2020 Autumn FIB-LAB Group Seminar Schedule

Location: Rohm Building, Tsinghua University

Time: 14:00 - 17:00 p.m. Thursday

Date: Dec. 24, 2020

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Yinfeng Li Multi-Channel Hypergraph Convolutional Network for Users‘ Spatio-Temporal Activities Prediction
Hongzhi Shi Graph-like Logical Queries with Learnable Logics on Knowledge Graphs

Date: Dec. 17, 2020

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Yuhan Quan Learning for tabular data with graph neural networks
Yanxin Xi Interpretable socioeconomic status inference from aerial imagery through urban patterns

Date: Dec. 10, 2020

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Shuodi Hui Generating IoT Network Traffic with Self-Attention GAN
Mudan Wang Mobility network models of COVID-19 explain inequities and inform reopening

Date: Dec. 3, 2020

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Jinwei Chen A Class Of Extensions To The Vehicle Routing Problem: VRPDP
Xinghao Yang Exploring real-world IoT devices: from network traffic to knowledge graph

Date: Nov. 26, 2020

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Suhan Zhang Popular transfer modes detection
Yu Liu Leveraging Knowledge Graph for Urban Computing

Date: Nov. 19, 2020

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Zhenhua Wang Detect IoT Privacy Information Leakage Based on Traffic classification
Zhilong Chen Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian

Date: Nov. 12, 2020

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Yukun Ping A Dual-Stage Graph Neural Network for Intention Prediction

Date: Nov. 5, 2020

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Guozhen Zhang Understanding the Role of Social Influence on Customer Churn in Social E-commerce
Sheraz Cluster cooperation for cache-enabled D2D communications

Date: Oct. 29, 2020

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Zhenyu Han Connecting intra-city mobility with distinct growth patterns of COVID-19 cases in the United States
Jinghua Piao Bringing Human in the Loop of Recommender Systems

Date: Oct. 22, 2020

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Jianxin Chang Graph-based Bundle Generation and Recommendation

Date: Oct. 15, 2020

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Fuxian Li Traffic Prediction with Graph Neural Networks

Date: Oct. 8, 2020

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Chen Lin Influence Maximization GNN with Algorithmic Alignment
Huiming Chen Federated Optimization: From FedAvg to SCAFFOLD
Nian Li Memory-Augmented Graph Convolutional Networks for Social Recommendation

Date: Sept. 24, 2020

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Tao Feng Reinforced Contact Tracing and Epidemic Intervening
Can Rong What is the Human Mobility in a New City : Transfer Mobility Knowledge Across Cities

Date: Sept. 17, 2020

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Erzhuo Shao Urban Population Mapping
Yuan Yuan Reconstruction of the full transmission dynamics

Date: Sept. 10, 2020

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Jie Feng PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning
Yali Fan Personalized Context-aware Collaborative Online Activity Prediction

Date: Sept. 3, 2020

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Zefang Zong Epidemic Control
Yu Zheng Casual Embedding for Recommendation