A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (AINA, 2013)

A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (MDM (1), 2013)

CTR: An Efficient Cluster-based Top-k Query Routing in MANETs. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (MoMM, 2014)

Range-based Continuous Threshold Query Processing in Mobile Ad Hoc Networks. - Yuki Nakayama; Daichi Amagata; Takahiro Hara; Shojiro Nishio (MoMM, 2015)

Distributed top-k query processing on multi-dimensional data with keywords. - Daichi Amagata; Takahiro Hara; Shojiro Nishio (SSDBM, 2015)

Efficient Multidimensional Top-k Query Processing in Wireless Multihop Networks. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (Mob. Inf. Syst., 2015)

Diversified set monitoring over distributed data streams. - Daichi Amagata; Takahiro Hara (DEBS, 2016)

An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks. - Yuki Nakayama; Daichi Amagata; Takahiro Hara (DEXA (1), 2016)

Monitoring MaxRS in Spatial Data Streams. - Daichi Amagata; Takahiro Hara (EDBT, 2016)

Probabilistic nearest neighbor query processing on distributed uncertain data. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (Distributed Parallel Databases, 2016)

Sliding window top-k dominating query processing over distributed data streams. - Daichi Amagata; Takahiro Hara; Shojiro Nishio (Distributed Parallel Databases, 2016)

Efficient processing of top-k dominating queries in distributed environments. - Daichi Amagata; Yuya Sasaki 001; Takahiro Hara; Shojiro Nishio (World Wide Web, 2016)

Probabilistic MaxRS Queries on Uncertain Data. - Yuki Nakayama; Daichi Amagata; Takahiro Hara (DEXA (1), 2017)

Geo-Social Keyword Top-k Data Monitoring over Sliding Window. - Shunya Nishio; Daichi Amagata; Takahiro Hara (DEXA (1), 2017)

Geo-Social Keyword Skyline Queries. - Naoya Taguchi; Daichi Amagata; Takahiro Hara (DEXA (1), 2017)

Efficient cluster-based top-k query routing with data replication in MANETs. - Daichi Amagata; Takahiro Hara; Yuya Sasaki 001; Shojiro Nishio (Soft Comput., 2017)

Mining Top-k Co-Occurrence Patterns across Multiple Streams. - Daichi Amagata; Takahiro Hara (IEEE Trans. Knowl. Data Eng., 2017)

A General Framework for MaxRS and MaxCRS Monitoring in Spatial Data Streams. - Daichi Amagata; Takahiro Hara (ACM Trans. Spatial Algorithms Syst., 2017)

Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. - Mori Kurokawa; Hao Niu 001; Kei Yonekawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IEEE BigData, 2018)

Monitoring Range Motif on Streaming Time-Series. - Shinya Kato; Daichi Amagata; Shunya Nishio; Takahiro Hara (DEXA (1), 2018)

Developing a Competency-based System to Enhance Knowledge Management Program. - Yujia Wang; Chalermpon Kongjit; Takahiro Hara; Daichi Amagata (iCAST, 2018)

Environment-Adaptive Malicious Node Detection in MANETs with Ensemble Learning. - Boqi Gao; Takuya Maekawa; Daichi Amagata; Takahiro Hara (ICDCS, 2018)

Mining Top-k Co-Occurrence Patterns across Multiple Streams (Extended Abstract). - Daichi Amagata; Takahiro Hara (ICDE, 2018)

Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing. - Thilina Dissanayake; Takuya Maekawa; Daichi Amagata; Takahiro Hara (PerCom Workshops, 2018)

Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution. - Naoya Yoshimura; Takuya Maekawa; Daichi Amagata; Takahiro Hara (PerCom Workshops, 2018)

Dummy Generation Based on User-Movement Estimation for Location Privacy Protection. - Shuhei Hayashida; Daichi Amagata; Takahiro Hara; Xing Xie 001 (IEEE Access, 2018)

Detecting Door Events Using a Smartphone via Active Sound Sensing. - Thilina Dissanayake; Takuya Maekawa; Daichi Amagata; Takahiro Hara (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Space Filling Approach for Distributed Processing of Top-k Dominating Queries. - Daichi Amagata; Takahiro Hara; Makoto Onizuka (IEEE Trans. Knowl. Data Eng., 2018)

Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. - Kei Yonekawa; Hao Niu 001; Mori Kurokawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IEEE BigData, 2019)

Correlation Set Discovery on Time-Series Data. - Daichi Amagata; Takahiro Hara (DEXA (2), 2019)

