International conference and workshop paper (peer reviewed)

  1. Le Hung, Le-Minh Nguyen, Jiaying Ni, Shogo Okada Constructing a Closed-Domain Question Answering System With Generative Language Models IEEE International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2023).
  2. Wenqing Wei, Zhengdong Yang, Gao Yuan, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li FedCPC: an Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimerfs Speech Detection IEEE Workshop on Automatic Speech Recognition and Understanding 2023 (ASRU2023)
  3. Candy Olivia Mawalim, Benita Angela Titalim, Shogo Okada, Masashi Unoki, Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids, 31st European Signal Processing Conference, EUSIPCO 2023
  4. Xiguang Li, Candy Olivia Mawalim, Shogo Okada, Inter-Person Intra-Modality Attention Based Model for Dyadic Engagement Prediction, HCII2023
  5. Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada, Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions, HCII2023
  6. Shinichi Sugiura, Ken Inoue, Shinichiro Yokoyama, Shogo Okada, Binary Classification Prediction of Cognitive Status Using Sleep Activity Data, IEEE EMBC2023
  7. Ryusei Kimura, Takahiro Tanaka, Shogo Okada, Driver's Cognitive Function Estimation Using Daily Driving Data, IEEE EMBC2023
  8. Sixia Li,Shogo Okada, An investigation on how zero-shot slot filling benefits the task-oriented dialogue system , 13th International Workshop on Spoken Dialogue Systems Technology (IWSDS), 2023
  9. Tomoya Ohba*, Candy Olivia Mawalim*, Shun Katada, Haruki Kuroki, Shogo Okada Multimodal Analysis for Communication Skill and Self-Efficacy Level Estimation in Job Interview Scenario. ACM International Conference on Mobile and Ubiquitous Multimedia (MUM) 2022. (To appear)
  10. Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada. IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. IEEE International Conference on Machine Learning and Applications (ICMLA), short paper , 2022. (To appear)
  11. Wenqing Wei, Sixia Li, Shogo Okada , Investigating the relationship between dialogue and exchange-level impression, ACM International Conference on Multimodal Interaction, 2022. (To appear)
  12. Shun Katada, Shogo Okada, Kazunori Komatani, Transformer-Based Physiological Feature Learning for Multimodal Analysis of Self-Reported Sentiment, ACM International Conference on Multimodal Interaction, 2022. (To appear)
  13. Yukiko Nakano, Eri Hirose, Tatsuya Sakato, Shogo Okada, Jean-Claude MARTIN. Detecting Change Talk in Motivational Interviewing using Verbal and Facial Information, ACM International Conference on Multimodal Interaction, 2022.
  14. Candy Olivia Mawalim, Benita Angela Titalim, Masashi Unoki, and Shogo Okada, OBISHI: Objective Binaural Intelligibility Score for the Hearing Impaired. Australasian International Conference on Speech Science and Technology, Canberra, Australia, 2022. (To appear)
  15. Benita Angela Titalim*, Candy Olivia Mawalim*, Shogo Okada, and Masashi Unoki. Speech Intelligibility Prediction for Hearing Aids Using an Auditory Model and Acoustic Parameters. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, 2022. (To appear)
  16. Candy Olivia Mawalim, Shogo Okada, and Masashi Unoki. F0 Modification via PV-TSM Algorithm for Speaker Anonymization Across Gender. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, 2022. (To appear)
  17. Taiyang Guo , Sixia Li, Shogo Okada, Masashi Unoki. Investigation of Noise-Reverberation-Robustness of Modulation Spectral Features for Speech-Emotion Recognition. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, 2022. (To appear) (minor thesis outcome.)
