Publications

Journal Papers (30)

1. Yi-Cheng Chen, Mu-Ping Chang, Wang-Chien Lee, "A Virtual Reinforcement Learning for Defect Prediction on Smart Manufacturing,"  IEEE Transactions on Emerging Topics in Computing, Vol. No. 3, pp. 990-1002, 2025. [SCI, IF=5.4, 28/120]

2. Yi-Cheng Chen, Kuen-Liang Sue, "A dual adversarial structure of generative adversarial network for nature language generation," Industrial Management & Data Systems, Vol. 125 No. 4, pp. 1279-1305, 2025. [SCI, IF=4.7, 19/69]

3. Yi-Cheng Chen, Lin Hui, Yung-Lin Chu, "Elastic-Trust Hybrid Federated Learning," Computer Science and Information Systems, online published, 2025. [SCI, IF=1.8, 75/128]   

4. Lin Hui, Yi-Cheng Chen, "Bi-Phase LSTM: A LSTM-Based Autoencoder Architecture for Dynamic Social Network Prediction," International Journal of Web and Grid Services, online published, 2025. [SCI, IF=1.4, 87/128] 

5. Yi-Cheng Chen, Yen-Liang Chen, Chia-Hsiang Hsu, "G-TransRec: A Transformer-Based Next-Item Recommendation With Time Prediction," IEEE Transactions on Computational Social Systems, Vol. 11, Issue 3, pp. 4175-4188, 2024.  [SCI, IF=4.9, 51/258] 

6. Yi-Cheng Chen, Wang-Chien Lee, "An Evolving Preference-Based Recommendation System," IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, Issue 2, pp. 1118-1124, 2024. [SCI, IF=6.5, 37/204] 

7. Yi-Cheng Chen, Wang-Chien Lee, "A Novel Cross-Domain Recommendation with Evolution Learning," ACM Transactions on Internet Technology, Vol. 24, Issue 1, Article 6, pp. 1-23, 2024. [SCI, IF=4.1, 23/128]

8. Yi-Cheng Chen, Yen-Liang Chen, "A novel virtual-communicated evolution learning recommendation," Industrial Management & Data Systems, Vol. 124, No. 1, pp. 416-441, 2024. [SCI, IF=4.7, 19/69]

9. Tipajin Thaipisutikul, Yi-Cheng Chen, "C3D-LSTM: A Novel Convolution-3D-Based LSTM for Link Prediction in Dynamic Social Network," International Journal of Web and Grid Services, Vol. 20, No. 1, pp. 114-134, 2024. [SCI, IF=1.4, 87/128]

10. Lin Hui, Yi-Cheng Chen, "Effectively Learn How to Learn: A Novel Few-Shot Learning with Meta-Gradient Memory," International Journal of Web and Grid Services, Vol. 24, No. 1, pp. 3-24, 2024. [SCI, IF=1.4, 87/128]  

11. Yi-Cheng Chen, Tipajin Thaipisutikul, Timothy K. Shih, "A Learning-Based POI Recommendation with Spatio-temporal Context Awareness," IEEE Transactions on Cybernetics, Vol. 52, No. 4, pp. 2453-2466, 2022.  [SCI, IF=11.8, 9/145]

12. Yi-Cheng Chen, "A Progressive Genetic-Based Neural Architecture Search," Industrial Management & Data Systems, Vol. 122, No. 3, pp. 645-665, 2022. [SCI, IF=5.5, 29/110] 

13. Yi-Cheng Chen, Yen-Liang Chen, Jyun-Yun Lu, "MK-Means: Detecting Evolutionary Communities in Dynamic Networks," Expert Systems with Applications, Vol. 176, 114807, 2021. [SCI, IF=8.5, 6/86]  

14. Guan-Yi Jheng, Yi-Cheng Chen, Hung-Ming Liang, "Evolution Pattern Mining on Dynamic Social Network," Journal of Supercomputing, Vol. 77(7),  pp.6979-6991, 2021. [SCI, IF=3.3, 37/111]

15. Yi-Cheng Chen, Lin Hui, Tipajin Thaipisutikul, "A Collaborative Filtering Recommendation System with Dynamic Time Decay," Journal of Supercomputing, Vol. 77(1), pp. 244-262, 2021. [SCI, IF=3.3, 37/111]

16. Tipajin Thaipisutikul, Yi-Cheng Chen, "Pattern-based dual learning for point-of-interest (POI) recommendation," Industrial Management & Data Systems, Vol. 120, No. 10, pp. 1901-1921, 2020. [SCI, IF=5.5, 29/110] 

17. Jun-Zhe Wang, Yi-Cheng Chen, Wen-Yueh Shih, Jiun-Long Huang, “Mining High Utility Temporal Patterns on Time Interval-Based Data,” ACM Transactions on Intelligent Systems and Technology, Vol. 11, No. 4, Article 43, 2020. [SCI, IF=5.0, 53/158]

18. Noorkholis Luthfil Hakim, Timothy K. Shih, Yi-Cheng Chen, Chih-Yang Lin, "Dynamic Hand Gesture Recognition Using 3DCNN and LSTM with FSM Context-Aware Model," Sensors, Vol. 19, Issue 24, Article 5429, pp. 1-19, 2019. [SCI, IF=3.9, 19/63]

19. Yi-Cheng Chen, “A Novel Algorithm for Mining Opinion Leaders in Social Networks,” World Wide Web, Vol. 22, Issue 3, pp. 1279-1295, 2019. [SCI, IF=3.7, 30/108]

20. Yi-Cheng Chen, Julia Tzu-Ya Weng, Lin Hui, “A Novel Algorithm for Mining Closed Temporal Patterns from Interval-based Data,” Knowledge and Information Systems, Vol. 46, Issue 1, pp. 151-183, 2016. [SCI, IF=2.7, 95/145]

21. Lin Hui, Yi-Cheng Chen, Julia Tzu-Ya Weng, Suh-Yin Lee “Incremental Mining of Temporal Patterns in Interval-based Database,” Knowledge and Information Systems, Vol. 46, Issue 2, pp. 423-438, 2016. [SCI, IF=2.7, 95/145]

22. Jun-Zhe Wang, Jiun-Long Huang, Yi-Cheng Chen, “On Efficiently Mining High Utility Sequential Patterns,” Knowledge and Information Systems, Vol. 49, pp. 597-627, 2016. [SCI, IF=2.7, 95/145]

23. Yi-Cheng Chen, Wei-Hsun Liao, Y​u​t​a​k​a​ ​W​a​t​a​n​o​b​e, “A Cloud-Based System for Dynamically Capturing Appliance Usage Relations,” International Journal of Web and Grid Services, Vol. 12, no. 3, pp. 257-272, 2016. [SCI, IF=1.0, 98/108]

24. Shih-Hao Chang, Yi-Cheng Chen, Yan Pei, Chih-Ning Li, “A Cloud Based Type-2 Diabetes Mellitus Lifestyle Self Management System,” International Journal of Web and Grid Services, Vol. 12, no. 3, pp. 240-256, 2016. [SCI, IF=1.0, 98/108]

25. Yi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee, “Mining Temporal Patterns in Interval-based Data,” IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 12, pp. 3318-3331, 2015. [SCI, IF=8.9, 9/158]

26. Yi-Cheng Chen, Wen-Chih Peng, Jiun-Long Huang, Wang-Chien Lee, “Significant Correlation Pattern Mining in Smart Homes,” ACM Transactions on Intelligent Systems and Technology, Vol. 6, No. 3, Article 35, pp. 1-23, 2015. [SCI, IF=5.0, 53/158]

27. Yi-Cheng Chen, Wen-Yuan Zhu, Wen-Chih Peng, Wang-Chien Lee, Suh-Yin Lee, “CIM: Community-based Influence Maximization,” ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 2, Article 25, pp 1-31, 2014. [SCI, IF=5.0, 53/158]

28. Kuei-Fang Lee, Yi-Cheng Chen, Paul Wei-Che Hsu, Ingrid Y. Liu, Lawrence Shih-Hsin Wu, “MicroRNA Expression Profiling Altered by Variant Dosage of Radiation Exposure,” BioMed Research International, Vol. 2014, Article 456323, 10 pages, 2014. [SCI, IF=3.246, 90/159]

29. Kuei-Fang Lee, Julia Tzu-Ya Weng, Paul Wei-Che Hsu, Yu-Hsiang Chi, Ching-Kai Chen, Ingrid Y. Liu, Yi-Cheng Chen, Lawrence Shih-Hsin Wu, “Gene Expression Profiling of Biological Pathway Alterations by Radiation Exposure,” BioMed Research International, Vol. 2014, Article 834087, 9 pages, 2014. [SCI, IF=3.246, 90/159]

30. Yi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee, “Efficient Algorithms for Influence Maximization in Social Networks,” Knowledge and Information Systems, Vol. 33, Issue 3, pp 577-601, 2012. [SCI, IF=2.7, 95/145]

Conference Papers (62)

1. Yi-Cheng Chen and Lin Hui, "A Novel Time-Awareness Recommendation System," The 13th International Conference on Ubi-Media Computing (Umedia 2025), 2025.

2.  Yi-Cheng Chen, "C2CL: A Centroid-Concentration Contrastive Learning  Framework on Fault Detection and Classification in Industry 4.0," The 2025 International Conference on Big Data and Enterprise Resource Management  (CERPS 2025), 2025. (Excellent Paper Award)

3. Yi-Cheng Chen, Lin Hui, "The Efficiency Enhancement for Continual Learning on Cluster-Based Gradient Episodic Cache Memory," The 14th International Conference on Frontier Computing (FC 2024), 2024. (Best Paper Award)

4. Lin Hui, Yi-Cheng Chen, "A Novel Bi-Phase LSTM Architecture for Dynamic Social Network Prediction," The 14th International Conference on Frontier Computing (FC 2024), 2024.

5. Yi-Cheng Chen, "GAN2: The Adversarial Structure of Generative Adversarial Network for Natural Language Generation," The 2024 International Conference on Big Data and Enterprise Resource Management  (CERPS 2024), 2024. (Best Paper Award)

6. Yen-Liang Chen, Yi-Cheng Chen, "A Novel Ensemble Model for Link Prediction in Social Network," The 2nd International Conference on Artificial Intelligence and Information Management (AIIM 2024), 2024.

7. Yi-Cheng Chen, Lin Hui, Ying-Hong Wang, "An Augmented User Context-Awareness Recommendation System," The 13th National Conference on Web Intelligence and Applications (NCWIA 2023), 2023.

8. Lin Hui, Yi-Cheng Chen, Ying-Hong Wang, "A Novel Social Network Prediction Based on Virtual Knowledge Distillation," The 13th National Conference on Web Intelligence and Applications (NCWIA 2023), 2023.

9. Lin Hui, Yi-Cheng Chen and Pin-Chen Tseng, "A Novel Few-Shot Learning with Meta-Gradient Memory," The 13th International Conference on Frontier Computing (FC 2023), 2023.

