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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.uni-trier.de./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
- Fang Chen 0007 — Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Engineering, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, China
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Books and Theses
- 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
Journal Articles
- 2024
- [j64]Hassan Gharoun, Fereshteh Momenifar, Fang Chen, Amir H. Gandomi:
Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances. ACM Comput. Surv. 56(12): 294:1-294:41 (2024) - [j63]Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen:
Explaining Imitation Learning Through Frames. IEEE Intell. Syst. 39(6): 18-27 (2024) - [j62]Rongcheng Wu, Mingzhe Wang, Zhidong Li, Jianlong Zhou, Fang Chen, Xuan Wang, Changming Sun:
Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. Int. J. Comput. Vis. 132(5): 1484-1501 (2024) - [j61]Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Fang Chen:
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25(2): 1547-1568 (2024) - [j60]Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen:
Imitation Learning: Progress, Taxonomies and Challenges. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6322-6337 (2024) - 2023
- [j59]Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, Hasan Saeed Mir, Fang Chen, Jianlong Zhou, U. Rajendra Acharya:
Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks. IEEE Access 11: 143016-143036 (2023) - [j58]Jianlong Zhou, Fang Chen:
AI ethics: from principles to practice. AI Soc. 38(6): 2693-2703 (2023) - [j57]Iman Rahimi, Amir H. Gandomi, Mohammad Reza Nikoo, Fang Chen:
A comparative study on evolutionary multi-objective algorithms for next release problem. Appl. Soft Comput. 144: 110472 (2023) - [j56]Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf:
Artificial Intelligence Ethics and Trust: From Principles to Practice. IEEE Intell. Syst. 38(6): 5-8 (2023) - [j55]Jianlong Zhou, Suzanne Sheppard-Law, Chun Xiao, Judith Smith, Aimee Lamb, Carmen Axisa, Fang Chen:
Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic. Health Inf. Sci. Syst. 11(1): 28 (2023) - [j54]Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen:
Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems. IEEE Internet Things J. 10(16): 14182-14196 (2023) - [j53]Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu:
Variational co-embedding learning for attributed network clustering. Knowl. Based Syst. 270: 110530 (2023) - [j52]Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen:
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112(1): 281-310 (2023) - [j51]Iman Rahimi, Fang Chen, Amir H. Gandomi:
A review on COVID-19 forecasting models. Neural Comput. Appl. 35(33): 23671-23681 (2023) - [j50]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) - 2022
- [j49]Lihang Wen, Jianlong Zhou, Weidong Huang, Fang Chen:
A Survey of Facial Capture for Virtual Reality. IEEE Access 10: 6042-6052 (2022) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - 2021
- [j44]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) - [j43]Iman Rahimi, Amir H. Gandomi, Panagiotis G. Asteris, Fang Chen:
Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases. Inf. 12(3): 109 (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) - 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) - 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) - 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) - 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) - 2016
- [j18]Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen, Dagan Feng:
Topology-aware illumination design for volume rendering. BMC Bioinform. 17: 309 (2016) - [j17]Yi Wang, Bin Li, Yang Wang, Fang Chen, Bang Zhang, Zhidong Li:
Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise. Comput. Vis. Image Underst. 150: 31-43 (2016) - [j16]Jianlong Zhou, M. Asif Khawaja, Zhidong Li, Jinjun Sun, Yang Wang, Fang Chen:
Making machine learning useable by revealing internal states update - a transparent approach. Int. J. Comput. Sci. Eng. 13(4): 378-389 (2016) - [j15]Victor W. Chu, Raymond K. Wong, Fang Chen, Simon Fong, Patrick C. K. Hung:
