Professor

Arbee L.P. Chen

Name
Arbee L.P. Chen
Email
arbee@asia.edu.tw
alpchen@cs.nthu.edu.tw
Education
  • - Ph.D. in Computer Engineering, Department of Electrical Engineering, University of Southern California, USA
  • - B.S. in Computer Science, Department of Computer Science, National Chiao-Tung University, Taiwan
Professional Experience
  • - Chair Professor, Vice President, and Dean of College of Information and Electrical Engineering, Asia University, Taiwan
  • - Professor, Department of Computer Science, National Tsing Hua University, Taiwan
Research Interest
  • Big Data Analytics, Top-k Queries, Data Mining, Data Stream Processing and Analysis, Multimedia Information Systems
Award
  • - Distinguished Research Fellow Award, National Science Council
  • - Distinguished Research Award, National Science Council
  • - Distinguished Engineering Professor Award, The Chinese Institute of Engineers
  • - Best Dissertation Supervision Award, Institute of Information & Computing Machinery
  • - Best Dissertation Supervision Award, Taiwan Institute of Electrical and Electronic Engineering
  • - Best Dissertation Supervision Award, Acer Inc.
  • - Master Thesis Supervision Award, Institute of Information & Computing Machinery
  • - Master Thesis Supervision Award, The Chinese Institute of Electrical Engineering
Program Committe (since 2010)
  • - 2018 International Conference on Very Large Databases (Brazil)
  • - 2018 IEEE International Conference on Data Mining (Singapore)
  • - 2017 IEEE International Conference on Data Mining (USA)
  • - 2016 International Conference on Very Large Databases (India)
  • - 2016 IEEE International Conference on Data Mining (Spain)
  • - 2016 IEEE International Congress on Big Data (USA)
  • - 2015 IEEE International Conference on Data Mining (USA)
  • - 2015 Pacific-Asia Conference on Knowledge Discovery and Data Mining (Vietnam, Senior Program Committee Member)
  • - 2014 IEEE International Conference on Data Mining (PRC)
  • - 2013 Pacific-Asia Conference on Knowledge Discovery and Data Mining (Australia, Senior Program Committee Member)
  • - 2012 IEEE International Conference on Data Mining (Belgium)
  • - 2012 Pacific-Asia Conference on Knowledge Discovery and Data Mining (Malaysia)
  • - 2011 IEEE International Conference on Data Mining (Canada)
  • - 2010 International Conference on Very Large Databases (Singapore)
  • - 2010 IEEE International Conference on Data Mining (Australia)
  • - 2010 Pacific-Asia Conference on Knowledge Discovery and Data Mining (India)
Publication List (since 2010)
Journal Paper
  1. Syauki Aulia Thamrin, Arbee LP Chen, "Distinguishing Depression and Bipolar Disorder from Social Media Data Utilizing Intensity of Emotions and Interpretable Deep Learning Models," IEEE Transactions on Affective Computing
  2. Yunrui Li, Jasin Wong, Eva E Chen, Syauki Aulia Thamrin, Arbee LP Chen, "Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models," International Conference on Big Data Analytics and Knowledge Discovery
  3. Yi-Feng Lin, Arbee LP Chen, "Predicting the following support strategy during the emotional support dialogue by integrating the dialogue history and supporter features," Multimedia Tools and Applications
  4. Syauki A Thamrin, Arbee LP Chen, "Analyzing Education-Related Posts in Detecting Depression on Social Media Using Topic Modeling Method and Large Language Model," 13th International Conference on Information and Education Technology (ICIET)
  5. Ruihan Sun, Jasin Wong, Eva E Chen, Arbee LP Chen, "Using computational models to detect autistic tendencies for children from their story book narratives," Multimedia Tools and Applications
  6. Syauki Aulia Thamrin, Eva E Chen, Arbee LP Chen, "Detecting bipolar disorder on social media by post grouping and interpretable deep learning," Journal of Intelligent Information Systems
