shallow SNNs. In this paper, inspired by synaptogenesis and synapse elimination in the neural system, we propose gradient rewiring (Grad R), a joint learning algorithm of connectivity and weight for SNNs, that enables us to seamlessly optimize network structure without retraining. Our key innovation is to redefine the gradient to a new synaptic parameter, allowing better exploration of network structures by taking full advantage of the competition between pruning and regrowth of connections. The experimental results show that the proposed method achieves minimal loss of SNNs' performance on MNIST and CIFAR-10 datasets so far. Moreover, it reaches a ~3.5% accuracy loss under unprecedented 0.73% connectivity, which reveals remarkable structure refining capability in SNNs. Our work suggests that there exists extremely high redundancy in deep SNNs. Our codes are available at https://github.com/Yanqi-Chen/Gradient-Rewiring.
Lian J, Jia J. A Quasi-experimental Study of Chinese University English Learners’ Engagement in a Flipped Classroom, in 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings.Vol 1.; 2021:493-502. 访问链接
Zhao J, Xie J, Xiong R*, Zhang J, Yu Z, Huang T. Super Resolve Dynamic Scene From Continuous Spike Streams, in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).; 2021:2533-2542. PDFAbstract
Recently, a novel retina-inspired camera, namely spike camera, has shown great potential for recording high-speed dynamic scenes. Unlike the conventional digital cameras that compact the visual information within the exposure interval into a single snapshot, the spike camera continuously outputs binary spike streams to record the dynamic scenes, yielding a very high temporal resolution. Most of the existing reconstruction methods for spike camera focus on reconstructing images with the same resolution as spike camera. However, as a trade-off of high temporal resolution, the spatial resolution of spike camera is limited, resulting in inferior details of the reconstruction. To address this issue, we develop a spike camera super-resolution framework, aiming to super resolve high-resolution intensity images from the low-resolution binary spike streams. Due to the relative motion between the camera and the objects to capture, the spikes fired by the same sensor pixel no longer describes the same points in the external scene. In this paper, we properly exploit the relative motion and derive the relationship between light intensity and each spike, so as to recover the external scene with both high temporal and high spatial resolution. Experimental results demonstrate that the proposed method can reconstruct pleasant high-resolution images from low-resolution spike streams.
Deng K, Gui L, Xu W, Tang F, Chen K, Lang L. Target Detection Method Based on Reflection in Passive Millimeter-Wave Radiation Image, in IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT). Nanjing, China: IEEE; 2021. 访问链接Abstract
In passive millimeter wave radiation images, reflection will affect the analysis of the target and scene. Based on the theoretical model of reflection, this paper analyzes the change of brightness temperature(TB) in the target region and the reflected region under specific scenes. A target detection method based on the change of TB is proposed to distinguish the target and its reflection region and obtain the target outline. The effectiveness of the method is verified by simulation and imaging experiments.
Tong X, Ying X, Shi Y, Zhao H, Wang R. Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction, in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. ijcai.org; 2021:1054–1060. 访问链接
Dong T, Qiu H, Lu J, Qiu M, Fan C. Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning, in 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE; 2021:468–475.
吴靖远. Travelling to the Koinon Assembly – Provincial Level Elite Mobilization during the Principate., in 15th TACMRS International Conference. National Taiwan Normal University, Taipei, China; 2021.Abstract
Koinon assemblies during the Principate were occasions when member communities dispatch delegations to gather at specifically designated cities, where they elect koinon officers and deliberate a range of affairs –– chiefly among which were festivities and sacrifices that honored the Roman emperors and the local cultic and civic traditions, but also revenues and expenditures, administrative tasks delegated by the imperial government, among others (Deininger 1965: 137-147; Edelmann-Singer 2015: 193-248, 309-310). Much has been discussed regarding the institutional aspects of the koinon assemblies; what could benefit from more discussion is the act of traveling to koinon assemblies. This paper assembles a small number of literary and epigraphic references that provide circumstantial references to koinon assembly-related travel anecdotes. Of particular importance among these are Strabo's description of the gathering of delegates from Lycian cities to the koinon meeting each year (Strab. 13.3.3), Aelius Aristides' account of the city of Smyrna's manipulative nomination of him as a candidate for the high priest of Asia (Ael. Arist. Hieroi Logoi 4.99-104), and the inscription honoring Quintus Popilius Python's gift to attendees of the koinon assembly while serving as the high priest of the Macedonian koinon (EKM 117). By assembling these and other evidence, this paper wishes to suggest that koinon assemblies were compulsory events that each member community would have to participate in, often at their own expense. Wealthy koinon-officeholders may opt to offset the burdens that communities (or their designated representatives) would have to shoulder in dispatching delegation, and such benefaction may be viewed from the perspective of a soft mobilization of the provincial elites in order to facilitate the orderly execution of business in the interest of the public weal.
