A.
Journal
Papers
2. “Personalized machine learning prediction of next-day migraine persistence using digital headache diary data,” Headache. 2026; 00: 1-12. doi:10.1111/head.70178
3.
YI-HSUAN CHUANG, JA-HWUNG SU*, TZU-CHIEH LIN,
HUE-XIN CHENG, PIN-HAO SHEN, JIN-PING OU, DING-HONG HAN, YI-WEN LIAO,
YEONG-CHYI LEE, YU-FAN CHENG, TZUNG-PEI HONG, KATHERINE SHU-MIN LI, YI LU, AND
CHIH-CHI WANG, "Effective Tumor Annotation for Automated
Diagnosis of Liver Cancer," in IEEE Journal of
Translational Engineering in Health and Medicine, vol. 13, pp. 251-260,
2025, doi: 10.1109/JTEHM.2025.3576827.
4.
Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su* and Tang-Kai Yin,
"Conditional-GAN-Based Face Inpainting Approaches with Symmetry and
View-Degree Utilization," IEEE Access, vol. 12, pp.
87467-87478, 2024.
5.
Ja-Hwung Su, Yu-Cheng Tung*, Yi-Wen
Liao, Hung-Yu Wang, Bo-Hong Chen, Ching-Di Chang, Yu-Fan Cheng, Wan-Ching
Chang, and Chu-Yu Chin, "Deep Learning-Based Surgical Treatment
Recommendation and Nonsurgical Prognosis Status Classification for Scaphoid
Fractures by Automated X-ray Image Recognition," Biomedicines, vol.
12, no. 6: 1198, 2024.
6.
Yu-Cheng
Tung, Ja-Hwung Su*, Yi-Wen
Liao, Yeong-Chyi Lee, Bo-An Chen, Hong-Ming Huang, Jia-Jhan Jhang, Hsin-Yi
Hsieh, Yu-Shun Tong, Yu-Fan Cheng, Chien-Hao Lai and Wan-Ching Chang, “Effective
Invasiveness Recognition
of Imbalanced Data by Semi-Automated Segmentations
of Lung Nodules,” Biomedicines, vol. 11, no. 11: 2938,
2023.
7.
YI-HSUAN CHUANG , JA-HWUNG SU*, DING-HONG HAN,
YI-WEN LIAO, YEONG-CHYI LEE, YU-FAN CHENG, TZUNG-PEI HONG, KATHERINE SHU-MIN
LI, HSIN-YOU OU, YI LU, AND CHIH-CHI WANG, "Effective Natural Language
Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor
Reports," IEEE Access, vol. 10, pp.
116273-116286, 2022, doi: 10.1109/ACCESS.2022.3218646.
8.
Ja-Hwung Su*, Tzung-Pei Hong,
Yu-Tang Chen, Chu-Yu Chin, "High-performance content-based music retrieval
via automated navigation and semantic features," Engineering
Applications of Artificial Intelligence, Volume 115, 105267, ISSN
0952-1976, 2022.
9.
Tzung-Pei Hong, Chen-Chia Chiu, Ja-Hwung
Su* and Chun-Hao Chen, "Applicable Metamorphic Testing for
Erasable-Itemset Mining," IEEE Access, vol. 10, pp. 38545-38554,
2022.
10.
Yu-Cheng Tung, Ja-Hwung
Su*, Yi-Wen Liao, Ching-Di Chang, Yu-Fan Cheng, Wan-Ching Chang, and
Bo-Hong Chen, "High-Performance Scaphoid Fracture
Recognition via Effectiveness Assessment of Artificial Neural Networks," Applied Sciences,
vol. 11, no. 18: 8485, 2021.
11.
Ja-Hwung Su, Yi-Wen Liao*, Jia-Zhen Xu and Yu-Wei Zhao, “A Personality-Driven Recommender System for Cross-Domain Learning Based on Holland Code Assessments,”
Sustainability, 13(7), 3936, 2021.
12. Ja-Hwung Su, Yi-Wen Liao*, Yu-Wei Zhao, Jin-Ming Chen, and Ding-En Syu, “An Intelligent Touring Recommender System
Using Techniques of User Filtering, Air Quality Prediction and Health Care,”
Journal of Business and Economics (JBE),
vol. 12, no. 3, pp. 303-315, 2021.
13.
Ja-Hwung Su*, Chu-Yu Chin, Yi-Wen Liao, Hsiao-Chuan Yang, Vincent
S. Tseng and Sun-Yuan Hsieh, "A Personalized Music Recommender System Using User Contents, Music
Contents and Preference Ratings," Vietnam Journal of Computer Science, Vol. 7, No. 1 (2020) 1–16.
14.
Ja-Hwung Su, Yi-Wen Liao and Liang-Ni Chen, “An Intelligent Course Decision
Assistant by Mining and Filtering Learners’ Personality Patterns,”
Applied Sciences, 9(21), 4665, 2019.
15.
Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li and Vincent S. Tseng,
“Parallel big image data retrieval by conceptualised clustering and
un-conceptualised clustering,” International Journal of High Performance Computing and Networking, vol. 15, nos. 1/2, pp. 22-30, 2019.
16.
Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao and
Shyr-Yuan Cheng, “Mining and applications of repeating patterns,” Vietnam Journal of Computer Science, vol. 5, pp. 251-261, 2018.
17.
Ja-Hwung Su, Wei-Yi Chang and Vincent S. Tseng, “Effective
Social Content-Based Collaborative Filtering for Music Recommendation,” Intelligent Data Analysis, vol. 21, no. S1, pp. S195-S216, 2017.
18.
Jerry Chun-Wei Lin,
Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei
Hong, Ja-Hwung Su and Bay Vo, "A Fast Algorithm for Mining High
Average-Utility Itemsets," Applied Intelligence, Volume 47, Issue 2,
pp 331–346, September 2017.
19.
Ja-Hwung Su, Wei-Yi Chang and Vincent S. Tseng, “Integrated Mining
of Social and Collaborative Information for Music Recommendation,” Data
Science and Pattern Recognition, Volume 1, Number 1,
February 2017.
20.
Tzung-Pei Hong, Guo-Cheng
Lan, Ja-Hwung Su, Pei-Shan Wu, Shyue-Liang Wang, "Discovery
of temporal association rules with hierarchical granular framework," Applied Computing and Informatics, 12 (2016), pp.134-141.
21.
Wen-Yang Lin, Ja-Hwung Su, and
Ming-Cheng Tseng. Updating Generalized Association Rules with Evolving Fuzzy
Taxonomies. Soft Computing. Volume 16, Number 7, pp. 1109-1118, 2012.
22.
Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin and Vincent.
S. Tseng. Effective Semantic Annotation by Image-to-Concept Distribution Model.
IEEE Transactions on Multimedia (TMM), Vol. 13, no. 3, pp. 530-538, June
2011.
23.
Ja-Hwung
Su, Wei-Jyun Huang, Philip S. Yu and Vincent S.
Tseng. Efficient
Relevance Feedback for Content-based Image Retrieval by Mining User Navigation
Patterns. IEEE Transactions on
Knowledge and Data Engineering (TKDE), vol. 23, no. 3, pp.
360-372, March 2011.
24.
Ja-Hwung
Su, Hsin-Ho Yeh, Philip S. Yu and Vincent S. Tseng. Music
Recommendation Using Content and Context Information Mining. IEEE
Intelligent Systems, vol. 25, no. 1, pp.16-26, January/February 2010.
25.
Ja-Hwung
Su, Bo-Wen Wang, Chin-Yuan Hsiao and Vincent S.
Tseng. Personalized Rough-Set-based Recommendation by Integrating Multiple Contents
and Collaborative Information. Information Sciences, 180 (2010), pp.
113-131.
26.
Ja-Hwung Su, Yu-Ting Huang, Hsin-Ho Yeh and Vincent. S. Tseng. Effective Content-based Video Retrieval Using
Pattern Indexing and Matching Techniques. Expert
Systems with Applications, vol. 37, issue
7, pp. 5068-5085, July 2010.
27.
Ja-Hwung Su, Bo-Wen Wang, Tien-Yu Hsu,
Chien-Li Chou and Vincent. S.
Tseng. Multi-Modal
Image Retrieval by Integrating Web Image Annotation, Concept Matching and Fuzzy
Ranking Techniques. International Journal of Fuzzy Systems,
Vol. 12, No. 2, pp. 136-149, June 2010.
