Tsinghua University - Mobile Networking, Analytics and Edge Intelligence Workshop 2019

Opening Session

Time	Speaker	Subject
09:00-09:10	Prof. Yong Li	Opening Speech
09:10-09:20	Prof. Aaron Ding	Programme Introduction
09:20-09:40	Prof. Sasu Tarkoma	Computer Science in Helsinki: Toward Data Science and AI
09:40-10:20	All participants	Fast Self-introduction

Intelligent Wireless Network

Session Chair: Dr. Huandong Wang

Time	Speaker	Subject
10:40-11:00	Dr. Zhongliang Zhao	Machine Learning-empowered Spatial-Temporal Trajectory Data Analysis at Network Edge
11:00-11:20	Dr. Zhen Cao	Unleashing Potential of Multi-path Transport on Smartphones
11.20-11:40	Chao Zhu	Resource Allocation in Vehicular Fog Computing
11:40-12:00	Jona Beysens	Spatial Channel Hardening in VLC Networks

Intelligent Techniques and Applications

Session Chair: Prof. Sasu Tarkoma

Time	Speaker	Subject
14:00-14:20	Prof. Fusang Zhang	From Fresnel Diffraction Model to Contactless Sensing with Commodity Wi-Fi Devices
14:20-14:40	Dr. Xiang Su	Intelligence on the Edge: Case Studies and Privacy Concerns
14:40-15:00	Dr. Yali Yuan	Cooperative Collision Avoidance for Autonomous Driving via Multi-Agent Reinforcement Learning
15:00-15:20	Jiaxin Hu	Quantization-based Deep Neural Network Compression
15:20-15:40	Yali Song	Electromagnetic Compatibility Analysis of BTM Communication System in High-speed Railway Based on Neural Network Algorithm

Security and Privacy

Session Chair: Prof. Aaron Ding

Time	Speaker	Subject
16:10-16:30	Prof. Yao Guo	Detecting Fraudulent Behaviors in Mobile App Monetization
16:30-16:50	Prof. Yang Chen	Detecting Malicious Accounts in Online Developer Communities Using Deep Learning
16:50-17:10	Dr. Ranjan Pal	Consensual Privacy Trading in the Surveillance Capitalism Age: Boon or Bane?
17:10-17:30	Juhani Toivonen	Acoustic Co-presence Verification

Edge Intelligence

Session Chair: Prof. Yang Chen

Time	Speaker	Subject
09:00-09:20	Prof. Yuedong Xu	Forever Young: Aging Control for Smartphones in Hybrid Networks
09:20-09:40	Prof. Stephan Sigg	Distributed Machine learning on Energy Autonomous IoT Devices
09:40-10:00	Dr. Eemil Lagerspetz	Deep Learning for Calibrating Low-cost Air Quality Sensors
10:00-10:20	Dianlei Xu	IoT vs. Human: a Comparison of Mobility

Data Mining (a)

Session Chair: Prof. Stephan Sigg

Time	Speaker	Subject
10:40-11:00	Prof. Petteri Nurmi	Pervasive Data Science
11:00-11:20	Prof. Stefan Schmid	Demand-Aware and Self-Adjusting Networks
11:20-11:40	Dr. Huandong Wang	Anonymization and De-anonymization of Mobility Trajectories in Mobile Networks
11:40-12:00	Jie Feng	Application of Deep Learning in Mobile Traffic Forecasting

Data Mining (b)

Session Chair: Prof. Stefan Schmid

Time	Speaker	Subject
13:30-13:50	Prof. Leye Wang	Urban Data Scarcity: from Sparse Crowdsensing to Urban Transfer Learning
13:50-14:10	Dr. Sha Zhao	User Profiling from Their Use of Smartphone Applications
14:10-14:30	Tong Xia	Revealing Urban Dynamics by Learning Online and Offline Behaviours Together
14:30-14:50	Tong Li	Understanding the Evolution of Mobile App Usage: A Long-term Study of Android Users
14:50-15:10	Jinhua Lv	Recent progress on Telco localization

Recommender System

Session Chair: Prof. Stefan Schmid

	Time	Speaker	Subject
	15:10-15:30	Fengli Xu	Recommender System with the Edge of Social Network: a Aelation-aware Graph Convolutional Network Approach
	15:30-15:50	Chen Gao	Privacy-preserving Cross-domain Location Recommendation

Group Discussion

	Time	Subject
	16:10-17:00	Group Discussion
	17:00-17:30	Group Leaders' Sum Ups

Mobile Networking, Analytics and Edge Intelligence Workshop 2019