  7. Po Sheng Chen, Jasin Wong, Eva E Chen, Arbee LP Chen, "Detecting autism in children through drawing characteristics using the visual-motor integration test," Health Information Science and Systems
  8. Syauki A Thamrin, Arbee LP Chen, "Detection of bipolar disorder on social media data utilizing biomedical, clinical and mental health domain fine-tuned word embeddings," 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)
  9. Liang Kuang Tai, Arbee LP Chen, "Strategies to Selecting Most Profitable Products by Price Settings," International Journal of Information Technology & Decision Making
  10. Yun Sheng Tsai, Arbee LP Chen, "Suicide risk assessment using word-level model with dictionary-based risky posts selection," Multimedia Tools and Applications
  11. Xunsheng Cai, Syauki Aulia Thamrin, Arbee LP Chen, "Graph encoding-enhanced transformer for drug recommendation," 2023 IEEE International Conference on Big Data (BigData)
  12. K. Lu, S.A. Thamrin, A.L.P. Chen, “Depression Detection via Conversation Turn Classification,” Multimedia Tools and Applications
  13. D. Wu, A.L.P. Chen, “Classical Chinese Poetry Generation from Vernacular Chinese: A Word-Enhanced Supervised Approach,” Multimedia Tools and Applications
  14. J.C. Cheng, A.L.P. Chen, “Multimodal Time-Aware Attention Networks for Depression Detection,” Journal of Intelligent Information Systems
  15. L.K. Tai, E.T. Wang, A.L.P. Chen, “Strategies to Selecting Most Profitable Products by Price Settings,” International Journal of Information Technology & Decision Making
  16. S. Cao, S.A. Thamrin, A.L.P. Chen, “Improving the Quality of Public Transportation by Dynamically Adjusting the Bus Departure Time,” SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
  17. T.W. Chang, Y.C. Fan, A.L.P. Chen, “Emotion-Cause Pair Extraction Based on Machine Reading Comprehension Model,” Multimedia Tools and Applications
  18. C.Y. Chiu, H.Y. Lane, J.L. Koh, A.L.P. Chen, 2021, “Multimodal Depression Detection on Instagram Considering Time Interval of Posts,” Journal of Intelligent Information Systems, Vol. 56, pp. 25-47
  19. C.W. Tsai, P.H. Wu, A. Yu, J.L. Koh, C.C. Kuo, A.L.P. Chen, “Keyword Extraction and Structuralization of Medical Reports,” Health Information Science and Systems
  20. H. Wijayanto, W. Wang, W.S. Ku, A.L.P. Chen, “LShape Partitioning: Parallel Skyline Query Processing using MapReduce,” IEEE Transactions on Knowledge and Data Engineering (accepted)
  21. C.Y. Lin, Y.H. Wu, A.L.P. Chen, 2021, “Selecting the Most Helpful Answers in Online Health Question Answering Communities,” Journal of Intelligent Information Systems, Vol. 57, pp. 271–293
  22. L.K. Tai, E.T. Wang, A.L.P. Chen, 2021, “Finding the Most Profitable Candidate Product by Dynamic Skyline and Parallel Processing,” Distributed and Parallel Databases, Vol. 39, pp. 979–1008
  23. Y.S. Chen, C.Y. Chou, A.L.P. Chen, 2020, “Early Prediction of Acquiring Acute Kidney Injury for Older Inpatients Using Most Effective Laboratory Test Results,” BMC Medical Informatics and Decision Making
  24. P.H. Wu, A. Yu, C.W. Tsai, J.L. Koh, C.C. Kuo, A.L.P. Chen, 2020, “Keyword Extraction and Structuralization of Medical Reports,” Health Information Science and Systems 8, 18
  25. L.K. Tai, W. Setyonugroho, A.L.P. Chen, 2020, “Finding Discriminatory Features from Electronic Health Records for Depression Prediction,” Journal of Intelligent Information Systems, Vol. 55, pp. 371–396
  26. M.Y. Wu, C.Y. Shen, E.T. Wang, A.L.P. Chen, 2020, “A Deep Architecture for Depression Detection using Posting, Behavior, and Living Environment Data,” Journal of Intelligent Information Systems, Vol. 54, No. 2, pp. 225–244
  27. Y.S. Chen, C.Y. Chou, A.L.P. Chen, “Early Prediction of Acquiring Acute Kidney Injury for Older Inpatients Using Most Effective Laboratory Test Results,” BMC Medical Informatics and Decision Making
