| 2026 | MDM | Duration-Constrained Interval Joins. | Naoya Ehara, Daichi Amagata |
| 2025 | ICDE | Random Sampling Over Spatial Range Joins. | Daichi Amagata |
| 2025 | PAKDD | Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. | Keito Kido, Daichi Amagata, Takahiro Hara |
| 2025 | SSDBM | How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. | Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita |
| 2025 | SSDBM | Approximate Reverse k-Ranks Queries in High Dimensions. | Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita |
| 2024 | AISTATS | Fair k-center Clustering with Outliers. | Daichi Amagata |
| 2024 | DASFAA | Estimating Visited Stores Through Positive-Unlabeled Learning. | Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara |
| 2024 | DEXA | Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data. | Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara |
| 2024 | DEXA | SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. | Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara |
| 2024 | ICDE | Independent Range Sampling on Interval Data. | Daichi Amagata |
| 2024 | SIGIR | Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. | Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa |
| 2024 | SISAP | An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. | Reon Uemura, Daichi Amagata, Takahiro Hara |
| 2023 | AAAI | Diversity Maximization in the Presence of Outliers. | Daichi Amagata |
| 2023 | ICDE | Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). | Shunya Nishio, Daichi Amagata, Takahiro Hara |
| 2023 | MDM | Approximate Reverse Top-k Spatial-Keyword Queries. | Shunya Nishio, Daichi Amagata, Takahiro Hara |
| 2023 | MDM | POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN. | Yue Zhao, Yihong Zhang, Daichi Amagata, Takahiro Hara |
| 2023 | PAKDD | Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. | Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa |
| 2023 | SIGIR | Simpler is Much Faster: Fair and Independent Inner Product Search. | Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2023 | SSDBM | Fast Algorithm for Embedded Order Dependency Validation. | Daichi Amagata, Alejandro Ramos, Ryo Shirai, Takahiro Hara |
| 2022 | DASFAA | Efficient Retrieval of Top-k Weighted Spatial Triangles. | Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara |
| 2022 | DOLAP | A Performance Study of One-dimensional Learned Cardinality Estimation. | Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara |
| 2022 | RecSys | Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. | Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2021 | DEXA | LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. | Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2021 | Mobiquitous | Concept Drift Detection with Denoising Autoencoder in Incomplete Data. | Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara |
| 2021 | RecSys | Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? | Daichi Amagata, Takahiro Hara |
| 2021 | SIGMOD | Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. | Daichi Amagata, Takahiro Hara |
| 2021 | SIGMOD | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. | Daichi Amagata, Makoto Onizuka, Takahiro Hara |
| 2019 | DEXA | Correlation Set Discovery on Time-Series Data. | Daichi Amagata, Takahiro Hara |
| 2019 | DEXA | Discord Monitoring for Streaming Time-Series. | Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara |
| 2019 | ICDCS | Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. | Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2019 | ICDE | Identifying the Most Interactive Object in Spatial Databases. | Daichi Amagata, Takahiro Hara |
| 2019 | ICDE | Dynamic Set kNN Self-Join. | Daichi Amagata, Takahiro Hara, Chuan Xiao |
| 2019 | PAKDD | A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. | Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara |
| 2019 | PERCOM | Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations. | Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2019 | PERCOM | Estimating User Contexts from Mobile Application Usage Histories. | Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2019 | WWW | Behavior Matching between Different Domains based on Canonical Correlation Analysis. | Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa |
| 2019 | WWW | Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. | Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa |
| 2018 | DEXA | Monitoring Range Motif on Streaming Time-Series. | Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara |
| 2018 | ICDCS | Environment-Adaptive Malicious Node Detection in MANETs with Ensemble Learning. | Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2018 | ICDE | Mining Top-k Co-Occurrence Patterns across Multiple Streams (Extended Abstract). | Daichi Amagata, Takahiro Hara |
| 2018 | PERCOM | Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing. | Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2018 | PERCOM | Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution. | Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2017 | DEXA | Probabilistic MaxRS Queries on Uncertain Data. | Yuki Nakayama, Daichi Amagata, Takahiro Hara |
| 2017 | DEXA | Geo-Social Keyword Top-k Data Monitoring over Sliding Window. | Shunya Nishio, Daichi Amagata, Takahiro Hara |
| 2017 | DEXA | Geo-Social Keyword Skyline Queries. | Naoya Taguchi, Daichi Amagata, Takahiro Hara |
| 2016 | DEXA | An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks. | Yuki Nakayama, Daichi Amagata, Takahiro Hara |
| 2016 | EDBT | Monitoring MaxRS in Spatial Data Streams. | Daichi Amagata, Takahiro Hara |
| 2015 | MOMM | Range-based Continuous Threshold Query Processing in Mobile Ad Hoc Networks. | Yuki Nakayama, Daichi Amagata, Takahiro Hara, Shojiro Nishio |
| 2015 | SSDBM | Distributed top-k query processing on multi-dimensional data with keywords. | Daichi Amagata, Takahiro Hara, Shojiro Nishio |
| 2014 | MOMM | CTR: An Efficient Cluster-based Top-k Query Routing in MANETs. | Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio |
| 2013 | AINA | A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks. | Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio |
| 2013 | MDM | A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks. | Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio |