Macao Connected Autonomous Driving (MoCAD)
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Conference Publications
K. Wang, X. Gao, Y. Zhao, X. Li, D. Dou, and C. Xu, “Pay attention to features, transfer learn faster cnns,” in Proc. International Conference on Learning Representations (ICLR), 2020.
X. Li, H. Xiong, H. An, D. Dou, and C. Xu, “Rifle: Backpropagation in depth for deep transfer learning through re-initializing the fully-connected layer,” in Proc. International Conference on Machine Learning (ICML), 2020.
S. J, K. Ye, and C. Xu, “A network intrusion detection approach based on asymmetric convolutional autoencoder,” in Proc. International Conference on Cloud Computing (ICCC), pp. 126-140, 2020.
Y. Sun, K. Ye, and C. Xu, “Plmsys: A cloud monitoring system based on cluster performance and container logs,” in Proc. International Conference on Cloud Computing (ICCC), pp. 111-125, 2020.
Y. Zhao, J. Huang, X. Li, and C. Xu, “Optimal node placement for magnetic relay and mimo wireless power transfer network,” in Proc. International Conference on Wireless Algorithms, Systems, and Applications (ICWASA), pp. 743-754, 2020.
Z. Liu, H. Wu, T. Bai, Y. Wang, and C. Xu, “Towards elastic data warehousing by decoupling data management and computation,” in Proc. International Conference on Cloud and Big Data Computing (ICCBDC), pp. 52-57, 2020.
J. Ye, J. Zhao, K. Ye, and C. Xu, “Multi-stgcnet: A graph convolution based spatial-temporal framework for subway passenger flow forecasting,” in Proc. International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2020.
R. Wang, K. Ye, T. Meng, and C. Xu, “Performance evaluation on blockchain systems: A case study on ethereum, fabric, sawtooth and fisco-bcos,” in Proc. International Conference on Services Computing (ICSC), pp. 120-134, 2020.
C. Lu, W. Chen, K. Ye, and C. Xu, “Understanding the workload characteristics in alibaba: A view from directed acyclic graph analysis,” in Proc. International Conference on High Performance Big Data and Intelligent Systems (ICHPBDIS), pp. 1-8, 2020.
L. Li, J. Wang, X. Chen, and C. Xu, “Multi-layer coordination for high performance energy-efficient federated learning,” in Proc. International Symposium on Quality of Service (ISQS), pp. 1-10, 2020.
L. Li, X. Wang, and F. Qin, “Energydx: Diagnosing energy anomaly in mobile apps by identifying the manifestation point,” in Proc. International Conference on Distributed Computing Systems (ICDCS), 2020.
Journal Publications
M. Du, Y. Wang, K. Ye, and C. Xu, “Algorithmics of cost-driven computation offloading in the edge-cloud environment,” IEEE Transactions on Computers, 2020.
Y. Wang, S. Cao, H. Ren, J. Li, K. Ye, C. Xu, and X. Chen, “Towards costeffective service migration in mobile edge: A q-learning approach,” Journal of Parallel and Distributed Computing, pp. 175-188, 2020.
Y. Zhang, H. Ren, W. Yang, Y. Wang, K. Ye, and C. Xu, “The strong substructure and feature attention mechanism for image semantic segmentation,” Concurrency and Computation: Practice and Experience, 2020.
B. Zhao, X. Gao, J. Liu, J. Zhao, and C. Xu, “Spatiotemporal data fusion in graph convolutional networks for traffic prediction,” IEEE Access, 2020.
B. Liu, L. Wang, M. Liu, and C. Xu, “Federated imitation learning: A novel framework for cloud robotic systems with heterogeneous sensor data,” IEEE Robotics and Automation Letters, pp. 3509-3516, 2020.
B. Zhao, C. Xu, S. Liu, J. Zhao, and L. Li, “Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metrocity scales,” Concurrency and Computation: Practice and Experience, 2020.
S. Chu, Z. Fang, S. Song, Z. Zhang, C. Gao, and C. Xu, “Efficient multi-channel computation offloading for mobile edge computing: A game-theoretic approach,” IEEE Transactions on Cloud Computing, 2020.
W. W. Sun, J. T. Zhou, Y. M. Li, M. Cheung, and J. She, “Robust High-Capacity Watermarking over Online Social Network Shared Images,” IEEE Transactions on Circuits and Systems for Video Technology, 2020.
J. Tang and J. Li, “End-to-End Monocular Range Estimation for Forward Collision Warning,” Sensors, v20, n20, p1-15, October 2020.
W. Fang, S. Zhang, H. Huang, S. Dang, Z. Huang, W. Li, T. Sun, H. Li, “Learn to Make Decision with Small Data for Autonomous Driving: Deep Gaussian Process and Feedback Control,” Journal of Advanced Transportation, vol. 2020, Article ID 8495264, 11 pages, 2020.
Patent
城市公共交通乘客出行轨迹估计方法、系统、终端以及存储介质 (國際專利，申請號PCT/CN2020/093744)
城市公共交通乘客出行轨迹估计方法、系统、终端以及存储介质 (中國發明專利，申請號CN202010487422.1)
一种基于屏幕光通信的车辆定位方法、装置及服务 (中國發明專利，申請號CN202010561570.3)
一种等高线引导线的自主车三维路径规划方法 (中國發明專利，申請號CN202010882087.5)
