Accepted Papers to be Published

• Lo Pang-Yun Ting, You-Cheng Guo, Chi-Chun Lin, Shih-Hsun Lin and Kun-Ta Chuang*, “MAC-DP: Multi-Agent Control for Dynamic Placement of Electric Vehicle Charging Stations”, International Journal of Data Science and Analytics (JDSA), accepted.
• Lo Pang-Yun Ting, Ali Şenol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang*, and Huan Liu, "Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging", accepted by IEEE BigData 2025 IDB track.
• Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang, “DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing”, International Joint Conference on Artificial Intelligence, IJCAI 2025 (acceptance rate 18%)
• Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang, “Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System”, International Joint Conference on Artificial Intelligence, IJCAI 2025 (acceptance rate 18%)
• Lo Pang-Yun Ting, Hua-Cheng Cheng, Yu-Hua Zeng, Kun-Ta Chuang, "Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting", accepted by PAKDD 2025 (oral presentation, acceptance rate 24%)
• Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang, "Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables", accepted by IEEE BigData 2024 (regular paper, acceptance rate 18.8%)
• Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang, "Multi-Agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations", accepted by PAKDD 2024 (oral presentation, acceptance rate ~19%)
• Moritz Rosar, Kun-Ta Chuang, "Using Blockchain for Incentive-Driven FHIR-based Health Record Exchange" accepted in the 39th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2024)
• Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang*, "An Explore-Exploit Workload-bounded Strategy for Rare Event Detection in Massive Data Streams", ACM Transactions on Intelligent Systems and Technology (ACM TIST), accepted.
• Lo Pang-Yun Ting,Huan-Yang Wang, Jhe-Yun Jhang, Kun-Ta Chuang*, "Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion", ACM Transactions on Intelligent Systems and Technology (ACM TIST), accepted.
  

Refered Papers

• Chi-Chun Lin, Kun-Ta Chuang, Wush Chi-Hsuan Wu, Ming-Syan Chen "Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better" ACM Transactions on Knowledge Discovery from Data (ACM TKDD), Vol. 14, No. 2, Article 14, February 2020
• Chien-Wei Chang, Chu-Di Chen, Kun-Ta Chuang "Queries of K-Discriminative Paths on Road Networks" Knowledge and Information Systems, Volume 62, pages 1751–1780, 2020
• Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang "A check-in shielding scheme against acquaintance inference in location-based social networks" World Wide Web Journal, Volume 22, pages 2321–2354, 2019
• Shan-Yun Teng, Lo-Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang "Worship Prediction: Identify Followers in Celebrity-Dived Networks" World Wide Web Journal, Volume 22 Issue 1, January 2019
• Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang "An Active Learning-based Approach for Location-aware Acquaintance Inference" Knowledge and Information Systems, Volume 59 Issue 3, June 2019
• Shan-Yun Teng, Wei-Shinn Ku, Kun-Ta Chuang "Toward Mining Stop-by Behaviors in Indoor Space" ACM Transactions on Spatial Algorithms and Systems, Volume 3, Issue 2, August 2017
• Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang "Node Reactivation Model to Intensify Influence on Network Targets" Knowledge and Information Systems, Volume 54, Number 3, March 2018
• Min-Hsiang Yang, Chun-Rong Huang, Wan-Chen Liu, Shu-Zhe Lin, Kun-Ta Chuang "Binary Descriptor Based Nonparametric Background Modeling for Foreground Extraction by Using Detection Theory" IEEE Trans. Circuits Syst. Video Techn. 25(4): 595-608
• Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, and Ming-Syan Chen "Density Conscious Subspace Clustering for High-Dimensional Data" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 22, No. 1, pp. 16-30, January 2010SCI
• Kun-Ta Chuang, Hung-Leng Chen, and Ming-Syan Chen "Feature Preserved Sampling over Streaming Data" ACM Trans. on Knowledge Discovery from Data (TKDD), Vol. 2, No. 4, 2009
• Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and Ming-Syan Chen "Toward the Optimal Itinerary-based KNN Query Processing in Mobile Sensor Networks" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 12, pp. 1655-1668, December 2008SCI
• Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen "On Data Labeling for Clustering Categorical Data" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No. 11, pp. 1458-1471, November 2008SCI
• Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "Power-Law Relationship and Self-Similarity in the Itemset Support Distribution: Analysis and Applications" Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1121-1141, August 2008SCI
• Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "Mining Top-k Frequent Patterns in the Presence of the Memory Constraint" Very Large Data Base Journal (VLDBJ), Vol. 17, No. 5, pp. 1321-1344, August 2008SCI
• Hao-Ping Hung, Kun-Ta Chuang, and Ming-Syan Chen "Efficient Top-k Query Processing over Multiple Streams with Minimized Global Error" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 10, pp. 1404-1419, October 2007SCI
• Kun-Ta Chuang, Keng-Pei Lin, and Ming-Syan Chen "Quality-Aware Sampling and its Applications in Incremental Data Mining" IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 19, No. 4, pp. 468-484, April 2007SCI
• Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Adherence Clustering: An Efficient Method for Mining Market-Basket Clusters" Information Systems 31, 170-186, 2006SCI
  

