Publication

  1. Jhih-Ching Yeh, and Von-Wun Soo, Toward Socially Friendly Autonomous Driving Using Multi-agent Deep Reinforcement Learning, International Conference on Autonomous Agents and Multiagent Systems, AAMAS May 2024, New Zealand.
  2. Ping-Kan Liao and Von-Wun Soo, Using Random Walk Models and Ensemble Convolutional Neural Networks to Infer Traditional Chinese Medicine Prescriptions from Indications, TAAI Dec. 2023.
  3. Ping-Chen, Chan, Po-Wei Chen and Von-Wun Soo, Improve Singing Quality Prediction Using Self-supervised Transfer Learning and Human Perception Feedback, ACM MM Asia, Dec. 2023, Tainan.
  4. Po-Wei Chen and Von-Wun Soo, A FEW SHOT LEARNING OF SINGING TECHNIQUE CONVERSION BASED ON CYCLE CONSISTENCY GENERATIVE ADVERSARIAL NETWORKS, International Conference on Acoustics, Speech and Signals, ICASSP 2023, Rhodes Island, Greece.
  5. Guan-Yuan Chen, Ya-Fen Yeh and Von-Wun Soo, RAT: RADIAL ATTENTION TRANSFORMER FOR SINGING TECHNIQUE RECOGNITION, International Conference on Acoustics, Speech and Signals, ICASSP 2023, Rhodes Island, Greece.
  6. Kevin Cua and Von-Wun Soo, Music Accompaniment Generation with Instrumental Solos for Pop Music, ICMC2022.
  7. Pablo Lopez Dieguez and Von-Wun Soo, VAE+NN: Interpolation Composition by Direct Estimation of Encoded Vectors Against Linear Sampling of Latent Space, Journal of Information Science and Engineering, Vol. 38 No. 3, May 2022. (Best paper award)
  8. Wan-Yu Yu, Xiao-Qiang Huang, Hung-Yi Luo, Von-Wun Soo, and Yung-Lung Lee, Auction-based Consensus of Autonomous Vehicles for Multi-target Dynamic Task Allocation and Path Planning in an Unknown Obstacle Environment, Applied Science, 2021.
  9. Pablo Lopez Dieguez and Von-Wun Soo, Variational Autoencoders for Polyphonic Music Interpolation, TAAI 2020.
  10. Li-wei Chang and Von-Wun Soo, Audio Super resolution using zero-Shot neural networks, WOCMAT 2019.
  11. Chi-Sheng Wu, Shiang Lee and Von-Wun Soo, OveNet: A Hyper-Range U-Net for Singing Voice Separation, IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, 2019.
  12. Von-Wun Soo, Andy Lin, Bao-Yu Hu, Yi-Ching Peng, Jacob Li, Hsueh-Min Lin and Shan-Yian Yang, Automatic Advice Generation for Contracts Based on Case-based Comparison, Thirteenth International Workshop on Juris-informatics (JURISIN), 2019.
  13. Guan-Fu Peng, Yi-Shian Yang, Chen-Yu Tsai and Von-Wun Soo, Generate Modern Chinese Poems from News Based on Text Style Transfer Using GAN, TAAI, Kaohsiung, 2019.
  14. Matteo Soo, Ya-Chi Yang and Von-Wun Soo, Automatic Conversion of a Chinese Fairy Story into a Script – A Preliminary Report, Kaohsiung, TAAI 2019.
  15. Guan-Yuan Chen and Von-Wun Soo, Deep Domain Adaptation for Low-Resource Cross-Lingual Text Classification Tasks, Hanoi, Vietnam, PACLING 2019.
  16. Yu-chen Kuo and Von-Wun Soo, Predictions on Indications of Traditional Chinese Medicine based on a Random Walk Model, CSCE-BIOCOMP, Las Vegas, 2019.