Self-regularized causal structure discovery for trajectory-based networks. J. Comput. Syst. Sci. 82(4): 594-609 (2016) - [j14]Yingying Liu, Yang Wang, Arcot Sowmya, Fang Chen:
Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data. Pattern Recognit. 60: 145-156 (2016) - [j13]Wenhong Wei, Jianlong Zhou, Fang Chen, Huaqiang Yuan:
Constrained differential evolution using generalized opposition-based learning. Soft Comput. 20(11): 4413-4437 (2016) - 2015
- [j12]Jianlong Zhou, Fang Chen:
Making machine learning useable. Int. J. Intell. Syst. Technol. Appl. 14(2): 91-109 (2015) - [j11]Jianlong Zhou, Jinjun Sun, Fang Chen, Yang Wang, Ronnie Taib, Ahmad Khawaji, Zhidong Li:
Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. ACM Trans. Comput. Hum. Interact. 21(6): 33:1-33:23 (2015) - 2014
- [j10]M. Asif Khawaja, Fang Chen, Nadine Marcus:
Measuring Cognitive Load Using Linguistic Features: Implications for Usability Evaluation and Adaptive Interaction Design. Int. J. Hum. Comput. Interact. 30(5): 343-368 (2014) - [j9]M. Sazzad Hussain, Rafael A. Calvo, Fang Chen:
Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion During Affective Interference. Interact. Comput. 26(3): 256-268 (2014) - [j8]Zhidong Li, Bang Zhang, Yang Wang, Fang Chen, Ronnie Taib, Vicky Whiffin, Yi Wang:
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data. Mach. Learn. 95(1): 11-26 (2014) - [j7]Bang Zhang, Yang Wang, Fang Chen:
Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning. IEEE Trans. Image Process. 23(3): 1430-1441 (2014) - 2013
- [j6]Pega Zarjam, Julien Epps, Fang Chen, Nigel H. Lovell:
Estimating cognitive workload using wavelet entropy-based features during an arithmetic task. Comput. Biol. Medicine 43(12): 2186-2195 (2013) - [j5]Zhidong Li, Weihong Wang, Yang Wang, Fang Chen, Yi Wang:
Visual tracking by proto-objects. Pattern Recognit. 46(8): 2187-2201 (2013) - [j4]Gunawan Herman, Bang Zhang, Yang Wang, Getian Ye, Fang Chen:
Mutual information-based method for selecting informative feature sets. Pattern Recognit. 46(12): 3315-3327 (2013) - 2012
- [j3]M. Asif Khawaja, Fang Chen, Nadine Marcus:
Analysis of Collaborative Communication for Linguistic Cues of Cognitive Load. Hum. Factors 54(4): 518-529 (2012) - [j2]Fang Chen, Natalie Ruiz, Eric H. C. Choi, Julien Epps, M. Asif Khawaja, Ronnie Taib, Bo Yin, Yang Wang:
Multimodal behavior and interaction as indicators of cognitive load. ACM Trans. Interact. Intell. Syst. 2(4): 22:1-22:36 (2012) - 2010
- [j1]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
Language-Dependent Contribution Measuring and Weighting for Combining Likelihood Scores in Language Identification Systems. J. Signal Process. Syst. 59(2): 201-210 (2010)
Conference and Workshop Papers
- 2024
- [c184]Jianjiu Ou, Jianlong Zhou, Yifei Dong, Fang Chen:
Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks. AI (2) 2024: 298-311 - [c183]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. ECAI 2024: 810-817 - [c182]Hassan Gharoun, Mohammad Sadegh Khorshidi, Navid Yazdanjue, Fang Chen, Amir H. Gandomi:
Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. GECCO Companion 2024: 2095-2098 - [c181]Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun, Danial Yazdani, Mohammad Reza Nikoo, Fang Chen, Amir H. Gandomi:
Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming. GECCO Companion 2024: 2099-2102 - [c180]Boyuan Zheng, Jianlong Zhou, Jieping Ma, Fang Chen:
Genetic Imitation Learning by Reward Extrapolation. IJCNN 2024: 1-8 - [c179]Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen:
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD 2024: 3200-3211 - 2023
- [c178]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Fair Representation Learning with Unreliable Labels. AISTATS 2023: 4655-4667 - [c177]Bo Wang, Jianlong Zhou, Yiqiao Li, Fang Chen:
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust. AI (2) 2023: 209-220 - [c176]Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen:
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CIKM 2023: 1259-1267 - [c175]Iman Rahimi, Amir H. Gandomi, Mohammad Reza Nikoo, Fang Chen:
Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems. EvoApplications@EvoStar 2023: 102-117 - [c174]Daniel G. Conway, Marcus A. Butavicius, Kun Yu, Fang Chen:
Are People with Cyber Security Training Worse at Checking Phishing Email Addresses? Testing the Automaticity of Verifying the Sender's Address. HAISA 2023: 310-323 - [c173]Jianlong Zhou, Boyuan Zheng, Fang Chen:
Effects of Uncertainty and Knowledge Graph on Perception of Fairness. IUI Companion 2023: 151-154 - [c172]Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation. ECML/PKDD (4) 2023: 369-386 - [c171]Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen:
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. WSDM 2023: 589-597 - 2022
- [c170]Yiqiao Li, Sunny Verma, Shuiqiao Yang, Jianlong Zhou, Fang Chen:
Are Graph Neural Network Explainers Robust to Graph Noises? AI 2022: 161-174 - [c169]Jianlong Zhou, Zhidong Li, Chun Xiao, Fang Chen:
Does a Compromise on Fairness Exist in Using AI Models? AI 2022: 191-204 - [c168]Khaled Saleh, Kun Yu, Fang Chen:
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning. AI 2022: 658-667 - [c167]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 - [c166]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 - [c165]Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen:
Domain Generalization by Learning and Removing Domain-specific Features. NeurIPS 2022 - [c164]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 - 2021
- [c163]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-tolerant Fair Classification. ACML 2021: 840-855 - [c162]Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen:
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. BESC 2021: 1-5 - [c161]Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Graph Compression Networks. IEEE BigData 2021: 1030-1036 - [c160]Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen:
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series. CIKM 2021: 3955-3964 - [c159]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 - [c158]Khaled Saleh, Kun Yu, Fang Chen:
Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks. HRI (Companion) 2021: 190-194 - [c157]Boyu Li, Ting Guo, Yang Wang, Amir H. Gandomi, Fang Chen:
Adaptive Graph Co-Attention Networks for Traffic Forecasting. PAKDD (1) 2021: 263-276 - [c156]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 - [c155]Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Weak Supervision Network Embedding for Constrained Graph Learning. PAKDD (1) 2021: 488-500 - 2020
- [c154]Jianlong Zhou, Weidong Huang, Fang Chen:
A Radial Visualisation for Model Comparison and Feature Identification. PacificVis 2020: 226-230 - [c153]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 - [c152]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 - [c151]Jianlong Zhou, Fang Chen, Andreas Holzinger:
Towards Explainability for AI Fairness. xxAI@ICML 2020: 375-386 - [c150]Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu:
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130 - [c149]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN 2020: 1-9 - [c148]Yuming Ou, Adriana Simona Mihaita, Fang Chen:
Dynamic Train Demand Estimation and Passenger Assignment. ITSC 2020: 1-6 - [c147]Sankar Sennan, Somula Ramasubbareddy, Fang Chen, Amir H. Gandomi:
Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence. SSCI 2020: 219-224 - [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 - 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 - 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 - 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 - 2016
- [c104]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Query-Based Summarization Service from Multiple News Sources. SCC 2016: 42-49 - [c103]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Service Selection Based on Dynamic QoS Networks. SCC 2016: 98-105 - [c102]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong:
A Generic Service Framework for Stock Market Prediction. SCC 2016: 283-290 - [c101]Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
The Ostomachion Process. AAAI 2016: 1547-1553 - [c100]Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen:
Interaction Point Processes via Infinite Branching Model. AAAI 2016: 1853-1859 - [c99]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
An Efficient Approach for Multi-Sentence Compression. ACML 2016: 414-429 - [c98]Victor W. Chu, Raymond K. Wong, Fang Chen, Ivan Ho, Joe Lee:
Market-sentiment boosted predictions on multi-type time-series. ACSW 2016: 31 - [c97]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Interrelationships of Service Orchestrations. ADMA 2016: 95-110 - [c96]Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen:
Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data. BDVA 2016: 1-2 - [c95]Victor W. Chu, Fang Chen, Raymond K. Wong, Ivan Ho, Joe Lee:
Enhancing portfolio return based on market-sentiment linked topics. BigComp 2016: 85-92 - [c94]Dan Conway, Fang Chen, Kun Yu, Jianlong Zhou, Richard Morris:
Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory. CHI Extended Abstracts 2016: 3035-3041 - [c93]Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie:
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. CIKM 2016: 1813-1822 - [c92]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202 - [c91]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
Appraising UMLS Coverage for Summarizing Medical Evidence. COLING 2016: 513-524 - [c90]Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen:
Bayesian Optimization of Partition Layouts for Mondrian Processes. IJCAI 2016: 2160-2166 - [c89]Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen:
Infinite Hidden Semi-Markov Modulated Interaction Point Process. NIPS 2016: 3900-3908 - [c88]Jianlong Zhou, Syed Z. Arshad, Kun Yu, Fang Chen:
Correlation for user confidence in predictive decision making. OZCHI 2016: 252-256 - [c87]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Joe Lee:
A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction. PAKDD Workshops 2016: 227-237 - [c86]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) 2016: 527-539 - [c85]Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen:
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media. PAKDD (1) 2016: 540-551 - [c84]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong:
Effective Local Metric Learning for Water Pipe Assessment. PAKDD (1) 2016: 565-577 - [c83]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Trust and Reliance Based on System Accuracy. UMAP 2016: 223-227 - 2015
- [c82]Asso Hamzehei, Mohammad Ebrahimi, Elahe Shafiee, Raymond K. Wong, Fang Chen:
Scalable Sentiment Analysis for Microblogs Based on Semantic Scoring. SCC 2015: 271-278 - [c81]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang:
A Generic Ranking Service on Scientific Datasets. SCC 2015: 491-498 - [c80]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence 2015: 365-378 - [c79]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Web Service Recommendations Based on Time-Aware Bayesian Networks. BigData Congress 2015: 359-366 - [c78]Jianlong Zhou, Constant Bridon, Fang Chen, Ahmad Khawaji, Yang Wang:
Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making. CHI Extended Abstracts 2015: 923-928 - [c77]Syed Arshad, Yang Wang, Fang Chen:
Interactive Mouse Stream as Real-Time Indicator of User's Cognitive Load. CHI Extended Abstracts 2015: 1025-1030 - [c76]Ahmad Khawaji, Jianlong Zhou, Fang Chen, Nadine Marcus:
Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment. CHI Extended Abstracts 2015: 1989-1994 - [c75]Peng Lin, Bang Zhang, Yi Wang, Zhidong Li, Bin Li, Yang Wang, Fang Chen:
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach. CIKM 2015: 193-202 - [c74]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK 2015: 108-120 - [c73]Sharon L. Oviatt, Kevin Hang, Jianlong Zhou, Fang Chen:
Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics. ICMI 2015: 311-318 - [c72]Yi Wang, Bin Li, Yang Wang, Fang Chen:
Metadata Dependent Mondrian Processes. ICML 2015: 1339-1347 - [c71]Jianlong Zhou, Jinjun Sun, Fang Chen, Xiuying Wang, Xianglin Miao:
Safety-oriented visual analytics of people movement. VAST 2015: 181-182 - [c70]Jianlong Zhou, Ju-Young Jung, Fang Chen:
Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. INTERACT (1) 2015: 550-558 - [c69]Syed Z. Arshad, Jianlong Zhou, Constant Bridon, Fang Chen, Yang Wang:
Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. OZCHI 2015: 352-360 - [c68]Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie:
On Damage Identification in Civil Structures Using Tensor Analysis. PAKDD (1) 2015: 459-471 - [c67]Zhiwei Yu, Raymond K. Wong, Chi-Hung Chi, Fang Chen:
A Semi-supervised Learning Approach for Microblog Sentiment Classification. SmartCity 2015: 339-344 - 2014
- [c66]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng:
Traffic Analysis as a Service via a Unified Model. IEEE SCC 2014: 195-202 - [c65]Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Chang-Shing Perng:
An Effective Integrated Method for Learning Big Imbalanced Data. BigData Congress 2014: 691-698 - [c64]Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi:
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring. CIKM 2014: 1099-1108 - [c63]Bang Zhang, Yi Wang, Yang Wang, Fang Chen:
Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning. CVPR 2014: 1075-1081 - [c62]Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen:
Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) 2014: 236-250 - [c61]Jianlong Zhou, Kevin Hang, Sharon L. Oviatt, Kun Yu, Fang Chen:
Combining empirical and machine learning techniques to predict math expertise using pen signal features. MLA@ICMI 2014: 29-36 - [c60]Ahmad Khawaji, Fang Chen, Jianlong Zhou, Nadine Marcus:
Trust and cognitive load in the text-chat environment: the role of mouse movement. OZCHI 2014: 324-327 - 2013
- [c59]Siyuan Chen, Julien Epps, Fang Chen:
An investigation of pupil-based cognitive load measurement with low cost infrared webcam under light reflex interference. EMBC 2013: 3202-3205 - [c58]Kun Yu, Julien Epps, Fang Chen:
Mental Workload Classification via Online Writing Features. ICDAR 2013: 1110-1114 - [c57]Nargess Nourbakhsh, Yang Wang, Fang Chen:
GSR and Blink Features for Cognitive Load Classification. INTERACT (1) 2013: 159-166 - [c56]Dan Conway, Ian Dick, Zhidong Li, Yang Wang, Fang Chen:
The Effect of Stress on Cognitive Load Measurement. INTERACT (4) 2013: 659-666 - [c55]Siyuan Chen, Julien Epps, Fang Chen:
Automatic and continuous user task analysis via eye activity. IUI 2013: 57-66 - [c54]Weihong Wang, Zhidong Li, Yang Wang, Fang Chen:
Indexing cognitive workload based on pupillary response under luminance and emotional changes. IUI 2013: 247-256 - [c53]Ahmad Khawaji, Fang Chen, Nadine Marcus, Jianlong Zhou:
Trust and cooperation in text-based computer-mediated communication. OZCHI 2013: 37-40 - [c52]Syed Arshad, Yang Wang, Fang Chen:
Analysing mouse activity for cognitive load detection. OZCHI 2013: 115-118 - [c51]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498 - [c50]Weihong Wang, Yang Wang, Fang Chen, Arcot Sowmya:
A weakly supervised approach for object detection based on Soft-Label Boosting. WACV 2013: 331-338 - [c49]Yi Wang, Zhidong Li, Yang Wang, Fang Chen:
A Bayesian non-parametric viewpoint to visual tracking. WACV 2013: 482-488 - 2012
- [c48]Pega Zarjam, Julien Epps, Nigel H. Lovell, Fang Chen:
Characterization of memory load in an arithmetic task using non-linear analysis of EEG signals. EMBC 2012: 3519-3522 - [c47]Pega Zarjam, Julien Epps, Fang Chen, Nigel H. Lovell:
Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals. ICONIP (2) 2012: 692-699 - [c46]Nargess Nourbakhsh, Yang Wang, Fang Chen, Rafael A. Calvo:
Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks. OZCHI 2012: 420-423 - 2011
- [c45]Jie Xu, Yang Wang, Fang Chen, Ho Choi, Guanzhong Li, Siyuan Chen, M. Sazzad Hussain:
Pupillary response based cognitive workload index under luminance and emotional changes. CHI Extended Abstracts 2011: 1627-1632 - [c44]Pega Zarjam, Julien Epps, Fang Chen:
Spectral EEG featuresfor evaluating cognitive load. EMBC 2011: 3841-3844 - [c43]Pega Zarjam, Julien Epps, Fang Chen:
Characterizing working memory load using EEG delta activity. EUSIPCO 2011: 1554-1558 - [c42]Natalie Ruiz, Ronnie Taib, Fang Chen:
Freeform pen-input as evidence of cognitive load and expertise. ICMI 2011: 185-188 - [c41]Jie Xu, Yang Wang, Fang Chen, Eric H. C. Choi:
Pupillary Response Based Cognitive Workload Measurement under Luminance Changes. INTERACT (2) 2011: 178-185 - [c40]Avi Knoll, Yang Wang, Fang Chen, Jie Xu, Natalie Ruiz, Julien Epps, Pega Zarjam:
Measuring Cognitive Workload with Low-Cost Electroencephalograph. INTERACT (4) 2011: 568-571 - [c39]Siyuan Chen, Julien Epps, Natalie Ruiz, Fang Chen:
Eye activity as a measure of human mental effort in HCI. IUI 2011: 315-318 - [c38]Kun Yu, Julien Epps, Fang Chen:
Cognitive load evaluation of handwriting using stroke-level features. IUI 2011: 423-426 - [c37]Siyuan Chen, Julien Epps, Fang Chen:
A comparison of four methods for cognitive load measurement. OZCHI 2011: 76-79 - 2010
- [c36]Natalie Ruiz, Guang Liu, Bo Yin, Damian Farrow, Fang Chen:
Teaching athletes cognitive skills: detecting cognitive load in speech input. BCS HCI 2010: 484-488 - [c35]Natalie Ruiz, Qian Qian Feng, Ronnie Taib, Tara Handke, Fang Chen:
Cognitive skills learning: pen input patterns in computer-based athlete training. ICMI-MLMI 2010: 41:1-41:4 - [c34]M. Asif Khawaja, Fang Chen, Nadine Marcus:
Using language complexity to measure cognitive load for adaptive interaction design. IUI 2010: 333-336 - 2009
- [c33]Yong Sun, Yu (David) Shi, Fang Chen, Vera Yuk Ying Chung:
Building a Practical Multimodal System with a Multimodal Fusion Module. HCI (2) 2009: 93-102 - [c32]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
Voiced/unvoiced pattern-based duration modeling for language identification. ICASSP 2009: 4341-4344 - [c31]Tet Fei Yap, Eliathamby Ambikairajah, Eric H. C. Choi, Fang Chen:
Phase based features for cognitive load measurement system. ICASSP 2009: 4825-4828 - [c30]M. Asif Khawaja, Fang Chen, Christine Owen, Gregory Hickey:
Cognitive Load Measurement from User's Linguistic Speech Features for Adaptive Interaction Design. INTERACT (1) 2009: 485-489 - [c29]Yong Sun, Yu (David) Shi, Fang Chen, Vera Yuk Ying Chung:
Skipping spare information in multimodal inputs during multimodal input fusion. IUI 2009: 451-456 - 2008
- [c28]Yong Sun, Helmut Prendinger, Yu (David) Shi, Fang Chen, Vera Yuk Ying Chung, Mitsuru Ishizuka:
The hinge between input and output: understanding the multimodal input fusion results in an agent-based multimodal presentation system. CHI Extended Abstracts 2008: 3483-3488 - [c27]Bo Yin, Fang Chen, Natalie Ruiz, Eliathamby Ambikairajah:
Speech-based cognitive load monitoring system. ICASSP 2008: 2041-2044 - [c26]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
Improvements on hierarchical language identification based on automatic language clustering. ICASSP 2008: 4241-4244 - [c25]Bo Yin, Tharmarajah Thiruvaran, Eliathamby Ambikairajah, Fang Chen:
Introducing a FM based feature to hierarchical language identification. INTERSPEECH 2008: 731-734 - [c24]Bo Yin, Natalie Ruiz, Fang Chen, Eliathamby Ambikairajah:
Exploring classification techniques in speech based cognitive load monitoring. INTERSPEECH 2008: 2478-2481 - [c23]Yu Shi, Eric H. C. Choi, Ronnie Taib, Fang Chen:
Designing Cognition-Adaptive Human-Computer Interface for Mission-Critical Systems. ISD 2008: 111-119 - [c22]Bo Yin, Natalie Ruiz, Fang Chen, Eliathamby Ambikairajah:
Investigating speech features and automatic measurement of cognitive load. MMSP 2008: 988-993 - [c21]M. Asif Khawaja, Natalie Ruiz, Fang Chen:
Think before you talk: an empirical study of relationship between speech pauses and cognitive load. OZCHI 2008: 335-338 - 2007
- [c20]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
A novel weighting technique for fusing Language Identification systems based on pair-wise performances. ASRU 2007: 408-412 - [c19]Yu (David) Shi, Natalie Ruiz, Ronnie Taib, Eric H. C. Choi, Fang Chen:
Galvanic skin response (GSR) as an index of cognitive load. CHI Extended Abstracts 2007: 2651-2656 - [c18]Fang Chen, Eric H. C. Choi, Ning Wang:
Exploiting Speech-Gesture Correlation in Multimodal Interaction. HCI (3) 2007: 23-30 - [c17]Yong Sun, Fang Chen, Yu (David) Shi, Vera Yuk Ying Chung:
An Input-Parsing Algorithm Supporting Integration of Deictic Gesture in Natural Language Interface. HCI (3) 2007: 206-215 - [c16]Bo Yin, Fang Chen:
Towards Automatic Cognitive Load Measurement from Speech Analysis. HCI (1) 2007: 1011-1020 - [c15]Natalie Ruiz, Ronnie Taib, Yu (David) Shi, Eric H. C. Choi, Fang Chen:
Using pen input features as indices of cognitive load. ICMI 2007: 315-318 - [c14]Yu Shi, Ronnie Taib, Natalie Ruiz, Eric H. C. Choi, Fang Chen:
Multimodal human-machine interface and user cognitive load measurement. IFAC HMS 2007: 200-205 - [c13]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