Conference Papers

國際會議

• Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang "An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management" The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'22) (blind-review, acceptance rate=19.3%, out of 627 submissions)
• Lo Pang-Yun Ting, Shan-Yun Teng, Kung-Ta Chuang, and Ee-Peng Lim "Learning Personal Conscientiousness from Footprints in E-Learning Systems" Proc. of the IEEE International Conference on Data Mining (ICDM 2020) (triple-blind review, short paper, acceptance rate=19.7% out of 930 submissions)
• Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu "Interactive Unknowns Recommendation in E-Learning Systems" Proc. of the IEEE International Conference on Data Mining (ICDM 2018) (triple-blind review, full paper, acceptance rate=8.86% out of 948 submissions)
• Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang "Predictive Team Formation Analysis via Feature Representation Learning on Social Networks" Proc. of the Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2018)(blind review, Short Presentation paper, acceptance ratio 105/590~17%)
• Wei Lee, Chien-Wei Chang, Po-An Yang, Chi-Hsuan Huang, Ming-Kuang Wu, Chu-Cheng Hsieh, Kun-Ta Chuang "Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration" 21st International Conference on Extending Database Technology, Demo Track (EDBT-2018)
• Shan-Yun Teng, Cheng-Kuan Ou and Kun-Ta Chuang "Mining Temporal Fluctuating Patterns" Proc. of the Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2017)(blind review, Long Presentation paper, acceptance ratio 45/458~9.8%)
• Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu and Kun-Ta Chuang "Monetary Discount Strategies for Real-Time Promotion Campaign" Proc. of the 26th International World Wide Web Conference (WWW 2017) (acceptance rate=17%, 164 out of 966 submissions)
• Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, and Kun-Ta Chuang "Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement" Proc. of the IEEE International Conference on Data Mining (ICDM 2016) (triple-blind review, regular paper, acceptance rate=8.5% out of 923 submissions)
• C-C. Lin, K.-T. Chuang, W. Wu and M.-S. Chen "Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget" Proc. of the 2016 ACM International Conference on Information and Knowledge Management (CIKM 2016) (blind review, short paper, acceptance ratio (165+105)/935~28%)
• Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin Stultz, John Guttag "Transferring Knowledge from Text to Predict Disease Onset" Machine Learning for Healthcare (blind review)
• Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang "On the Guarantee of Containment Probability in Influence Minimization" Prof. of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016) (full paper, acceptance ratio 43/316 ~ 13%)
• Chien-Wei Chang, Po-An Yang, Ming-Han Lyu and Kun-Ta Chuang "Influential Sustainability on Social Networks" Proc. of the IEEE International Conference on Data Mining (ICDM 2015) (triple-blind review, regular paper, acceptance rate=8.4% out of 807 submissions)
• Chien-Wei Chang, Mi-Yen Yeh and Kun-Ta Chuang "On Influence Maximization to Target Users in the Presence of Multiple Acceptances" Prof. of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)
• Shan Yun Teng, Mi-Yen Yeh and Kun-Ta Chuang "Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network" Prof. of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)
• Bo-Heng Chen and Kun-Ta Chuang "A Model-Selection Framework for Concept-Drifting Data Streams" Proc. of the 2014 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2014). (blind review, long presentation paper, acceptance rate=10.9%)