  17. Ming-HsinTsai, Yen-Yi Liu, Von-Wun Soo, Chih-Chieh Chen, A New Genome-to-Genome Comparison Approach for Large-Scale Revisiting of Current Microbial Taxanomy, Microorganisms, Vol. 7, no. 161, 2019.
  18. Von-Wun Soo, Chih-Fang Huang, AI Lyrics for Music, ACMP 2018.
  19. Von-Wun Soo, Chih-Fang Huang, Yu-Huei Hsu, and Mei_Ju Su, AI Applications on Music Technology for Edutainment, ICITL 2018.
  20. Peng-Yu Chen and Von-Wun Soo, Humor Recognition Using Deep Learning, NAACL 2018. (one of the top NLP internaitonal conferences)
  21. Von-Wun Soo, How Can Computer Tell Stories? IC-LYCS 2018 (Keynote talk)
  22. Che-Yu Lee and Von-Wun Soo, Predict Stock Price with Financial News Based on Recurrent Convolutional Neural Networks, TAAI 2017.
  23. Yu-Huei Su, Von-Wun Soo, Chih-Fang Huang,Mei-Chih Chen, Hsi-Chang Li, Heng-Shuen Chen, Implementation of Interactive Ecological Sound Devices in a Long Term Care Facility, EMS2017
  24. Chi-Sheng Wu, Lei Pan, and Von-Wun Soo, Secondary Learning and Kernel Initialization on Auto-tagging of Music Events Using Convolutional Neural Networks ”, ICICE2017.
  25. Ming-Hsin Tsai, Yen-Yi Liu and Von-Wun Soo, PathoBacTyper: A web server for pathogenic bacteria identification and molecular genotyping”, Frontiers in Microbiology-Infectious Diseases,2017.
  26. Von-Wun Soo, Chi-Mou Lee, Tai-Hsun Chen, Generate Believable Causal Plots with User Preferences Using Constrained Monte Carlo Tree Search,AIIDE 2016.
  27. Von-Wun Soo, Tai-Hsun Chen, Chi-Mou Lee, Generate Causal Story Plots by Monte Carlo Tree Search Based on Common Sense Ontology, In proceeding of SCIS&ISIS, Sapporo, Japan, 2016.
  28. Tzu-Chun Chen and Von-Wun Soo, Feature Selection in Learning Common Sense Associations Using Matrix Factorization , International Journal of Fuzzy Systems, 2016.
  29. Wan-Yu Yu, Von-Wun Soo, Men-Shen Tsai, Power distribution system service restoration bases on a committee-based intelligent agent architecture. ,Eng. Appl. of AI, 2015.
  30. Enkhbold Bataa and Von-Wun Soo, A Genetic Algorithm Approach To Story Generation, Journal of International Cooperation (JIC), 2015.
  31.  Ontoniel J. Campos and Von-Wun Soo. Haiku generation using differential evolution genetic algorithms with an emphasis on surprise , Journal of International Cooperation (JIC), 2015.
  32.  Wan-Yu Yu, Von-Wun Soo, and Meng-Sheng Tsai,  Power Distribution System Service Restoration Bases on A Committee-Based Intelligent Agent Architecture , Engineering Applications of Artificial Intelligence, Volume 41, May 2015, Pages 92–102. (2014 impact factor 1.962.
  33. Dagoberto Josue Vaquedano Garrido and Von-Wun Soo, A genetic algorithm based on maximum Likelihood and Normalized mutual information to infer haplotypes from genotyoe. , Journal of International Cooperation (JIC), Vol.9, September, 2014.
  34.  Yu-Fen Huang, Hsiang-Yuan Yeh and Von-Wun Soo, Network-based Inferring Drug-Disease Associations from Chemical, Genomic and Phenotype Data , BMC Medical Genomics 2013 . (SCI) (impact factor 3.77)
  35. Hsiang-Yuan Yeh, Wei-Chih Lin, Yu-Fen Huang, andVon-Wun Soo,  A brief survey on computational and systems biology approaches to reveal drug and disease associations , Current Drug Discovery Technologies,Vol. 10, No. 2, pp114-124, 2013.
