| 2023 | ICML | Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. | Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami |
| 2021 | ICML | A Differentiable Point Process with Its Application to Spiking Neural Networks. | Hiroshi Kajino |
| 2019 | AAAI | Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. | Kohei Miyaguchi, Hiroshi Kajino |
| 2019 | ICML | Molecular Hypergraph Grammar with Its Application to Molecular Optimization. | Hiroshi Kajino |
| 2018 | ICLR | Neuron as an Agent. | Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo |
| 2017 | ICML | Bidirectional Learning for Time-series Models with Hidden Units. | Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama |
| 2017 | IJCAI | A Functional Dynamic Boltzmann Machine. | Hiroshi Kajino |
| 2016 | ECAI | Link Prediction by Incidence Matrix Factorization. | Sho Yokoi, Hiroshi Kajino, Hisashi Kashima |
| 2015 | PAKDD | Quality Control for Crowdsourced POI Collection. | Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima |
| 2015 | WWW | Active Learning for Multi-relational Data Construction. | Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas |
| 2014 | HCOMP | Quality Control for Crowdsourced Enumeration Tasks. | Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima |
| 2014 | HCOMP | Instance-Privacy Preserving Crowdsourcing. | Hiroshi Kajino, Yukino Baba, Hisashi Kashima |
| 2013 | AAAI | Clustering Crowds. | Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima |
| 2012 | AAAI | A Convex Formulation for Learning from Crowds. | Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima |
| 2012 | HCOMP | Learning from Crowds and Experts. | Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima |