Publications Overview
Journal Papers
Fine-Grained Emotion Comprehension: Semisupervised Multimodal Emotion and Intensity Recognition
Z. Fang, Z. Liu, T. Liu, C.-C Hung, IEEE Transactions on Computational Social Systems (to appear)
al-BERT: a semi-supervised denoising technique for disease prediction
Y.-C. Tseng, C.-W. Kuo, W.-C. Peng, C.-C Hung*, BMC Medical Informatics and Decision Making, Vol. 24 (1), 127, pp. 1-19, 2024
On the Identifiability of Artificial Financial Time Series
B.-H. Lin, C.-C. Lin, C.-C. Hung, C.-C. Chen, Y.-H. Chen, Journal of Information Science and Engineering, Vol.40 (3), pp. 567–579, 2024
Predicting the Next Diseases Using Graph Neural Networks on Administrative Medical Datasets
Y.-C. Tseng, W.-C. Li, W.-C. Peng, C.-C Hung*, Journal of Information Science & Engineering, Vol. 40 (3), pp. 631 - 648, 2024
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors
C.-W Kuo, B.-Y Chen, W.-C Peng, C.-C Hung*, H.-N Su, ACM Transactions on Knowledge Discovery from Data, Vol.18 (5), 1-23, 2024
CECM: A cognitive emotional contagion model in social networks
C.-C. Hung, X. Gao, Z. Liu, Y. Chai, T. Liu, C. Liu, Multimedia Tools and Applications, Vol. 83(1), pp. 1001-1023, 2024
Group Formation by Group Joining and Opinion Updates via Multi-Agent Online Gradient Ascent
C.-C. Lin, C.-C. Hung*, C. -J. Lu, P.-A. Chen, IEEE Computational Intelligence Magazine, Vol. 18(4), pp.60 – 61, 2023
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
G. Li, S. Zhong, X. Deng, L. Xiang, S-H Gary Chan, R. Li, Y. Liu, M. Zhang, C.-C. Hung, W.-C. Peng, IEEE Transactions on Knowledge and Data Engineering, Vol. 35(11), pp. 10967 – 10980, 2023
A Study On Constructing An Elderly Abuse Detection System By Convolutional Neural Networks
W. A. R. Savadogo, C.-C. Lin, C.-C. Hung*, C.-C. Chen, Z. Liu, T. Liu, Journal of the Chinese Institute of Engineers, Vol. 46(2), pp. 118-127, 2023
Learning Coordinated Emotion Representation between Voice and Face
Z. Fang, Z. Liu, C.-C. Hung, Y. A. Sekhavat, T. Liu, X. Wang, Applied Intelligence, Vol. 53(11), pp. 14470 – 14492, 2023
Template-Based Headline Generator for Multiple Documents
Y.-C. Tseng, M.-H. Yang, Y.-C. Fan, W.-C. Peng, C.-C. Hung, IEEE Access, Vol. 10, pp. 46330-46341, 2022
A study on reversible data hiding technique based on three-dimensional prediction-error histogram modification and a multilayer perceptron
C.-C. Hung, C.-C. Lin, H.-C. Wu, C.-W. Lin, Applied Sciences, Vol.12, No.5, 2022
Implicit Sentiment Analysis Based On Multi-feature Neural Network Model
Y. Zhuang, Z. Liu, T. Liu, C.-C. Hung, Y.-J. Chai, Soft Computing, Vol. 26, pp. 635-644, 2022
Facial Expression GAN for Voice-Driven Face Generation
Z. Fang, Z. Liu, T. Liu, J. Xiao, C.-C. Hung, G. Feng, The Visual Computer Journal, Vol. 38, pp. 1151-1164, 2022
DPP: Deep Predictor for Price Movement from Candlestick Charts
C.-C Hung, Y.-J. Chen, PLOS ONE, Vol. 16, No.6, 2021
On Aggregating Salaries of Occupations From Job Post and Review Data
C.-C. Hung, E.-P. Lim, IEEE Access, Vol. 9, pp. 43422-43433, 2021
Modeling crowd emotion from emergent event video
L. Zhuo, Z. Liu, T. Liu, C.-C. Hung, Y. Chai, Computer Animation and Virtual Worlds, Vol. 32, No. 5, 2021
TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data
X. Tian, B. Zheng, Y. Wang, H.-T. Huang, C.-C. Hung*, ACM/IMS Transactions on Data Science, Vol. 2, No. 16, pp. 1-21, 2021
Surgical Wounds Assessment System for Self-Care
Y.-W. Chen, J.-T. Hsu, C.-C. Hung*, J.-M. Wu, F.-P. Lai, S.-Y. Kuo, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 50, No. 12, pp. 5076-5091, 2020
Predicting The Price Movement From Candlestick Charts: A CNN-based Approach
C.-C. Hung, Y.-J. Chen, S.-J. Guo, F.-C. Hsu, International Journal of Ad Hoc and Ubiquitous Computing, Vol. 34, No. 2, pp.111-120, 2020
Clustering and Aggregating Clues of Trajectories for Trajectory Pattern Mining
C.-C. Hung, W.-C. Peng, W.-C. Lee, Very Large Data Base Journal, Vol.24, No.2, pp. 162-192, 2015
Exploring Sequential Probability Tree for Movement-based Community Discovery
W.-Y. Zhu, W.-C. Peng, C.-C. Hung, P. -R. Lai, L.-J. Chen, IEEE Transaction on Knowledge and Data Engineering, Vol. 26, No.11, pp. 2717-2730, 2014
Energy-Aware Set-Covering Approaches for Approximate Data Collection in Wireless Sensor Networks
C.-C. Hung, W.-C. Peng, W.-C. Lee, IEEE Transaction on Knowledge and Data Engineering, Vol. 24, No. 11, pp. 1993-2007, 2012
Optimizing In-Network Aggregate Queries in Wireless Sensor Networks for Energy Saving
C.-C. Hung, W.-C. Peng, Data and Knowledge Engineering, Vol. 70, No. 7, pp. 617-641, 2011
A Regression-based Approach for Mining User Movement Patterns from Random Sample Data
C.-C. Hung, W.-C. Peng, Data and Knowledge Engineering, Vol. 70, No. 1, pp. 1-20, 2011
Conference Papers
Causality-Driven Patent Valuation: Integrating Domain Knowledge and Language Models in a Structured Interview-Like Selection Process
C.-W. Kuo, Y.-C. Tseng, W.-C. Peng, C.-C. Hung, H.-N. Su, Proceedings of International Conference on Technologies and Applications of Artificial Intelligence, 2024
Predicting 24-Hour Emergency Room Revisits: A Concept Bottleneck Approach
Y.-C. Tseng, C.-T. Dao, C.-W. Kuo, F.-M. Hung, C.-C. Hung, W.-C. Peng, Proceedings of International Conference on Technologies and Applications of Artificial Intelligence, 2024
Using Local Gradient Compensation in Federated Learning for Improving Privacy and Performance
J.-W. Chang, W.-C. Chen, C.-C. Hung, the 14th International Conference on Frontier Computing, 2024
Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification
C.-C. Hung, H.-E. Hsiao, C.-C. Lin, H.-H. Hsu, Proceedings of International Conference on Technologies and Applications of Artificial Intelligence, 2023
STGNN: A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction
G. Li, X.Wang, G. S. Njoo, S. Zhong, S.-H. Gary Chan, C.-C. Hung, W.-C. Peng, Proceedings of International Conference on Data Engineering (ICDE), 2022
A Hybrid Deep Learning Network for Long-Term Travel Time Prediction in Freeways
M.-C. Ho, Y. -C. Chen, C.-C. Hung*, H.-C. Wu, Proceedings of IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2021
Spatial-Temporal Similarity for Trajectories with Location Noise and Sporadic Sampling
G. Li, C.-C. Hung, M. Liu, L. Pan, W.-C. Peng , S.-H. Chan, Proceedings of International Conference on Data Engineering (ICDE), 2021
PTGF: Public Transport General Framework for Identifying Transport Modes Based on Cellular Data
X. Guo, C.-C. Hung, G. Li, W.-C. Peng, Proceedings of International Conference on Mobile Data Management (MDM), 2019
Deep Candlestick Predictor: A Framework Toward Forecasting the Price Movement from Candlestick Charts
S.-J. Guo, C.-C. Hung*, F.-C. Hsu, Proceedings of International Symposium on Parallel Architectures, Algorithms and Programming, 2018
TripDecoder - A Framework of Inferring Passengers' Routes in MRT Systems By Using Smart Card Transaction Data
Y. Wang, C.-C. Hung, B. Zheng, E.-P. Lim, Proceedings of International Workshop on Data-driven Intelligent Transportation (In conjunction with ICDM), 2018
Are You on the Right Track? Learning Career Tracks for Job Movement Analysis
M.-F. Chiang, E.-P. Lim, W.-C. Lee, Y. Tian, C.-C. Hung, Proceedings of International Workshop on Data Science for Human Capital Management (In conjunction with ECML/PKDD), 2018
Identifying Niche Singers in Online Music Streaming Services
C.-C. Hung, C.-Y. Kuo, H.-H. Hsu, Y.-A. Chen, Proceedings of 4th International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress (CyberSciTech), 2018
Fusion of Modern and Tradition: A Multi-stage- Based Deep Network Approach for Head Detection
F.-C. Hsu, C.-C. Hung*, Proceedings of Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference (PAKDD), 2018
A velocity-preserving trajectory simplification approach
C.-Y. Lin, C.-C. Hung, P.-R. Lei, Proceedings of Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2016
BRF: A Framework of Retrieving Brand Names of Products in Auction Sites
Ivy H.-I. Hoi, Mars L. Liao, C.-C. Hung, Evans Tseng, Proceedings of E- Commerce and Web Technologies (EC-WEB), 2013
On Discovery of Traveling Companions from Streaming Trajectories
Lu-An Tang, Y. Zheng, J. Yuan, Jiawei Han, Alice Leung, C.-C. Hung, and W.-C. Peng, Proceedings of the 28th IEEE International Conference on Data Engineering, 2012
Mining trajectory profiles for discovering user communities
C.-C. Hung, C.-W. Chang, W.-C. Peng, Proceedings of the 1st Workshop on Location- Based Social Networks (in conjunction with ACM GIS), 2009
Book Chapters
Big Data Management on Wireless Sensor Networks
C.-C. Hung, C.-C. Hsieh, Big Data Analytics for Sensor-Network Collected Intelligence, Academic Press, 2017
Clustering Clues of Trajectories for Discovering Frequent Movement Behaviors
C.-C. Hung, L.-Y. Wei, W.-C. Peng, Behavior Computing: Modeling, Analysis, Mining and Decision, Springer-Verlag New York, 2012
