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ORCIDACM Transactions on Intelligent Systems and Technology, Volume 14
Volume 14, Number 1, February 2023
- Xiaojin Zhang
, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. 1:1-1:35 - Erzhuo Shao, Zhenyu Han, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Interior Individual Trajectory Simulation with Population Distribution Constraint. 2:1-2:17 - Philipp Danzinger, Tobias Geibinger, David Janneau, Florian Mischek, Nysret Musliu, Christian Poschalko:
A System for Automated Industrial Test Laboratory Scheduling. 3:1-3:27 - Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. 4:1-4:59 - Pan Li, Brian Brost, Alexander Tuzhilin:
Adversarial Learning for Cross Domain Recommendations. 5:1-5:25 - Shaohan Chen, Chuanhou Gao, Ping Zhang:
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability. 6:1-6:22 - Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan:
How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies. 7:1-7:22 - Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li:
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information. 8:1-8:27 - Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang:
Domain Generalization for Activity Recognition via Adaptive Feature Fusion. 9:1-9:21 - Lucas C. Freitas, Valter A. M. Martins, Marilton S. de Aguiar, Lisane B. de Brisolara, Paulo R. Ferreira Jr.:
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection. 10:1-10:24 - Wenlu Yang, Hongjun Wang, Yinghui Zhang, Zehao Liu, Tianrui Li:
Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder. 11:1-11:18 - Jianqiu Xu, Hua Lu, Zhifeng Bao:
A Query Optimizer for Range Queries over Multi-Attribute Trajectories. 12:1-12:28 - Wendi Wu, Zongren Li, Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu, Kunlun He:
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. 13:1-13:22 - Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming:
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. 14:1-14:22 - Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang:
Redundant Label Learning via Subspace Representation and Global Disambiguation. 15:1-15:19 - Pedro H. Barros, Fabiane Queiroz, Flavio V. D. de Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos:
A New Similarity Space Tailored for Supervised Deep Metric Learning. 16:1-16:25 - Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Balanced and Recalibrated Network for Medical Code Prediction. 17:1-17:20 - Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan:
Mobility Inference on Long-Tailed Sparse Trajectory. 18:1-18:26 - Luis A. Leiva, Asutosh Hota, Antti Oulasvirta:
Describing UI Screenshots in Natural Language. 19:1-19:28
Volume 14, Number 2, April 2023
- Jia Li, Dandan Song, Zhijing Wu:
A Semantically Driven Hybrid Network for Unsupervised Entity Alignment. 20:1-20:21 - Lei Li, Yongfeng Zhang, Li Chen:
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. 21:1-21:24 - Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. 22:1-22:25 - Amulya Gupta, Zhu Zhang:
Neural Topic Modeling via Discrete Variational Inference. 23:1-23:33 - Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, Yun Li:
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. 24:1-24:20 - Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang:
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. 25:1-25:16 - Souvika Sarkar, Biddut Sarker Bijoy, Syeda Jannatus Saba, Dongji Feng, Yash Mahajan, Mohammad Ruhul Amin, Sheikh Rabiul Islam, Shubhra Kanti Karmaker Santu:
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making. 26:1-26:28 - Donglin Zhang, Xiao-Jun Wu, Guoqing Chen:
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval. 27:1-27:18 - Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu C. Aggarwal:
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. 28:1-28:29 - Jian Kang, Dan Lin:
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop. 29:1-29:24 - Qing Tian, Shun Peng, Tinghuai Ma:
Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples. 30:1-30:17 - Hao Wu, Jianyang Gu, Xiaojin Fan, He Li, Lidong Xie, Jian Zhao:
3D-Guided Frontal Face Generation for Pose-Invariant Recognition. 31:1-31:21 - Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. 32:1-32:24 - Meng Xu, Jianping Wang:
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing. 33:1-33:27 - Jieru Tian, Yongxin Wang, Zhenduo Chen, Xin Luo, Xinshun Xu:
Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer. 34:1-34:17 - Guozhen Zhang, Jinhui Yi, Jian Yuan, Yong Li, Depeng Jin:
DAS: Efficient Street View Image Sampling for Urban Prediction. 35:1-35:20 - Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng:
Spatio-temporal Graph Learning for Epidemic Prediction. 36:1-36:25 - Yujie Fang, Xin Li, Rui Ye, Xiaoyan Tan, Peiyao Zhao, Mingzhong Wang:
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment. 37:1-37:23 - Chunyong Yin, Shuangshuang Chen, Zhichao Yin:
Clustering-based Active Learning Classification towards Data Stream. 38:1-38:18
Volume 14, Number 3, June 2023