  28. P.H. Wu, A. Yu, C.W. Tsai, J.L. Koh, C.C. Kuo, A.L.P. Chen, “Keyword Extraction and Structuralization of Medical Reports,” Health Information Science and Systems
  29. Y.C. Fan, C.W. Chang, W.C. Lee, K.C. Wu, A.L.P. Chen, 2018, “On the Semantic Annotation of Wi-Fi SSID Logs in Mobile Applications,” Pervasive and Mobile Computing, Vol. 43, pp. 131-145
  30. J.L. Koh, C.C. Chen, C.Y. Chan, A.L.P. Chen, 2017, “MapReduce Skyline Query Processing with Partitioning and Distributed Dominance Tests,” Information Sciences, Vol. 375, pp. 114–137
  31. I.C. Lee, E.E. Chen, C.H. Tsai, N.S. Yen, A.L.P. Chen, W.C. Lin, 2016, “Voting Intention and Choices: Are Voters Always Rational and Deliberative?” PLOS ONE
  32. Y.C. Fan, Y.C. Chen, K.C. Tung, K.C. Wu, A.L.P. Chen, 2016, “A Framework for Enabling User Preference Profiling through Wi-Fi Logs,” IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 3, pp. 592-603
  33. J.L. Koh, C.Y. Lin, A.L.P. Chen, 2014, “Finding k Most Favorite Products based on Reverse Top-t Queries,” The VLDB Journal, 23(4): 541-564
  34. C.L. Li, E.T. Wang, G.J. Huang, A.L.P. Chen, 2014, “Top-n Query Processing in Spatial Databases Considering Bi-chromatic Reverse k-Nearest Neighbors,” Information Systems Journal, Vol. 42, pp. 123–138
  35. M.F. Tsai, C.W. Tzeng, A.L.P. Chen, 2014, “Discovering Leaders from Social Networks by Action Cascades,” Social Network Analysis and Mining, Vol. 4, No. 1
  36. C.Y. Lin, J.L. Koh, A.L.P. Chen, 2013, “Determining k-Most Demanding Products with Maximum Expected Number of Total Customers,” IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 8, pp. 1732-1747
  37. Y.C. Fan and A.L.P. Chen, 2012, “Energy Efficient Schemes for Accuracy-Guaranteed Sensor Data Aggregation using Scalable Counting,” IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 8, pp. 1463-1477
  38. C.W. Cho, Y.H. Wu, S.J. Yen, Y. Cheng, A.L.P. Chen, 2011, “On-Line Rule Matching for Event Prediction,” The VLDB Journal, 20(3): 303-334
  39. E.T. Wang and A.L.P. Chen, 2011, “Mining Frequent Itemsets over Distributed Data Streams by Continuously Maintaining a Global Synopsis," Data Mining and Knowledge Discovery, Vol. 23, No. 2, pp. 252-299
  40. N.S. Yen, J.L. Tsai, P.L. Chen, H.Y. Lin, A.L.P. Chen, 2011, “Effects of Typographic Variables on Eye Movement Measures in Reading Chinese from the Screen,” Behaviour & Information Technology, 30(6), 797-808
  41. Y.C. Fan and A.L.P. Chen, November 2010, “Efficient and Robust Schemes for Sensor Data Aggregation based on Linear Counting,” IEEE Transactions on Parallel and Distributed Systems, Vol. 21, No. 11, pp. 1675-1691
  42. N.H. Liu, Y.H. Wu and A.L.P. Chen, July 2010, “Identifying Prototypical Melodies by Extracting Approximate Repeating Patterns from Music Works,” Journal of Information Science and Engineering, Vol. 26, No. 4, pp.1181-1198
Edited Book
  1. Advances in Knowledge Discovery and Data Mining, V.S. Tseng, T.B. Ho, Z.H. Zhou, A.L.P. Chen, H.Y. Kao (Eds.), Springer, 2014
  2. Trends and Applications in Knowledge Discovery and Data Mining, W.-C. Peng, H. Wang, J. Bailey, V.S. Tseng, T.B. Ho, Z.H. Zhou, A.L.P. Chen (Eds.), Springer, 2014
  3. Proceedings of the International Conference on Granular Computing, T.Y. Lin, X. Hu, Z. Wu, A.L.P. Chen, A.Z. Broder, H. Ho, S. Wang (Eds.), IEEE, 2012
Conference Paper
  1. S. Cao and A.L.P. Chen, “A Data Science Approach to Dynamically Optimizing Bus Departure Time,” ACM/SIGAPP Symposium on Applied Computing (accepted)
  2. H. Wijayanto, S.A. Thamrin, A.L.P. Chen, “Upgrading Products based on Existing Dominant Competitors,” Hawaii International Conference on System Sciences 54 (HICSS-54)
  3. S.A. Thamrin, H. Wijayanto, A.L.P. Chen, “Finding Minimal Costs for Upgrading Products to be in Top-k,” International Conference on Information and Education Technology (accepted)
  4. Y.C. Huang, C.F. Chiang, A.L.P. Chen, 2019, “Predicting Depression Tendency based on Image, Text and Behavior Data from Instagram,” Proc. International Conference on Data Science, Technologies and Applications
  5. P.H. Wu, J.L. Koh, A.L.P. Chen, 2019, “Event Detection for Exploring Emotional Upheavals of Depressive People,” Proc. ACM/SIGAPP Symposium on Applied Computing (Best Paper Award)
  6. H. Yang, C.F. Chiang, A.L.P. Chen, 2019, “Discovering High Demanding Bus Routes Using Farecard Data,” Proc. IEEE International Conference on Big Data / International Workshop on Big Data for Intelligent Transportation Systems
  7. W.H. Lee, E.T. Wang, A.L.P. Chen, 2017, “Mining Accompanying Relationships between Diseases from Patient Records,” Proc. IEEE International Conference on Big Data / International Workshop on Big Data Analytic Technology for Bioinformatics and Health Informatics
  8. C.C. Lu and A.L.P. Chen, 2017, “Finding the Shortest Path with User Requirements,” Proc. International Conference on Data Mining, Communications and Information Technology
  9. W.Y. Chang, E.T. Wang, A.L.P. Chen, 2017, “A Data-driven Framework on Mining Relationships between Air Quality and Cancer Diseases,” Proc. International Conference on Data Science, Technology and Applications
  10. Y.C. Fan, Y.C. Chen, K.C. Tung, K.C. Wu, A.L.P. Chen, 2016, “A Framework for Enabling User Preference Profiling through Wi-Fi Logs,” Proc. IEEE International Conference on Data Engineering (invited poster paper)
  11. Y.C. Chen, E.T. Wang, A.L.P. Chen, 2016, “Mining User Trajectories from Smartphone Data Considering Data Uncertainty,” Proc. International Conference on Big Data Analytics and Knowledge Discovery
  12. Y.H. Chou, E.T. Wang, A.L.P. Chen, 2015, “Finding Maximal Quasi-Cliques Containing a Target Vertex in a Graph,” Proc. International Conference on Data Management Technologies and Applications
  13. R.S. Jheng, E.T. Wang, A.L.P. Chen, 2015, “Determining Top-K Candidates by Reverse Constrained Skyline Queries,” Proc. International Conference on Data Management Technologies and Applications
  14. W.H. Tai, E.T. Wang, A.L.P. Chen, 2014, “On Continuous Spatial Skyline Queries over a Line Segment,” Proc. International Conference on Database and Expert Systems Applications
  15. Y.W. Lin, E.T. Wang, C.F. Chiang, A.L.P. Chen, 2014, “Finding Targets with the Nearest Favor Neighbor and Farthest Disfavor Neighbor by a Skyline Query,” Proc. ACM Symposium on Applied Computing
  16. C.W. Chang, Y.C. Fan, A.L.P. Chen, 2014, “On the Semantic Annotation of Daily Places: A Machine-Learning Approach,” Proc. International Workshop on Location and the Web at ACM International Conference on Information and Knowledge Management
  17. C.J. Lin Wang, E.T. Wang, A.L.P. Chen, 2013, “Anonymization for Multiple Released Social Network Graphs,” Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining
  18. K.H. Juang, E.T Wang, C.F. Chiang, A.L.P. Chen, 2013, “Verification of k-Coverage on Query Line Segments,” Proc. International Database Engineering & Applications Symposium
  19. Y.C. Fan, X. Liu, W.C. Lee, A.L.P. Chen, 2012, “Efficient Time Series Disaggregation for Non-intrusive Appliance Load Monitoring,” Proc. IEEE International Conference on Ubiquitous Intelligence and Computing
  20. D.J. Li, E.T. Wang, Y.C. Tsai, A.L.P. Chen, 2012, ''On Continuous Top-k Similarity Joins,'' Proc. International Conference on Data Technologies and Applications
  21. W.C. Wang, E.T. Wang, A.L.P. Chen, 2011, “Dynamic Skylines Considering Range Queries,” Proc. International Conference on Database Systems for Advanced Applications
  22. C.Y. Lin, J.L. Koh, A.L.P. Chen, 2010, “A Better Strategy of Discovering Link-Pattern based Communities by Classical Clustering Methods,” Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining
  23. Y.C. Su, E.T. Wang, A.L.P. Chen, 2010, “Continuous Probabilistic Skyline Queries over Uncertain Data Streams,” Proc. International Conference on Database and Expert Systems Applications