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17th CollaborateCom 2021: Virtual Event - Part II
- Honghao Gao, Xinheng Wang:
Collaborative Computing: Networking, Applications and Worksharing - 17th EAI International Conference, CollaborateCom 2021, Virtual Event, October 16-18, 2021, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 407, Springer 2021, ISBN 978-3-030-92637-3
Edge Computing
- Zhihui Cao, Haifeng Sun, Ning Zhang, Xiang Lv:
Energy-Efficient Cooperative Offloading for Multi-AP MEC in IoT Networks. 3-17 - Hongyu Huang, Guijun Fan, Yantao Li, Nankun Mu:
Multi-truth Discovery with Correlations of Candidates in Crowdsourcing Systems. 18-32 - Xuan Zhao, Song Zhang, Bowen Liu, Xutong Jiang, Wanchun Dou:
D2D-Based Multi-relay-Assisted Computation Offloading in Edge Computing Network. 33-49 - Yan Liang, Xin Chen, Shengcheng Ma, Libo Jiao:
Delay-Sensitive Slicing Resources Scheduling Based on Multi-MEC Collaboration in IoV. 50-64 - Yufu Tan, Sikandar Ali, Haotian Wang, Jiwei Huang:
An OO-Based Approach of Computing Offloading and Resource Allocation for Large-Scale Mobile Edge Computing Systems. 65-83
Edge Computing and Collaborative Working
- Tong Liu, Dan Li, Chenhong Cao, Honghao Gao, Chengfan Li, Zhenni Feng:
Joint Location-Value Privacy Protection for Spatiotemporal Data Collection via Mobile Crowdsensing. 87-103 - Wenhua Xu, Yiteng Zhang, Brian Chiu, Dong Chen, Jinfeng Jiang, Bowen Du, Hongfei Fan:
Hybrid Semantic Conflict Prevention in Real-Time Collaborative Programming. 104-123 - Yifan Ma, Zichao Yang, Brian Chiu, Yiteng Zhang, Jinfeng Jiang, Bowen Du, Hongfei Fan:
Supporting Cross-Platform Real-Time Collaborative Programming: Architecture, Techniques, and Prototype System. 124-143 - Bilian Wu, Xin Chen, Libo Jiao:
Collaborative Computing Based on Truthful Online Auction Mechanism in Internet of Things. 144-157 - Xiao Shu, Bo Ding, Jie Luo, Xiang Fu, Min Xie, Zhen Li:
A Hashgraph-Based Knowledge Sharing Approach for Mobile Robot Swarm. 158-172
Collaborative Working and Deep Learning and Application
- Fei He, Canghong Jin, Minghui Wu:
CASE: Predict User Behaviors via Collaborative Assistant Sequence Embedding Model. 175-189 - Qiaojuan Peng, Xiong Luo, Hailun Shen, Ziyang Huang, Maojian Chen:
A Collaborative Optimization-Guided Entity Extraction Scheme. 190-205 - Jiachi Xu, Jiefu Tan, Chao Xue, Yaqianwen Su, Xionghui He, Yongjun Zhang:
A Safe Topological Waypoints Searching-Based Conservative Adaptive Motion Planner in Unknown Cluttered Environment. 206-224 - Jun Zeng, Juan Yao, Yang Yu, Yingbo Wu:
Multi-D3QN: A Multi-strategy Deep Reinforcement Learning for Service Composition in Cloud Manufacturing. 225-240 - Jiahao Wang, Wenxiong Li, Xiuxiu Qi, Yuheng Ren:
Transfer Knowledge Between Cities by Incremental Few-Shot Learning. 241-257
Deep Learning and Application
- Xingbiao Zhao, Changzheng Liu, Benzhuang Zhang, Limengzi Yuan, Yuchen Zheng:
Multi-view Representation Learning with Deep Features for Offline Signature Verification. 261-275 - Yu Sheng, Rong Chen, Guanyu Cai, Li Kuang:
Backdoor Attack of Graph Neural Networks Based on Subgraph Trigger. 276-296 - Yin Yang, Yifeng Wang, Senqiao Yang:
A UniverApproCNN with Universal Approximation and Explicit Training Strategy. 297-315 - Jiahui Huang, Bin Cao, Jiaxing Wang, Jing Fan:
MS-BERT: A Multi-layer Self-distillation Approach for BERT Compression Based on Earth Mover's Distance. 316-334 - Yuqi Fan, Siyuan Shang, Xu Ding:
Smart Contract Vulnerability Detection Based on Dual Attention Graph Convolutional Network. 335-351 - Qilong Feng, Yue Zhang, Li Kuang:
Crowdturfing Detection in Online Review System: A Graph-Based Modeling. 352-369 - Chenran Zhao, Dianxi Shi, Yaowen Zhang, Yaqianwen Su, Yongjun Zhang, Shaowu Yang:
Attention-Aware Actor for Cooperative Multi-agent Reinforcement Learning. 370-384 - Tianpu Zhang, Weilong Ding, Mengda Xing, Jun Chen, Yongkang Du, Ying Liang:
Geographic and Temporal Deep Learning Method for Traffic Flow Prediction in Highway Network. 385-400 - Jiajie Du, Li Pan:
How are You Affected? A Structural Graph Neural Network Model Predicting Individual Social Influence Status. 401-415 - Wang Zhang, Lei Jiang, Huailiang Peng, Qiong Dai, Xu Bai:
Multi-order Proximity Graph Structure Embedding. 416-431
Deep Learning and Application and UVA
- Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He:
PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. 435-450 - Changjie Zhang, Zhenchao Ouyang, Lu Ren, Yu Liu:
Low-Cost LiDAR-Based Vehicle Detection for Self-driving Container Trucks at Seaport. 451-466
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