科研成果 by Type: Conference Paper

2017
Liu C, Liu J, Wei Y. Scroll up or down? using wheel activity as an indicator of browsing strategy across different contextual factors, in Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval.; 2017:333–336.
Wang F, Zhang J, Wu L, Zhang W, Luo G. Search space reduction for the non-exact projective NPNP Boolean matching problem, in 2017 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE; 2017:1–4. 访问链接
Qiu Y, Shen Q, Luo Y, Li C, Wu Z. A Secure Virtual Machine Deployment Strategy to Reduce Co-residency in Cloud, in 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017. IEEE Computer Society; 2017:347–354. 访问链接
Xin W, Shen Q, Yang Y, Wu Z. SeEagle: Semantic-Enhanced Anomaly Detection for Securing Eagle, in Digital Forensics and Cyber Crime - 9th International Conference, ICDF2C 2017, Prague, Czech Republic, October 9-11, 2017, Proceedings.Vol 216. Springer; 2017:221–227. 访问链接
Fan Z, Chen C, Jiang T. A Semi-automatic Editing Method for Surgery Videos, in International IEEE Workshop on Multimedia Services and Technologies for E-health (MUST-EH)，July 10-14. Hong Kong, China: IEEE Computer Society; 2017:115–120. 访问链接
Yang T, Liu L, Yan Y, Shahzad M, Shen Y, Li X, Cui B, Xie G. Sf-sketch: A fast, accurate, and memory efficient data structure to store frequencies of data items, in IEEE ICDE Short paper.; 2017:103–106.
Jia T, Fan Y, Joseph R, Gu J. Software-guided greybox design methodology with integrated power and clock management(invited), in International Midwest Symposium on Circuits and Systems (MWSCAS).; 2017.
Qian W, Shen Q, Yang Y, Yang Y, Wu Z. Statically Defend Network Consumption Against Acker Failure Vulnerability in Storm, in Information and Communications Security - 19th International Conference, ICICS 2017, Beijing, China, December 6-8, 2017, Proceedings.Vol 10631. Springer; 2017:661–673. 访问链接
Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A. Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning, in 3rd Conference on Image-Guided Interventions.; 2017:7–8.
Liu Y, Yu S, Qian J, Liu C, Ma X, Chen Y. Study on Driving Models with Real Time Data for Traffic Management, in 4th ICSSH Confeence on Economic Development and Management (ICSSH-EDM 2017). Moscow, RUSSIA; 2017:9-14.
Heng W, Jiang T. Surveillance Video Quality Assessment Based on Face Recognition, in Thematic Workshops of ACM Multimedia 2017, October 23 - 27. Mountain View, CA, USA: ACM; 2017:520–528. 访问链接
Shen M, Luo G. Tiguan: Energy-aware collision-free control for large-scale connected vehicles, in 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). IEEE; 2017:1–6. 访问链接Abstract
© 2017 IEEE. Traditional transportation systems in metropolitan areas always suffer from energy inefficiencies, evidenced by its uncoordinated behaviors such as system capacity and traffic demand change. With the advanced networked sensors are prevalent deployed into the autonomous vehicles, the information of system status and traffic demand can be collected in real-time. These information provides the potential to perform different types of coordination and control for autonomous vehicles in large-scale intelligent transportation systems. In this paper, we design a coordination-based energy-aware control method for large-scale connected vehicles, named Tiguan. Tiguan enables an iterative scheme to compute a practicable solution, which all vehicles are controlled on different trajectory paths of ground traffic network while achieving the close to the optimal performance. Safety is guaranteed by enabling vehicle to autonomously coordinate with other vehicles for a road traffic resource, and thus determine which vehicle needs the resource most. Experimental results show that Tiguan can effectively generate a feasible control solution with collision avoidance, and minimizing the energy consumption.
Jiang L, Yang C, Ao Y, Yin W, Ma W, Sun Q, Liu F, Lin R, Zhang P. Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor, in Proc. 46th International Conference on Parallel Processing (ICPP'17). IEEE; 2017:422–431. 访问链接
Huang X, Xia Y, Huang Y, Hornegger J, Yang J, Maier A. Truncation Artifact Reduction in Cone-beam CT using Mixed One-bit Compressive Sensing, in The 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.; 2017:246–249.
Tian L, Zhang K, Liu G, Guo J. A Well Testing Model on Pressure Characteristics of the Heterogeneous Composite Gas Reservoir, in ; 2017. 访问链接
Yan M.Q., Advance in NOM reactivity characterized using UV-Visible spectroscopy: Identifying features in differential spectra using quantum chemistry calculation. The 9th National Conference of Environmental Chemistry, Hangzhou, Oct, in ; 2017.
杨忠臣;芦婷;吴为中;. 固相碳源应用于微曝气人工湿地的同步硝化反硝化脱氮研究, in 2017中国环境科学学会科学与技术年会论文集(第二卷).; 2017.
刘宇初, 周庆山. 图博档等公共服务机构社交媒体服务融合模式的构建, in 中国图书馆学会年会（2016年）. 北京: 国家图书馆出版社; 2017.
朱道也, 朱欣焰, 刘凌佳. 建筑物多特征匹配优化算法, in 2017 年中国 GIS 理论与方法学术年会. 中国长沙; 2017.Abstract
针对多尺度匹配中复杂匹配（1： N 和 M： N 匹配）广泛存在，其使用传统评分指标与 1:1 匹配难以统一衡量的问题，本文提出了一种衡量多尺度数据的实体匹配因子的模型。采用破碎度、距离、面积重叠率、方向和形状 5 个描述因子，然后构建多因子人工神经网络模型来选择最佳匹配。实验选取湖北省武汉市青山区部分房屋 1:500 天地图的 2500 条数据和 1:2000 Google 的844 条数据进行匹配算法的验证， 结果表明， 使用基于破碎度等多因子的神经网络模型对多尺度建筑物匹配的准确度提升具有较好的效果
2016
Yang C, Xue W, Fu H, You H, Wang X, Ao Y, Liu F, Gan L, Xu P, Wang L, et al. 10M-core scalable fully-implicit solver for nonhydrostatic atmospheric dynamics, in Proc. of 2016 International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16). IEEE Press; 2016:6:1–12. 访问链接

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