2021

• Hiroki Tanaka, Takeshi Saga, Satoshi Nakamura, “Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates,” Applications of Big Data Technology in the Transport Industry, IEEE BigData 2021, pp2936-2940, Dec. 2021
• Akinobu Maejima, Hiroyuki Kubo, Seitaro Shinagawa, Takuya Funatomi, Tatsuo Yotsukura, Satoshi Nakamura, “Anime Character Colorization using Few-shot Learning,” SIGGRAPH Asia 2021 Technical Communications, pp1-4, Dec. 2021
• Kohichi Takai, Gen Hattori, Akio Yoneyama, Keiji Yasuda, Katsuhito Sudoh, Satoshi Nakamura, “Named Entity-Factored Transformer for Proper Noun Translation,” International Conference on Natural Language Processing(ICON), Dec. 2021
• Hour Kaing, Chenchen Ding, Katsuhito Sudoh, Masao Utiyama, Eiichiro Sumita, Satoshi Nakamura, “Multi-Source Cross-Lingual Constituency Parsing,” The 18th International Conference on Natural Language Processing (ICON 2021), Dec. 2021
• Satoshi Nakamura, 須藤 克仁, Sakriani Sakti, Ryo Fukuda, Sashi Novitasari, Tomoya Yanagita, Kosuke Doi, Yasumasa Kano, Yuki Yano, Hirotaka Tokuyama, Yui Oka, “Recent Advances in Speech Translation,” AI Innovation Summit 2021, 2021.11
• Satoshi Nakamura, Katsuhito Sudoh, Sakriani Sakti, Ryo Fukuda, Sashi Novitasari, Tomoya Yanagita, Kosuke Doi, Yasumasa Kano, Yuka Ko, Yuki Yano, Hirotaka Tokuyama, Yui Oka, “Recent Advances in Speech-to-speech Translation,” AIST 2021 Artificial Intelligence & Speech Technology, 2021.11
• Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti, Satoshi Nakamura, “Eliciting Cooperative Persuasive Dialogue by Multimodal Emotional Robot,” IWSDS 2021, Nov. 2021
• Kosuke Takahashi, Yoichi Ishibashi, Katsuhito Sudoh, Satoshi Nakamura, “Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task,” Sixth Conference on Machine Translation, vol.1, pp1054-1057, Nov. 2021
• Ryo Fukuda, Sashi Novitasari, Yui Oka, Yasumasa Kano, Yuki Yano, Yuka Ko, Hirotaka Tokuyama, Kosuke Doi, Tomoya Yanagita, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura, “Simultaneous Speech-to-Speech Translation System with Transformer-based Incremental ASR, MT, and TTS,” The 24th Conference of the Oriental COCOSDA., pp186-192, 18 Nov. 2021
• Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin, Catherine Pelachaud, “2nd Workshop on Social Affective Multimodal Interaction for Health (SAMIH),” International Conference on Multimodal Interaction (ICMI 2021), pp853-854, 18 Oct. 2021
• Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura, “Meta-Learning for Emotion Prediction from EEG while Listening to Music,” International Conference on Multimodal Interaction (ICMI 2021), 18 Oct. 2021
• Takeshi Saga, Hiroki Tanaka, Hidemi Iwasaka, Yasuhiro Matsuda, Tsubasa Morimoto, Mitsuhiro Uratani, Kosuke Okazaki, Yuichiro Fujimoto, Satoshi Nakamura, “Multimodal Dataset of Social Skills Training in Natural Conversational Setting,” 2nd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) – ICMI 2021, 22 Oct. 2021
• Hiroki Tanaka, Satoshi Nakamura, “Virtual Agent Design for Social Skills Training Considering Autistic Traits,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp4959-4962, Oct. 2021
• Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura, “Simultaneous Neural Machine Translation with Constituent Label Prediction,” SIXTH CONFERENCE ON MACHINE TRANSLATION (WMT21), Oct. 2021
• Nobuyoshi Kaiki, Sakriani Sakti, Satoshi Nakamura, “USING LOCAL PHRASE DEPENDENCY STRUCTURE INFORMATION IN NEURAL SEQUENCE-TO-SEQUENCE SPEECH SYNTHESIS,” Oriental COCOSDA2021, pp206-211, Oct. 2021
• Kazuhiro Shidara, Hiroki Tanaka, Hiroyoshi Adachi, Daisuke Kanayama, Yukako Sakagami, Takashi Kudo, Satoshi Nakamura, “Relationship between Mood Improvement and Questioning to Evaluate Automatic Thoughts in Cognitive Restructuring with a Virtual Agent,” Workshop on Functions of Emotions for Socially Interactive Agents (Func-E) in 9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021), Sep. 2021
• Johanes Effendi, Sakriani Sakti, Satoshi Nakamura, “Weakly-supervised Speech-to-text Mapping with Visually Connected Non-parallel Speech-text Data using Cyclic Partially-aligned Transformer,” INTERSPEECH 2021, Sep. 2021
• Sashi Novitasari, Sakriani Sakti, Satoshi Nakamura, “Dynamically Adaptive Machine Speech Chain Inference for TTS in Noisy Environment: Listen and Speak Louder,” INTERSPEECH 2021, Sep. 2021
• Shun Takahashi, Sakriani Sakti, Satoshi Nakamura, “Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource Languages,” Proc. Interspeech 2021, Sep. 2021
• Yuka Ko, Katsuhito Sudoh, Sakriani Sakti, Satoshi Nakamura, “ASR Posterior-based Loss for Multi-task End-to-end Speech Translation,” Proc. Interspeech 2021, pp2272-2276, Sep. 2021
• Hirotaka Tokuyama, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura, “Transcribing Paralinguistic Acoustic Cues to Target Language Text in Transformer-Based Speech-to-Text Translation,” Proc. Interspeech 2021, Sep. 2021
• Kosuke Doi, Katsuhito Sudoh, Satoshi Nakamura, “Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data,” Proceedings of the 18th International Conference on Spoken Language Translation, pp226-235, Aug. 2021
• Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura, “On Knowledge Distillation for Translating Erroneous Speech Transcriptions,” Proceedings of the 18th International Conference on Spoken Language Translation, pp198-205, Aug. 2021
• Ryo Fukuda, Yui Oka, Yasumasa Kano, Yuki Yano, Yuka Ko, Hirotaka Tokuyama, Kosuke Doi, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura, “NAIST English-to-Japanese Simultaneous Translation System for IWSLT 2021 Simultaneous Text-to-text Task,” Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021) [system demostration paper], pp39-45, Aug. 2021
• Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura, “ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions,” The 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp77-88, Jul. 2021
• Shohei Tanaka, “Towards Thoughtful Dialogue Agent as Well as Human Concierge,” 17th Young Researchers’ Roundtable on Spoken Dialog Systems (YRRSDS), Jul. 2021
• Katsuhito Sudoh, Kosuke Takahashi, Satoshi Nakamura, “Is This Translation Error Critical?: Classification-Based Human and Automatic Machine Translation Evaluation Focusing on Critical Errors,” Workshop on Human Evaluation of NLP Systems (HumEval), pp46-55, Apr. 2021
• 矢野祐貴, 須藤克仁, 中村哲, “事前学習済みTransformerを用いたData-to-textにおける入力順序の影響分析,” 言語処理学会第27回年次大会発表論文集, 2021.3
• Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura, “Emotion Estimation from EEG Signals and Expected Subjective Evaluation,” The 9th International Winter Conference on Brain-Computer Interface, Feb. 2021
• Seiya Kawano, Koichiro Yoshino, David Traum, Satoshi Nakamura, “Dialogue Structure Parsing on Multi-Floor Dialogue Based on Multi-Task Learning,” n Proceedings of the 1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction (ROBOTDIAL2020), Jan. 2021
• Takatomo Kano, Sakriani Sakti, Satoshi Nakamura, “TRANSFORMER-BASED DIRECT SPEECH-TO-SPEECH TRANSLATION WITH TRANSCODER,” IEEE Spoken Language Technology Workshop, Jan. 2021
• Bin Wu, Sakriani Sakti, Satoshi Nakamura, “Incorporating Discriminative DPGMM Posteriorgrams for Low-resource ASR,” IEEE Spoken Language Technology Workshop, Jan. 2021
• Satoshi Nakamura, “Towards More Human-like Machine Speech Chain,” International Symposium on Chinese Spoken Language Processing (ISCSLP), 25 Jan. 2021
• Zheng Chen, Pei Gao, 小野　直亮, MD. ALTAF-UL-AMIN, 金谷　重彦, 黄　銘, “Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages,” IEEE EMBC 2021, vol.IEEE, 2021.11
• Zheng Chen, Koki Odani, 小野　直亮, MD. ALTAF-UL-AMIN, 金谷　重彦, 黄　銘, “Feasibility Analysis of Transformer Model for EEG-Based Sleep Scoring,” IEEE BHI 2021, IEEE, 2021.8
• Guang Shi, Zhen Chen, Shigehiko Kanaya, Md. Altaf-UI-Amin, Naoaki Ono, Ming Huang, “Prediction of Body Constitutions through Life-Style for Health Guidance,” 2021.2
• Pei Gao, Zhen Chen, 黄　銘, 小野　直亮, 金谷　重彦, MD. ALTAF-UL-AMIN, “An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia,” IEEE LifeTech 2021, IEEE, 2021.2
• Yiran Wang, Shindo Hiroyuki, Yuji Matsumoto, Taro Watanabe, “Structured Refinement for Sequential Labeling,” Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp1873-1884, Aug. 2021
• Yiran Wang, Shindo Hiroyuki, Yuji Matsumoto, Taro Watanabe, “Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path,” Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, vol.1, pp3547-3557, Aug. 2021
• Chowdhury Mohammad Mahir Asef, Shanshan LIU, Shindo Hiroyuki, Yuji Matsumoto, 浦岡　行治, “Automatic extraction of text data of synthesis process for papers on bulk thermoelectric materials ,” Virtual Conference on Thermoelectrics, 2021.7.21

2020

• Yui Oka, Katsuki Chousa, Katsuhito Sudoh and Satoshi Nakamura, “Incorporating Noisy Length Constraints into Transformer with Length-aware Positional Encodings,” Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), pp3580-3585, Dec. 2020
• Mayuko Okamoto, Sakriani Sakti and Satoshi Nakamura, “Towards Speech Entrainment: Considering ASR Information in Speaking Rate Variation of TTS Waveform Generation,” Oriental COCOSDA 2020, Nov. 2020
• Satoshi Nakamura, Sakriani Sakti, Tomoya Yanagita and Novitasari Sashi, “Towards Incremental ASR and TTS for Real time Interaction,” 2nd INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SPEECH TECHNOLOGY, Nov. 2020
• Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis,” Interspeech 2020, Oct. 2020
• Satoshi Nakamura, “Social-affective interactions with virtual agents,” International Doctoral Summer School in Conversational Systems for Mental e-health, 9 Oct. 2020
• Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti and Satoshi Nakamura, “Combining Audio and Brain Activity for Predicting Speech Quality,” Interspeech 2020, Oct. 2020
• Kazuki Tsunematsu, Johanes Effendi, Sakriani Sakti and Satoshi Nakamura, “Neural Speech Completion,” Interspeech 2020, Oct. 2020
• Johanes Effendi, Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Augmenting Images for ASR and TTS throughSingle-loop and Dual-loop Multimodal Chain Framework,” Interspeech 2020, Oct. 2020
• Sashi Novitasari, Andros Tjandra, Tomoya Yanagita, Sakriani Sakti and Satoshi Nakamura, “Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time,” Interspeech 2020, Oct. 2020
• Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin and Catherine Pelachaud, “Social Affective Multimodal Interaction for Health,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp893-894, Oct. 2020
• Kana Miyamoto, Hiroki Tanaka and Satoshi Nakamura, “Music Generation and Emotion Estimation from EEG Signals for Inducing Affective States,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp487-491, Oct. 2020
• Takeshi Saga, Hiroki Tanaka, Hidemi Iwasaka and Satoshi Nakamura, “Objective Prediction of Social Skills Level for Automated Social Skills Training Using Audio and Text Information,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp467-471, Oct. 2020
• Kazuhiro Shidara, Hiroki Tanaka, Hiroyoshi Adachi, Daisuke Kanayama, Yukako Sakagami, Takashi Kudo and Satoshi Nakamura, “ Analysis of Mood Changes and Facial Expressions during Cognitive Behavior Therapy through a Virtual Agent,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp477-481, Oct. 2020
• Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino and Satoshi Nakamura, “Reflection-based Word Attribute Transfer,” In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL): Student Research Workshop (SRW), pp51-58, Jul. 2020
• Kosuke Takahashi, Katsuhito Sudoh and Satoshi Nakamura, “Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model.,” In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp3553-3558, Jul. 2020
• Ryo Fukuda, Katsuhito Sudoh and Satoshi Nakamura, “NAIST’s Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task,” In Proceedings of the 17th International Conference on Spoken Language Translation (IWSLT), pp172-177, Jul. 2020