28.
Vincent. S. Tseng, Ja-Hwung Su, Jhih-Hong Huang and
Chih-Jen Chen. Integrated Mining of Visual Features, Speech Features and
Frequent Patterns for Semantic Video Annotation. IEEE Transactions on
Multimedia (TMM), vol. 10, no. 1, pp. 260-267, February 2008.
29.
Wen-Yang Lin and Ja-Hwung Su. Design and implementation of a group decision
timetabling system. Journal of Information Management-Concepts,
Systems, and Applications, Vol. 4, No. 1, pp. 83-96, 2002.
B.
Conference Papers
1.
Wei-Min Chuang, Sung-Shuo Kao, Ja-Hwung
Su*, Tzung-Pei Hong, Hsin-En Jin, "Deep Learning-based Gastric Cancer
Image Classification with Hybrid Data Augmentation," In Proc. of IEEE
International Conference on Consumer Electronics – Taiwan (ICCE-TW),
Taoyuan,
Taiwan, July 1-3, 2026.
2.
Ja-Hwung
Su*,
Yi-Wen Liao, and Yu-Ti Tsai, "A Content-Based Music Recommender System by
Integrating Music Repeating Patternsand User Preference Ratings," In Proc. of the 18th Asian Conference on
Intelligent Information and Database Systems (ACIIDS), Kaohsiung, Taiwan,
13-15 April, 2026.
3.
Ja-Hwung Su*, Liang-Yu Chen, “An Effective Music Emotion Recognition
Approach Fusing Multi-Temporal Convolution Neural Networks and Auditory
Fragment Mining Techniques,” In Proc. of 2025 IEEE International Conf. on Big Data, Macau SAR, China,
8-11 December, 2025.
4.
Tzung-Pei Hong*, Haohsuan Chien, Ja-Hwung
Su, Wei-Chou Chen, and Shu-Min Li, "Deepfake Detection Based on Multimodal
Feature Fusion," In Proc. of the 21st International Conference
on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP
2025), Taichung, Taiwan, October 15-17, 2025.
5.
Tzung-Pei Hong, Zheng-Ning Huang, Ja-Hwung
Su* and Wei-Chou Chen, "Effective Detection of Face-spoofing Attacks
based on Multimodal Learning and Ensemble Mechanism," In Proc. of IEEE
International Conference on Consumer Electronics – Taiwan (ICCE-TW),
Kaohsiung, Taiwan, July 16-18, 2025.
6.
Tzung-Pei Hong*,
Wei-Di Lin, Ja-Hwung Su, and Tang-Kai Yin, “Masked Face-Landmark
Prediction with Mask-Coefficient,” In Proc. of the 16th Asian Conference on
Intelligent Information and Database Systems, Ras Al Khaimah, UAE, 15-18 April 2024.
7.
Tzung-Pei Hong*,
Jin-Hang Wu, Ja-Hwung Su, and Tang-Kai Yin, "Effective Face
Inpainting by Conditional Generative Adversarial Network," In Proc. of
the IEEE International Conference on Big Data, Sorrento Italy, December
15-18, 2023.
8.
Tzung-Pei Hong,
Ching-Shan Hong, Ja-Hwung Su* and Chun-Hao Chen, "Data Augmentation
Using Generative Neural Networks Based on Fourier Feature Mapping," In Proc. of the International Conference on Intelligent
Systems Design and Applications (ISDA), online, December 11-13, 2023.
9.
Ja-Hwung Su, Wei-Jiang Chen, Ming-Cheng Zhang and Yi-Wen
Liao, “Artificial Intelligences on Automated Context-Brain Recognition with
Mobile Detection Devices,” In Proc. of the 15th Asian Conference on Intelligent Information and
Database Systems, Phuket Thailand,
July 24-26, 2023. (Download)
10.
Ja-Hwung Su, Yi-Wen Liao*, Ming-Hung Kao, Yung-Wen Tsai,
Chih-Jui Chang, Hsiu-Wei Wu and Cheng-Wei Chen, "Alignment of Visual
Senses and Acoustical Senses based on Emotion Recognitions," in Proc.
of 2022 Joint 12th International Conference on Soft Computing and Intelligent
Systems and 23rd International Symposium on Advanced Intelligent Systems
(SCIS&ISIS), Ise-Shima, Mie, Japan, November 29-December 2, 2022.
11.
Ja-Hwung Su, Yi-Wen Liao* and Liang-Yu Chen, " Music Emotion Recognition Based on Term
Frequency and Pattern Entropy," In Proc. of the 14th Asian Conference on
Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam, November 28-30, 2022.
12.
Ja-Hwung Su, Terry Ting-Yu Chiou, Yi-Wen Liao*, Yu-Siou
Liao, Chien-Hsin Wu and Wen-Yang Lin, "Risk Assessment of Acute Kidney
Disease and Chronic Kidney Disease for in-Hospital Patients with Acute Kidney
Injury," In Proc.
of the 14th Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam, November 28-30,
2022.
13.
Tzung-Pei Hong*, Wei-Chun Peng, Ja-Hwung Su, and Shyue-Liang
Wang, “Fuzzy Adaptive Focal Loss for Imbalanced Datasets,” in Proc. of IEEE
International Conference on Imaging systems and Techniques, New York, USA,
Aug. 24-26, 2021.
14.
Ja-Hwung Su, Tzung-Pei Hong*, Yao-Hong Hsieh and Shu-Min Li,
“Effective Music Emotion Recognition by Segment-based Progressive Learning,” in
Proc. of IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN,
AND CYBERNETICS, TORONTO, CANADA, OCT. 11-14, 2020.
15.
Ja-Hwung Su, Yi-Wen Liao*, Hong-Yi Wu and You-Wei Zhao, “Ubiquitous Music
Retrieval by Context-Brain Awareness Techniques,” in Proc. of IEEE
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, TORONTO, CANADA, OCT. 11-14, 2020. (Download)
16.
Ja-Hwung Su, Tzung-Pei Hong* and Hsuan-Hao Yeh,
"Music Classification by Automated Relevance Feedbacks," In Proc. of the 12th Asian Conference on
Intelligent Information and Database Systems, Phuket Thailand, 23-26 March, 2020.
17.
Ja-Hwung Su*, Wen-Yang Lin, Yi-Wen Liao, and Guan-Hua
Lai, "An Efficient Data Mining Algorithm by Multi-Utility Minimum Support
and Prefix-Search Strategy," in Proc. of IEEE International Conference on Systems, Man, and Cybernetics, Bari Italy, October 06-09, 2019.
18.
Ja-Hwung Su*, Chu-Yu Chin, Tzung-Pei Hong, and Jung-Jui
Su, “Content-Based Music Classification by Advanced Features and Progressive
Learning,” In Proc.
of the 11th Asian Conference on Intelligent Information and Database Systems, Yogyakarta, Indonesia, April 8-11, 2019.
19.
Tzung-Pei Hong*,
Yu-Chiao Yang, Ja-Hwung Su, and Chun-Hao Chen, “Content-Based Motorcycle
Counting for Traffic Management by Image Recognition,” In Proc. of the 11th Asian Conference on
Intelligent Information and Database Systems, Yogyakarta, Indonesia, April 8-11, 2019.
20.
Ja-Hwung Su*, Tzung-Pei Hong, Jyun-Yu Li and Jung-Jui Su,
“Personalized Content-Based Music Retrieval by User-Filtering and
Query-Refinement,” in Proc. of Conference on Technologies and Applications of Artificial
Intelligence (TAAI), Taichung, Taiwan,
Nov. 30-Dec. 2, 2018.
21.
Tzung-Pei Hong*,
Yu-Chiao Yang and Ja-Hwung Su and Shyue-Liang Wang, "Recognition
and Counting of Motorcycles by Fusing Support Vector Machine and Deep
Learning," in Proc. of International Computer Symposium, Yunlin, Taiwan, December 20-22, 2018.
22.
Tzung-Pei Hong*,
Yu-Chiao Yang, and Ja-Hwung Su, "Using Selective Search and CNN for
Counting Motorcycles in Images," in Proc. the Second International Conference on
Smart Vehicular Technology, Transportation, Communication and Applications, Mount Emei, China, October 25-28, 2018.
23.
Chun-Hao Chen*,
Cheng-Yu Lu and Ja-Hwung Su, "An Enhanced Approach for Diverse
Group Stock Portfolio Optimization Using the Grouping Genetic Algorithm,"
in Proc.
of the 2018 IEEE International Conference on Knowledge Innovation and Invention, Jeju Island, South Korea, July 23-27, 2018.
24.
Ja-Hwung Su*, Chu-Yu Chin, Hsiao-Chuan Yang, Vincent S.
Tseng, and Sun-Yuan Hsieh, “Music Recommendation Based on Information of User
Profiles, Music Genres and User Ratings,” In Proc. of the 10th Asian Conference on
Intelligent Information and Database Systems, Dong Hoi City, Vietnam, March 19-21, 2018.
25.
Ja-Hwung Su*, Chu-Yu Chin, Jyun-Yu Li and Vincent S.
Tseng, "Efficient Big Image Data Retrieval Using Clustering Index and
Parallel Computation," In Proc. of the 8th International Conference on Awareness Science and
Technology, Taichung, Taiwan,
Nov. 8-10, 2017.
26.
Chun-Hao Chen*,
Wan-Yi Shen, Tzung-Pei Hong and Ja-Hwung Su, "An Island-based
Algorithm for Group Stock Portfolio Optimization," In Proc. of Joint 17th World Congress of
International Fuzzy Systems Association and 9th International Conference on
Soft Computing and Intelligent Systems, Otsu Japan, June 27-30, 2017.
27.
Ja-Hwung Su*, Tzung-Pei Hong, and Yu-Tang Chen, “Fast Music
Retrieval with Advanced Acoustic Features,” In Proc. of IEEE International Conference on
Consumer Electronics, Taipei, Taiwan, June
12-14, 2017.
28.
Ja-Hwung Su*, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao
and Shyr-Yuan Cheng, "A High-Performance Algorithm for Mining Repeating
Patterns," In Proc. of the 9th Asian Conference on Intelligent Information and
Database Systems, Kanazawa Japan,
April 3-5, 2017.
29.
Jerry Chun-Wei Lin*,
Shifeng Ren, Philippe Fournier-Viger, Ja-Hwung Su and Bay Vo, "A More
Efficient Algorithm to Mine High Average-Utility Itemsets," In Proc. of the Twelfth International Conference on
Intelligent Information Hiding and Multimedia Signal Processing, Kaohsiung Taiwan, November 21-23, 2016.
30.
Jerry Chun-Wei Lin*,
Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Chien-Ming Chen and Ja-Hwung
Su, "Efficient Mining of Short Periodic High-Utility Itemsets,"
In Proc.
of IEEE International Conference on Systems, Man, and Cybernetics, Budapest Hungary, October 9-12, 2016.
31.
Jerry Chun-Wei Lin*,
Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su,
“Efficient Mining of High Average-Utility Itemsets with Multiple Minimum
Thresholds,” in Proc.
of Industrial Conference on Data Mining, New York, USA, July 13-17, 2016.
32.
Chun-Hao Chen*,
Cheng-Yu Lu, Tzung-Pei Hong and Ja-Hwung Su, "Using Grouping
Genetic Algorithm to Mine Diverse Group Stock Portfolios," in Proc. of IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 24-29, 2016.
33.
Jerry Chun-Wei Lin*, Ting
Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su, "Fast
Algorithms for Mining Multiple Fuzzy Frequent Itemsets," in Proc. of IEEE International Conference on Fuzzy
Systems, Vancouver, Canada,
July 24-29, 2016.
34.
Ja-Hwung Su*, Tzung-Pei Hong, Yu-Tang Chang, Hsu-Yuan
Tung ,“Un-supervised, Semi-supervised and Supervised Image Retrieval Based on
Conceptual Features,”
In
Proc. Of the Second IEEE
International Conference on Multimedia Big Data, Taipei, Taiwan, April 20-22,
2016.
35.
Ja-Hwung
Su*
and Ting-Wei Chiu,, “An Item-Based Music Recommender System Using Music Content
Similarity,” In Proc. of the 8th Asian Conference on Intelligent
Information and Database Systems, Da Nang, Vietnam, 14-16 March, 2016.
36.
Jia-Ching
Ying* and Ja-Hwung Su, “On Velocity-Preserving Trajectory
Simplification,” In Proc. of the 8th Asian Conference on Intelligent
Information and Database Systems, Da Nang, Vietnam, 14-16 March, 2016.
37.
Wen-Yang Lin and Ja-Hwung
Su. Mining Association Rules with Range Support. In Proc. of International
Workshop on Intelligent Data Analysis and Management with MoMM2014, Kaohsiung, Taiwan, 8-10 December, 2014.
38.
Ja-Hwung
Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying.
Semantic Content-Based Music Retrieval Using Audio and Fuzzy-Music-Sense
Features. In Proc. of the 2014 International Conference
on Granular Computing (GrC), Hokkaido,
Japan, October 22-24, 2014.
39.
Ja-Hwung
Su, Chung-Chieh Hsu, Josh
Jia-Ching Ying.
High-Performance Content-Based Image Retrieval Using DFS Strategy. In Proc. of the 2013 International Conference on Granular
Computing (GrC), Beijing, China, December
13-15, 2013.
40.
Ja-Hwung Su, Wei-Yi
Chang and Vincent S.
Tseng. Personalized Music Recommendation by Mining Social
Media Tags. In Proc. of the17th International Conference on Knowledge-Based
and Intelligent Information & Engineering Systems (KES),
Kitakyushu, Japan, September 9-12, 2013.
41.
Ja-Hwung Su, Yi-Cheng
Tsai, Vincent S. Tseng. Empirical Analysis of Multi-Labeling Algorithms for
Music Emotion Annotation. in Proc. of ICME 2013 Workshop on Affective
Analysis in Multimedia (AAM), San Jose, California, USA, July, 2013.
42.
Ja-Hwung Su, Shao-Yu Fu
and Vincent S. Tseng. Effective Music Retrieval by
Sequential Pattern-Based Alignment. in Proc. of Conference on
Technologies and Applications of Artificial Intelligence(TAAI), Tainan,
Taiwan, November 16-18, 2012.
43.
Ja-Hwung
Su, Chun-Yi Kuo, Vincent S. Tseng. Efficient Pattern-Based Conceptual Image Retrieval. In Proc. of the 2012 International Conference on
Granular Computing (GrC), Hangzhou China, Aug. 11-13, 2012.
44.
Bo-Wen Wang, Ja-Hwung Su, Chien-Li Chou and
Vincent S. Tseng. Semantic Video Retrieval by Integrating Concept- and
Content-Aware Mining. in Proc. of Conference on Technologies and
Applications of Artificial Intelligence(TAAI), Chung-Li, Taiwan, November
11-13, 2011.
45.
Ja-Hwung Su, Ming-Hua Hsie, Tao Mei and Vincent. S.
Tseng. PHOTOSENSE: MAKE SENSE OF YOUR PHOTOS WITH ENRICHED HARMONIC
MUSIC VIA EMOTION ASSOCIATION. In Proc. of 2011 IEEE International Conference
on Multimedia & Expo (ICME), Barcelona , Spain ,
July 11-15, 2011.(Accepted as Top 15% paper)
46.
Ja-Hwung
Su,
Cheng-Wei Wu, Shao-Yu Fu, Yu-Feng Lin, Wei-Yi Chang, I-Bin Liao, Kuo-Wei Chang and
Vincent. S. Tseng. Empirical
Analysis of Content-based Music Retrieval for Music Identification. In Proc. of International Conference on Multimedia
Technology (ICMT), Hangzhou China, July 26-28, 2011.
47.
Ja-Hwung Su, Tzu-Shiang
Hung, Chun-Jen Lee, Chung-Li Lu, Wei-Lun Chang and Vincent S. Tseng. Effective Content-based Music Retrieval with
Pattern-based Relevance Feedback. In Proc. of the15th International Conference on Knowledge-Based
and Intelligent Information & Engineering Systems (KES),
Kaiserslautern , Germany, September 12-14, 2011.
48.
Wen-Yang Lin,
Ming-Cheng Tseng and Ja-Hwung Su. Updating Generalized Association Rules
with Evolving Fuzzy Taxonomies. In Proc. of IEEE World Congress on
Computational Intelligence (WCCI), Barcelona, Spain, July 18-23, 2010 .
49.
Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin and Vincent. S. Tseng. Effective Image Semantic Annotation by Discovering visual-concept
Associations from image-concept distribution Model. In Proc. of 2010 IEEE International Conference on Multimedia & Expo (ICME), Singapore, July 19-23, 2010.(Accepted as Top 15% paper)
50.
Ja-Hwung Su, Hsin-Ho
Yeh and Vincent S. Tseng. A Novel Music Recommender by Discovering Preferable
Perceptual-Patterns from Music Pieces. in Proceedings of the 25th ACM
Symposium on Applied Computing, Sierre, Switzerland, March 22 – 26,
2010.
51.
Ja-Hwung Su, Bo-Wen
Wang, Hsin-Ho Yeh and Vincent S. Tseng. Ontology-Based Semantic Web Image
Retrieval by Utilizing Textual and Visual Annotations. in Proceedings of the
Workshop on Computational Intelligence Approach for Ontology-based Knowledge
Discovery (CIAO -WI/IAT'2009), Milano, Italy, September 15-18, 2009.
52.
Ja-Hwung
Su, Hsin-Ho
Yeh and Vincent S. Tseng. An Effective Video Retrieval System by Combining
Visual and Textual Mining Techniques. in
Proceedings of the Multimedia Data Mining workshop
at the 2009 SIAM SDM conference, Sparks, Nevada, May 2, 2009.
53.
Ja-Hwung Su, Bo-Wen
Wang and Vincent S. Tseng. Effective Ranking and Recommendation on Web Page
Retrieval by Integrating Association Mining and PageRank. in Proceedings
of the Workshop on Optimization-based Data Mining and Web Intelligence (ODM
2008) for 2008 IEEE/WIC/ACM International Conference on Web Intelligence and
Intelligent Agent Technology, Sydney, Australia, December 9-12, 2008.
54.
Ja-Hwung Su, Yu-Ting Huang and Vincent S. Tseng. Efficient Content-based Video Retrieval by Mining Temporal Patterns. in Proceedings of the Ninth International Workshop on
Multimedia Data Mining (KDD/MDM), Las Vegas, NV, USA, August 24,
2008.
55.
Vincent. S. Tseng,
Ja-Hwung Su, Hao-Hua Ku and Bo-Wen Wang. Intelligent Concept-Oriented
Search for Content-Based Image Retrieval by Using Data Mining and Image Concept
Query Decomposition Techniques. in Proceedings of 2008 IEEE International
Conference on Multimedia & Expo, Hannover, Germany, June 23-26 2008.
56.
Vincent Shin-Mu
Tseng, Ja-Hwung Su, Bo-Wen Wang and Chin-Yuan Hsiao. A Novel
Recommendation Method based on Rough Set and Integrated Feature Mining. in
Proceedings of the third International Conference on Innovative Computing,
Information and Control, Dalian, China, June 18-20, 2008.
57.
Vincent S. Tseng, Ja-Hwung
Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang and Hsin-Ho Yeh. Intelligent
Multimedia Recommender by Integrating Annotation and Association Mining. in
proceedings of the 2008 IEEE International Conference on Sensor Networks,
Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, June 11-13, 2008.
58.
Vincent. S. Tseng, Ja-Hwung Su, Jhih-Hong Huang and Chih-Jen Chen. Semantic Video Annotation by Mining Association
Patterns from Visual and Speech Features.
in Proceedings of Pacific-Asia
Conference on Knowledge Discovery and Data Mining
(PAKDD), Osaka, Japan, May 20-23, 2008.
59.
Vincent. S. Tseng, Ja-Hwung Su, and Chih-Jen Chen. Effective Video Annotation by
Mining Visual Features and Speech Features. in Proceedings of the third International Conference on Intelligent Information
Hiding and Multimedia Signal Processing, Kaohsiung, Taiwan,
November 26-28, 2007.
60.
Vincent. S. Tseng, Ja-Hwung Su, and Wei-Jyun
Huang. FCBIR: A Fuzzy Matching Technique for
Content-Based Image Retrieval System. in
Proceedings of IFSA 2007 world congress, Cancun, Mexico, June 18-21,
2007.
61.
Vincent. S. Tseng, Ja-Hwung Su, Bo-Wen Wang and Yu-Ming Lin. Web Image Annotation by Fusing Visual
Features and Textual Information. in Proceedings of the 22nd ACM Symposium on Applied Computing, Seoul, Korea, March 11 – 15,
2007.
62.
Vincent. S. Tseng, Ja-Hwung
Su and Jhih-Hong Huang. A
Novel Video Annotation Method by Integrating Visual Features and Frequent
Patterns. in Proceedings of the Seventh
International Workshop on Multimedia Data Mining (KDD/MDM), Philadelphia
, PA , USA , August 20-23, 2006.
63.
Vincent. S. Tseng, Chon-Jei
Lee and Ja-Hwung Su. Classify
By Representative Or Associations (CBROA): A Hybrid Approach for Image
Classification. in Proceedings of the Sixth
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1.
蘇家輝、洪宗貝*、謝曜鴻、李淑敏，整合音樂片段深度學習之強化型音樂情緒辨識技術，第10屆網路智能與應用研討會，雲林，台灣，2020。
2.
蘇家輝、廖奕雯、陳亮霓、李俊諭、蘇泳睿，選課系統3.0-智慧型大數據課程推薦技術，2018年第二十四屆國際資訊管理暨實務研討會，台南，臺灣，2018。
3.
蘇家輝、洪宗貝、陳雨棠，利用SVM和語意特徵協助音樂搜尋，第十六屆離島資訊技術與應用研討會，金門，台灣，2017。
4.
蘇家輝、楊曉娟、邱亭惟、陳薏雯、江姵萱，智慧大數據之英文能力檢定與學習系統，2016全球商業經營管理學術研討會，高雄，台灣，2016。
5.
蘇家輝、徐嫚謙、 李羽薇、 王欣嘉、 陳雅玟、王湘蓉，以分群索引為基礎之概念音樂擷取技術，2015年第二十一屆國際資訊管理暨實務研討會，台中，臺灣，2015。
6.
蘇家輝、王湘蓉、李莉慧、楊雅婷， 以關聯探勘技術為基礎之線上音樂推薦系統，第二十屆資訊管理暨實務研討會，桃園，臺灣，2014 年。
7.
蘇家輝、王俊諺， 以情緒為導向之音樂搜尋技術，第二十屆資訊管理暨實務研討會，桃園，臺灣，2014 年。
8.
蘇家輝、翁欲盛、曾新穆，基於內涵樣式比對之概念導向式影像擷取系統，第十七屆資訊管理暨實務研討會，台南，臺灣，2011 年。
9.
蘇家輝、張為義、彭永興、陳韋仲、曾新穆，智慧型蘭花影像病蟲害偵測技術，第十七屆資訊管理暨實務研討會，台南，臺灣，2011 年。
10.
曾新穆、楊家輝、蘇家輝，隨處服務之多媒體推薦系統設計，二○○七數位生活科技研討會，臺南，臺灣，2007。
11.
劉崇汎、林瑞堂、許智威、曾新穆、蘇家輝、陳智仁，結合視覺特徵與語音資訊之多媒體視訊影片註解方法，第十一屆人工智慧與應用研討會，高雄，臺灣，2006。
12.
劉崇汎、林瑞堂、許智威、曾新穆、蘇家輝、古鎬華，物件導向式高階影像概念擷取系統，第十七屆物件導向技術及應用研討會，桃園，臺灣，2006。
13.
曾新穆、蘇家輝，智慧型數位影像內容註解及搜尋系統之設計，第五屆數位典藏技術研討會，台北，臺灣，2006。
14.
劉崇汎、林瑞堂、許智威、曾新穆、蘇家輝、蕭欽元，智慧型個人化多媒體推薦系統之建置，第五屆數位典藏技術研討會，台北，臺灣，2006。
15.
曾新穆、蘇家輝、古鎬華、張文村，智慧型概念導向式影像內容搜尋擷取技術，第十屆人工智慧與應用研討會，高雄，臺灣，2005。
16.
蘇家輝、洪宗貝、杜敏世、李會珍，獎卿大台北居家護理所資訊管理系統之建置，第四屆企業經營管理個案研討會，臺南，臺灣，頁895~900(2001)論文集。
17.
林文揚、蘇家輝，群體決策線上排課系統之建置，第五屆資訊管理研究暨實務研討會，臺北，臺灣，頁366-373，1999。(NSC 89-2815-C-214-003-E)