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ORCIDACM Transactions on Intelligent Systems and Technology, Volume 12
Volume 12, Number 1, February 2021
Regular Papers
- Jens Adamczak, Yashar Deldjoo
, Farshad Bakhshandegan Moghaddam, Peter Knees, Gerard Paul Leyson, Philipp Monreal:
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. 1:1-1:20 - Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang:
Industrial Federated Topic Modeling. 2:1-2:22 - Mingxing Duan, Kenli Li, Keqin Li, Qi Tian:
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction. 3:1-3:22 - Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. 4:1-4:19 - Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. 5:1-5:22 - Mohamed Bouguessa, Khaled Nouri:
BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering. 6:1-6:26 - Adil Alim, Jin-Hee Cho, Feng Chen:
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. 7:1-7:26 - Chih-Te Lai, Cheng-Te Li, Shou-De Lin:
Deep Energy Factorization Model for Demographic Prediction. 8:1-8:16 - Shuo Liu, Mingliang Gao, Vijay John, Zheng Liu, Erik Blasch:
Deep Learning Thermal Image Translation for Night Vision Perception. 9:1-9:18 - Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin:
A Theoretical Revisit to Linear Convergence for Saddle Point Problems. 10:1-10:17 - Mengxiang Wang, Wang-Chien Lee, Tao-Yang Fu, Ge Yu:
On Representation Learning for Road Networks. 11:1-11:27 - Yiyi Zhou, Rongrong Ji, Jinsong Su, Jiaquan Yao:
Uncovering Media Bias via Social Network Learning. 12:1-12:12 - Guang Wang, Zhihan Fang, Xiaoyang Xie, Shuai Wang, Huijun Sun, Fan Zhang, Yunhuai Liu, Desheng Zhang:
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses. 13:1-13:26
Volume 12, Number 2, March 2021
Survey Paper
- Bin Guo, Hao Wang, Yasan Ding, Wei Wu, Shaoyang Hao, Yueqi Sun, Zhiwen Yu:
Conditional Text Generation for Harmonious Human-Machine Interaction. 14:1-14:50
- Mauajama Firdaus, Nidhi Thakur, Asif Ekbal:
Aspect-Aware Response Generation for Multimodal Dialogue System. 15:1-15:33 - Yoonji Baek, Unil Yun, Heonho Kim, Hyoju Nam, Hyunsoo Kim, Jerry Chun-Wei Lin, Bay Vo, Witold Pedrycz:
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams. 16:1-16:27 - Felix Winter, Nysret Musliu:
Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry. 17:1-17:25 - Jessamyn Dahmen, Diane J. Cook:
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data. 18:1-18:18 - Masoud Mansoury, Robin Burke, Bamshad Mobasher:
Flatter Is Better: Percentile Transformations for Recommender Systems. 19:1-19:16 - Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. 20:1-20:20 - Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan, Safiullah Faizullah, Muhammad Asad Khan:
Predicting Attributes of Nodes Using Network Structure. 21:1-21:23 - Jiali Mao, Jiaye Liu, Cheqing Jin, Aoying Zhou:
Feature Grouping-based Trajectory Outlier Detection over Distributed Streams. 22:1-22:23 - Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang:
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. 23:1-23:21 - Md. Abul Bashar, Richi Nayak:
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. 24:1-24:24 - Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. 25:1-25:22 - Qianli Zhou, Tianrui Hui, Rong Wang, Hai-Miao Hu, Si Liu:
Attentive Excitation and Aggregation for Bilingual Referring Image Segmentation. 26:1-26:17
Volume 12, Number 3, July 2021
- Wanqiu Cui, Junping Du, Dawei Wang, Feifei Kou, Zhe Xue:
MVGAN: Multi-View Graph Attention Network for Social Event Detection. 27:1-27:24 - Yan Liu, Bin Guo, Daqing Zhang, Djamal Zeghlache, Jingmin Chen, Sizhe Zhang, Dan Zhou, Xinlei Shi, Zhiwen Yu:
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer. 28:1-28:23 - Munish Bhatia:
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry. 29:1-29:23 - Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng:
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. 30:1-30:19 - Nour Eldin Elmadany, Yifeng He, Ling Guan:
Improving Action Recognition via Temporal and Complementary Learning. 31:1-31:24 - Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer. 32:1-32:16 - Chunyong Yin, Haoqi Cuan, Yuhang Zhu, Zhichao Yin:
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning. 33:1-33:19 - Amulya Gupta, Zhu (Drew) Zhang:
Vector-Quantization-Based Topic Modeling. 34:1-34:30 - Shilei Li, Meng Li, Jiongming Su, Shaofei Chen, Zhimin Yuan, Qing Ye:
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning. 35:1-35:21 - Thanh Hong-Phuoc, Ling Guan:
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding. 36:1-36:19
Volume 12, Number 4, August 2021
- Zhenchang Xia, Jia Wu, Libing Wu, Yanjiao Chen, Jian Yang, Philip S. Yu:
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks. 37:1-37:30 - Jiajie Tian, Qihao Tang, Rui Li, Zhu Teng, Baopeng Zhang, Jianping Fan:
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification. 38:1-38:18 - Huandong Wang, Yong Li, Gang Wang, Depeng Jin:
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces. 39:1-39:28 - Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha:
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. 40:1-40:21 - Guodao Sun, Hao Wu, Lin Zhu, Chaoqing Xu, Haoran Liang, Binwei Xu, Ronghua Liang:
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model. 41:1-41:28 - Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang:
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. 42:1-42:25 - Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang:
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. 43:1-43:23 - Stanley Ebhohimhen Abhadiomhen, Zhiyang Wang, Xiangjun Shen, Jianping Fan:
Multiview Common Subspace Clustering via Coupled Low Rank Representation. 44:1-44:25 - Reyhan Aydogan, Özgür Kafali, Furkan Arslan, Catholijn M. Jonker, Munindar P. Singh:
Nova: Value-based Negotiation of Norms. 45:1-45:29 - Marco Bozzano, Alessandro Cimatti, Marco Roveri:
A Comprehensive Approach to On-board Autonomy Verification and Validation. 46:1-46:29 - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. 47:1-47:26 - Teng Fu, Guido Zampieri, David Hodgson, Claudio Angione, Yifeng Zeng:
Modeling Customer Experience in a Contact Center through Process Log Mining. 48:1-48:21 - Amin Vahedian Khezerlou, Xun Zhou, Xinyi Li, W. Nick Street, Yanhua Li:
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features. 49:1-49:25 - Chenyu Hou, Bin Cao, Sijie Ruan, Jing Fan:
TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline. 50:1-50:24 - Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen:
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. 51:1-51:16
Volume 12, Number 5, October 2021
- Changsen Yuan, Heyan Huang, Chong Feng:
Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction. 52:1-52:21 - Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath:
An Attentive Survey of Attention Models. 53:1-53:32 - Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li:
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. 54:1-54:29 - Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu:
Collaborative Local-Global Learning for Temporal Action Proposal. 55:1-55:14 - Congliang Chen, Li Shen, Hao-Zhi Huang, Wei Liu:
Quantized Adam with Error Feedback. 56:1-56:26 - Jinjin Guo, Zhiguo Gong, Longbing Cao:
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream. 57:1-57:25 - Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu:
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving. 58:1-58:19 - Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. 59:1-59:23 - Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao:
Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network. 60:1-60:18 - Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu:
Local Graph Edge Partitioning. 61:1-61:25 - Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou:
Significant DBSCAN+: Statistically Robust Density-based Clustering. 62:1-62:26 - Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. 63:1-63:19 - Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty:
Detecting and Analyzing Collusive Entities on YouTube. 64:1-64:28 - Yu Wang, Yuelin Wang, Kai Dang, Jie Liu, Zhuo Liu:
A Comprehensive Survey of Grammatical Error Correction. 65:1-65:51 - Georgios Koutroulis, Leo Botler, Belgin Mutlu, Konrad Diwold, Kay Römer, Roman Kern:
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines. 66:1-66:27
Volume 12, Number 6, December 2021
- Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1. 67:1-67:3 - Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie:
Temporal Hierarchical Graph Attention Network for Traffic Prediction. 68:1-68:21 - Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li:
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. 69:1-69:24 - Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Rui Mao, Hongping Shu, Qiang He, Xindong Wu:
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model. 70:1-70:24 - Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou, Bhagwan Das, Munsif Ali Jatoi, Muhammad Zawish, Yi Du, Xuezhi Wang:
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution. 71:1-71:20 - Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu:
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. 72:1-72:19 - Tianlun Dai, Bohan Li, Ziqiang Yu, Xiangrong Tong, Meng Chen, Gang Chen:
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks. 73:1-73:24 - Pengzhan Guo, Keli Xiao, Zeyang Ye, Wei Zhu:
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning. 74:1-74:21 - Jia-Jie Xu, Saijun Xu, Rui Zhou, Chengfei Liu, An Liu, Lei Zhao:
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time. 75:1-75:14 - Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, Shashi Shekhar:
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. 76:1-76:21 - David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin:
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. 77:1-77:26 - Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. 78:1-78:23
- Martin Strohmeier, Matthew Smith, Vincent Lenders, Ivan Martinovic:
Classi-Fly: Inferring Aircraft Categories from Open Data. 79:1-79:23 - Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. 80:1-80:28 - Paolo Notaro, Jorge Cardoso, Michael Gerndt:
A Survey of AIOps Methods for Failure Management. 81:1-81:45 - Jiaqi Zhao, Yong Zhou, Boyu Shi, Jingsong Yang, Di Zhang, Rui Yao:
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation. 82:1-82:20
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