10. Yi-Cheng Chen, "A Preference Evolving-Based Recommendation System," The 2023 International Conference on Big Data and Enterprise Resource Management  (CERPS 2023), 2023. (Excellent Paper Award)

11. Yi-Cheng Chen, "A Novel Defect Detection for Smart Manufacturing Based on Neural Architecture Search," The 2022 International Conference on Big Data and Enterprise Resource Management  (CERPS 2022), 2022. (Best Paper Award)

12. Yi-Cheng Chen, "An Evolution-Learning Recommendation System," The 2022 International Conference on Big Data and Enterprise Resource Management  (CERPS 2022), 2022. (Excellent Paper Award)

13. Hsu-Chao Lai, Yi-Shu Lu, Mu-Fan Wang, Yi-Cheng Chen, Wen-Yueh Shih, Jiun-Long Huang, "SPENT+: A Category- and Region-Aware Successive POI Recommendation Model," The 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2021), 2021.

14. Yi-Cheng Chen, "A Progressive Genetic-based Neural Architecture Search," The 2021 International Conference on Big Data and Enterprise Resource Management  (CERPS 2021), 2021. (Best Paper Award)

15. Yi-Cheng Chen, Yen-Liang Chen, "A Novel Ensemble Model for Link Prediction in Social Network," The 2021 International Conference on Big Data and Enterprise Resource Management  (CERPS 2021), 2021. 

16. Ying-Hong Wang, Yi-Cheng Chen, Lin Hui, "An Algorithm based on Efficient Influence Maximization applied to Social Network," The 2020 International Computer Symposium (ICS 2020), 2020.

17. Yi-Cheng Chen, Tipajin Thaipisutikul, "Pattern-based dual learning for point-of-interest (POI) recommendation," The 2020 International Conference on Big Data and Enterprise Resource Management  (CERPS 2020), 2020.

18. Yi-Cheng Chen, Yen-Lung Chu, Lin Hui, Tipajin Thaipisutikul, Kai-Ze Weng, "A Novel Evolution-Based Recommendation System," The 12th IEEE International Conference on Ubi-media Computing and Workshops (Umedia 2019), 2019. (Excellent Paper Award)

19. Tipajin Thaipisutikul, Yi-Cheng Chen, Lin Hui, Pattanasak Mongkolwat, Timothy K. Shih, "The Matters of Deep Reinforcement Learning Toward Practical AI  Applications," The 12th IEEE International Conference on Ubi-media Computing and Workshops (Umedia 2019), 2019.

20. Jaruwan Kanjanasupawan, Yi-Cheng Chen, Tipajin Thaipisutikul, Timothy K. Shih, Anongnart Srivihok, "Prediction of Tourist Behaviour: Tourist Visiting Places by Adapting Convolutional Long Short-Term Deep Learning," The 2019 IEEE International Conference on System Science and Engineering (ICSSE 2019), pp 12-17, 2019. (Best Paper Award)

21. Yi-Cheng Chen, Lin Hui, Tipajin Thaipisutikul, Hsuan-Li Chen, "A Collaborative Filtering Recommendation System with Dynamic Time Decay," The 11th International Conference on Ubi-media Computing and Workshops (Umedia 2018), 2018.

22. Tipajin Thaipisutikul, Yi-Cheng Chen, Pattanasak Mongkolwat, Suppawong Tuarob, Timothy K. Shih, "An Investigation into The Effectiveness Of Deep Learning in Forecasting Financial Time Series," The 11th International Conference on Ubi-media Computing and Workshops (Umedia 2018), 2018.

23. Nathaporn Wanchainawin, Phoomipat Traipueach, Somchocke Ruengittinun, Yi-Cheng Chen, "A Novel LBSH-Based Photo Searching System," The 11th International Conference on Ubi-media Computing and Workshops (Umedia 2018), 2018. 

24. Worapot Sommool, Ankhtuya Ochirbat, Chalothon Chootong, Yi-Cheng Chen, W.K.T.M. Gunarathne, Timothy K. Shih, "CFPRec: A Content-Based Recommender Model Exploring Reseach Publication Venues," The 11th International Conference on Ubi-media Computing and Workshops (Umedia 2018), 2018.

