ACM Transactions on Intelligent Systems and Technology (2021)
Content
- 2021 Volume 12 Issue 6 16 papers
- 2021 Volume 12 Issue 5 15 papers
- 2021 Volume 12 Issue 4 15 papers
- 2021 Volume 12 Issue 3 10 papers
- 2021 Volume 12 Issue 2 13 papers
- 2021 Volume 12 Issue 1 13 papers
2021 Volume 12 Issue 6
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1
Senzhang Wang
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Junbo Zhang
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Yanjie Fu
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Yong Li
Temporal Hierarchical Graph Attention Network for Traffic Prediction
Ling Huang
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Xing-Xing Liu
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Shu-Qiang Huang
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Chang-Dong Wang
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Wei Tu
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Jia-Meng Xie
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Shuai Tang
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Wendi Xie
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling
Haoyi Zhou
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Hao Peng
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Jieqi Peng
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Shuai Zhang
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Jianxin Li
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model
Shaojie Qiao
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Nan Han
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Jianbin Huang
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Kun Yue
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Rui Mao
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Hongping Shu
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Qiang He
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Xindong Wu
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
Fayaz Ali Dharejo
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Farah Deeba
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Yuanchun Zhou
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Bhagwan Das
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Munsif Ali Jatoi
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Muhammad Zawish
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Yi Du
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Xuezhi Wang
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents
Yifan He
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Zhao Li
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Lei Fu
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Anhui Wang
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Peng Zhang
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Shuigeng Zhou
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Ji Zhang
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Ting Yu
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks
Tianlun Dai
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Bohan Li
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Ziqiang Yu
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Xiangrong Tong
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Meng Chen
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Gang Chen
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
Pengzhan Guo
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Keli Xiao
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Zeyang Ye
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Wei Zhu
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time
Jia-Jie Xu
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Saijun Xu
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Rui Zhou
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Chengfei Liu
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An Liu
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Lei Zhao
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach
Jayant Gupta
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Carl Molnar
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Yiqun Xie
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Joe Knight
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Shashi Shekhar
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning
David Alexander Tedjopurnomo
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Xiucheng Li
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Zhifeng Bao
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Gao Cong
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Farhana Murtaza Choudhury
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A. Kai Qin
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling
Shuo Tao
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Jingang Jiang
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Defu Lian
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Kai Zheng
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Enhong Chen
Classi-Fly: Inferring Aircraft Categories from Open Data
Martin Strohmeier
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Matthew Smith
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Vincent Lenders
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Ivan Martinovic
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models
Jie Qiao
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Ruichu Cai
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Kun Zhang
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Zhenjie Zhang
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Zhifeng Hao
A Survey of AIOps Methods for Failure Management
Paolo Notaro
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Jorge Cardoso
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Michael Gerndt
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation
Jiaqi Zhao
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Yong Zhou
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Boyu Shi
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Jingsong Yang
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Di Zhang
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Rui Yao
2021 Volume 12 Issue 5
Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction
Changsen Yuan
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Heyan Huang
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Chong Feng
An Attentive Survey of Attention Models
Sneha Chaudhari
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Varun Mithal
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Gungor Polatkan
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Rohan Ramanath
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Qiong Wu
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Adam Hare
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Sirui Wang
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Yuwei Tu
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Zhenming Liu
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Christopher G. Brinton
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Yanhua Li
Collaborative Local-Global Learning for Temporal Action Proposal
Yisheng Zhu
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Hu Han
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Guangcan Liu
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Qingshan Liu
Quantized Adam with Error Feedback
Congliang Chen
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Li Shen
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Hao-Zhi Huang
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Wei Liu
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream
Jinjin Guo
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Zhiguo Gong
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Longbing Cao
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving
Yuan Cheng
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Yuchao Yang
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Hai-Bao Chen
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Ngai Wong
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Hao Yu
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Chuanbo Hu
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Minglei Yin
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Bin Liu
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Xin Li
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Yanfang Ye
Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network
Min Wang
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Congyan Lang
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Liqian Liang
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Songhe Feng
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Tao Wang
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Yutong Gao
Local Graph Edge Partitioning
Shengwei Ji
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Chenyang Bu
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Lei Li
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Xindong Wu
Significant DBSCAN+: Statistically Robust Density-based Clustering
Yiqun Xie
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Xiaowei Jia
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Shashi Shekhar
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Han Bao
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Xun Zhou
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation
Xingjian Li
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Haoyi Xiong
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Zeyu Chen
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Jun Huan
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Cheng-Zhong Xu
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Dejing Dou
Detecting and Analyzing Collusive Entities on YouTube
Hridoy Sankar Dutta
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Mayank Jobanputra
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Himani Negi
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Tanmoy Chakraborty
A Comprehensive Survey of Grammatical Error Correction
Yu Wang
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Yuelin Wang
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Kai Dang
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Jie Liu
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Zhuo Liu
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines
Georgios Koutroulis
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Leo Botler
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Belgin Mutlu
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Konrad Diwold
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Kay Römer
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Roman Kern
2021 Volume 12 Issue 4
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks
Zhenchang Xia
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Jia Wu
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Libing Wu
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Yanjiao Chen
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Jian Yang
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Philip S. Yu
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification
Jiajie Tian
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Qihao Tang
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Rui Li
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Zhu Teng
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Baopeng Zhang
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Jianping Fan
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces
Huandong Wang
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Yong Li
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Gang Wang
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Depeng Jin
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification
Xiangjun Shen
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Kou Lu
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Sumet Mehta
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Jianming Zhang
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Weifeng Liu
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Jianping Fan
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Zhengjun Zha
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model
Guodao Sun
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Hao Wu
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Lin Zhu
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Chaoqing Xu
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Haoran Liang
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Binwei Xu
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Ronghua Liang
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
Daheng Wang
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Qingkai Zeng
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Nitesh V. Chawla
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Meng Jiang
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
Anbu Huang
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Yang Liu
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Tianjian Chen
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Yongkai Zhou
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Quan Sun
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Hongfeng Chai
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Qiang Yang
Multiview Common Subspace Clustering via Coupled Low Rank Representation
Stanley Ebhohimhen Abhadiomhen
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Zhiyang Wang
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Xiangjun Shen
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Jianping Fan
Nova: Value-based Negotiation of Norms
Reyhan Aydogan
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Özgür Kafali
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Furkan Arslan
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Catholijn M. Jonker
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Munindar P. Singh
A Comprehensive Approach to On-board Autonomy Verification and Validation
Marco Bozzano
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Alessandro Cimatti
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Marco Roveri
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting
Etienne Gael Tajeuna
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Mohamed Bouguessa
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Shengrui Wang
Modeling Customer Experience in a Contact Center through Process Log Mining
Teng Fu
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Guido Zampieri
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David Hodgson
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Claudio Angione
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Yifeng Zeng
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features
Amin Vahedian Khezerlou
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Xun Zhou
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Xinyi Li
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W. Nick Street
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Yanhua Li
TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline
Chenyu Hou
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Bin Cao
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Sijie Ruan
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Jing Fan
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations
Qi Zhao
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Chuqiao Chen
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Guangcan Liu
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Qingshan Liu
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Shengyong Chen
2021 Volume 12 Issue 3
MVGAN: Multi-View Graph Attention Network for Social Event Detection
Wanqiu Cui
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Junping Du
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Dawei Wang
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Feifei Kou
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Zhe Xue
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer
Yan Liu
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Bin Guo
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Daqing Zhang
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Djamal Zeghlache
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Jingmin Chen
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Sizhe Zhang
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Dan Zhou
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Xinlei Shi
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Zhiwen Yu
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry
Munish Bhatia
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning
Di Jiang
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Conghui Tan
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Jinhua Peng
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Chaotao Chen
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Xueyang Wu
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Weiwei Zhao
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Yuanfeng Song
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Yongxin Tong
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Chang Liu
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Qian Xu
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Qiang Yang
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Li Deng
Improving Action Recognition via Temporal and Complementary Learning
Nour Eldin Elmadany
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Yifeng He
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Ling Guan
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer
Yukai Shi
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Sen Zhang
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Chenxing Zhou
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Xiaodan Liang
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Xiaojun Yang
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Liang Lin
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning
Chunyong Yin
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Haoqi Cuan
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Yuhang Zhu
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Zhichao Yin
Vector-Quantization-Based Topic Modeling
Amulya Gupta
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Zhu Zhang
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning
Shilei Li
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Meng Li
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Jiongming Su
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Shaofei Chen
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Zhimin Yuan
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Qing Ye
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
Thanh Hong-Phuoc
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Ling Guan
2021 Volume 12 Issue 2
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo
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Hao Wang
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Yasan Ding
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Wei Wu
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Shaoyang Hao
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Yueqi Sun
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Zhiwen Yu
Aspect-Aware Response Generation for Multimodal Dialogue System
Mauajama Firdaus
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Nidhi Thakur
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Asif Ekbal
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams
Yoonji Baek
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Unil Yun
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Heonho Kim
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Hyoju Nam
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Hyunsoo Kim
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Jerry Chun-Wei Lin
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Bay Vo
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Witold Pedrycz
Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry
Felix Winter
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Nysret Musliu
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data
Jessamyn Dahmen
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Diane J. Cook
Flatter Is Better: Percentile Transformations for Recommender Systems
Masoud Mansoury
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Robin Burke
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Bamshad Mobasher
Disentangled Item Representation for Recommender Systems
Zeyu Cui
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Feng Yu
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Shu Wu
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Qiang Liu
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Liang Wang
Predicting Attributes of Nodes Using Network Structure
Sarwan Ali
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Muhammad Haroon Shakeel
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Imdadullah Khan
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Safiullah Faizullah
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Muhammad Asad Khan
Feature Grouping-based Trajectory Outlier Detection over Distributed Streams
Jiali Mao
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Jiaye Liu
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Cheqing Jin
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Aoying Zhou
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Zijian Li
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Ruichu Cai
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Hong Wei Ng
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Marianne Winslett
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Tom Z. J. Fu
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Boyan Xu
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Xiaoyan Yang
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Zhenjie Zhang
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task
Md. Abul Bashar
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Richi Nayak
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Jianguo Chen
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Kenli Li
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Keqin Li
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Philip S. Yu
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Zeng Zeng
Attentive Excitation and Aggregation for Bilingual Referring Image Segmentation
Qianli Zhou
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Tianrui Hui
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Rong Wang
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Hai-Miao Hu
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Si Liu
2021 Volume 12 Issue 1
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019
Jens Adamczak
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Yashar Deldjoo
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Farshad Bakhshandegan Moghaddam
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Peter Knees
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Gerard Paul Leyson
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Philipp Monreal
Industrial Federated Topic Modeling
Di Jiang
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Yongxin Tong
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Yuanfeng Song
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Xueyang Wu
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Weiwei Zhao
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Jinhua Peng
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Rongzhong Lian
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Qian Xu
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Qiang Yang
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction
Mingxing Duan
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Kenli Li
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Keqin Li
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Qi Tian
Self-weighted Robust LDA for Multiclass Classification with Edge Classes
Caixia Yan
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Xiaojun Chang
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Minnan Luo
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Qinghua Zheng
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Xiaoqin Zhang
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Zhihui Li
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Feiping Nie
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining
Junyu Xuan
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Jie Lu
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Guangquan Zhang
BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering
Mohamed Bouguessa
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Khaled Nouri
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty
Adil Alim
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Jin-Hee Cho
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Feng Chen
Deep Energy Factorization Model for Demographic Prediction
Chih-Te Lai
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Cheng-Te Li
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Shou-De Lin
Deep Learning Thermal Image Translation for Night Vision Perception
Shuo Liu
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Mingliang Gao
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Vijay John
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Zheng Liu
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Erik Blasch
A Theoretical Revisit to Linear Convergence for Saddle Point Problems
Wendi Wu
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Yawei Zhao
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En Zhu
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Xinwang Liu
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Xingxing Zhang
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Lailong Luo
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Shixiong Wang
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Jianping Yin
On Representation Learning for Road Networks
Meng-xiang Wang
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Wang-Chien Lee
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Tao-Yang Fu
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Ge Yu
Uncovering Media Bias via Social Network Learning
Yiyi Zhou
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Rongrong Ji
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Jinsong Su
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Jiaquan Yao
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses
Guang Wang
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Zhihan Fang
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Xiaoyang Xie
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Shuai Wang
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Huijun Sun
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Fan Zhang
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Yunhuai Liu
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Desheng Zhang