• Ying-Ju Chen, Kun-Ta Chuang, and Ming-Syan Chen "Spatial-Temporal Query Homogeneity for KNN Object Search on Road Networks " Proc. of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), October 27- November 1, 2013. (blind review, full paper, acceptance rate =143/848~16%)
• Ying-Ju Chen, Kun-Ta Chuang, and Ming-Syan Chen "Coupling or Decoupling for KNN Search on Road Networks? A Hybrid Framework on User Query Patterns" Proc. of the ACM 20th Intern'l Conf. on Information and Knowledge Management (CIKM-11), October 24-28, 2011. (blind review, full paper, acceptance rate =134/917~15%)
• Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and Ming-Syan Chen "DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks" Proc. of the 23rd IEEE Intern'l Conf. on Data Engineering (ICDE-07), April 16-20, 2007. (full paper, acceptance rate=122/659~18%)
• Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, and Ming-Syan Chen "Density Conscious Subspace Clustering for High-Dimensional Data" Proc. of the ACM 15th Intern'l Conf. on Information and Knowledge Management (CIKM-06), November 6-11, 2006. (poster paper, acceptance rate =81(full)+56(poster)/537=25%)
• Kun-Ta Chuang, Jiun-Long Huang, and Ming-Syan Chen "On Exploring the Power-Law Relationship in the Itemset Support Distribution" Proc. of the 10th Intern'l Conf. on Extending Database Technology (EDBT-2006), March 26-30, 2006. (acceptance rate 56/355=16%)
• Hung-Leng Chen, Kun-Ta Chuang, and Ming-Syan Chen "Toward Highly Efficient Clustering: A Framework of Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values" Proc. of the IEEE 5th Intern'l Conf. on Data Mining (ICDM-2005), November 27-30, 2005. (full paper, acceptance rate=69/630=11%)
• Kun-Ta Chuang and Ming-Syan Chen "Frequent Pattern Discovery with Memory Constraint" Proc. of the ACM 14th Intern'l Conf. on Information and Knowledge Management (CIKM-05), October 31 - November 5, 2005.
• Yi-Hong Chu, Kun-Ta Chuang, and Ming-Syan Chen "QED: An Efficient Framework for Temporal Region Query Processing" Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)
• Kun-Ta Chuang, Wen-Chieh Yang, and Ming-Syan Chen "Progressive Sampling for Association Rules based on Sampling Error Estimation" Proc. of the 9th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-05), May 18-20, 2005. (full paper, acceptance rate=49/327=15%)
• Kun-Ta Chuang and Ming-Syan Chen "Clustering Categorical Data by Utilizing the Correlated-Force Ensemble" Proc. of the 4th SIAM Intern'l Conference on Data Mining (SDM-04), April 22-24, 2004. (regular paper, acceptance rate=26/161=16.1%)
• Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Clustering Item Data Sets with Association-Taxonomy Similarity" Proc. of the IEEE 3rd Intern'l Conf. on Data Mining (ICDM-2003), November 19-22, 2003. (short paper, acceptance rate=23%)
• Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Using Category-Based Adherence to Cluster Market-Basket Data" Proc. of the IEEE 2nd Intern'l Conf. on Data Mining (ICDM-2002), December 9-12, 2002. (full paper, acceptance rate=72/369=19%)
• Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data" Proc. of the 4th International Conference on Data Warehousing and Knowledge Discovery (DaWaK-2002), September 4-6, 2002, pp 42-51.
• Ching-Huang Yun, Kun-Ta Chuang, and Ming-Syan Chen "An Efficient Clustering Algorithm for Market Basket Data Based on Small-Large Ratios" Proceedings of the 25th International Computer Software and Applications Conference (COMPSAC 2001), October 8-12, 2001, pp. 505-510.
  

主辦及參與國際會議

• PC member, the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI)(2018)
• PC member, the ACM 20th International Conference on Information and Knowledge Management (CIKM)(2015)
• PC member, the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2015)(2015)
• PC member, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)(2015)