25. Huang-Wen Huang, Fu-Yi Hung, Lin Hui, Yi-Cheng Chen, "Investigation of skin burns due to enhanced electrical conductivity effect during radiofrequency ablation treatments," The 7th International Conference on Frontier Computing – Theory, Technologies, and Applications (FC 2018), 2018.

26. Lin Hui, Yi-Cheng Chen, Kuei Min Wang, Chiao Ming Peng, Kai-Ze Weng, "Simulation Analysis of Information-based animal observation system," The 7th International Conference on Frontier Computing – Theory, Technologies, and Applications (FC 2018), 2018.

27. W. K. T. M. Gunarathne, Chalothon Chootong, Worapot Sommool, Ankhtuya Ochirbat, Yi-Cheng Chen, Sorel Reisman, Timothy K. Shih, "Web-Based Learning Object Search Engine Solution Together with Data Visualization: The Case of MERLOT II," The 42th IEEE Conference on Computers, Software & Applications, Staying Smarter in a Smartening World (COMPSAC 2018), pp. 1026-1031, 2018. 

28. Sheng-Chih Chen, Yi-Cheng Chen, Wei-Lin Chen, "Data Mining Techniques v.s. Policy Development: Evaluating advanced Applied Technological Policies and Emerging Communication Technology," The 19th IEEE International Symposium on Multimedia (IEEE ISM 2017), pp. 469-474, 2017.

29. Yi-Cheng Chen, Lin Hui, Chun-I Wu, Hsin-Yu Liu, Sheng-Chih Chen, “Opinion Leader Detection in Dynamic Social Networks,” The 10th International Conference on Ubi-media Computing and Workshops (Umedia 2017), 2017. (Best Paper Award)

30. Jarernsri Mitrpanont, Wudhichart Sawangphol, Thanita Vithantirawat, Sinattaya Paengkaew, Prameyuda Suwannasing, Atthapan Daramas, Yi-Cheng Chen, "A Study on Using Python vs Weka on Dialysis Data Analysis," The 2nd International Conference on Information Technology (InCIT 2017), 2017.

31. Lin Hui, Yi-Cheng Chen, Kuei Min Wang, Chun Hong Huang, Hao-Jun You, Yi-Hsiang Chen, Chia-Hao Hsu, “Evaluation of IoT Supported Firefighting in the Search,” The 5th International Conference on Frontier Computing – Theory, Technologies, and Applications (FC 2017), pp. 55-66, 2017. (Best Paper Award)

32. Yi-Cheng Chen, Yi-Hsiang Chen, Chia-Hao Hsu, Hao-Jun You, Jianquan Liu, Xin Huang, “Mining Opinion Leader in Big Social Network,” The 31st IEEE International Conference on Advanced Information Networking and Applications (AINA 2017), pp. 1012-1018, 2017.

33. Zheng Dong, Jianquan Liu, Rong-Hua Li, Cigdem Aslay, Yi-Cheng Chen, Xin Huang, “Querying Intimate-Core Groups in Weighted Graphs,” 11th IEEE International Conference on Semantic Computing (ICSC 2017), pp. 156-163, 2017. (Best Student Paper Award)

34. Chenxiao Dou, Daniel Sun, Yi-Cheng Chen, Guoqiang Li, Jianquan Liu, “Probabilistic Parallelisation of Blocking Non-matched Records for Big Data,” The 2016 IEEE International Conference on Big Data (BigData 2016), pp. 3465-3474, 2016.

35. Hsu-Chao Lai, Wen-Yueh Shih, Jiun-Long Huang, Yi-Cheng Chen, “Predicting Traffic of Online Advertising in Real-time Bidding Systems from Perspective of Demand-Side Platforms,” The 2016 IEEE International Conference on Big Data (BigData 2016), pp. 3491-3498.

36. Yi-Cheng Chen, Ju-Ying Cheng, Hui-Huang Hsu, “A Cluster-Based Opinion Leader Discovery in Social Network,” The 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016), 2016.

37. Yi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee, “Mining Temporal Patterns in Interval-based Data,” The 32th International Conference on Data Engineering (ICDE 2016), pp. 1506-1507, 2016.

38. Yi-Cheng Chen, Bing-Yang Chiang, Hsiu-Chieh Hung, Sheng-Yuan Peng, “Capture Friendship Characteristics in Dynamic Social Network,” The 2015 International Conference on Orange Technologies (ICOT 2015), pp. 46-49, 2015.

39. Yi-Cheng Chen, Hsiu-Chieh Hung, Bing-Yang Chiang, Sheng-Yuan Peng, Peng-Jun Chen, “Incrementally Discovering Usage Correlations among Appliances in Smart Homes,” The 18th International Conference on Network-Based Information Systems (NBiS 2015), pp. 273-279, 2015.

40. Guan-Mau Huang, Yi-Cheng Chen, Julia Tzu-Ya Weng, “Construction of a Prediction Model for Nephropathy among Obese Patients Using Genetic and Clinical Features,” 2nd International Workshop on Pattern Mining and Application of Big Data (Big_PMA’15) (in conjunction with PAKDD’15), pp. 104-112, 2015.

41. Yi-Cheng Chen, Julia Tzu-Ya Weng, Jun-Zhe Wang, Chien-Li Chou, Jiun-Long Huang, Suh-Yin Lee, “Incrementally Mining Temporal Patterns in Interval-based Databases,” The 2014 International Conference on Data Science and Advanced Analytics (DSAA’2014), 2014.

42. Yi-Cheng Chen, Julia Tzu-Ya Weng, “An Intelligent System for Mining and Maintaining Correlation Patterns among Appliances in Smart Home,” 10th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2014), 2014.

43. Guan-Mau Huang, Yu-Chun Lee, Julia Tzu-Ya Weng, Yi-Cheng Chen, Lawrence Shih-Hsin Wu, “Cluster-based Classification of diabetic nephropathy among type 2 diabetic patients,” International Congress on Natural Sciences and Engineering (ICNSE’14), pp. 861-867, 2014.

44. Yi-Cheng Chen, Chien-Chih Chen, Wen-Chih Peng, Wan-Chien Lee, “Mining Correlation Patterns among Appliances in Smart Home Environment,” 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’14), pp. 222-233, 2014.

45. Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng, “Dynamic Circle Recommendation: A Probabilistic Model,” 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’14), pp. 25-37, 2014.

46. Julia T.Y. Weng, Jyun-Jie Lin, Yi-Cheng Chen, Pei-Chann Chang, “Myocardial Infarction Classification by Morphological Feature Extraction from Big 12-Lead ECG Data,” 1st International Workshop on Pattern Mining and Application of Big Data (Big_PMA’14) (in conjunction with PAKDD’14), pp. 689-699, 2014. 

47. Julia T.Y. Weng, Yi-Cheng Chen, Pei-Chann Chang, Shin-Ping Huang, Yu-Wei Chiu, “Comparative analysis of 3D-culture system for murine neonatal heart regeneration: a systematic approach for big gene expression data,” 1st International Workshop on Pattern Mining and Application of Big Data (Big_PMA’14) (in conjunction with PAKDD’14), pp.754-764, 2014. (Best Student Paper Award) 

48. Julia T.Y. Weng, Yi-Cheng Chen, Chung-Hsien Ma, Tzung-Shian Lai, Feng-Ming Ho, “Time-course gene expression profiling of high glucose-induced endothelial cell apoptosis,” The 2014 IEEE International Symposium on Bioelectronics and Bioinformatics (ISBB’14), 2014.

49. Julia T.Y. Weng, Kai-Yao Huang, Shih-Wei Lee, Lawrence Shih-Hsin Wu, Yi-Cheng Chen, Tzong-Yi Lee, “Systematic Pipeline analyzing microRNA-gene interactions that may differentiate between active and latent TB infection,” The 2014 IEEE International Symposium on Bioelectronics and Bioinformatics (ISBB’14), 2014.

