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2022 Volume 13 Issue 6

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Impact of Driving Behavior on Commuter's Comfort During Cab Rides: Towards a New Perspective of Driver Rating
Rohit Verma | Sugandh Pargal | Debasree Das | Tanusree Parbat | Sai Shankar Kambalapalli | Bivas Mitra | Sandip Chakraborty

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Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning
Lin Zhang | Lixin Fan | Yong Luo | Ling-Yu Duan

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DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Siyuan Ren | Bin Guo | Longbing Cao | Ke Li | Jiaqi Liu | Zhiwen Yu

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Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal
Qian Zheng | Yueming Wang | Zhenfang Hu | Xiaobo Zhang | Zhaohui Wu | Gang Pan

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Two-Level Optimization to Reduce Waiting Time at Locks in Inland Waterway Transportation
Wided Hammedi | Sidi Mohammed Senouci | Philippe Brunet | Metzli Ramirez-Martinez

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CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
Mohannad Elhamod | Jie Bu | Christopher Singh | Matthew Redell | Abantika Ghosh | Viktor Podolskiy | Wei-Cheng Lee | Anuj Karpatne

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MetaDetector: Meta Event Knowledge Transfer for Fake News Detection
Yasan Ding | Bin Guo | Yan Liu | Yunji Liang | Haocheng Shen | Zhiwen Yu

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CAFE and SOUP: Toward Adaptive VDI Workload Prediction
Yao Zhang | Wenping Fan | Qichen Hao | Xinya Wu | Min-Ling Zhang

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A Holistic Approach for Role Inference and Action Anticipation in Human Teams
Junyi Dong | Qingze Huo | Silvia Ferrari

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Steering-by-example for Progressive Visual Analytics
Marius Hogräfer | Marco Angelini | Giuseppe Santucci | Hans-Jörg Schulz

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Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Xian Wu | Chao Huang | Pablo Robles-Granda | Nitesh V. Chawla

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Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups
Edgar Eduardo Ceh-Varela | Huiping Cao | Hady W. Lauw

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Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das | Timothy Castiglia | Shiqiang Wang | Stacy Patterson

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Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios
Ángel Navia-Vázquez | Roberto Díaz-Morales | Marcos Fernández Díaz

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Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder
Yue Hu | Ao Qu | Dan Work

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Privacy-preserving Collaborative Filtering by Distributed Mediation
Tamir Tassa | Alon Ben Horin

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Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta | Srikanta Bedathur | Sourangshu Bhattacharya | Abir De

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AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data
Jinxiang Ou | Yunheng Shen | Feng Wang | Qiao Liu | Xuegong Zhang | Hairong Lv

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Shifting Capsule Networks from the Cloud to the Deep Edge
Miguel Costa | Diogo Costa | Tiago Gomes | Sandro Pinto

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2022 Volume 13 Issue 5

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Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2
Qiang Yang | Yongxin Tong | Yang Liu | Yangqiu Song | Hao Peng | Boi Faltings

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PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing
Xiaolong Xu | Wentao Liu | Yulan Zhang | Xuyun Zhang | Wanchun Dou | Lianyong Qi | Md. Zakirul Alam Bhuiyan

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FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device
Zhengyi Zhong | Weidong Bao | Ji Wang | Xiaomin Zhu | Xiongtao Zhang

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Federated Learning for Electronic Health Records
Trung Kien Dang | Xiang Lan | Jianshu Weng | Mengling Feng

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Auto-weighted Robust Federated Learning with Corrupted Data Sources
Shenghui Li | Edith C. H. Ngai | Fanghua Ye | Thiemo Voigt

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SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection
Xue Jiang | Xuebing Zhou | Jens Grossklags

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CLC: A Consensus-based Label Correction Approach in Federated Learning
Bixiao Zeng | Xiaodong Yang | Yiqiang Chen | Hanchao Yu | Yingwei Zhang

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Defending against Poisoning Backdoor Attacks on Federated Meta-learning
Chien-Lun Chen | Sara Babakniya | Marco Paolieri | Leana Golubchik

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An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization
Lunchen Xie | Jiaqi Liu | Songtao Lu | Tsung-Hui Chang | Qingjiang Shi

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Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings
Dimitris Stripelis | Paul M. Thompson | José Luis Ambite

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FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Georgios Damaskinos | Rachid Guerraoui | Anne-Marie Kermarrec | Vlad Nitu | Rhicheek Patra | François Taïani

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Federated Multi-task Graph Learning
Yijing Liu | Dongming Han | Jianwei Zhang | Haiyang Zhu | Mingliang Xu | Wei Chen

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Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network
Fuxian Li | Jie Feng | Huan Yan | Depeng Jin | Yong Li

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Gray-Box Shilling Attack: An Adversarial Learning Approach
Zongwei Wang | Min Gao | Jundong Li | Junwei Zhang | Jiang Zhong

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A Foraging Strategy with Risk Response for Individual Robots in Adversarial Environments
Kai Di | Yifeng Zhou | Fuhan Yan | Jiuchuan Jiang | Shaofu Yang | Yichuan Jiang

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A Review on Source Code Documentation
Sawan Rai | Ramesh Chandra Belwal | Atul Gupta

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INN: An Interpretable Neural Network for AI Incubation in Manufacturing
Xiaoyu Chen | Yingyan Zeng | Sungku Kang | Ran Jin

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Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform
Ke Li | Bin Guo | Jiaqi Liu | Jiangtao Wang | Haoyang Ren | Fei Yi | Zhiwen Yu

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2022 Volume 13 Issue 4

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Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1
Qiang Yang | Yongxin Tong | Yang Liu | Yangqiu Song | Hao Peng | Boi Faltings

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Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Jun Zhou | Longfei Zheng | Chaochao Chen | Yan Wang | Xiaolin Zheng | Bingzhe Wu | Cen Chen | Li Wang | Jianwei Yin

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Federated Learning for Healthcare: Systematic Review and Architecture Proposal
Rodolfo Stoffel Antunes | Cristiano André da Costa | Arne Küderle | Imrana Abdullahi Yari | Björn M. Eskofier

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Federated Social Recommendation with Graph Neural Network
Zhiwei Liu | Liangwei Yang | Ziwei Fan | Hao Peng | Philip S. Yu

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Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance
Meng Jiang | Taeho Jung | Ryan Karl | Tong Zhao

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Dynamic-Aware Federated Learning for Face Forgery Video Detection
Ziheng Hu | Hongtao Xie | Lingyun Yu | Xingyu Gao | Zhihua Shang | Yongdong Zhang

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Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data
Zhenghang Ren | Liu Yang | Kai Chen

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Efficient Federated Matrix Factorization Against Inference Attacks
Di Chai | Leye Wang | Kai Chen | Qiang Yang

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GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu | Yuanyuan Chen | Han Yu | Yang Liu | Lizhen Cui

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Federated Multi-view Learning for Private Medical Data Integration and Analysis
Sicong Che | Zhaoming Kong | Hao Peng | Lichao Sun | Alex D. Leow | Yong Chen | Lifang He

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FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data
Chuhan Wu | Fangzhao Wu | Lingjuan Lyu | Yongfeng Huang | Xing Xie

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The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu | Yuan Li | Xu Liu | Qinbin Li | Zhaomin Wu | Bingsheng He

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FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang | Yang Liu | Xinle Liang

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GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning
Hanchi Ren | Jingjing Deng | Xianghua Xie

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FedBERT: When Federated Learning Meets Pre-training
Yuanyishu Tian | Yao Wan | Lingjuan Lyu | Dezhong Yao | Hai Jin | Lichao Sun

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Communication-Efficient Federated Learning with Adaptive Quantization
Yuzhu Mao | Zihao Zhao | Guangfeng Yan | Yang Liu | Tian Lan | Linqi Song | Wenbo Ding

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Federated Learning for Personalized Humor Recognition
Xu Guo | Han Yu | Boyang Li | Hao Wang | Pengwei Xing | Siwei Feng | Zaiqing Nie | Chunyan Miao