Discord Monitoring for Streaming Time-Series. - Shinya Kato; Daichi Amagata; Shunya Nishio; Takahiro Hara (DEXA (1), 2019)

Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. - Naoya Yoshimura; Takuya Maekawa; Daichi Amagata; Takahiro Hara (ICDCS, 2019)

Identifying the Most Interactive Object in Spatial Databases. - Daichi Amagata; Takahiro Hara (ICDE, 2019)

Dynamic Set kNN Self-Join. - Daichi Amagata; Takahiro Hara; Chuan Xiao 001 (ICDE, 2019)

A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. - Kei Yonekawa; Hao Niu 001; Mori Kurokawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (PAKDD (Workshops), 2019)

Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations. - Cheng Chen; Takuya Maekawa; Daichi Amagata; Takahiro Hara (PerCom Workshops, 2019)

Estimating User Contexts from Mobile Application Usage Histories. - Toshimitsu Kamiya; Tatsuya Nakamura; Takuya Maekawa; Daichi Amagata; Takahiro Hara (PerCom Workshops, 2019)

Behavior Matching between Different Domains based on Canonical Correlation Analysis. - Yuan Lyu; Daichi Amagata; Takuya Maekawa; Takahiro Hara; Hao Niu 001; Kei Yonekawa; Mori Kurokawa (WWW (Companion Volume), 2019)

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 001; Kei Yonekawa; Mori Kurokawa (WWW (Companion Volume), 2019)

Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. - Shohei Tsuruoka; Daichi Amagata; Shunya Nishio; Takahiro Hara (SIGSPATIAL/GIS, 2020)

On the Transferability of Deep Neural Networks for Recommender System. - Duc Nguyen 001; Hao Niu 001; Kei Yonekawa; Mori Kurokawa; Chihiro Ono; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IAL@PKDD/ECML, 2020)

Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks. - Boqi Gao; Takuya Maekawa; Daichi Amagata; Takahiro Hara (IEICE Trans. Commun., 2020)

Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks. - Boqi Gao; Daichi Amagata; Takuya Maekawa; Takahiro Hara (J. Inf. Process., 2020)

Approximate Top-k Inner Product Join with a Proximity Graph. - Hayato Nakama; Daichi Amagata; Takahiro Hara (IEEE BigData, 2021)

LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. - Yusuke Arai; Daichi Amagata; Sumio Fujita; Takahiro Hara (DEXA (2), 2021)

Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join. - Daichi Amagata; Shohei Tsuruoka; Yusuke Arai; Takahiro Hara (SIGSPATIAL/GIS, 2021)

Concept Drift Detection with Denoising Autoencoder in Incomplete Data. - Jun Murao; Kei Yonekawa; Mori Kurokawa; Daichi Amagata; Takuya Maekawa; Takahiro Hara (MobiQuitous, 2021)

Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? - Daichi Amagata; Takahiro Hara (RecSys, 2021)

Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. - Daichi Amagata; Takahiro Hara (SIGMOD Conference, 2021)

Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. - Daichi Amagata; Makoto Onizuka; Takahiro Hara (SIGMOD Conference, 2021)

Predicting Next-use Mobile Apps Using App Semantic Representations. - Cheng Chen; Takuya Maekawa; Daichi Amagata; Takahiro Hara (J. Inf. Process., 2021)

Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data. - Daichi Amagata (IEEE Big Data, 2022)

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (IEEE Big Data, 2022)

Retrieving Top-N Weighted Spatial k-cliques. - Ryosuke Taniguchi; Daichi Amagata; Takahiro Hara (IEEE Big Data, 2022)

Efficient Retrieval of Top-k Weighted Spatial Triangles. - Ryosuke Taniguchi; Daichi Amagata; Takahiro Hara (DASFAA (1), 2022)

A Performance Study of One-dimensional Learned Cardinality Estimation. - Yuchen Ji; Daichi Amagata; Yuya Sasaki 001; Takahiro Hara (DOLAP, 2022)

Learned k-NN distance estimation. - Daichi Amagata; Yusuke Arai; Sumio Fujita; Takahiro Hara (SIGSPATIAL/GIS, 2022)

Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. - Kohei Hirata; Daichi Amagata; Sumio Fujita; Takahiro Hara (RecSys, 2022)

Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data. - Ryosuke Taniguchi; Daichi Amagata; Takahiro Hara (IEEE Access, 2022)

HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takuya Maekawa; Takahiro Hara; Kei Yonekawa; Mori Kurokawa (Knowl. Based Syst., 2022)

