An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (ICONIP, 2004)

ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (Multiple Classifier Systems, 2005)

An online learning algorithm with dimension selection using minimal hyper basis function networks. - Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (Syst. Comput. Jpn., 2006)

Detecting Concept Drift Using Statistical Testing. - Kyosuke Nishida; Koichiro Yamauchi 001 (Discovery Science, 2007)

Quick online feature selection method for regression -A feature selection method inspired by human behavior-. - Youhei Tadeuchi; Ryuji Oshima; Kyosuke Nishida; Koichiro Yamauchi 001; Takashi Omori (SMC, 2007)

Detecting sudden concept drift with knowledge of human behavior. - Kyosuke Nishida; Shohei Shimada; Satoru Ishikawa; Koichiro Yamauchi 001 (SMC, 2008)

Learning, detecting, understanding, and predicting concept changes. - Kyosuke Nishida; Koichiro Yamauchi 001 (IJCNN, 2009)

Hierarchical auto-tagging: organizing Q&A knowledge for everyone. - Kyosuke Nishida; Ko Fujimura (CIKM, 2010)

Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks. - Yutaka Kabutoya; Kyosuke Nishida; Ko Fujimura (APWeb, 2011)

Improving tweet stream classification by detecting changes in word probability. - Kyosuke Nishida; Takahide Hoshide; Ko Fujimura (SIGIR, 2012)

What is he/she like?: estimating Twitter user attributes from contents and social neighbors. - Jun Ito; Takahide Hoshide; Hiroyuki Toda; Tadasu Uchiyama; Kyosuke Nishida (ASONAM, 2013)

Probabilistic identification of visited point-of-interest for personalized automatic check-in. - Kyosuke Nishida; Hiroyuki Toda; Takeshi Kurashima; Yoshihiko Suhara (UbiComp, 2014)

Demographic and Psychographic Estimation of Twitter Users Using Social Structures. - Jun Ito; Kyosuke Nishida; Takahide Hoshide; Hiroyuki Toda; Tadasu Uchiyama (Online Social Media Analysis and Visualization, 2014)

How fashionable is each street?: Quantifying road characteristics using social media. - Takuya Nishimura 002; Kyosuke Nishida; Hiroyuki Toda; Hiroshi Sawada (ASONAM, 2016)

Deep Feature Extraction from Trajectories for Transportation Mode Estimation. - Yuki Endo 003; Hiroyuki Toda; Kyosuke Nishida; Akihisa Kawanobe (PAKDD (2), 2016)

Classifying spatial trajectories using representation learning. - Yuki Endo 003; Hiroyuki Toda; Kyosuke Nishida; Jotaro Ikedo (Int. J. Data Sci. Anal., 2016)

Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. - Kyosuke Nishida; Kugatsu Sadamitsu; Ryuichiro Higashinaka; Yoshihiro Matsuo (AAAI, 2017)

Hyperspherical Query Likelihood Models with Word Embeddings. - Ryo Masumura; Taichi Asami; Hirokazu Masataki; Kugatsu Sadamitsu; Kyosuke Nishida; Ryuichiro Higashinaka (IJCNLP(2), 2017)

Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization. - Itsumi Saito; Kyosuke Nishida; Kugatsu Sadamitsu; Kuniko Saito; Junji Tomita (IJCNLP(1), 2017)

Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. - Itsumi Saito; Jun Suzuki 001; Kyosuke Nishida; Kugatsu Sadamitsu; Satoshi Kobashikawa; Ryo Masumura; Yuji Matsumoto 001; Junji Tomita (IJCNLP(2), 2017)

Predicting Destinations from Partial Trajectories Using Recurrent Neural Network. - Yuki Endo 003; Kyosuke Nishida; Hiroyuki Toda; Hiroshi Sawada (PAKDD (1), 2017)

Social media knows what road it is: quantifying road characteristics with geo-tagged posts. - Takuya Nishimura 002; Kyosuke Nishida; Hiroyuki Toda; Hiroshi Sawada (Soc. Netw. Anal. Min., 2017)

Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. - Kyosuke Nishida; Itsumi Saito; Atsushi Otsuka; Hisako Asano; Junji Tomita (CIKM, 2018)

Commonsense Knowledge Base Completion and Generation. - Itsumi Saito; Kyosuke Nishida; Hisako Asano; Junji Tomita (CoNLL, 2018)

Automatically Generating Head Nods with Linguistic Information. - Ryo Ishii; Ryuichiro Higashinaka; Kyosuke Nishida; Taichi Katayama; Nozomi Kobayashi; Junji Tomita (HCI (14), 2018)

Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors. - Yuki Saito 001; Yusuke Ijima; Kyosuke Nishida; Shinnosuke Takamichi (ICASSP, 2018)

Natural Language Inference with Definition Embedding Considering Context On the Fly. - Kosuke Nishida; Kyosuke Nishida; Hisako Asano; Junji Tomita (Rep4NLP@ACL, 2018)

Query Expansion with Neural Question-to-Answer Translation for FAQ-based Question Answering. - Atsushi Otsuka; Kyosuke Nishida; Katsuji Bessho; Hisako Asano; Junji Tomita (WWW (Companion Volume), 2018)

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction. - Kosuke Nishida; Kyosuke Nishida; Masaaki Nagata; Atsushi Otsuka; Itsumi Saito; Hisako Asano; Junji Tomita (ACL (1), 2019)

Multi-style Generative Reading Comprehension. - Kyosuke Nishida; Itsumi Saito; Kosuke Nishida; Kazutoshi Shinoda; Atsushi Otsuka; Hisako Asano; Junji Tomita (ACL (1), 2019)

Generalized Large-Context Language Models Based on Forward-Backward Hierarchical Recurrent Encoder-Decoder Models. - Ryo Masumura; Mana Ihori; Tomohiro Tanaka; Itsumi Saito; Kyosuke Nishida; Takanobu Oba (ASRU, 2019)

A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension. - Yasuhito Ohsugi; Itsumi Saito; Kyosuke Nishida; Hisako Asano; Junji Tomita (CoRR, 2019)

Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. - Jun Suzuki 001; Yoshihiko Suhara; Hiroyuki Toda; Kyosuke Nishida (ACM Trans. Spatial Algorithms Syst., 2019)

A Transformer-Based Audio Captioning Model with Keyword Estimation. - Yuma Koizumi; Ryo Masumura; Kyosuke Nishida; Masahiro Yasuda; Shoichiro Saito (INTERSPEECH, 2020)

Unsupervised Domain Adaptation of Language Models for Reading Comprehension. - Kosuke Nishida; Kyosuke Nishida; Itsumi Saito; Hisako Asano; Junji Tomita (LREC, 2020)

Length-controllable Abstractive Summarization by Guiding with Summary Prototype. - Itsumi Saito; Kyosuke Nishida; Kosuke Nishida; Atsushi Otsuka; Hisako Asano; Junji Tomita; Hiroyuki Shindo; Yuji Matsumoto 001 (CoRR, 2020)

Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models. - Itsumi Saito; Kyosuke Nishida; Kosuke Nishida; Junji Tomita (CoRR, 2020)

VisualMRC: Machine Reading Comprehension on Document Images. - Ryota Tanaka; Kyosuke Nishida; Sen Yoshida (AAAI, 2021)

Task-adaptive Pre-training of Language Models with Word Embedding Regularization. - Kosuke Nishida; Kyosuke Nishida; Sen Yoshida (ACL/IJCNLP (Findings), 2021)

Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. - Kosuke Nishida; Kyosuke Nishida; Itsumi Saito; Sen Yoshida (IJCNN, 2021)

Scene-Text Aware Image and Text Retrieval with Dual-Encoder. - Shumpei Miyawaki; Taku Hasegawa; Kyosuke Nishida; Takuma Kato; Jun Suzuki 001 (ACL (student), 2022)

Dialogue Acts Aided Important Utterance Detection Based on Multiparty and Multimodal Information. - Fumio Nihei; Ryo Ishii; Yukiko I. Nakano; Kyosuke Nishida; Ryo Masumura; Atsushi Fukayama; Takao Nakamura (INTERSPEECH, 2022)

Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion. - Yasuhito Ohsugi; Itsumi Saito; Kyosuke Nishida; Sen Yoshida (INTERSPEECH, 2022)

Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions. - Kosuke Nishida; Kyosuke Nishida; Shuichi Nishioka (NAACL-HLT (Findings), 2022)

SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. - Ryota Tanaka; Kyosuke Nishida; Kosuke Nishida; Taku Hasegawa; Itsumi Saito; Kuniko Saito (AAAI, 2023)

Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. - Kosuke Nishida; Naoki Yoshinaga 001; Kyosuke Nishida (EACL, 2023)

DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. - Taku Hasegawa; Kyosuke Nishida; Koki Maeda; Kuniko Saito (EMNLP, 2023)

Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering. - Kosuke Nishida; Naoki Yoshinaga 001; Kyosuke Nishida (PACLIC, 2023)

Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP. - Tsuyoshi Baba; Kosuke Nishida; Kyosuke Nishida (CoRR, 2023)

InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. - Ryota Tanaka; Taichi Iki; Kyosuke Nishida; Kuniko Saito; Jun Suzuki 001 (AAAI, 2024)

Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. - Kosuke Nishida; Kyosuke Nishida; Kuniko Saito (EMNLP, 2024)

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind. - Kazutoshi Shinoda; Nobukatsu Hojo; Kyosuke Nishida; Saki Mizuno; Keita Suzuki; Ryo Masumura; Hiroaki Sugiyama; Kuniko Saito (AAAI, 2025)

GenerativeGUI: Dynamic GUI Generation Leveraging LLMs for Enhanced User Interaction on Chat Interfaces. - Nobukatsu Hojo; Kazutoshi Shinoda; Yoshihiro Yamazaki; Keita Suzuki; Hiroaki Sugiyama; Kyosuke Nishida; Kuniko Saito (CHI Extended Abstracts, 2025)

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. - Ryota Tanaka; Taichi Iki; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Jun Suzuki 001 (CVPR, 2025)

Wavelet-based Positional Representation for Long Context. - Yui Oka; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito (ICLR, 2025)

Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. - Daiki Chijiwa; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Susumu Takeuchi (CoRR, 2025)

Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefixing Improves Theory of Mind in Large Language Models. - Kazutoshi Shinoda; Nobukatsu Hojo; Kyosuke Nishida; Yoshihiro Yamazaki; Keita Suzuki; Hiroaki Sugiyama; Kuniko Saito (CoRR, 2025)