default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [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 - [i36]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) - [i35]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) - [i34]Boyuan Zheng, Jianlong Zhou, Fang Chen:
Interpretable Robotic Manipulation from Language. CoRR abs/2405.17047 (2024) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou:
Navigating Towards Fairness with Data Selection. CoRR abs/2412.11072 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
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]