• Haruko Yagura, Hiroki Tanaka, Taiki Kinoshita, Hiroki Watanabe, Shunnosuke Motomura, Katsuhito Sudoh and Satoshi Nakamura, “Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronization,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp66-69, Jul. 2020
• Shunnosuke Motomura, Hiroki Tanaka and Satoshi Nakamura, “Sequential Attention-based Detection of Semantic Incongrueties from EEG While Listening to Speech,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp268-271, Jul. 2020
• Hiroki Tanaka, Hidemi Iwasaka, Hideki Negoro and Satoshi Nakamura, “Linguistic Features during Speech Utterances in the Context of Social Skills Training,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp6201-6201, Jul. 2020
• Panikos Heracleous, Akio Yoneyama, Kohichi Takai and Keiji Yasuda, “Automatic Spoken Language Identification Using Emotional Speech,” HCI International 2020, Jul. 2020
• Kohichi Takai, Panikos Heracleous, Keiji Yasuda and Akio Yoneyama, “Deep Learning-based Automatic Pronunciation Assessment for Second Language Learners,” HCI International 2020, Jul. 2020
• Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Yang Wu, Sakriani Sakti and Satoshi Nakamura, “ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation,” BMTT MOTChallenge Workshop of CVPR, Jun. 2020
• Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti and Satoshi Nakamura, “A Framework for Knowing Who is Doing What in Aerial Surveillance Videos,” ICASSP 2020, May. 2020
• Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura and Geoffrey Zweig, “Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May. 2020
• Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti and Satoshi Nakamura, “Emotional Speech Corpus for Persuasive Dialogue System,” the 12th Conference on Language Resources and Evaluation (LREC 2020), pp491-497, May. 2020
• Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura., “Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis. ,” In the Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), pp131-138, 2020.5
• Panyawut Sri-iesaranusorn, Saeka Shimochi, Naoaki Ono, Emrah Yatkin, Hidehiro Iida, Kazushi Ikeda and Junichiro Yoshimoto, “Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats,” APSIPA-ASC, vol.in press, 7 Dec. 2020
• Zheng Chen, 小野　直亮, MD. ALTAF-UL-AMIN, 金谷　重彦 and Ming Huang, “iVAE: A New Deep Learning Structure for EEG Signal Characterization and Reconstruction,” IEEE BIBM2020, IEEE, Nov. 2020
• Kazuhisa Hirose, Joao V. Nani, Lucas C. Porta, Naoaki Ono, Shigehiko Kanaya, Mirian. A. F. Hayashi and MD. ALTAF-UL-AMIN, “Construction of Schizophrenia and Bipolar Disorder Related Protein-Protein Interaction Network for Pathway Analysis,” The Asian Regional Conference on Systems Biology, Mar. 2020
• Mutsunori Uenuma, Shota Terai, Tomoyuki Miyano, Yasuaki Ishikawa and Yukiharu Uraoka, “Bayesian optimization and expected hyper volume improvement for SiO2/GaN capacitor ,” International Conference on Solid State Devices and Materials , vol.D-10-06 , 30 Sep. 2020

2019

• Satoshi Nakamura, Jean-Claude Martin, “TAPAS: Training Adapted Personalised Affective Social Skills with Cultural Virtual Agents,” 2nd JST-ANR Joint Symposium: Symbiotic Interaction 2019, 2 Dec. 2019
• Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura, “Make Skeleton-based Action Recognition Model Smaller, Faster and Better,” ACM International Conference on Multimedia in Asia (ACMMULTIMEDIA ASIA 2019), Dec. 2019
• Nguyen The Tung, Koichiro Yoshino, Sakriani Sakti, Satoshi Nakamura, “Hierarchical Tensor Fusion Network for Deception Handling Negotiation Dialog Model,” Proc. of the 3rd Conversational AI workshop (ConvAI 2019), Dec. 2019
• Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura, “Dialogue Model and Response Generation for Emotion Improvement Elicitation,” Proc. of the 3rd Conversational AI workshop (ConvAI 2019), Dec. 2019
• Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Speech-to-speech Translation between Untranscribed Unknown Languages,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
• Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Listening while Speaking: Improving ASR through Multimodal Chain,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
• Sahoko Nakayama, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “ZERO-SHOT CODE-SWITCHING ASR AND TTS WITH MULTILINGUAL MACHINE SPEECH CHAIN,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
• Takatomo Kano, Sakriani Sakti, Satoshi Nakamura, “Neural Machine Translation with Acoustic Embedding,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
• Satoshi Nakamura, “Machine Speech Chain for Lifelong Learning,” Life Long Learning for Spoken Language Systems Workshop 2019, 14 Dec. 2019
• Satoshi Nakamura, Sakriani Sakti, Katsuhito Sudoh, “Semi-supervised Learning by Machine Speech Chain for Multilingual Speech Processing, and Recent Progress on Automatic Speech Interpretation,” The International Conference Language Technologies for All (LT4All): Enabling Linguistic Diversity and Multilingualism Worldwide, Dec. 2019
• Satoshi Nakamura, “Recent Advances in Speech Processing and Machine Translation Research at NAIST,” International Conference on Artificial Intelligence and Speech Technology (AIST 2019), Nov. 2019
• Satoshi Nakamura, ” Spoken Language Technologies for Tourism Information Analytics and Social Skill Training,” Spoken Multimodal Dialogue Systems Technology for Pervasive Computing, Shonan Meeting, Oct. 2019
• Hiroki Tanaka, Hiroyoshi Adachi, Hiroaki Kazui, Manabu Ikeda, Takashi Kudo, Satoshi Nakamura, “Detecting Dementia from Face in Human-Agent Interaction,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
• Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura, “Detecting Syntactic Violations from Single-trial EEG using Recurrent Neural Networks,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
• Taiki Kinoshita, Hiroki Tanaka, Koichiro Yoshino, Satoshi Nakamura, “Measuring Affective Sharing between Two People by EEG Hyperscanning,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
• Mayuko Okamoto, Sakriani Sakti, Satoshi Nakamura, “Phoneme Level Speaking Rate Variation on Waveform Generation using GAN-TTS,” Proc. of Oriental COCOSDA 2019, no.55, Oct. 2019
• Sahoko Nakayama, Takatomo Kano, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Recognition and Translation of Code-switching Speech Utterances,” Proc. of Oriental COCOSDA 2019, no.71, Oct. 2019
• Seiya Kawano, Koichiro Yoshino, Satoshi Nakamura, “Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective,” Proceedings of the 12th International Conference on Natural Language Generation (INLG2019), pp198-207, Oct. 2019
• Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “Speech Quality Evaluation of Synthesized Japanese Speech Using EEG,” Proceedings of INTERSPEECH 2019, Sep. 2019
• Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Sequence-to-sequence Learning via Attention Transfer for Incremental Speech Recognition,” Proceedings of INTERSPEECH 2019, pp3835-3839, Sep. 2019
• Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizou Li, Satoshi Nakamura, “VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019,” Proceedings of INTERSPEECH 2019, pp1118-1122, Sep. 2019
• Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura, “Neural iTTS: Toward Synthesizing Speech in Real-time with End-to-end Neural Text-to-Speech Framework,” 10th Speech Synthesis Workshop (SSW10), Sep. 2019
• Andrei Catalin Coman, Koichiro Yoshino, Yukitoshi Murase, SatoshiNakamura, Giuseppe Riccardi, “An Incremental Turn-Taking Model For Task-Oriented Dialog Systems,” Proceedings of INTERSPEECH 2019, Sep. 2019
• Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura, “Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding,” Proceedings of the 1st Workshop on NLP for Conversational AI（ConvAI 2019）, pp51-59, 1 Aug. 2019
• Satoshi Nakamura, “End-to-end approach to ASR, TTS and Speech Translation,” Task Force on Speech, Dialogue and Auditory Processing of CCF, China Computer Federation, 14 Aug. 2019
• Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura, “Reflection-based Word Attribute Transfer,” Third International Workshop on Symbolic-Neural Learning (SNL2019), Jul. 2019
• Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “EEG Analysis Towards Evaluating Synthesized Speech Quality,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Jul. 2019
• Maejima, Hiroyuki Kubo, takuya funatomi, T. Yotsukura, Satoshi Nakamura, Mukaigawa Yasuhiro, “Graph Matching based Anime Colorization with Multiple References,” SIGGRAPH 2019, Jul. 2019
• Satoshi Nakamura, “Toward Automatic Speech Interpretation,” CLI9, 14 Jun. 2019
• Holy Lovenia, Hiroki Tanaka, Sakriani Sakti, Ayu Purwarianti, Satoshi Nakamura, “Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), pp1115-1119, May. 2019
• Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “End-to-end feedback loss in speech chain framework via straight-through estimator,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), May. 2019
• Marco Vetter, Sakriani Sakti, Satoshi Nakamura, “Cross-lingual speech-based ToBI label generation using bidirectional LSTM,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), May. 2019
• Koichiro Yoshino, Yukitoshi Murase, Nurul Lubis, Kyoshiro Sugiyama, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “Spoken Dialogue Robot for Watching Daily Life of Elderly People,” Spoken Dialogue Robot for Watching Daily Life of Elderly People” In Proceedings of International Workshop on Spoken Dialogue Systems Technology (IWSDS 2019) , Apr. 2019
• Satoshi Nakamura, “Speech and Natural Language Processing for Japanese Language,” Digital revolution for under resourced language in Asia, 2019, Feb. 2019
• Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura, “Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System,” The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, no.arXiv:1811.10728, 2019.1.27
• Ryo Nakamura, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura, “Another Diversity-Promoting Objective Function for Neural Dialogue Generation,” The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, no.arXiv:1811.08100, 27 Jan. 2019
• Hideki Ueda, Naoaki Ono, Masayasu Okochi, Shigehiko Kanaya, Akio Fukumori, “Precise prediction of cleavage site of Alzheimer’s disease relevant γ-secretase from the amino acid sequence by machine learnings,” GIW/ABACBS 2019, Dec. 2019
• ALTAF-UL-AMIN, Mohammad Bozlul Karim, Pingzhao Hu, Naoaki Ono, Shigehiko Kanaya, “Discovery of Inflammatory Bowel Disease-associated miRNAs using a Novel Bipartite Clustering Approach,” GIW/ABACBS-2019, Dec. 2019
• Jieying Hu, 黄　銘, 小野　直亮, Ye Chen-Izu, Leighton T. Izu, 金谷　重彦, “Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model,” 2019 IEEE International Conference on Bioinformatics and Biomedicine, Nov. 2019
• Shaikh Farhad Hossain, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, Alex Ming Huang, Naoaki Ono, “Inter Disease Relations Based on Human Biomarkers by Network Analysis,” The 19th annual IEEE International Conference on Bioinformatics and Bioengineering, Oct. 2019
• Alex Ming Huang, Koshiro Kido, Toshiyo Tamura, Naoaki Ono, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, “Personal heart monitoring system based on non-contact sensing and deep learning,” 2019 International Symposium for Advanced Computing and Information Technology, Aug. 2019
• Koshiro Kido, Naoaki Ono, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, Alex Ming Huang, “The Feasibility of Arrhythmias Detection from a Capacitive ECG Measurement using Convolutional Neural Network,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25 Jul. 2019
• Ikuya Yamada, Shindo Hiroyuki, “Neural Attentive Bag-of-Entities Model for Text Classification ,” Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pp563-573, 3 Nov. 2019