Gao T, Li X, Han L, Wu Y. Tunable synaptic devices based on ambipolar MoTe2 transistor, in 2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). IEEE; 2021:1–3.
Han X, Chen K, Zhou Y, Qiu M, Fan C, Liu Y, Zhang T. A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems, in 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE; 2021:836–844.
Yan P, Schroeder R. Watching Politics: Analysing News and Political YouTube Consumption in the US, in . International Conference on Computational Social Science (IC2S2 2021) .; 2021.
李世娟*, 林蕙*, 陈晓龙, 胡欣枚. 公共卫生事件中信息行为和情绪变化研究—以中年人为例, in 中国科学技术情报学会信息行为研究专业委员会成立大会 暨信息行为研究 2021 年年会. 天津; 2021.
柴腾, 李世娟*. 公共图书馆用户健康信息服务研究述评, in 中国图书馆学会第八届青年学术论坛“创新发展·青年担当”. 广州; 2021.
胡欣枚, 李世娟*. 基于社交媒体的半真实健康信息行为研究——以体重管理人群为例(获得论文三等奖), in “图情档学科建设与实践创新”高端学术论坛暨青年学者论坛. 吉林延吉; 2021.
魏伟珍, 李世娟*. 新冠疫苗相关在线健康信息的质量评估 (获得论文一等奖), in “图情档学科建设与实践创新”高端学术论坛暨青年学者论坛. 吉林延吉; 2021.
林蕙, 张鹏翼, 李世娟*. 社交平台中癌症患者及其家属的健康信息自我表露研究——以新浪微博肺癌超话为例(获得优秀论文奖), in 中国科学技术情报学会信息行为研究专业委员会成立大会 暨信息行为研究 2021 年年会. 天津; 2021.
2020
Li S, Gu C, Li X, HUANG R, Wu Y. 10-nm Channel Length Indium-Tin-Oxide transistors with I on= 1860 $μ$A/$μ$m, G m= 1050 $μ$S/$μ$m at V ds= 1 V with BEOL Compatibility, in 2020 IEEE International Electron Devices Meeting (IEDM). IEEE; 2020:40–5.
Liu J, TANG X, Zhao W, Shen L, Sun N. 16.5 A 13b 0.005mm2 40MS/s SAR ADC with kT/C Noise Cancellation, in 2020 IEEE International Solid- State Circuits Conference - (ISSCC).; 2020:258-260.
Shi Y, Tong X, Wen J, Zhao H, Ying X, Zha H. 3D Orientation Estimation and Vanishing Point Extraction from Single Panoramas Using Convolutional Neural Network, in International Conference on Robotics and Automation. IEEE; 2020:596–602.
TANG X, Yang X, Zhao W, Hsu C-K, Liu J, Shen L, Mukherjee A, Shi W, Pan DZ, Sun N. 9.5 A 13.5b-ENOB Second-Order Noise-Shaping SAR with PVT-Robust Closed-Loop Dynamic Amplifier, in 2020 IEEE International Solid- State Circuits Conference - (ISSCC).; 2020:162-164.
ZHANG Y, WANG R, HU Y, QIAN W, Wang Y, HUANG R. Accurate and Energy Efficient Implementation of Non-Linear Adder in Parallel Stochastic Computing using Sorting Network, in IEEE International Symposium on Circuits and Systems (ISCAS). Seville, Spain: IEEE Press; 2020. 访问链接

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