- Amirhossein Zaji, Zheng Liu, Takashi Bando, Lihua Zhao:
Ontology-Based Driving Simulation for Traffic Lights Optimization. 39:1-39:26 - Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding:
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. 40:1-40:23 - Gilda Manfredi, Nicola Capece, Ugo Erra, Monica Gruosso:
TreeSketchNet: From Sketch to 3D Tree Parameters Generation. 41:1-41:29 - Wenshan Wang, Su Yang, Weishan Zhang:
Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple Modalities. 42:1-42:16 - Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin:
Reinforced Explainable Knowledge Concept Recommendation in MOOCs. 43:1-43:20 - Shuo Sun, Rundong Wang, Bo An:
Reinforcement Learning for Quantitative Trading. 44:1-44:29 - Zeyu Dai, Shengcai Liu, Qing Li, Ke Tang:
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. 45:1-45:20 - Xing Li, Wei Wei, Ruizhi Zhang, Zhenyu Shi, Zhiming Zheng, Xiangnan Feng:
Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network. 46:1-46:21 - Mingjian Cai, Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yingfeng Cai, Sirui Tian:
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning. 47:1-47:24 - Chunyong Yin, Sun Zhang, Qingkui Zeng:
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment. 48:1-48:17 - En Xu, Zhiwen Yu, Zhuo Sun, Bin Guo, Lina Yao:
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity. 49:1-49:19 - Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbin Zheng, Chao Song, Lixia Wu:
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. 50:1-50:22 - Jianbiao Mei, Mengmeng Wang, Yu Yang, Yanjun Li, Yong Liu:
Fast Real-Time Video Object Segmentation with a Tangled Memory Network. 51:1-51:21 - Hu Wang, Hui Li, Meng Wang, Jiangtao Cui:
Toward Balancing the Efficiency and Effectiveness in k-Facility Relocation Problem. 52:1-52:24 - Qilun Luo, Ming Yang, Wen Li, Mingqing Xiao:
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach. 53:1-53:29 - Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato:
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling. 54:1-54:29 - Lei Gao, Ling Guan:
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation. 55:1-55:24 - Trasha Gupta, Rajni Jindal, Indu Sreedevi:
Empirical Review of Various Thermography-based Computer-aided Diagnostic Systems for Multiple Diseases. 56:1-56:33 - Wun-Ting Yang, Chiao-Ting Chen, Chuan-Yun Sang, Szu-Hao Huang:
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation. 57:1-57:25
Volume 14, Number 4, August 2023
- Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Wenjian He, Xiaofeng Liao:
Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework. 58:1-58:25 - Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Collaborative Filtering. 59:1-59:18 - Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li:
UrbanKG: An Urban Knowledge Graph System. 60:1-60:25 - Tong Li, Yanxin Xi, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui:
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. 61:1-61:32 - Abdullah Baradaaji, Fadi Dornaika:
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs. 62:1-62:25 - Yujia Gao, Pengfei Wang, Liang Liu, Chi Zhang, Huadong Ma:
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. 63:1-63:24 - Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Dual Graph Convolution Architecture Search for Travel Time Estimation. 64:1-64:23 - Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong:
Noise-aware Local Model Training Mechanism for Federated Learning. 65:1-65:22 - Tianying Liu, Lu Zhang, Yang Wang, Jihong Guan, Yanwei Fu, Jiajia Zhao, Shuigeng Zhou:
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison. 66:1-66:36 - Lingling Xu, Haoran Xie, Zongxi Li, Fu Lee Wang, Weiming Wang, Qing Li:
Contrastive Learning Models for Sentence Representations. 67:1-67:34 - Luke Kljucaric, Alan D. George:
Deep Learning Inferencing with High-performance Hardware Accelerators. 68:1-68:25 - Yanhang Shi, Xue Li, Siguang Chen:
Skin Lesion Intelligent Diagnosis in Edge Computing Networks: An FCL Approach. 69:1-69:22 - Li Sun, Zhongbao Zhang, Gen Li, Pengxin Ji, Sen Su, Philip S. Yu:
MC2: Unsupervised Multiple Social Network Alignment. 70:1-70:22 - Tong Li, Yong Li, Mingyang Zhang, Sasu Tarkoma, Pan Hui:
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior. 71:1-71:21 - Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Renata Borovica-Gajic:
Real-time Road Network Optimization with Coordinated Reinforcement Learning. 72:1-72:30 - Hanchen Yang, Wengen Li, Siyun Hou, Jihong Guan, Shuigeng Zhou:
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction. 73:1-73:19 - Jeongwhan Choi, Noseong Park:
Graph Neural Rough Differential Equations for Traffic Forecasting. 74:1-74:27 - Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi, Vasyl Skydanienko:
Data-Aware Declarative Process Mining with SAT. 75:1-75:26 - Kun Guo, Wenzhong Guo, Enjie Ye, Yutong Fang, Jiachen Zheng, Ximeng Liu, Kai Chen:
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection. 76:1-76:25
Volume 14, Number 5, October 2023
- Qibin Li, Nianmin Yao, Nai Zhou, Jian Zhao, Yanan Zhang:
A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction. 77:1-77:18 - Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, Lichuan Gu:
Causal Feature Selection in the Presence of Sample Selection Bias. 78:1-78:18 - Mudan Wang, Yuan Yuan, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li, Depeng Jin:
Discovering Causes of Traffic Congestion via Deep Transfer Clustering. 79:1-79:24 - Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. 80:1-80:29 - Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. 81:1-81:21 - Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu:
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. 82:1-82:21 - Sofie Goethals, Kenneth Sörensen, David Martens:
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks. 83:1-83:24 - Zhenyu Han, Siran Ma, Changzheng Gao, Erzhuo Shao, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Disease Simulation in Airport Scenario Based on Individual Mobility Model. 84:1-84:24 - Guangsheng Yu, Xu Wang, Caijun Sun, Ping Yu, Wei Ni, Ren Ping Liu:
Obfuscating the Dataset: Impacts and Applications. 85:1-85:15 - Eddy Maddalena, Luis-Daniel Ibáñez, Neal Reeves, Elena Simperl:
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives. 86:1-86:26 - Anastasia Zhadan, Alexander Allahverdyan, Ivan Kondratov, Vikenty Mikheev, Ovanes L. Petrosian, Aleksei Romanovskii, Vitaliy Kharin:
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling. 87:1-87:26 - Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee:
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification. 88:1-88:22 - Quratul-ain Mahesar, Simon Parsons:
Argument Schemes and a Dialogue System for Explainable Planning. 89:1-89:25 - Bangchao Deng, Dingqi Yang, Bingqing Qu, Benjamin Fankhauser, Philippe Cudré-Mauroux:
Robust Location Prediction over Sparse Spatiotemporal Trajectory Data: Flashback to the Right Moment! 90:1-90:24 - Javier Domínguez-Martín, María José Gómez-Silva, Arturo de la Escalera:
Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View. 91:1-91:21 - Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. 92:1-92:23 - Yupeng Zhu, Yanxiang Chen, Zuxing Zhao, Xueliang Liu, Jinlin Guo:
Local Self-attention-based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection. 93:1-93:18
- Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí:
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions. 94:1-94:46 - Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang:
Fairness in Recommendation: Foundations, Methods, and Applications. 95:1-95:48
Volume 14, Number 6, December 2023
- Shang-Hua Teng:
"Intelligent Heuristics Are the Future of Computing". 96:1-96:39
- Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori:
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification. 97:1-97:50
- Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility, and Efficiency in Federated Learning. 98:1-98:32 - Bolei Chen, Yongzheng Cui, Ping Zhong, Wang Yang, Yixiong Liang, Jianxin Wang:
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots. 99:1-99:24 - Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan:
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation. 100:1-100:24 - Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-World Robustness for Deep Networks. 101:1-101:16 - Rui Yao, Ying Chen, Yong Zhou, Fuyuan Hu, Jiaqi Zhao, Bing Liu, Zhiwen Shao:
Attention-guided Adversarial Attack for Video Object Segmentation. 102:1-102:22 - Rui Lin, Jing Fan, Haifeng Wu:
Multi-aspect Understanding with Cooperative Graph Attention Networks for Medical Dialogue Information Extraction. 103:1-103:18 - Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls:
Meaning-Sensitive Text Data Augmentation with Intelligent Masking. 104:1-104:20 - Chu-Chen Li, Cheng-Te Li, Shou-De Lin:
Learning Privacy-Preserving Embeddings for Image Data to Be Published. 105:1-105:26 - Shuaiyi L(y)u, Kai Wang, Yuliang Wei, Hongri Liu, Qilin Fan, Bailing Wang:
GNN-based Advanced Feature Integration for ICS Anomaly Detection. 106:1-106:32 - Meng Xu, Yechao She, Yang Jin, Jianping Wang:
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning. 107:1-107:28 - Nhu-Thuat Tran, Hady W. Lauw:
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems. 108:1-108:28 - Jianhang Zhou, Guan-Cheng Wang, Shaoning Zeng, Bob Zhang:
Learning with Euler Collaborative Representation for Robust Pattern Analysis. 109:1-109:25 - Oscar Gabriel Reyes Pupo, Eduardo Pérez:
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model. 110:1-110:21 - Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding. 111:1-111:20 - Heli Sun, Chen Cao, Xuguang Chu, Tingting Hu, Junzhi Lu, Liang He, Zhi Wang, Hui He, Hui Xiong:
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction. 112:1-112:21 - Ao Qu, Yihong Tang, Wei Ma:
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles. 113:1-113:22 - Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie:
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. 114:1-114:25
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