Beijing




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

✽ ✽ Coffee Break 10:20-10:40 ☕ ✽ ✽


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

✽ ✽ Lunch 12:00-13:30 🥗🍴🍗 ✽ ✽


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

✽ ✽ Coffee Break 15:40-16:10 ☕ ✽ ✽


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

✽ ✽ Social Dinner 18:00-20:00 🥗 🍻 🍤 ✽ ✽

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

✽ ✽ Coffee Break 10:20-10:40 ☕ ✽ ✽


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

✽ ✽ Lunch 12:00-13:30 🥗🍴🍗 ✽ ✽



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

✽ ✽ Coffee Break 15:50-16:10 ☕ ✽ ✽


Group Discussion

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

✽ ✽ Dinner 18:00-19:30🥗 🍻 🍤 ✽ ✽

Social Program 19:30-22:00