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2022 Volume 13 Issue 3

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Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II
Kai Zheng | Yong Li | Cyrus Shahabi | Hongzhi Yin

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Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach
Liwei Deng | Hao Sun | Rui Sun | Yan Zhao | Han Su

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Analyzing Trajectory Gaps to Find Possible Rendezvous Region
Arun Sharma | Shashi Shekhar

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Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management
Bolong Zheng | Lingfeng Ming | Qi Hu | Zhipeng Lü | Guanfeng Liu | Xiaofang Zhou

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Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction
Senzhang Wang | Meiyue Zhang | Hao Miao | Zhaohui Peng | Philip S. Yu

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Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving
Yifan Zhang | Jinghuai Zhang | Jindi Zhang | Jianping Wang | Kejie Lu | Jeff Hong

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GPSClean: A Framework for Cleaning and Repairing GPS Data
Chenglong Fang | Feng Wang | Bin Yao | Jianqiu Xu

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Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms
Jianbin Huang | Longji Huang | Meijuan Liu | He Li | Qinglin Tan | Xiaoke Ma | Jiangtao Cui | De-Shuang Huang

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Privacy Preservation for Trajectory Publication Based on Differential Privacy
Lin Yao | Zhenyu Chen | Haibo Hu | Guowei Wu | Bin Wu

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Algorithms for Trajectory Points Clustering in Location-based Social Networks
Nan Han | Shaojie Qiao | Kun Yue | Jianbin Huang | Qiang He | Tingting Tang | Faliang Huang | Chunlin He | Chang-an Yuan

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Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks
Zhirun Zheng | Zhetao Li | Jie Li | Hongbo Jiang | Tong Li | Bin Guo

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NEAR: Neighborhood Edge AggregatoR for Graph Classification
Cheolhyeong Kim | Haeseong Moon | Hyung Ju Hwang

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Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion
Lili Wei | Congyan Lang | Liqian Liang | Songhe Feng | Tao Wang | Shidi Chen

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A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Runze Yan | Xinwen Liu | Janine M. Dutcher | Michael J. Tumminia | Daniella K. Villalba | Sheldon Cohen | J. David Creswell | Kasey G. Creswell | Jennifer Mankoff | Anind K. Dey | Afsaneh Doryab

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What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data
Yang Hu | Adriane Chapman | Guihua Wen | Wendy Hall

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Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data
Fandel Lin | Hsun-Ping Hsieh

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Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta | Srikanta Bedathur

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Self-supervised Short-text Modeling through Auxiliary Context Generation
Nurendra Choudhary | Charu C. Aggarwal | Karthik Subbian | Chandan K. Reddy

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2022 Volume 13 Issue 2

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Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2
Senzhang Wang | Junbo Zhang | Yanjie Fu | Yong Li

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Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks
Divya Saxena | Jiannong Cao

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Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction
He Li | Xuejiao Li | Liangcai Su | Duo Jin | Jianbin Huang | Deshuang Huang

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Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction
Zhilong Lu | Weifeng Lv | Zhipu Xie | Bowen Du | Guixi Xiong | Leilei Sun | Haiquan Wang

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Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System
Renhe Jiang | Zekun Cai | Zhaonan Wang | Chuang Yang | Zipei Fan | Quanjun Chen | Xuan Song | Ryosuke Shibasaki

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Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao | Hao Xue | Wei Shao | Sichen Zhao | Kyle Kai Qin | Arian Prabowo | Mohammad Saiedur Rahaman | Flora D. Salim

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Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach
Yingxue Zhang | Yanhua Li | Xun Zhou | Jun Luo | Zhi-Li Zhang

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DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction
Haomin Wen | Youfang Lin | Huaiyu Wan | Shengnan Guo | Fan Wu | Lixia Wu | Chao Song | Yinghui Xu

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Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels
Zhe Jiang | Wenchong He | Marcus Stephen Kirby | Arpan Man Sainju | Shaowen Wang | Lawrence V. Stanislawski | Ethan Shavers | E. Lynn Usery

