1. T. P. Hong and T. T. Wang, "A new fuzzy flexible flow-shop algorithm for continuous fuzzy domain," Lecture Notes in Computer Science, Vol. 1611, pp. 74-79, 1999. (SCI)
2. J. Y. Lin, B. C. Chien and T. P. Hong, "A function-based classifier learning scheme using genetic programming", Lecture Notes in Computer Science, Vol. 2336, pp. 92-103, 2002. (SCI)
3. Y. C. Lee, T. P. Hong and W. Y. Lin, "Mining fuzzy association rules with multiple minimum supports using maximum constraints", Lecture Notes in Computer Science, Vol. 3214, 2004, pp. 1283-1290. (SCI)
4. T. P. Hong, W. C. Chang and J. H. Lin, "A two-phased ontology selection approach for semantic web", Lecture Notes in Computer Science, Vol. 3684, pp. 403-408, 2005. (SCI)
5. T. P. Hong, C. M. Huang and S. J. Horng, “Mining linguistic mobility patterns for wireless networks", Lecture Notes in Computer Science, Vol. 3683, pp. 1352-1357, 2005. (SCI)
6. C. Y. Wang, S. S. Tseng and T. P. Hong, "Improved negative-border online mining approaches", Lecture Notes in Computer Science, Vol. 3918, pp. 483-492, 2006. (SCI)
7. Y. C. Lee, T. P. Hong and T. C. Wang, "Mining multiple-level association rules under the maximum constraint of multiple minimum supports", Lecture Notes in Computer Science, Vol. 4031, pp. 1329 – 1338, 2006. (SCI)
8. C. L. Wang, G. Horng, Y. S. Chen and T. P. Hong, “An efficient key-update scheme for wireless sensor networks", Lecture Notes in Computer Science, Vol. 3991, pp. 1026 -1029, 2006. (SCI)
9. C. W. Lin, T. P. Hong, W. H. Lu and C. H. Wu, “Maintenance of fast updated frequent trees for record deletion based on prelarge concepts", Lecture Notes in Artificial Intelligence, Vol. 4570, pp. 675 - 684, 2007. (SCI)
10. C. H. Chen, T. P. Hong and V. S. M. Tseng, "A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports", Lecture Notes in Computer Science, Vol. 5012, pp. 864 – 869, 2008. (SCI)
11. C. W. Lin, T. P. Hong, W. H. Lu and B. C. Chien “Incremental mining with prelarge trees", Lecture Notes in Artificial Intelligence, Vol. 5027, pp. 169 – 178, 2008. (EI)
12. S. L. Wang, T. Z. Lai, T. P. Hong and Y. L. Wu, “Hiding predictive association rules on horizontally distributed data”, Lecture Notes in Artificial Intelligence, Vol. 5579, pp. 133 - 141, 2009. (EI)
13. C. W. Lin, T. P. Hong and W. H. Lu, "Efficiently mining high average utility itemsets with a tree structure", Lecture Notes in Artificial Intelligence, Vol. 5990, pp. 131-139, 2010. (EI)
14. G. C. Lan, T. P. Hong and V. S. M. Tseng, "A three-scan algorithm to mine high on-shelf utility itemsets", Lecture Notes in Artificial Intelligence, Vol. 5991, pp. 351-358, 2010. (EI)
15. Y. C. Lee, T. P. Hong and C. H. Chen, "Mining generalized association rules with quantitative data under multiple support constraints", Lecture Notes in Artificial Intelligence, Vol. 6422, pp. 224-231, 2010. (EI)
16. M. T. Wu, T. P. Hong and C. N. Lee, "An improved ant algorithm for fuzzy data mining", Lecture Notes in Artificial Intelligence, Vol. 6422, pp. 344-351, 2010. (EI)
17. S. L. Wang, Z. Z. Tsai, T. P. Hong and I. H. Ting "Anonymizing shortest paths on social network graphs", Lecture Notes in Artificial Intelligence, Vol. 6591, pp. 129 - 136, 2011. (EI)
