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ORCIDFang Chen 0001
Person information
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, NSW, Australia
- affiliation: National ICT Australia (NICTA), Sydney, Australia
Other persons with the same name
- Fang Chen — disambiguation page
- Fang Chen 0002
![[0000-0002-8559-0112]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8559-0112")
— Virginia Tech, Center for Power Electronics Systems, Blacksburg, VA, USA - Fang Chen 0003 — Guangxi University, School of Computer, Electronics and Information, Nanning, China
- Fang Chen 0004 — Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing, China
- Fang Chen 0005 — TU Dresden, Faculty of Electrical and Computer Engineering, Germany
- Fang Chen 0006 — Chalmers University of Technology, Department of Applied IT, Gothenburg, Sweden
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2020 – today
- 2023
[j49]Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen:
Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 247-263 (2023)- [i17]Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Fang Chen:
GANExplainer: GAN-based Graph Neural Networks Explainer. CoRR abs/2301.00012 (2023) - 2022
- [j48]Lihang Wen, Jianlong Zhou, Weidong Huang, Fang Chen:
A Survey of Facial Capture for Virtual Reality. IEEE Access 10: 6042-6052 (2022) - [j47]Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen, Andreas Holzinger:
Fairness and Explanation in AI-Informed Decision Making. Mach. Learn. Knowl. Extr. 4(2): 556-579 (2022) - [j46]Jiahao Xu, Boyan Zhang, Zhiyong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng:
Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Trans. Affect. Comput. 13(1): 238-249 (2022) - [j45]Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu:
Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization. IEEE Trans. Intell. Transp. Syst. 23(7): 7112-7141 (2022) - [j44]Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
Exploring Pairwise Relationships Adaptively From Linguistic Context in Image Captioning. IEEE Trans. Multim. 24: 3101-3113 (2022) - [c163]Yiqiao Li, Sunny Verma, Shuiqiao Yang, Jianlong Zhou, Fang Chen:
Are Graph Neural Network Explainers Robust to Graph Noises? AI 2022: 161-174 - [c162]Jianlong Zhou, Zhidong Li, Chun Xiao, Fang Chen:
Does a Compromise on Fairness Exist in Using AI Models? AI 2022: 191-204 - [c161]Khaled Saleh, Kun Yu, Fang Chen:
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. AI 2022: 658-667 - [c160]Alessa Angerschmid, Kevin Theuermann, Andreas Holzinger, Fang Chen, Jianlong Zhou:
Effects of Fairness and Explanation on Trust in Ethical AI. CD-MAKE 2022: 51-67 - [c159]Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen:
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC 2022: 1579-1585 - [c158]Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen:
A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System. PAKDD (3) 2022: 147-160 - [i16]Artur Grigorev, Adriana Simona Mihaita, Seunghyeon Lee, Fang Chen:
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. CoRR abs/2205.05197 (2022) - [i15]Yiqiao Li, Jianlong Zhou, Sunny Verma, Fang Chen:
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics. CoRR abs/2207.12599 (2022) - 2021
- [j43]Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong:
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. Int. J. Data Sci. Anal. 12(1): 15-29 (2021) - [j42]Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
Exploring region relationships implicitly: Image captioning with visual relationship attention. Image Vis. Comput. 109: 104146 (2021) - [j41]Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. 31(4): 46 (2021) - [j40]Jianlong Zhou, Shuiqiao Yang, Chun Xiao, Fang Chen:
Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia. SN Comput. Sci. 2(3): 201 (2021) - [j39]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. 8(4): 982-991 (2021) - [j38]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. IEEE Trans. Fuzzy Syst. 29(2): 427-441 (2021) - [j37]Jiahao Xu, Hongda Tian, Zhiyong Wang, Yang Wang, Wenxiong Kang, Fang Chen:
Joint Input and Output Space Learning for Multi-Label Image Classification. IEEE Trans. Multim. 23: 1696-1707 (2021) - [c157]Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen:
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. BESC 2021: 1-5 - [c156]Shuiqiao Yang, Kun Yu, Thorsten Lammers, Fang Chen:
Artificial Intelligence in Pilot Training and Education - Towards a Machine Learning Aided Instructor Assistant for Flight Simulators. HCI (38) 2021: 581-587 - [c155]Khaled Saleh, Kun Yu, Fang Chen:
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. HRI (Companion) 2021: 190-194 - [c154]Zizhuo Meng, Jie Xu, Zhidong Li, Yang Wang, Fang Chen, Zhiyong Wang:
A Multi-task Kernel Learning Algorithm for Survival Analysis. PAKDD (3) 2021: 298-311 - [i14]Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu:
Boosted Genetic Algorithm using Machine Learning for traffic control optimization. CoRR abs/2103.08317 (2021) - [i13]Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu:
Variational Co-embedding Learning for Attributed Network Clustering. CoRR abs/2104.07295 (2021) - [i12]Jianlong Zhou, Weidong Huang, Fang Chen:
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation. CoRR abs/2104.07377 (2021) - [i11]Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen:
Imitation Learning: Progress, Taxonomies and Opportunities. CoRR abs/2106.12177 (2021) - [i10]Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen:
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. CoRR abs/2109.14345 (2021) - 2020
- [j36]Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. Int. J. Data Sci. Anal. 10(4): 321-330 (2020) - [j35]Jianlong Zhou, Simon Luo, Fang Chen:
Effects of personality traits on user trust in human-machine collaborations. J. Multimodal User Interfaces 14(4): 387-400 (2020) - [j34]Shuiqiao Yang, Jiaojiao Jiang, Arindam Pal, Kun Yu, Fang Chen, Shui Yu:
Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic. IEEE Open J. Comput. Soc. 1: 209-219 (2020) - [c153]Jianlong Zhou, Weidong Huang, Fang Chen:
A Radial Visualisation for Model Comparison and Feature Identification. PacificVis 2020: 226-230 - [c152]Bin Liang, Sunny Verma, Jie Xu, Shuming Liang, Zhidong Li, Yang Wang, Fang Chen:
A Data Driven Approach for Leak Detection with Smart Sensors. ICARCV 2020: 1311-1316 - [c151]Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu:
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. ICDM 2020: 561-570 - [c150]Jianlong Zhou, Fang Chen, Andreas Holzinger:
Towards Explainability for AI Fairness. xxAI@ICML 2020: 375-386 - [c149]Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu:
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130 - [c148]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN 2020: 1-9 - [c147]Yuming Ou, Adriana Simona Mihaita, Fang Chen:
Dynamic Train Demand Estimation and Passenger Assignment. ITSC 2020: 1-6 - [c146]Jianlong Zhou, Fang Chen, Adam Berry, Mike Reed, Shujia Zhang, Siobhan Savage:
A Survey on Ethical Principles of AI and Implementations. SSCI 2020: 3010-3017 - [i9]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An improved online learning algorithm for general fuzzy min-max neural network. CoRR abs/2001.02391 (2020) - [i8]Jianlong Zhou, Shuiqiao Yang, Chun Xiao, Fang Chen:
Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia. CoRR abs/2006.12185 (2020) - [i7]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR abs/2007.02325 (2020) - [i6]Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu:
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. CoRR abs/2010.08218 (2020)
2010 – 2019
- 2019
- [j33]Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee:
Enhancing portfolio return based on sentiment-of-topic. Data Knowl. Eng. 123 (2019) - [j32]Asso Hamzehei, Raymond K. Wong, Danai Koutra, Fang Chen:
Collaborative topic regression for predicting topic-based social influence. Mach. Learn. 108(10): 1831-1850 (2019) - [j31]Fang Chen, Carlos Duarte, Wai-Tat Fu:
Special Issue on Highlights of ACM Intelligent User Interface (IUI) 2017. ACM Trans. Interact. Intell. Syst. 9(2-3): 7:1-7:3 (2019) - [j30]Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention. IEEE Trans. Multim. 21(7): 1681-1693 (2019) - [c145]Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan:
Optimising Pump Scheduling for Water Distribution Networks. Australasian Conference on Artificial Intelligence 2019: 433-444 - [c144]Jianlong Zhou, Huaiwen Hu, Zhidong Li, Kun Yu, Fang Chen:
Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. CD-MAKE 2019: 94-113 - [c143]Jianlong Zhou, Zhidong Li, Huaiwen Hu, Kun Yu, Fang Chen, Zelin Li, Yang Wang:
Effects of Influence on User Trust in Predictive Decision Making. CHI Extended Abstracts 2019 - [c142]Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen:
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. CIKM 2019: 2813-2821 - [c141]Bin Liang, Dammika Vitanage, Corinna Doolan, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Tin Hua, Andrew Peters:
Predicting Water Quality for the Woronora Delivery Network with Sparse Samples. ICDM 2019: 1210-1215 - [c140]Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen:
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. ICONIP (2) 2019: 432-444 - [c139]Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Discriminative Sample Generation for Deep Imbalanced Learning. IJCAI 2019: 2406-2412 - [c138]Zongjian Zhang, Yang Wang, Qiang Wu, Fang Chen:
Visual Relationship Attention for Image Captioning. IJCNN 2019: 1-8 - [c137]Kun Yu, Ronnie Taib, Marcus A. Butavicius, Kathryn Parsons, Fang Chen:
Mouse Behavior as an Index of Phishing Awareness. INTERACT (1) 2019: 539-548 - [c136]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I trust my machine teammate?: an investigation from perception to decision. IUI 2019: 460-468 - [c135]Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong:
Multitask Learning for Sparse Failure Prediction. PAKDD (1) 2019: 3-14 - [c134]Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen:
Recovering DTW Distance Between Noise Superposed NHPP. PAKDD (2) 2019: 229-241 - [c133]Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) 2019: 319-330 - [c132]Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen:
Online Data Fusion Using Incremental Tensor Learning. PAKDD (1) 2019: 357-369 - [c131]Quan Do, Sunny Verma, Fang Chen, Wei Liu:
Multiple Knowledge Transfer for Cross-Domain Recommendation. PRICAI (3) 2019: 529-542 - [i5]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. CoRR abs/1905.12170 (2019) - [i4]Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. CoRR abs/1910.13052 (2019) - 2018
- [j29]Tao Wen, Lauren Gardner, Vinayak V. Dixit, S. Travis Waller, Chen Cai, Fang Chen:
Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network. Comput. Aided Civ. Infrastructure Eng. 33(4): 282-299 (2018) - [j28]Tao Wen, Chen Cai, Lauren Gardner, Vinayak V. Dixit, S. Travis Waller, Fang Chen:
A Strategic User Equilibrium for Independently Distributed Origin-Destination Demands. Comput. Aided Civ. Infrastructure Eng. 33(4): 316-332 (2018) - [j27]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Twitter user geolocation by filtering of highly mentioned users. J. Assoc. Inf. Sci. Technol. 69(7): 879-889 (2018) - [j26]Jianlong Zhou, Fang Chen:
DecisionMind: revealing human cognition states in data analytics-driven decision making with a multimodal interface. J. Multimodal User Interfaces 12(2): 67-76 (2018) - [j25]Jianlong Zhou, Syed Z. Arshad, Xiuying Wang, Zhidong Li, Dagan Feng, Fang Chen:
End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence. IEEE Trans. Affect. Comput. 9(3): 383-395 (2018) - [j24]Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Kun Yu, Fang Chen:
Dynamic Handwriting Signal Features Predict Domain Expertise. ACM Trans. Interact. Intell. Syst. 8(3): 18:1-18:21 (2018) - [c130]Victor W. Chu, Raymond K. Wong, Chi-Hung Chi, Fang Chen:
Extreme Topic Model for Market eAlert Service. SCC 2018: 145-152 - [c129]Weihong Wang, Jie Xu, Yang Wang, Chen Cai, Fang Chen:
DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain. CIKM 2018: 1543-1546 - [c128]Bin Liang, Zhidong Li, Yang Wang, Fang Chen:
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains. CIKM 2018: 1687-1690 - [c127]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings. COLING 2018: 905-914 - [c126]Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
Size-Invariant Attention Accuracy Metric for Image Captioning with High-Resolution Residual Attention. DICTA 2018: 1-8 - [c125]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Graph-Theoretic Summary Evaluation for Rouge. EMNLP 2018: 762-767 - [c124]Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen:
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model. KDD 2018: 2692-2700 - [c123]Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen:
Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics. ICMR 2018: 91-99 - [c122]Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen:
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. PAKDD (1) 2018: 223-235 - [c121]Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
A Refined MISD Algorithm Based on Gaussian Process Regression. PAKDD (2) 2018: 584-596 - [c120]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Leveraging Local Interactions for Geolocating Social Media Users. PAKDD (3) 2018: 803-815 - [c119]Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
Fine-Grained and Semantic-Guided Visual Attention for Image Captioning. WACV 2018: 1709-1717 - [p5]Jianlong Zhou, Kun Yu, Fang Chen, Yang Wang, Syed Z. Arshad:
Multimodal behavioral and physiological signals as indicators of cognitive load. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 287-329 - [p4]Jianlong Zhou, Fang Chen:
2D Transparency Space - Bring Domain Users and Machine Learning Experts Together. Human and Machine Learning 2018: 3-19 - [p3]Jianlong Zhou, Kun Yu, Fang Chen:
Revealing User Confidence in Machine Learning-Based Decision Making. Human and Machine Learning 2018: 225-244 - [p2]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I Trust a Machine? Differences in User Trust Based on System Performance. Human and Machine Learning 2018: 245-264 - [p1]Bang Zhang, Ting Guo, Lelin Zhang, Peng Lin, Yang Wang, Jianlong Zhou, Fang Chen:
Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge. Human and Machine Learning 2018: 363-383 - [e4]Jianlong Zhou, Fang Chen:
Human and Machine Learning - Visible, Explainable, Trustworthy and Transparent. Human-Computer Interaction Series, Springer 2018, ISBN 978-3-319-90402-3 [contents] - 2017
- [j23]Asso Hamzehei, Shanqing Jiang, Danai Koutra, Raymond K. Wong, Fang Chen:
Topic-based Social Influence Measurement for Social Networks. Australas. J. Inf. Syst. 21 (2017) - [j22]Jianlong Zhou, Jinjun Sun, Yang Wang, Fang Chen:
Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study. Int. J. Intell. Syst. Technol. Appl. 16(3): 191-207 (2017) - [j21]Hoang Nguyen, Wei Liu, Fang Chen:
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data. IEEE Trans. Big Data 3(2): 169-180 (2017) - [j20]Nargess Nourbakhsh, Fang Chen, Yang Wang, Rafael A. Calvo:
Detecting Users' Cognitive Load by Galvanic Skin Response with Affective Interference. ACM Trans. Interact. Intell. Syst. 7(3): 12:1-12:20 (2017) - [j19]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32: 47-68 (2017) - [c118]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Prediction-as-a-Service for Meme Popularity. SCC 2017: 386-393 - [c117]Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang:
A Multivariate Clustering Approach for Infrastructure Failure Predictions. BigData Congress 2017: 274-281 - [c116]Simon Luo, Jianlong Zhou, Henry Been-Lirn Duh, Fang Chen:
BVP Feature Signal Analysis for Intelligent User Interface. CHI Extended Abstracts 2017: 1861-1868 - [c115]Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen:
Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts 2017: 2269-2275 - [c114]Shaobo Dang, Xiongcai Cai, Yang Wang, Jianjia Zhang, Fang Chen:
Unsupervised Matrix-valued Kernel Learning For One Class Classification. CIKM 2017: 2031-2034 - [c113]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI 2017: 2414-2420 - [c112]Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng:
Neural net-based and safety-oriented visual analytics for time-spatial data. IJCNN 2017: 1133-1140 - [c111]Jianlong Zhou, Syed Z. Arshad, Simon Luo, Fang Chen:
Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. INTERACT (4) 2017: 23-39 - [c110]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen:
User Trust Dynamics: An Investigation Driven by Differences in System Performance. IUI 2017: 307-317 - [c109]Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen:
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring. PAKDD (1) 2017: 42-57 - [c108]Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Exploring Celebrities on Inferring User Geolocation in Twitter. PAKDD (1) 2017: 395-406 - [c107]Quan Do, Wei Liu, Fang Chen:
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation. PAKDD (2) 2017: 618-630 - [c106]Dan Conway, Ronnie Taib, Mitch Harris, Kun Yu, Shlomo Berkovsky, Fang Chen:
A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing. SOUPS 2017: 115-129 - [c105]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) 2017: 1053-1061 - [e3]George A. Papadopoulos, Tsvi Kuflik, Fang Chen, Carlos Duarte, Wai-Tat Fu:
Proceedings of the 22nd International Conference on Intelligent User Interfaces, IUI 2017, Limassol, Cyprus, March 13-16, 2017. ACM 2017, ISBN 978-1-4503-4348-0 [contents] - [e2]George A. Papadopoulos, Tsvi Kuflik, Fang Chen, Carlos Duarte, Wai-Tat Fu:
Companion Publication of the 22nd International Conference on Intelligent User Interfaces, IUI 2017, Limassol, Cyprus, March 13-16, 2017. ACM 2017, ISBN 978-1-4503-4893-5 [contents] - [i3]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Semantically Motivated Approach to Compute ROUGE Scores. CoRR abs/1710.07441 (2017) - 2016
- [b1]Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway:
Robust Multimodal Cognitive Load Measurement. Human-Computer Interaction Series, Springer 2016, ISBN 978-3-319-31698-7, pp. 3-254 - [j18]