  18. Candy Olivia Mawalim, Shogo Okada, and Masashi Unoki. Speaker Anonymization by Pitch Shifting Based on Time-Scale Modification. 2nd Symposium on Security and Privacy in Speech Communication joined with 2nd VoicePrivacy Challenge Workshop September 23 & 24 2022, as a satellite to Interspeech 2022
  19. Yuan Gao, Shogo Okada, Longbiao Wang, Jiaxing Liu, Jianwu Dang, Domain-Invariant Feature Learning for Cross Corpus Speech Emotion Recognition, IEEE ICASSP 2022 (accepted)
  20. Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro FUJIKAKE, Hitoshi Kanamori, Shogo Okada, Psychological characteristics estimation from on-road driving data, HCII2022 (accepted)
  21. Shun Katada, Kiyoaki Shirai, and Shogo Okada, Incorporation of contextual information into BERT for dialog act classification in Japanese, International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2021.
  22. Yuki Hirano, Shogo Okada, Kazunori Komatani: Recognizing Social Signals with Weakly Supervised Multitask Learning for Multimodal dialogue Systems. 23th ACM International Conference on Multimodal Interaction (ICMI) 2021, pp.141-149
  23. Wenqing Wei, Sixia Li, Shogo Okada, Kazunori Komatani. Multimodal User Satisfaction Recognition for Non-task Oriented Dialogue Systems. 23th ACM International Conference on Multimodal Interaction (ICMI) 2021, pp.586-594
  24. Kazunori Komatani, Shogo Okada. Multimodal Human-Agent Dialogue Corpus with Annotations at Utterance and Dialogue Levels. 9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021), pp.1-7
  25. Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang, CONSK-GCN: Conversational Semantic-and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition, IEEE International Conference on Multimedia and Expo (ICME), pp.1-6, 2021
  26. Yasushi Amari, Shogo Okada, Maiko Matsumoto, Kugatsu Sadamitsu, Atsushi Nakamoto: Multimodal Analysis of Client Persuasion in Consulting Interactions: Toward Understanding Successful Consulting. HCI (14) 2021: 29-40
  27. Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong: Analysis of Modality-Based Presentation Skills Using Sequential Models. HCI (13) 2021: 358-369 2020
  28. Sketch2bento: Sketch-based arrangement guidance for lunch boxes H Wang, H Kanayama, Y Peng, S Yoshida, H Xie, S Okada, K Miyata 2021 Nicograph International (NicoInt), 114-114
  29. Shun Katada, Shogo Okada, Yuki Hirano, and Kazunori Komatani. Is She Truly Enjoying the Conversation? Analysis of Physiological Signals toward Adaptive Dialogue Systems. 22th ACM International Conference on Multimodal Interaction (ICMI) 2020, 315-323[pdf]
  30. Ryo Kimura, Shogo Okada, Personality Trait Classification Based on Co-occurrence Pattern Modeling with Convolutional Neural Network. HCI (45) 2020: 359-370
  31. Yuki Hirano, Shogo Okada, Haruto Nishimoto, Kazunori Komatani: Multitask Prediction of Exchange-level Annotations for Multimodal Dialogue Systems. 21th ACM International Conference on Multimodal Interaction (ICMI) 2019: 85-94 [Best Paper Runner-up Award] [pdf]
  32. Go Miura, Shogo Okada: Task-independent Multimodal Prediction of Group Performance Based on Product Dimensions. 21th ACM International Conference on Multimodal Interaction (ICMI)I 2019: 264-273 [Best Paper Runner-up Award][pdf]
  33. Sixia Li, Shogo Okada, Jianwu Dang: Interaction Process Label Recognition in Group Discussion. 21th ACM International Conference on Multimodal Interaction (ICMI)2019: 426-434 [pdf]
  34. Shogo Okada, Ken Inoue, Toru Imai, Mami Moguchi and Kaiko Kuwamura, Classification of Dementia Scale Based on Ubiquitous Daily Activity and Interaction Sensing, 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019), 1-7 [pdf]
  35. Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano, Masashi Unoki: Multimodal BigFive Personality Trait Analysis Using Communication Skill Indices and Multiple Discussion Types Dataset. HCI (13) 2019: 370-383 [Best Paper on Social Computing and Social Media Section][pdf]
  36. Fuhui Tian, Shogo Okada, Katsumi Nitta: Analyzing Eye Movements in Interview Communication with Virtual Reality Agents. 7th annual International Conference on Human-Agent Interaction (HAI) 2019: 3-10[pdf]