18. T. P. Hong, C. W. Lin, K. T. Yang and S. L. Wang, “A heuristic data-sanitization approach based on TF-IDF", Lecture Notes in Computer Science, Vol. 6703, pp. 156-164, 2011. (EI)
19. T. P. Hong, C. W. Lin, T. C. Lin, Y. F. Chen and S. T. Pan, "Integration of multiple fuzzy FP-trees", Lecture Notes in Artificial Intelligence, Vol. 7196, pp. 330-337, 2012. (EI)
20. L. T. T. Nguyen, B. Vo, T. P. Hong and H. C. Thanh, “Interestingness measures for classification based on association rules", Lecture Notes in Computer Science, Vol. 7654, pp. 383 – 392, 2012. (EI)
21. T. T. Pham, J. W. Luo, T. P. Hong and B. Vo, “MSGPs: a novel algorithm for mining sequential generator patterns", Lecture Notes in Computer Science, Vol. 7654, pp. 393 – 401, 2012. (EI)
22. C. W. Lin, T. P. Hong, C. C. Chang and S. L. Wang, "A GA-based approach for hiding sensitive itemsets by transaction insertion", Lecture Notes in Information Technology, Vol. 38, pp. 3 – 9, 2012. (EI)
23. B. Le, C. T. Tran, T. P. Hong and B. Vo, “A space-time trade off for FUFP-trees maintenance”, Lecture Notes in Artificial Intelligence, Vol. 7803, pp. 206-214, 2013. (EI)
24. C. H. Chen, Y. Li and T. P. Hong, "Multi-level genetic-fuzzy mining with a tuning mechanism", Lecture Notes in Computer Science, Vol. 8398, pp. 82-89, 2014. (EI).
25. C. R. Li, C. W. Lin, W. S. Gan and T. P. Hong, "A modified maintenance algorithm for updating FUSP tree in dynamic database", Lecture Notes in Artificial Intelligence, Vol. 8481, pp. 301-310, 2014. (EI)
26. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using minimum constraints", Lecture Notes in Artificial Intelligence, Vol. 8482, pp. 42-47, 2014. (EI)
27. G. C. Lan, T. P. Hong and Y. T. Chao, "Multi-criteria utility mining using maximum constraints", Lecture Notes in Artificial Intelligence, Vol. 8733, pp. 466-471, 2014. (EI)
28. T. Lu, B. Vo, H. T. Nguyen and T. P. Hong, “A new method for mining high average utility itemsets", Lecture Notes in Computer Science, Vol. 8838, pp. 33-42, 2014. (EI)
29. S. S. Chen, C. F. Huang and T. P. Hong, “An improved multi-objective genetic model for stock selection with domain knowledge", Lecture Notes in Artificial Intelligence, Vol. 8916, pp. 66-73, 2014. (EI)
30. C. W. Lin, W. S. Gan, T. P. Hong and J. S. Pan, "Incrementally updating high-utility itemsets with transaction insertion", Lecture Notes in Computer Science, Vol. 8933, pp. 44-56, 2014. (EI)
31. C. H. Chen, T. P. Hong and Y. Li, "A type-2 fuzzy mining approach for linguistic association rules", Lecture Notes in Artificial Intelligence, Vol. 9012, pp. 128-134, 2015. (EI)
32. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining weighted frequent itemsets with the recency constraint", Lecture Notes in Computer Science, Vol. 9313, pp. 635-646, 2015. (EI)
33. C. W. Lin, X. B. Lv, P. Fournier-Viger, T. Y. Wu and T. P. Hong, "Efficient mining of fuzzy frequent itemsets with type-2 membership functions", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 191-200, 2016. (EI)
34. T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining drift of fuzzy membership functions", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 211-218, 2016. (EI)
35. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Mining discriminative high utility patterns", Lecture Notes in Artificial Intelligence, Vol. 9622, pp. 219-229, 2016. (EI)