  36. Liang-Chun Chen, Hsiang-Yuan Yeh, Cheng-Yu Yeh, Carlos Roberto Arias and Von-Wun Soo，Identifying co-targets to fight drug resistance based on a random walk model ,BMC Systems Biology, 2012. (Impact factor 3.57)
  37. Carlos Roberto Arias, Hsiang-Yuan Yeh and Von-Wun Soo， Biomarker identification for prostate cancer and lymph node metastasis from microarray data and protein interaction network using gene prioritization method , The Scientific World Journal, 2012 (impact factor 1.524.)
  38. Shih-Heng Yeh, Hsiang-Yuan Yeh and Von-Wun Soo, A network flow approach to predict drug targets from microarray data, disease genes and interactome network – case study on prostate cancer . Journal of Clinical Bioinformatics, 2:1, 2012.
  39. Shih-Yao Yang and Von-Wun Soo, Extract Conceptual Graphs from Plain Texts in Patent Claims , International Scientific Journal Engineering Applications of Artificial Intelligence, 2012.  (Impact factor 1.444).
  40. Hsiang-Yuan Yeh, Cheng-Yu Yeh, Carlos Roberto Arias, andVon-Wun Soo, Pathway detection from protein interaction networks corresponding to gene expression data using color-coding methods and a* search algorithms.  The Scientific World Journal, vol. 2012, 14 pages, 2012. (Impact factor 1.524)
  41. Shih-Fang Lin, Ke-Ting Xiao, Yu-Ting Huang, Chung-Cheng Chiu and Von-Wun Soo, Analysis of adverse drug reactions using drug and drug target interactions and graph-based methods , Artificial Intelligence in Medicine, Vol 48. No. 2-3, pp. 161-166, 2010.
  42. Chung-Cheng Chiu and Von-Wun Soo, Automatic Complexity Reduction in Reinforcement Learning , Computational Intelligence, Vol. 26. No. 1, pp. 1-25, 2010.
  43. Hsiang-Yuan Yeh, Shih-Wu Cheng, Yu-Chun Lin, Shih-Fang Lin and Von-Wun Soo, Identifying Significant Genetic Regulatory Networks in the Prostate Cancer from Microarray Data Based on Transcription Factor Analysis and Conditional Independency , BMC Medical Genomics 2009, 2:70. (SCI) (impact factor 3.77)
  44. Shih-Fang Lin, Ke-Ting Xiao, Yu-Ting Huang, Von-Wun Soo, A Tool for Finding Possible Explanations for Adverse Drug Reactions through Drug and Drug Target Interactions , Artificial Intelligence in Medicine. 2009. (SCI)
  45. Paul Hsueh-Min Chang and Von-Wun Soo, Planning-Based Narrative Generation in Simulated Game Universes , IEEE Transactions on Computational Intelligence and AI in Games, Vol. 1. No. 3, pp. 200-213, 2009.
  46. Cheng-Yen Chen and Von-Wun Soo,  The Step Similarity Comparisons on Method Patents, Journal of Internet Technology, 2008.
  47. Chen-Yu Lee and Von-Wun Soo, Erratum to “The conflict detection and resolution in knowledge merging for image annotation , Information Processing and Management, Vol. 44, No. 1, pp. 430, 2008.
  48.  Shian-Luen Cheng , Shih-Yao Yang , Von-Wun Soo,   Patent Terminology Classification Using Relaxation Labeling , Journal of Internet Technology, Vol. 8. No. 4, 2007.
  49. Hsiang-Yuan Yeh, Shih-Wu Cheng, Paul Hsueh-Min Chang, Wei-Shen Lai, Von-Wun Soo,Automatic Web Service Selection Using Ontology and QoS , International Journal of Electronic Business Management, 2007. (96-2628-E-007-044-MY3)
  50. Von-Wun Soo, Szu-Yin Lin, Shih-Yao Yang, Shih-Neng Lin and Shian-Luen Cheng, A cooperative multi-agent platform for invention based on patent document analysis and ontology , Expert Systems with Applications, Vol. 31. No. 4, pp. 766-775, 2006.
  51. Chen-Yu Lee and Von-Wun Soo, The Conflict Detection and Resolution in Knowledge Merging for Image Annotation , Information Processing & Management, Vol. 42. No. 4, pp. 1031-1045, 2006. (SSCI)
  52. Shih-Yao Yang, Szu-Yin Lin, Shih-Neng Lin, Shian-Luen Cheng, and Von-Wun Soo. An Ontology-based Multi-Agent Platform For Patent Knowledge Management ,International Journal of Electronic Business Management, Vol. 3, No.3, pp.181-192, 2005.
  53. Chen-Yu Lee and Von-Wun Soo, Guiding Annotation for Retrieval of Archived Historical Images Based on Domain Common Sense and Ontology , International Journal of Human-Computer Studies. (under revision ) (SSCI,SCI)
  54. Von-Wun Soo, Szu-Yin Lin, Shih-Yao Yang, Shih-Neng Lin, and Shian-Luen Cheng, A Cooperative Multi-Agent Platform for Patent Document Analysis and Invention based on Ontology , Expert Systems with Applications, (Accepted) (SCI)
  55. Shih-Yao Yang, Szu-Yin Lin, Shih-Neng Lin, Shian-Leuen Cheng and Von-Wun Soo, An Ontology-based Multi-Agent Platform for Patent Knowledge Management , International Journal of Electronic Business Management, Vol. 3. No. 3, pp. 181-192, 2005.
  56. Jen-Hiang Chen, Kuo-Ming Chao, Nick Godwin, and Von-Wun Soo, Combining Cooperative and Non-Cooperative Automated Negotiations, Information System Frontiers , Kluwer Academic Publishers, Vol. 7, No. 4/5. pp. 391-404, Dec. 2005. (SCI)
  57. 蘇豐文: 智慧型代理人—前瞻性資訊技術 , 科學發展, 381期, 九月, 2004.
  58. Von-Wun Soo, Chun-Yu Lee, Chao-Ming Lin, Answering Simple Historical Questions by Ontology and Semantic Annotated Documents , (Invited) Archives Quarterly, Vol. 2, No. 2, 2003. (MOE Program for Promoting Academic Excellence of Universities under the grant number 89-E-FA04-1-4.)
  59. Shin-Hung Wu, Pey-Ching Yang, and Von-Wun Soo, An Assessment on Character-based Chinese News Filtering Using Latent Semantic Indexing , Journal of Computational Linguistics and Chinese Language Processing, Vol. 3, No. 2, 1998.
  60. Koong H. –C. Lin, Von-Wun Soo, and Sandiway Fong, Dealing with Nominalizations in Mandarin Chinese Using a Principles and Parameters Parser , Computer Processing of Oriental Language, 1998.
  61. Koong-Kaing Lin, Rey-long Liu and Von-Wun Soo, Interactive Acquisition of Thematic Information of Verbs Based on a Corpus of Mandarin Chinese Legal Document , Computer Processing of Oriental Language, 1997.
  62. Tng-Bo Chen, Koong-Kiang Lin and Von-Wun Soo, Training Recurrent Neural Networks to Learn Lexical Encoding and Thematic Role Assignment in Parsing Mandarin Chinese Sentences , Neurocomputing, Elsevier Science, 1997. (NSC-84-2213-E-007-048) (EI, SCI)
  63. Koong-Kiang Lin, Tung-Bo Chen and Von-Wun Soo, Neural Network Learning and Encoding of Thematic Role Assignment in Parsing Simple Chinese Sentences ,Journal of Information Science and Engineering, 11, 109-126,1995.
  64. Kong-Kiang Lin and Von-Wun Soo, Hypothesis Scoring over Theta-grid Information in Parsing Chinese Sentences with Serial Verb Constructions ,Computer Processing of Chinese and Oriental Languages, June, 1995.