  37. Shogo Okada, Akihiro Matsuda, Katsumi Nitta: Multimodal Negative-Attitude Recognition Toward Automatic Conflict-Scene Detection in Negotiation Dialog. HCI (14) 2018: 268-278[pdf]
  38. Takuya Ishihara, Katsumi Nitta, Fuminori Nagasawa, Shogo Okada: Estimating interviewee's willingness in multimodal human robot interview interaction. 20th ACM International Conference on Multimodal Interaction (ICMI) (adjunct) 2018: 2:1-2:6[pdf]
  39. Shogo Okada, Kazuhiro Otsuka: Recognizing Words from Gestures: Discovering Gesture Descriptors Associated with Spoken Utterances. FG 2017: 430-437[pdf]
  40. Youwei Lu, Shogo Okada, Katsumi Nitta: Weibull partition models with applications to hidden semi-Markov models. IEEE IJCNN 2017: 162-169
  41. Seiya Kimura, Hung-Hsuan Huang, Qi Zhang, Shogo Okada, Naoki Ohta, Kazuhiro Kuwabara: Proposal of a Model to Determine the Attention Target for an Agent in Group Discussion with Non-verbal Features. HAI 2017: 195-202
  42. Qi Zhang, Hung-Hsuan Huang, Seiya Kimura, Shogo Okada, Yuki Hayashi, Yutaka Takase, Yukiko I. Nakano, Naoki Ohta, Kazuhiro Kuwabara: Toward a Supporting System of Communication Skill: The Influence of Functional Roles of Participants in Group Discussion. HCI (13) 2017: 178-188
  43. Kazunori Hori, Shogo Okada, Katsumi Nitta: Fashion image classification on mobile phones using layered deep convolutional neural networks. The 15th International Conference on Mobile and Ubiquitous Multimedia (MUM 2016) 2016: 359-361
  44. Shogo Okada, Yoshihiko Ohtake, Yukiko I. Nakano, Yuki Hayashi, Hung-Hsuan Huang, Yutaka Takase, Katsumi Nitta: Estimating communication skills using dialogue acts and nonverbal features in multiple discussion datasets, 18th ACM International Conference on Multimodal Interaction (ICMI), Tokyo, Nov. 2016.
  45. Shogo Okada, Oya Aran and Daniel Gatica-Perez, Personality Trait Classification via Co-Occurrent Multiparty Multimodal Event Discovery, 17th ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015. (Accepted as long paper and oral presentation, acceptance ratio 19% )
  46. Yukiko I. Nakano, Sakiko Nihonyanagi, Yutaka Takase, Yuki Hayashi, Shogo Okada, Predicting Participation Styles using Co-occurrence Patterns of Nonverbal Behaviors in Collaborative Learning, 17th ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015. (Accepted as long paper and oral presentation, acceptance ratio 19% )
  47. Argumentation Support Tool with Reliability-Based Argumentation Framework Kei Nishina, Yuki Katsura, Shogo Okada and Katsumi Nitta, Jurisin 2015
  48. Naoko Saito, Shogo Okada, and Katsumi Nitta: Estimating User's Attitude in Multimodal Conversational System for Elderly People with Dementia. AAAI Spring Symposium, Turn-Taking and Coordination in Human-Machine Interaction, Technical Report SS-15-07 Pages 100-103 accepted as a short paper (oral and poster presentation)
  49. Kei Nishina, Shogo Okada, and Katsumi Nitta: Module Based Argumentation Framework for Analysis of Actual Discussion Records. International Workshop on Julis-Informatics (Jurisin)
  50. Makoto Sakahara, Shogo Okada, Katsumi Nitta: Domain-Independent Unsupervised Text Segmentation for Data Management. ICDM Workshops 2014: 481-487
  51. Fumio Nihei, Yukiko I. Nakano, Yuki Hayashi, Hung-Hsuan Huang, Shogo Okada: Predicting Influential Statements in Group Discussions using Speech and Head Motion Information. 16th ACM International Conference on Multimodal Interaction (ICMI) 2014: 136-143
  52. Shogo Okada, Mayumi Bono, Yasuyuki Sumi, Katsuya Takanashi, Katsumi Nitta, Context based Conversational Hand Gesture Classification in Narrative Interaction, 15th ACM International Conference on Multimodal Interaction (ICMI), 2013
  53. Jing Xu, Shogo Okada, and Katsumi Nitta, A semantic-similarity-based method for object description and clustering. IEEE International Conference on System Man and Cybernetics (SMC) 2013,UK, Manchester, Oct, 2013. (accepted)
  54. Shumpei Kubosawa, Kei Nishina, Masaki Sugimoto, Shogo Okada, Katsumi Nitta: A discussion training support system and its evaluation. ICAIL 2013: pp.197-201, Italy, Rome, Jun, 2013.
  55. Ayano Tamura, Shogo Okada, Tetsuya Harada, Makoto Sato, Katsumi Nitta, HAPPicom: Haptic Pad for Impressive Text Communication ACM International Conference on Intelligent User Interfaces (IUI) 2013, pp.101-102 ,Santa Monica, CA, Mar, 2013.
  56. Youwei Lu, Shogo Okada, Katsumi Nitta, Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification, IEA/AIE 2013, pp 351-360
  57. Masaki Sugimoto, Takahiro Ueda, Shogo Okada, Yukio Ohsawa, Yoshiharu Maeno and Katsumi Nitta, Discussion Analysis Using Temporal Data Crystallization, New Frontiers in Artificial Intelligence , Jurisin, 2013, pp 205-216
  58. Takanori Sato, Shogo Okada, Katsumi Nitta, Deliberation Process Support System for Citizen Judge Trial Based on Structure of Factors, New Frontiers in Artificial Intelligence, Jurisin, 2012, pp 155-169
  59. Jing Xu, Shogo Okada, and Katsumi Nitta: Semantic-Feature-Based Object Recognition by Using Internet Data Mining. Web Intelligence/IAT Workshops, 2012, Macao, Dec, 2012
  60. Shumpei Kubosawa, Ro Youwei, Shogo Okada, and Katsumi Nitta: "Argument Analysis with Factor Annotation Tool, Jurix, pp. 61-70, Dec, 2012
  61. Shogo Okada, Yusaku Sato, Yuki Kamiya, Keiji Yamada, Katsumi Nitta, Analysis of the Correlation between the Regularity of Work Behavior and Stress Indices Based on Longitudinal Behavioral Data, 14th ACM International Conference on Multimodal Interaction (ICMI), pp. 425-432 , Santa Monica, CA. Oct, 2012, (Accepted as Long paper acceptance ratio 21% ).
  62. Meng Chen, Shogo Okada, Katsumi Nitta: Effectiveness of haptic interaction in online negotiation between Chinese and Japanese. IEEE GrC 2011: pp.111-114, Gaohsiung, Taiwan, Dec, 2011.
  63. Shogo Okada, Toyoaki Nishida :Online Incremental Clustering with Distance Metric Learning for High Dimensional Data, IEEE International Joint Conference on Neural Networks(IJCNN) , pp.2047-2054, San Jose, CA, Aug, 2011.Yasser Mohammad,
  64. Shogo Okada and Toyoaki Nishida: Autonomous Development of Gaze Control for Natural Human-Robot Interaction, ACM IUI workshop, pp. 63-70, Hong Kong, Feb, 2011.
