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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
- 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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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]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]