| 2024 | IIWAS | Multi-target Feature Selection Method for Predicting User-Level Psychological Status from Text. | Danmeng Cai, Kei Wakabayashi, Shaoyu Ye |
| 2024 | IIWAS | Active Utterance Collection Based on Multi-armed Bandits for Natural Language Understanding in Dialog Systems. | Rui Yang, Kei Wakabayashi |
| 2023 | IIWAS | Reducing Human Effort in Keyphrase-Based Human-in-the-Loop Topic Models: A Method for Keyphrase Recommendations. | Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi |
| 2021 | HCOMP | Human+AI Crowd Task Assignment Considering Result Quality Requirements. | Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima |
| 2021 | IIWAS | Active Learning for Extracting Technical Terms Covering Multiword Phrases. | Fumimaro Odakura, Koga Kobayashi, Kei Wakabayashi |
| 2021 | IIWAS | Efficient Training Method for Phrase Extraction Models using Natural Language Explanations. | Ryosuke Saito, Koga Kobayashi, Kei Wakabayashi |
| 2021 | IIWAS | Examining Effect of Label Redundancy for Machine Learning using Crowdsourcing. | Ayame Shimizu, Kei Wakabayashi |
| 2020 | HCOMP | Batch Prioritization of Data Labeling Tasks for Training Classifiers. | Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima |
| 2020 | IIWAS | Mitigating Effect of Dictionary Matching Errors in Distantly Supervised Named Entity Recognition. | Koga Kobayashi, Kei Wakabayashi |
| 2020 | IIWAS | Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization. | Yixuan Wu, Kei Wakabayashi |
| 2020 | WWW | Quality-aware Dynamic Task Assignment in Human+AI Crowd. | Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima |
| 2019 | CICLING | Named Entity Recognition by Character-Based Word Classification Using a Domain Specific Dictionary. | Makoto Hiramatsu, Kei Wakabayashi, Jun Harashima |
| 2019 | IIWAS | Estimation Method of L2 Learners' Second Language Ability by using Features in Conversation. | Xinnan Chen, Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi |
| 2019 | IIWAS | Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling. | Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama |
| 2019 | IIWAS | Named entity recognition using point prediction and active learning. | Koga Kobayashi, Kei Wakabayashi |
| 2018 | IIWAS | Extracting time series variation of topic popularity in microblogs. | Satoshi Fukuyama, Kei Wakabayashi |
| 2018 | IIWAS | Segmentation-based Unsupervised Phrase Detection. | Kei Wakabayashi |
| 2018 | SIGIR | Encoder-Decoder Neural Networks for Taxonomy Classification. | Makoto Hiramatsu, Kei Wakabayashi |
| 2017 | CSCW | Automatic Extraction of Discussion based on Sentence Type Estimation. | Yuto Hoshikawa, Kei Wakabayashi |
| 2017 | WSDM | Scalable Algorithm for Probabilistic Overlapping Community Detection. | Kento Nozawa, Kei Wakabayashi |
| 2016 | EMNLP | Nonparametric Bayesian Models for Spoken Language Understanding. | Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano |
| 2016 | IIWAS | Who are growth users?: analyzing and predicting intended Twitter user growth. | Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh |
| 2015 | IIWAS | BUTE: bursty users tagging method estimated by time series data. | Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh |
| 2010 | NLDB | Topology Estimation of Hierarchical Hidden Markov Models for Language Models. | Kei Wakabayashi, Takao Miura |
| 2009 | DaWaK | Data Stream Prediction Using Incremental Hidden Markov Models. | Kei Wakabayashi, Takao Miura |
| 2008 | NLDB | Topics Identification Based on Event Sequence Using Co-occurrence Words. | Kei Wakabayashi, Takao Miura |
| 2007 | NLDB | Identifying Event Sequences Using Hidden Markov Model. | Kei Wakabayashi, Takao Miura |