  65. Shogo Okada, Satoshi Ishibashi, Toyoaki Nishida On-Line Unsupervised Segmentation for Multidimensional Time-Series Data and Application to Spatiotemporal Gesture data, Trends in Applied Intelligent Systems, IEA/AIE, 2010, pp 337-347
  66. Shogo Okada, Osamu Hasegawa, Toyoaki Nishida Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network, Artificial Neural Networks ? ICANN 2010, 6354, 2010,
  67. Shogo Okada, Toyoaki Nishida, Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning, Artificial Neural Networks ICANN 2010, pp 468-478
  68. Kae Sakamoto, Shogo Okada, Toyoaki Nishida," Multi-modal Processing for Acquisition of Interaction Behavior in Social Robot ", International Workshop on SID, Sep,2010, UK
  69. Hiroki Ohashi, Shogo Okada, Yoshimasa Ohmoto and Toyoaki Nishida," A Proposal of Novel WOZ Environment for Realizing Essence of Communication in Social Robots ", International Workshop on SID,2010, UK
  70. Yasser Mohammad, Toyoaki Nishida, and?Shogo Okada, Unsupervised Simultaneous Learning of Gestures, Actions and their Associations for Human-Robot Interaction, IEEE International Conference on Intelligent RObots and Systems (IROS2009) , pp. 2537-2544 , St. Louis, USA, Oct, 2009
  71. Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida:Actively Adaptive Agent for Human-Agent Collaborative Task, International Conference on Active Media Technology, Volume 5820, 2009, pp 19-30.
  72. Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida: A Platform System for Developing a Collaborative Mutually Adaptive Agent, IEA/AIE, 2009, pp 576-585
  73. Shogo Okada, Toyoaki Nishida :Incremental clustering of gesture patterns based on Self-Organizing Incremental Neural Network, IEEE IJCNN, 2316-2322, Atlanta, USA , Jun, 2009
  74. Benjamin Alexander Hacker, Thomas Wankerl, Andrey Kiselev, Hung-Hsuan Huang, Loic Merckel, Shogo Okada, Johann Schlichter, Niyaz M. Abdikeev and Toyoaki Nishida: Incorporating Intentional and Emotional Behaviors into a Virtual Human for Better Customer-Engineer-Interaction. IEEE the 10th International Conference on Telecommunications (ConTEL), pp.163-170, Zagreb, Croatia ,Jun. 2009.
  75. Yong Xu, Yoshimasa Ohmoto, , Kazuhiro Ueda Takanori Komatsu, Takeshi?Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida, Establishing Adaptation Loop in Interaction between Human User and Adaptive Agent, IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), (2009)
  76. Shogo Okada, Satoshi Ishibashi, Yoichi Kobayashi,Toyoaki Nishida: "Incremental learning of gestures for human-robot Interaction",The International Workshop on SID, San Juan, Puerto Rico, Dec, 2008
  77. Shogo Okada, Osamu Hasegawa :Motion Recognition Based on Dynamic-Time Warping Method with Self-Organizing Incremental Neural Network, The 19th International Conference on Pattern Recognition (ICPR) ,1-4 ,Tampa, USA, Dec, 2008
  78. Yong XU, Yoshimasa OHMOTO, Shogo OKADA, and Toyoaki NISHIDA, Role of Stop Instruction in a Human-Robot Interactive Directional Guidance Task ,Fourth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 15-18, Australia, Sydney, Dec, 2008.
  79. Shogo Okada, Osamu Hasegawa,On-line Learning of Sequence Data Based on Self-Organizing Incremental Neural Network, IEEE IJCNN2008, 3847-3854,Hongkong, Jun, 2008
  80. Shogo Okada, Osamu Hasegawa, Classification of Temporal Data Based on Self-organizing Incremental Neural Network, Artificial Neural Networks ? ICANN 2007, pp 465-475
  81. Shogo Okada,Osamu Hasegawa, Unsupervised Learning, Recognition, and Generation of Time-series Patterns Based on Self-Organizing Segmentation, The 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 06), Hatfield, UK , Sep, 2006.
  82. Shogo Okada,Osamu Hasegawa, Recognition and Generation of Time-series Patterns Based on Division and Integration", 2nd International Joint Conference on SCIS & ISIS, TUP-3-5, Kawasaki Japan,Sep, 2004