  65. Hown-Wen Chen and Von-Wun Soo , Plasticity of Feed-forward Neural Networks in Assimilating Training Instance Based on Non-Batch Learning , Neurocomputing, 7, 299-309,1995. (NSC-84-2213-E-007-021) (EI, SCI)
  66. Von-Wun Soo, Jan-Sin Wang and Shih-Pu Wang , Discovery and Learning From a Clinical database — An Incremental Concept Formation Approach , Artificial Intelligence in Medicine, 1994. (EI)
  67. Rey-long Liu and Von-Wun Soo , A New Algorithm for Deterministic Parsing and its Application to Grammar and Style Checking , Journal of Information Science and Engineering, Vol. 10. No. 3, Sept., 1994. (EI)
  68. Wei-Chang Lin and Von-Wun Soo , Evidential Relaxation Labeling Scheme to Perform Non-monotonic and Uncertain Reasoning , Journal of Information Science and Engineering, Vol. 10, No. 2, June, 1994. (EI)
  69. Rey-Long Liu and Von-Wun Soo , Explanation-based Natural Language Acquisition Using Universal Linguistic Principles as Innate Domain Theory ,Applied Artificial Intelligence, An International Journal, Vol. 8, issue 4, 1994. (SCI,EI)
  70. Von-Wun Soo, Jan-Fu Hwang, Tung-Bo Chen, and Chin Yu, Divide and Conquer, Pattern Matching and Relaxation Methods in Interpretation of 2D NMR Spectra of Polypeptides , Journal of Computational Chemistry, Vol. 14, No. 10, 1164-1171, 1993. (SCI)
  71. Von-Wun Soo, and Karen Huang , On Evidential Relaxation Labeling — A Scheme Toward Knowledge-based Vision , Journal of Information Science and Engineering, 9,153-175, 1993.
  72. Von-Wun Soo, S. Perng, S. Wu, and K. Lin , Building Expert System Environment and Using Neural Network Techniques to Learn the Parameter Values for Metal Soldering Conditions , Bimonthly Journal of Metal Industry (in Chinese), Vol. 27, No.3, 104-110, 1993.
  73. Rey-long Liu and Von-Wun Soo , Parsing Driven Generalization for Natural Language Acquisition International Journal of Pattern Recognition and Artificial Intelligence, vol. 7. No. 3, 621-644, 1993.
  74. Von-Wun Soo and Tse-Ching Wang , Integration of Qualitative and Quantitative Reasoning in Iterative Parametric Mechanical Design , Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 6, No. 2, 1992.
  75. Chin Yu, Jan-Fu Hwang, Tung-Bo Chen and Von-Wun Soo. RUBIDIUM–A Program for Computer-aided Assignment of 2D NMR Spectra of Polypeptides ,Journal of Chemical Information and Computer Science, 183-187,1992.
  76. Jih, and Von-Wun Soo, An Incremental Algorithm for Learning from Examples ,Journal of Computers, (in Chinese) Vol. 2. No. 1, pp. 13-29, Spring, 1990.
  77. Rey-long. Liu, and Von-Wun Soo, Dealing with Ambiguities in English Conjunction and Comparatives using a Deterministic Parser , International Journal of Pattern Recognition and Artificial Intelligence, Vol. 4, no. 4, pp. 629-649, Dec, 1990.
  78. L. Garfinkel, D. Cohen, and Von-Wun Soo, D. Garfinkel, and C. Kulikowski , An Artificial Intelligence Techniques for Qualitatively Derived Enzyme Kinetic Mechanisms from Initial Velocity Measurement and its Applications to Hexokinase , Biochemical Journal, pp. 264, 175-184, 1989.
  79. Von-Wun Soo, C. Kulikowski, D. Garfinkel, and L. Garfinkel , Theory Formation in Postulating Enzyme Kinetic Mechanisms: Reasoning with Constraints , Computer and Biomedical Research, 21, pp. 381-403, 1988