Publications - LINEヤフーの研究開発

論文誌 (国際)
Measuring Public Concern About COVID-19 Through Search Queries: An Infodemiology Study: Zhiwei Gao (NAIST), Sumio Fujita, Nobuyuki Shimizu, Kongmeng Liew (NAIST), Taichi Murayama (NAIST), Shuntaro Yada (NAIST), Shoko Wakamiya (NAIST), Eiji Aramaki (NAIST); JMIR Public Health and Surveillance (JMIR Public Health and Surveillance); 2021.7.20

その他 (国際)
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models: Tianzi Wang (Johns Hopkins Univ.), Yuya Fujita, Xuankai Chang (Carnegie Mellon Univ.), Shinji Watanabe (Carnegie Mellon Univ.); arXiv.org; 2021.7.20

その他 (国際)
Toward Streaming ASR with Non-Autoregressive Insertion-based Model: Yuya Fujita, Tianzi Wang (Johns Hopkins Univ.), Shinji Watanabe (Carnegie Mellon Univ.), Motoi Omachi; arXiv.org; 2021.7.16

論文誌 (国内)
時系列障害原因分析による推論QoS規則導出手法: 今野賢 (ヤフー株式会社/北陸先端科学技術大学院大学), デファゴクサヴィエ (東京工業大学), 冨田尭 (北陸先端科学技術大学院大学), 井口寧 (北陸先端科学技術大学院大学); 情報処理学会論文誌デジタルプラクティス; 2021.7.15

カンファレンス (国際)
Related Entity Expansion and Ranking Using Knowledge Graph: 赤瀬龍也, 河端洋人, 西田成臣, 田中祐生, 神永環; The 15th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2021); 2021.7.1

ワークショップ (国際)
Improved Parallel WaveGAN with perceptually weighted spectrogram loss: Eunwoo Song (NAVER), Ryuichi Yamamoto, Min-Jae Hwang (NAVER), Jin-Seob Kim (NAVER), Ohsung Kwon (NAVER), Jae-Min Kim (NAVER); 2021 IEEE Spoken Language Technology Workshop (SLT) (SLT 2021); 2021.6.19

カンファレンス (国際)
Improving Land Use Classification using Human Mobility-based Hierarchical Place Embeddings: Toru Shimizu, Takahiro Yabe (Purdue University), Kota Tsubouchi; The 19th International Conference on Pervasive Computing and Communications (PerCom 2021); 2021.6.11

ワークショップ (国際)
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service: Hayato Kobayashi, Hiroaki Taguchi, Yoshimune Tabuchi, Chahine Koleejan, Ken Kobayashi, Soichiro Fujita (Tokyo Institute of Technology), Kazuma Murao (Visits Technologies Inc.), Takeshi Masuyama, Taichi Yatsuka, Manabu Okumura (Tokyo Institute of Technology), Satoshi Sekine (RIKEN AIP); The 9th International Workshop on Natural Language Processing for Social Media (SocialNLP 2021); 2021.6.10

カンファレンス (国際)
Disentangled Speaker and Language Representations Using Mutual Information Minimization and Domain Adaptation for Cross-Lingual TTS: Detai Xin (The University of Tokyo), Tatsuya Komatsu, Shinnosuke Takamichi (The University of Tokyo), Hiroshi Saruwatari (The University of Tokyo); 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
End To End Learning For Convolutive Multi-Channel Wiener Filtering: Masahito Togami; 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
End-to-end ASR to jointly predict transcriptions and linguistic annotations: Motoi Omachi, Yuya Fujita, Shinji Watanabe (Johns Hopkins University), Matthew Wiesner (Johns Hopkins University); The 2021　North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT2021); 2021.6.6

カンファレンス (国際)
Joint Dereverberation and Separation With Iterative Source Steering: Taishi Nakashima (Tokyo Metropolitan University), Robin Scheilbler, Masahito Togami, Nobutaka Ono (Tokyo Metropolitan University); 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
Parallel Waveform Synthesis Based on Generative Adversarial Networks with Voicing-Aware Conditional Discriminators: Ryuichi Yamamoto, Eunwoo Song (NAVER), Min-Jae Hwang (Search Solutions Inc), Jae-Min Kim (NAVER); 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold: Robin Scheilbler, Masahito Togami; 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
Surrogate Source Model Learning for Determined Source Separation: Robin Scheilbler, Masahito Togami; 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

カンファレンス (国際)
TTS-by-TTS: TTS-Driven Data Augmentation for Fast and High-Quality Speech Synthesis: Min-Jae Hwang (Search Solutions Inc), Ryuichi Yamamoto, Eunwoo Song (NAVER), Jae-Min Kim (NAVER); 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021); 2021.6.6

その他 (国内)
Incremental BLE beacon placement optimization for crowd density monitoring applications: YANG ZHEN (Tokyo Institute of Technology), Masato Sugasaki (Tokyo Institute of Technology), Yoshihiro Kawahara (the university of tokyo), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); 情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI); 2021.6.4

カンファレンス (国際)
Toward a Unified Framework for Point Set Registration: Feiran Li (Osaka University), Kent Fujiwara, Yasuyuki Matsushita (Osaka University); The 2021 International Conference on Robotics and Automation (ICRA 2021); 2021.5.30

論文誌 (国際)
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction: Renhe Jiang (The University of Tokyo), Zekun Cai (The University of Tokyo), Zhaonan Wang (The University of Tokyo), Chuang Yang (The University of Tokyo), Zipei Fan (The University of Tokyo), Quanjun Chen (The University of Tokyo), Kota Tsubouchi, Xuan Song (The University of Tokyo), Ryosuke Shibasaki (The University of Tokyo); IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE); 2021.5.20

カンファレンス (国際)
BanditRank: Learning to Rank Using Contextual Bandits: Phanideep Gampa (IIT Varanasi), Sumio Fujita; the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021); 2021.5.11