IEEE SMDS 2020 - Technical Program
Technical Program
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| Date/Time (UTC) | Session | Presentation |
|---|---|---|
| Tues 10/20 01:00 - 02:20 China time: 09:00 - 10:20 |
Welcome from the SMDS Chairs (at 12:50 UTC) SMDS 1: Machine Learning in Data Services Session Chair: Le Sun Nanjing University of Information Science & Technology |
SMD_INV_61 CNN Approaches to Classify Multivariate Time Series Using Class-specific Features Huiping Cao |
| SMD_REG_30 Stargazer: A Deep Learning Approach for Estimating the Performance of Edge-based Clustering Applications Breno Dantas Cruz, Arnab Kumar Paul, Zheng Song and Eli Tilevich |
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| SMD_REG_24 Machine Learning based User QoE Evaluation for Video Streaming over Mobile Network Yanhong Zhu, Tao Sun, Qin Li, Lu Lu, Xiaodong Duan and Weiyuan Li |
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| SMD_REG_47 A Latent Feelings-aware RNN Model for User Churn Prediction with only Behavioral Data Meng Xi, Zhiling Luo, Naibo Wang, Jianrong Tao, Ying Li and Jianwei Yin |
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| Tues 10/20 02:40 - 04:00 China time: 10:40 - 12:00 |
SMDS 2: Network & Information Security Session Chair: Haiyan Wang Nanjing University of Posts & Telecommunications |
SMD_REG_15 BC-Sketch: A Simple Reversible Sketch for Detecting Network Anomalies Feng Wang, Yongning Tang, Lixin Gao and Guang Cheng |
| SMD_INV_64 EdgeInfer: Robust Truth Inference under Data Poisoning Attack Li Xiong |
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| Wed 10/21 01:00 - 02:00 China time: 9:00 - 10:00 |
SMDS 3: Knowledge Engineering in Data Services Session Chair: Li Kuang Central South University |
SMD_REG_65 M2NN: Rare Event Inference through Multi-variate Multi-scale Attention Manjusha Ravindranath, K. Selcuk Candan and Maria Luisa Sapino |
| SMD_INV_62 Utber: Utilizing Fine-grained Entity Types to Relation Extraction with Distant Supervision Lei Chen |
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| SMD_REG_53 Scalable and Hybrid Ensemble-based Causality Discovery Pei Guo and Jianwu Wang |
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| Wed 10/21 02:20 - 03:40 China time: 10:20 - 11:40 |
SMDS 4: Applications & Case Studies Session Chair: Xiangjuan Cao China University of Mining & Technology |
SMD_REG_19 Geolocation using GAT with Multiview Learning Zhanyu Wang, Chunyang Ye and Hui Zhou |
| SMD_REG_21 Multi-objective Reinforcement Learning Based Approach for User-Centric Power Optimization in Smart Home Environments Saurabh Gupta, Siddhant Bhambri, Karan Dhingra, Arun Balaji Buduru and Ponnurangam Kumaraguru |
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| SMD_REG_58 Real-time System for Short- and Long-Term Prediction of Vehicle Flow Paolo Nesi, Stafano Bilotta and Irene Paoli |
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| SMD_INV_63 MY-AIR: A Personalized Air Quality Information Service Ouri Wolfson |
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| Wed 10/21 14:40 - 16:00 China time: 22:40 - 24:00 |
Plenary Panel Smart Data & Digital Health Services Beyond COVID19 Panel Chair: K. Selcuk Candan Arizona State University |
Panelists: Gerardo Chowell, Georgia State University Ernesto Damiani, Unversita degli Studi di Milano Murat Kantarcioglu, University of Texas at Dallas Balarirshnan Prabhakaran, National Science Foundation Ajay Royyuru, IBM Research |
| Wed 10/21 19:00 - 20:40 China time: Thur 10/22 03:00 - 04:20 |
Keynote 3: Wendy Nilsen, National Science Foundation followed by Plenary Panel The Future of Home, School & Office in the Age of Pandemic Session & Panel Chair: Sheikh Iqbal Ahamed Marquette University |
Keynote: Digital Health and Beyond: What Computing Can Do to Transform Health Panelists: Wendy Nilsen, National Science Foundation Cheng-Chung (William) Chu, Tunghai University Hemant Jain, The University of Tennessee-Chatanooga Michael Zimmer, Marquette University Kathy Chang, University of New Mexico and Engeye |
| Thu 10/22 01:00 - 02:20 China time: 9:00 - 10:20 |
SMDS 5: Data Science Session Chair: Min Yuan Nanjing Normal University |
SMD_REG_11 Conflict-free Replicated Relations for Multi-synchronous Database Management at Edge Weihai Yu and Claudia-Levinia Ignat |
| SMD_INV_60 High Performance Data Engineering Everywhere Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Supun Kamburugamuve, Thejaka Kanewala, Hasara Maithree, Pulasthi Wickramasinghe, Ahmet Uyar, Gurhan Gunduz and Geoffrey Fox |
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| SMD_REG_34 S3QLRDF: Property Table Partitioning Scheme for Distributed SPARQL Querying of Large-scale RDF Data Mahmudul Hassan and Srividya Bansal |