36. C. W. Lin, W. S. Gan, P. Fournier-Viger, T. P. Hong and V. S. M. Tseng, "Efficient mining of uncertain data for high-utility itemsets", Lecture Notes in Computer Science, Vol. 9658, pp. 17-30, 2016. (EI)
37. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong and J. H. Su, "Efficient mining of high average-utility itemsets with multiple minimum thresholds", Lecture Notes in Artificial Intelligence, Vol. 9728, pp. 14-28, 2016. (EI)
38. C. W. Lin, W. S. Gan, P. Fournier-Viger and T. P. Hong, "Efficient mining of weighted frequent itemsets in uncertain databases", Lecture Notes in Artificial Intelligence, Vol. 9729, pp. 236-250, 2016. (EI)
39. J. H. Su, T. P. Hong, C. Y. Chin, Z. F. Liao and S. Y. Cheng, "A high-performance algorithm for mining repeating patterns", Lecture Notes in Artificial Intelligence, Vol. 10191, pp. 631–640, 2017. (EI)
40. C. H. Chen, B. Y. Chiang, T. P. Hong, D. C. Wang and C.W. Lin, "An approach for diverse group stock portfolio optimization using the fuzzy grouping genetic algorithm", Lecture Notes in Artificial Intelligence, Vol. 10751, pp. 510–518, 2018. (EI)
41. P. Y. Huang, C. S. Hsu, T. P. Hong, Y. Z. Wang, S. F. Huang and S. M. Li, "Automatic parameter setting in Hough circle transform", Lecture Notes in Artificial Intelligence, Vol. 12033, pp. 527-535, 2020. (EI)
42. C. H. Chen, C. K. Fan and T. P. Hong, "Construction of an intelligent tennis coach based on kinect and a sensor-based tennis racket", Lecture Notes in Artificial Intelligence, Vol. 12033, pp. 536-544, 2020. (EI)
43. C. H. Chen, C. Y. Ye, Y. C. Lee and T. P. Hong, "A SPEA-based group trading strategy portfolio optimization algorithm", Lecture Notes in Computer Science, Vol. 12672, pp. 583-592, 2021. (EI).
44. T. P. Hong, M. P. Ku, H. W. Chiu, W. M. Huang, S. M. Li and C. W. Lin, "A single-stage tree-structure-based approach to determine fuzzy average-utility itemsets", Lecture Notes in Computer Science, Vol. 12798, pp. 66-72, 2021. (EI).
45. C. H. Chen, W. H. Lai and T. P. Hong, "An effective correlation-based pair trading strategy using genetic algorithms", Lecture Notes in Computer Science, Vol. 12876, pp. 255–263, 2021. (EI)
46. T. P. Hong, H. Chang, S. M. Li and Y. C. Tsai, "A dedicated temporal erasable-itemset mining algorithm", Lecture Notes in Networks and Systems, Vol. 418, pp. 977–985, 2021.
47. Z. Hu, M. Last, T. P. Hong, O. K. Tyshchenko and E. Kashyap "A noise resistant credibilistic fuzzy clustering algorithm on a unit hypersphere with illustrations using expression data", Lecture Notes in Data Engineering, Computational Intelligence and Decision Making, Vol. 149, pp. 564–590, 2022. (EI)
48. C. H. Chen, Y. Q. Huang and T. P. Hong, "Using GPUs to speed up genetic-fuzzy data mining with evaluation on all large itemsets", Lecture Notes in Computer Science, Vol. 13757, pp. 17-26, 2022. (EI)
49. T. P. Hong, Y. L. Chen, W. M. Huang and Y. C. Tsai, "Erasable-itemset mining for sequential product databases", Lecture Notes in Networks and Systems, Vol. 647, pp. 566–574, 2023.
50. Y. C. Lee, T. P. Hong, Y. C. Chiu and C. H. Chen, "A GA-based scheduling algorithm for semiconductor-product thermal cycling tests", Lecture Notes in Electrical Engineering, Vol. 1114, pp. 403-412, 2023, Taiwan.