• Tatsuya Hiraoka, Shindo Hiroyuki, Yuji Matsumoto, “Stochastic Tokenization with a Language Model for Neural Text Classification ,” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), 29 Jul. 2019
• Hiroki Teranishi, Shindo Hiroyuki, Yuji Matsumoto, “Decomposed Local Models for Coordinate Structure Parsing ,” In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp3394-3403, 5 Jun. 2019
• Van-Hien Tran, Van-Thuy Phi, Shindo Hiroyuki, Yuji Matsumoto, “Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN ,” In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp2793-2798, 4 Jun. 2019
• Ronen Tamari, Shindo Hiroyuki, Dafna Shahaf, Yuji Matsumoto, “Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text ,” NAACL 2019 Workshop on extracting structured knowledge from scientific publications (ESSP), pp62-71, 6 Jun. 2019
• Yuta Kobayashi, Shindo Hiroyuki, Yuji Matsumoto, “Scientific Article Search System based on Discourse Facet Representation ,” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence, (AAAI-2019), 29 Jan. 2019
• Katsuyuki Kunida, Yuichi Sakumura, “Novel extraction method of molecular activity patterns controlling the cell morphological changes based on reverse correlation analysis,” 58th American Society for Cell Biology Annual Meeting (ASCB2019), 8 Dec. 2019
• Kakeru Kosaka, Kazushi Ikeda, Yuichi Sakumura, “Estimation of intracellular key enzymes by applying machine learning algorithm,” The 20th International Conference on Systems Biology, 2 Nov. 2019
• Shingo Shirone, Mutsumi Miyauchi, Kazuhisa Ouhara, Hidemi Kurihara, Takashi Takata, Hideyuki Hyogo, Toshio Ito, Wosuck Shin, Akiko Tanaka, Kazuo Sato, Kazushi Ikeda, Yuichi Sakumura, “Machine learning diagnosis of multiple liver-related diseases by exhaled breath gas components,” The 20th International Conference on Systems Biology, 2 Nov. 2019
• Yuichi Sakumura, Katsuyuki Kunida, “Extraction of Biomolecular Signals Controlling Complex Behavior of Biological Cells,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2019, 18 Nov. 2019
• Katsuyuki Kunida, Yuichi Sakumura, “Novel extraction method of molecular activity patterns that control cell morphological changes based on reverse correlation analysis,” Proceedings of the SICE Annual Conference 2019, 13 Sep. 2019
• Swarit Jasial, ““Exploring Assay Interference Characteristics of Compounds Present in Screening Data”,” 第6回ケモインフォマティクス秋の学校, 29 Nov. 2019
• Shunsuke Tamura, Tomoyuki Miyano, Kimito Funatsu, “Prediction method for active clifffs using machine learning,” 第6回ケモインフォマティクス秋の学校, 27 Nov. 2019
• Tomoyuki Miyano, ““Evaluation of Different Ligand-Based Virtual Screening Strategies Using 2D/3D Molecular Representations”,” 第6回ケモインフォマティクス秋の学校, 28 Oct. 2019
• Swarit Jasial, “Analysis of Pan-Assay Interference Compounds in Screening Data,” 1st NAIST International Symposium on Data Science, 11 Oct. 2019
• Shinichiro AOSHIMA, Tomoyuki Miyano, Kimito Funatsu, “Soft sensor models for semi-batch reactors using Gaussian Process,” The 18th Asian Pacific Confederation of Chemical Engineering Congress(APCChE), 24 Sep. 2019

2018

• Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura, Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation, International Conference on Neural Information Processing (ICONIP) 2018, 13-16 Dec. 2018, Siem Reap, Cambodia.
• Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Reliability Evaluation of Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 7th Korea-Japan Joint Seminar on PV, P-29, 16-17 Nov. 2018, Seoul, South Korea
• Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Detection of Defective Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 3rd International Workshop on the Sustainable Actions for “Year by Year Aging” under Reliability Investigations in Photovoltaic Modules, P-01, 30-31 Oct. 2018, Tsukuba, Japan
• Nobutaka Wakamatsu, Mohammad Bozlul Karim, Shigehiko Kanaya* and MD. ALTAF-UL-AMIN*, “A Network based approach to predict functions of metabolites,” International Conference of Molecular Genetics, Metabolomics & Integrative Biology, Feb. 2018