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Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training
Wenchong He | Arpan Man Sainju | Zhe Jiang | Da Yan | Yang Zhou

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COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features
Han Bao | Xun Zhou | Yiqun Xie | Yingxue Zhang | Yanhua Li

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Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network
Bin Lu | Xiaoying Gan | Haiming Jin | Luoyi Fu | Xinbing Wang | Haisong Zhang

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Data-driven Targeted Advertising Recommendation System for Outdoor Billboard
Liang Wang | Zhiwen Yu | Bin Guo | Dingqi Yang | Lianbo Ma | Zhidan Liu | Fei Xiong

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Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression
Yulin He | Xuan Ye | Joshua Zhexue Huang | Philippe Fournier-Viger

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A Survey on Text Classification: From Traditional to Deep Learning
Qian Li | Hao Peng | Jianxin Li | Congying Xia | Renyu Yang | Lichao Sun | Philip S. Yu | Lifang He

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Location-Centered House Price Prediction: A Multi-Task Learning Approach
Guangliang Gao | Zhifeng Bao | Jie Cao | A. Kai Qin | Timos Sellis

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CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency
Weichao Liang | Zhiang Wu | Zhe Li | Yong Ge

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2022 Volume 13 Issue 1

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Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I
Kai Zheng | Yong Li | Cyrus Shahabi | Hongzhi Yin

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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs
Yuandong Wang | Hongzhi Yin | Tong Chen | Chunyang Liu | Ben Wang | Tianyu Wo | Jie Xu

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Instant Basketball Defensive Trajectory Generation
Wen-Cheng Chen | Wan-Lun Tsai | Huan-Hua Chang | Min-Chun Hu | Wei-Ta Chu

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Contrastive Trajectory Learning for Tour Recommendation
Fan Zhou | Pengyu Wang | Xovee Xu | Wenxin Tai | Goce Trajcevski

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Origin-Aware Location Prediction Based on Historical Vehicle Trajectories
Meng Chen | Qingjie Liu | Weiming Huang | Teng Zhang | Yixuan Zuo | Xiaohui Yu

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Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories
Christoffer Löffler | Luca Reeb | Daniel Dzibela | Robert Marzilger | Nicolas Witt | Björn M. Eskofier | Christopher Mutschler

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Predicting Future Locations with Semantic Trajectories
Heli Sun | Xianglan Guo | Zhou Yang | Xuguang Chu | Xinwang Liu | Liang He

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Let Trajectories Speak Out the Traffic Bottlenecks
Hui Luo | Zhifeng Bao | Gao Cong | J. Shane Culpepper | Nguyen Lu Dang Khoa

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Exploring the Risky Travel Area and Behavior of Car-hailing Service
Hongting Niu | Hengshu Zhu | Ying Sun | Xinjiang Lu | Jing Sun | Zhiyuan Zhao | Hui Xiong | Bo Lang

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Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes
Yanliang Zhu | Dongchun Ren | Yi Xu | Deheng Qian | Mingyu Fan | Xin Li | Huaxia Xia

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An Uncertainty-based Neural Network for Explainable Trajectory Segmentation
Xin Bi | Chao Zhang | Fangtong Wang | Zhixun Liu | Xiangguo Zhao | Ye Yuan | Guoren Wang

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How Members of Covert Networks Conceal the Identities of Their Leaders
Marcin Waniek | Tomasz P. Michalak | Michael J. Wooldridge | Talal Rahwan

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Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images
Shih-Chia Huang | Quoc-Viet Hoang | Da-Wei Jaw

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Mining Willing-to-Pay Behavior Patterns from Payment Datasets
Yu Ting Wen | Hui-Kuo Yang | Wen-Chih Peng

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Graph Neural Networks: Taxonomy, Advances, and Trends
Yu Zhou | Haixia Zheng | Xin Huang | Shufeng Hao | Dengao Li | Jumin Zhao

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FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
Cheng-Te Li | Cheng Hsu | Yang Zhang