Hierarchical language identification based on automatic language clustering. INTERSPEECH 2007: 178-181 - [c12]M. Asif Khawaja, Natalie Ruiz, Fang Chen:
Potential speech features for cognitive load measurement. OZCHI 2007: 57-60 - [c11]Yong Sun, Yu (David) Shi, Fang Chen, Vera Yuk Ying Chung:
An efficient unification-based multimodal language processor in multimodal input fusion. OZCHI 2007: 215-218 - [c10]Bo Yin, Natalie Ruiz, Fang Chen, M. Asif Khawaja:
Automatic cognitive load detection from speech features. OZCHI 2007: 249-255 - [c9]Yong Sun, Yu (David) Shi, Fang Chen, Vera Yuk Ying Chung:
An Efficient Multimodal Language Processor for Parallel Input Strings in Multimodal Input Fusion. ICSC 2007: 389-396 - 2006
- [c8]Bo Yin, Eliathamby Ambikairajah, Fang Chen:
Combining Cepstral and Prosodic Features in Language Identification. ICPR (4) 2006: 254-257 - [c7]Yu Shi, Ronnie Taib, Eric H. C. Choi, Fang Chen:
Multimodal Human-Computer Interfaces for Incident Handling in Metropolitan Transport Management Centre. ITSC 2006: 554-559 - [c6]Lawrence Cavedon, Robert Dale, Fang Chen, David R. Traum:
Workshop on effective multimodal dialogue interfaces. IUI 2006: 17 - [c5]Natalie Ruiz, Ronnie Taib, Fang Chen:
Examining the redundancy of multimodal input. OZCHI 2006: 389-392 - [c4]Yong Sun, Fang Chen, Yu (David) Shi, Vera Yuk Ying Chung:
A novel method for multi-sensory data fusion in multimodal human computer interaction. OZCHI 2006: 401-404 - [c3]Fang Chen, Peter Eades, Julien Epps, Serge Lichman, Benjamin Close, Peter Hutterer, Masahiro Takatsuka, Bruce H. Thomas, Mike Wu:
ViCAT: Visualisation and Interaction on a Collaborative Access Table. Tabletop 2006: 59-62 - 2005
- [c2]Fang Chen, Eric H. C. Choi, Julien Epps, Serge Lichman, Natalie Ruiz, Yu (David) Shi, Ronnie Taib, Mike Wu:
A study of manual gesture-based selection for the PEMMI multimodal transport management interface. ICMI 2005: 274-281 - [c1]Fang Chen, Eric H. C. Choi, Natalie Ruiz, Yu (David) Shi, Ronnie Taib:
User interface design and evaluation for control room. OZCHI 2005
Parts in Books or Collections
- 2018
- [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
Editorship
- 2018
- [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
- [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] - 2013
- [e1]Julien Epps, Fang Chen, Sharon L. Oviatt, Kenji Mase, Andrew Sears, Kristiina Jokinen, Björn W. Schuller:
2013 International Conference on Multimodal Interaction, ICMI '13, Sydney, NSW, Australia, December 9-13, 2013. ACM 2013, ISBN 978-1-4503-2129-7 [contents]
Informal and Other Publications
- 2024
- [i37]Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun, Danial Yazdani, Mohammad Reza Nikoo, Fang Chen, Amir H. Gandomi:
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning. CoRR abs/2401.06251 (2024) - [i36]Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal:
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR abs/2402.08241 (2024) - [i35]Boyuan Zheng, Jianlong Zhou, Fang Chen:
Interpretable Robotic Manipulation from Language. CoRR abs/2405.17047 (2024) - [i34]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. CoRR abs/2407.16161 (2024) - [i33]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen:
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack. CoRR abs/2408.07733 (2024) - [i32]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Yuchen Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen:
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing. CoRR abs/2408.12673 (2024) - [i31]Hassan Gharoun, Mohammad Sadegh Khorshidi, Fang Chen, Amir H. Gandomi:
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification. CoRR abs/2410.02805 (2024) - [i30]Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen:
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods. CoRR abs/2411.14711 (2024) - [i29]Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou:
Navigating Towards Fairness with Data Selection. CoRR abs/2412.11072 (2024) - [i28]Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen:
Attribution for Enhanced Explanation with Transferable Adversarial eXploration. CoRR abs/2412.19523 (2024) - 2023
- [i27]Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Fang Chen:
GANExplainer: GAN-based Graph Neural Networks Explainer. CoRR abs/2301.00012 (2023) - [i26]Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen:
Explaining Imitation Learning through Frames. CoRR abs/2301.01088 (2023) - [i25]Boyuan Zheng, Jianlong Zhou, Fang Chen:
Genetic Imitation Learning by Reward Extrapolation. CoRR abs/2301.07182 (2023) - [i24]Hassan Gharoun, Fereshteh Momenifar, Fang Chen, Amir H. Gandomi:
Meta-learning approaches for few-shot learning: A survey of recent advances. CoRR abs/2303.07502 (2023) - [i23]Jianlong Zhou, Heimo Müller, Andreas Holzinger, Fang Chen:
Ethical ChatGPT: Concerns, Challenges, and Commandments. CoRR abs/2305.10646 (2023) - [i22]Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, U. Rajendra Acharya, Fang Chen, Jianlong Zhou:
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks. CoRR abs/2307.06547 (2023) - [i21]Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen:
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CoRR abs/2309.16918 (2023) - 2022
- [i20]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) - [i19]Yiqiao Li, Jianlong Zhou, Sunny Verma, Fang Chen:
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics. CoRR abs/2207.12599 (2022) - [i18]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
De-biased Representation Learning for Fairness with Unreliable Labels. CoRR abs/2208.00651 (2022) - [i17]Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen:
Domain Generalization by Learning and Removing Domain-specific Features. CoRR abs/2212.07101 (2022) - 2021
- [i16]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) - [i15]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) - [i14]Jianlong Zhou, Weidong Huang, Fang Chen:
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation. CoRR abs/2104.07377 (2021) - [i13]Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen:
Imitation Learning: Progress, Taxonomies and Opportunities. CoRR abs/2106.12177 (2021) - [i12]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-Tolerant Fair Classification. CoRR abs/2107.03207 (2021) - [i11]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
- [i10]Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An improved online learning algorithm for general fuzzy min-max neural network. CoRR abs/2001.02391 (2020) - [i9]Dilusha Weeraddana, Bin Liang, Zhidong Li, Yang Wang, Fang Chen, Livia Bonazzi, Dean Phillips, Nitin Saxena:
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers. CoRR abs/2006.03385 (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) - 2019
- [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) - 2017
- [i3]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Semantically Motivated Approach to Compute ROUGE Scores. CoRR abs/1710.07441 (2017) - 2016
- [i2]Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
On Improving Informativity and Grammaticality for Multi-Sentence Compression. CoRR abs/1605.02150 (2016) - [i1]Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
Stochastic Patching Process. CoRR abs/1605.06886 (2016)
Coauthor Index
Amir Hossein Gandomi
aka: Amir H. Gandomi
aka: Amir H. Gandomi
[b1] [j54] [j52] [j50] [j47] [j45] [j44] [j42] [j41] [j37] [j36] [j30] [j22] [j20] [j17] [j16] [j14] [j11] [j8] [j7] [j5] [j4] [j2] [c183] [c178] [c172] [c171] [c165] [c164] [c163] [c161] [c160] [c157] [c156] [c155] [c153] [c152] [c150] [c145] [c143] [c142] [c141] [c140] [c139] [c138] [c135] [c134] [c133] [c132] [c129] [c128] [c126] [c124] [c123] [c122] [c121] [c119] [c114] [c109] [c102] [c101] [c100] [c93] [c90] [c89] [c87] [c84] [c81] [c78] [c77] [c75] [c72] [c69] [c68] [c65] [c63] [c57] [c56] [c54] [c52] [c50] [c49] [c46] [c45] [c41] [c40] [p5] [p1] [i34] [i30] [i29] [i18] [i17] [i12] [i9] [i6] [i4] [i1]
[b1] [j63] [j62] [j60] [j59] [j58] [j56] [j55] [j49] [j48] [j44] [j40] [j39] [j35] [j26] [j25] [j24] [j22] [j18] [j16] [j13] [j12] [j11] [c184] [c180] [c177] [c176] [c173] [c170] [c169] [c167] [c162] [c154] [c151] [c146] [c144] [c143] [c136] [c135] [c117] [c116] [c115] [c112] [c111] [c110] [c96] [c94] [c88] [c83] [c78] [c76] [c73] [c71] [c70] [c69] [c61] [c60] [c53] [p5] [p4] [p3] [p2] [p1] [e4] [i35] [i33] [i32] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [i19] [i14] [i13] [i11] [i8] [i7]
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