50. Yi-Cheng Chen, Wen-Chih Peng, Wan-Chien Lee, “A Novel System for Mining Useful Correlation in Smart Home,” 6th International Workshop on  Domain Driven Data Mining (DDDM’13) (in conjunction with IEEE ICDM’13), pp. 357-364, 2013.

51. Julia T.Y. Weng, Shih-Hsin Wu, Yi-Cheng Chen, Wei-Che Hsu, Chau-Shoun Lee, Andrew T.A. Cheng, “Epigenetic profiling of DNA methylation changes associated with chronic alcohol consumption: a 12-year follow up study,” 6th International Conference on BioMedical Engineering and Informatics (BMEI’13), pp. 471-476, 2013.

52. Yi-Cheng Chen, Wen-Yuan Zhu, Julia T.Y. Weng, Chien-Chih Chen, Gene P.K. Wu, “An Intelligent System for Extracting Correlation of Appliance Usage,” Proceeding of Conference on Technologies and Applications of Artificial Intelligence (TAAI’13), pp. 363-364, 2013.

53. Gene P.K. Wu, Yi-Cheng Chen, Wen-Yuan Zhu, Keith C.C. Chan, “An Intelligent System for Effective Mobile Application Advertising,” Proceeding of Conference on Technologies and Applications of Artificial Intelligence (TAAI’13), pp. 353-354, 2013.

54. Chien-Li Chou, Hua-Tsung Chen, Yi-Cheng Chen, Chien-Peng Ho, Suh-Yin Lee, “Near-Duplicate Video Retrieval and Localization using Pattern Set based Dynamic Programming,” IEEE International Conference on Multimedia and Expo (ICME’13), 2013.

55. Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, Wan-Chien Lee, “Mining Appliance Usage Patterns in Smart Home Environment,” 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’13), pp. 99-110, 2013.

56. Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, “An Intelligent System for Mining Usage Patterns from Appliance Data in Smart Home Environment,” Proceeding of Conference on Technologies and Applications of Artificial Intelligence (TAAI’12), pp. 319-321, 2012. (Best Demonstration Paper Award)

57. Yi-Cheng Chen, Su-Hua Chang, Chien-Li Chou, Wen-Chih Peng, Suh-Yin Lee, “Exploring Community Structures for Influence Maximization in Social Networks,” 6th SNA-KDD Workshop on Social Network Mining and Analysis (in conjunction with ACM SIGKDD’12), pp.1-6, 2012.

58. Chien-Li Chou, Yee-Choy Chean, Yi-Cheng Chen, Hua-Tsung Chen, Suh-Yin Lee, “Social Photo Tagging Recommendation Using Community-Based Group Prior,” 1st International Workshop on Social Multimedia Computing (SMC’12) (in conjunction with IEEE ICME’12), pp.230-235, 2012.

59. Yi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee, “CEMiner–An Efficient Algorithm for Mining Closed Patterns from Interval-based Data,” 11th IEEE International Conference on Data Mining (ICDM’11), pp.121-130, 2011.

60. Yi-Cheng Chen, Chao-Ying Wu, Suh-Yin Lee, “Incremental Maintenance of Topological Pattern in Spatial-Temporal Database,” International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM’11) (in conjunction with IEEE ICDM’11), pp.853-860, 2011.

61. Yi-Cheng Chen, Ji-Chiang Jiang, Wen-Chih Peng, Suh-Yin Lee, “An Efficient Algorithm for Mining Time Interval-based Patterns in Large Databases,” 19th ACM International Conference on Information and Knowledge Management (CIKM’10), pp. 49-58, 2010.

62. Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun Liu, and Suh-Yin Lee, “Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams,” 8th IEEE International Conference on Data Mining (ICDM’08), pp.881-886, 2008.