ACM Transactions on Intelligent Systems and Technology (TIST) (2022)

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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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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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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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Instant Basketball Defensive Trajectory Generation.
Wen-Cheng Chen|Wan-Lun Tsai|Huan-Hua Chang|Min-Chun Hu|Wei-Ta Chu
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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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FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings.
Cheng-Te Li|Cheng Hsu|Yang Zhang
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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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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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Predicting Future Locations with Semantic Trajectories.
Heli Sun|Xianglan Guo|Zhou Yang|Xuguang Chu|Xinwang Liu|Liang He
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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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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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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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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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2022 Volume 13 Issue 2

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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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Location-Centered House Price Prediction: A Multi-Task Learning Approach.
Guangliang Gao|Zhifeng Bao|Jie Cao|A. K. Qin|Timos Sellis
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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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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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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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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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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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CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency.
Weichao Liang|Zhiang Wu|Zhe Li|Yong Ge
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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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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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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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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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Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks.
Divya Saxena|Jiannong Cao
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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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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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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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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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2022 Volume 13 Issue 3

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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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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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GPSClean: A Framework for Cleaning and Repairing GPS Data.
Chenglong Fang|Feng Wang|Bin Yao|Jianqiu Xu
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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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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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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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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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NEAR: Neighborhood Edge AggregatoR for Graph Classification.
Cheolhyeong Kim|Haeseong Moon|Hyung Ju Hwang
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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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Analyzing Trajectory Gaps to Find Possible Rendezvous Region.
Arun Sharma|Shashi Shekhar
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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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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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Privacy Preservation for Trajectory Publication Based on Differential Privacy.
Lin Yao|Zhenyu Chen|Haibo Hu|Guowei Wu|Bin Wu
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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|L. Jeff Hong
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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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Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II.
Kai Zheng|Yong Li|Cyrus Shahabi|Hongzhi Yin
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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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2022 Volume 13 Issue 4

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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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Efficient Federated Matrix Factorization Against Inference Attacks.
Di Chai|Leye Wang|Kai Chen|Qiang Yang
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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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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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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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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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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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FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training.
Yan Kang|Yang Liu|Xinle Liang
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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 Social Recommendation with Graph Neural Network.
Zhiwei Liu|Liangwei Yang|Ziwei Fan|Hao Peng|Philip S. Yu
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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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GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning.
Hanchi Ren|Jingjing Deng|Xianghua Xie
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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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FedBERT: When Federated Learning Meets Pre-training.
Yuanyishu Tian|Yao Wan|Lingjuan Lyu|Dezhong Yao|Hai Jin|Lichao Sun
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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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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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2022 Volume 13 Issue 5

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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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INN: An Interpretable Neural Network for AI Incubation in Manufacturing.
Xiaoyu Chen|Yingyan Zeng|Sungku Kang|Ran Jin
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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 Learning for Electronic Health Records.
Trung Kien Dang|Xiang Lan|Jianshu Weng|Mengling Feng
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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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SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection.
Xue Jiang|Xuebing Zhou|Jens Grossklags
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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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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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Auto-weighted Robust Federated Learning with Corrupted Data Sources.
Shenghui Li|Edith C. H. Ngai|Fanghua Ye|Thiemo Voigt
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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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A Review on Source Code Documentation.
Sawan Rai|Ramesh Chandra Belwal|Atul Gupta
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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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Gray-Box Shilling Attack: An Adversarial Learning Approach.
Zongwei Wang|Min Gao|Jundong Li|Junwei Zhang|Jiang Zhong
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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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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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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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CLC: A Consensus-based Label Correction Approach in Federated Learning.
Bixiao Zeng|Xiaodong Yang|Yiqiang Chen|Hanchao Yu|Yingwei Zhang
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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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2022 Volume 13 Issue 6

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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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Shifting Capsule Networks from the Cloud to the Deep Edge.
Miguel Costa|Diogo Costa|Tiago Gomes|Sandro Pinto
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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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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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A Holistic Approach for Role Inference and Action Anticipation in Human Teams.
Junyi Dong|Qingze Huo|Silvia Ferrari
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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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Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes.
Vinayak Gupta|Srikanta Bedathur|Sourangshu Bhattacharya|Abir De
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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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Steering-by-example for Progressive Visual Analytics.
Marius Hogräfer|Marco Angelini|Giuseppe Santucci|Hans-Jörg Schulz
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Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.
Yue Hu|Ao Qu|Dan Work
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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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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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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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Privacy-preserving Collaborative Filtering by Distributed Mediation.
Tamir Tassa|Alon Ben Horin
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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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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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CAFE and SOUP: Toward Adaptive VDI Workload Prediction.
Yao Zhang|Wenping Fan|Qichen Hao|Xinya Wu|Min-Ling Zhang
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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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Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal.
Qian Zheng|Yueming Wang|Zhenfang Hu|Xiaobo Zhang|Zhaohui Wu|Gang Pan