Cardinality Estimation in Inner Product Space. - Kohei Hirata; Daichi Amagata; Takahiro Hara (IEEE Open J. Comput. Soc., 2022)

Lamps: Location-Aware Moving Top-k Pub/Sub. - Shunya Nishio; Daichi Amagata; Takahiro Hara (IEEE Trans. Knowl. Data Eng., 2022)

Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces. - Daichi Amagata; Makoto Onizuka; Takahiro Hara (VLDB J., 2022)

Diversity Maximization in the Presence of Outliers. - Daichi Amagata (AAAI, 2023)

Learned Spatial Data Partitioning. - Keizo Hori; Yuya Sasaki 001; Daichi Amagata; Yuki Murosaki; Makoto Onizuka (aiDM@SIGMOD, 2023)

User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. - Hao Niu 001; Duc V. Nguyen 001; Kei Yonekawa; Mori Kurokawa; Chihiro Ono; Daichi Amagata; Takuya Maekawa; Takahiro Hara (ICDAR@ICMR, 2023)

Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). - Shunya Nishio; Daichi Amagata; Takahiro Hara (ICDE, 2023)

Approximate Reverse Top-k Spatial-Keyword Queries. - Shunya Nishio; Daichi Amagata; Takahiro Hara (MDM, 2023)

POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN. - Yue Zhao; Yihong Zhang 001; Daichi Amagata; Takahiro Hara (MDM, 2023)

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (PAKDD (3), 2023)

Simpler is Much Faster: Fair and Independent Inner Product Search. - Kazuyoshi Aoyama; Daichi Amagata; Sumio Fujita; Takahiro Hara (SIGIR, 2023)

Fast Algorithm for Embedded Order Dependency Validation. - Daichi Amagata; Alejandro Ramos; Ryo Shirai; Takahiro Hara (SSDBM, 2023)

Categorical Diversity-Aware Inner Product Search. - Kohei Hirata; Daichi Amagata; Sumio Fujita; Takahiro Hara (IEEE Access, 2023)

Fast Algorithm for Embedded Order Dependency Validation (Extended Version). - Alejandro Ramos; Takuya Uemura; Daichi Amagata; Ryo Shirai; Takahiro Hara (CoRR, 2023)

Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis. - Daichi Amagata; Takahiro Hara (ACM Trans. Web, 2023)

Fair k-center Clustering with Outliers. - Daichi Amagata (AISTATS, 2024)

Estimating Visited Stores Through Positive-Unlabeled Learning. - Ryo Shirai; Ryo Imai; Seng Pei Liew; Daichi Amagata; Tsubasa Takahashi 001; Takahiro Hara (DASFAA (7), 2024)

Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data. - Daichi Amagata; Junya Yamada; Yuchen Ji; Takahiro Hara (DEXA (1), 2024)

SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. - Yuchen Ji; Daichi Amagata; Yuya Sasaki 001; Takahiro Hara (DEXA (2), 2024)

Independent Range Sampling on Interval Data. - Daichi Amagata (ICDE, 2024)

Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (SIGIR, 2024)

An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. - Reon Uemura; Daichi Amagata; Takahiro Hara (SISAP, 2024)

Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version). - Daichi Amagata; Junya Yamada; Yuchen Ji; Takahiro Hara (CoRR, 2024)

Independent Range Sampling on Interval Data (Longer Version). - Daichi Amagata (CoRR, 2024)

Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space. - Daichi Amagata; Takahiro Hara (ACM Trans. Knowl. Discov. Data, 2024)

Random Sampling Over Spatial Range Joins. - Daichi Amagata (ICDE, 2025)

Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. - Keito Kido; Daichi Amagata; Takahiro Hara (PAKDD (6), 2025)

How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. - Daichi Amagata; Kazuyoshi Aoyama; Keito Kido; Sumio Fujita (SSDBM, 2025)

Approximate Reverse k-Ranks Queries in High Dimensions. - Daichi Amagata; Kazuyoshi Aoyama; Keito Kido; Sumio Fujita (SSDBM, 2025)

How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. - Daichi Amagata; Kazuyoshi Aoayama; Keito Kido; Sumio Fujita (CoRR, 2025)

Approximate Reverse k-Ranks Queries in High Dimensions. - Daichi Amagata; Kazuyoshi Aoyama; Keito Kido; Sumio Fujita (CoRR, 2025)

PolyCard: A learned cardinality estimator for intersection queries on spatial polygons. - Yuchen Ji; Daichi Amagata; Yuya Sasaki 001; Takahiro Hara (J. Intell. Inf. Syst., 2025)