Daichi Amagata

Dr. Daichi Amagata

Assistant Professor at Osaka Univ.

Research interest: Fast algorithms for database, data mining, and machine learning techniques

Contact: amagata.daichi[at]ist.osaka-u.ac.jp

profile

DBLP entry

is here.

Google scholar entry

is here.

Full list including domestic journal/conference papers

is here.

Journals

- Shunya Nishio, Daichi Amagata, and Takahiro Hara.
   Lamps: Location-Aware Moving Top-k Pub/Sub.
   IEEE Transactions on Knowledge and Data Engineering (TKDE), volume xx, number x, pages xxx-xxx, to appear.
- Yiming Tian, Takuya Maekawa, Joseph Korpela, Daichi Amagata, Takahiro Hara, Sakiko Matsumoto, and Ken Yoda.
   Automatic Identification of Differences in Behavioral Co-occurrence between Groups.
   Animal Biotelemetry, volume 9, number 21, 2021.
- Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa.
   A DNN-based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-commerce.
   IEEE Open Journal of the Industrial Electronics Society, pages 194-206, 2020.
   Extended version of ECNLP2019
- Boqi Gao, Takuya Maekawa, Daichi Amagata and Takahiro Hara.
   Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks.
   IEICE Transaction on Communications , E103-B, number 5, May 2020.
- Thilina Madushan Dissanayake, Takuya Maekawa, Daichi Amagata, and Takahiro Hara.
   Detecting Door Events Using a Smartphone via Active Sound Sensing.
   Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, volume 2, number 4, pages 160:1-160:26, December 2018.
- Daichi Amagata, Takahiro Hara, and Makoto Onizuka.
   Space Filling Approach for Distributed Processing of Top-k Dominating Queries.
   IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 30, number 6, pages 1150-1163, June 2018.
- Shuhei Hayashida Daichi Amagata, Takahiro Hara, and Xing Xie.
   Dummy Generation Based on User-Movement Estimation for Location Privacy Protection.
   IEEE Access, volume 6, pages 22958-22969, April 2018.
- Daichi Amagata and Takahiro Hara.
   Mining Top-k Co-Occurrence Patterns across Multiple Streams.
   IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 29, number 10, pages 2249-2262, October 2017.
- Daichi Amagata, Takahiro Hara, Yuya Sasaki, and Shojiro Nishio.
   Efficient Cluster-Based Top-k Query Routing with Data Replication in MANETs.
   Soft Computing, volume 21, number 15, pages 4161-4178, August 2017.
   Extended version of MoMM2014.
- Daichi Amagata and Takahiro Hara.
   A General Framework for MaxRS and MaxCRS Monitoring in Spatial Data Streams.
   ACM Transactions on Spatial Algorithms and Systems (TSAS), volume 3, number 1, pages 1-34, May 2017.
   Extended version of EDBT2016.
- Daichi Amagata, Takahiro Hara, and Shojiro Nishio.
   Sliding Window Top-k Dominating Query Processing over Distributed Data Streams.
   Distributed and Parallel Databases, volume 34, number 4, pages 535-566, December 2016.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   Efficient Processing of Top-k Dominating Queries in Distributed Environments.
   World Wide Web, volume 19, number 4, pages 545-577, July 2016.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   Probabilistic Nearest Neighbor Query Processing on Distributed Uncertain Data.
   Distributed and Parallel Databases, volume 34, number 2, pages 259-287, June 2016.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   Efficient Multi-Dimensional Top-k Query Processing in Wireless Multi-Hop Networks.
   Mobile Information Systems, volume 2015, pages 1-20, 2015.

International Conferences

- Daichi Amagata, Shohei Tsuruoka, Yusuke Arai, and Takahiro Hara.
   Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join.
   Proceeding of the ACM SIGSPATIAL International Conference on Advances in Geographic Information System (SIGSPATIAL) , pages xxx-xxx, 2021.
- Daichi Amagata and Takahiro Hara.
   Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
   Proceeding of the ACM Recommender Systems Conference (RecSys) , pages xx-xx, 2021.
- Yusuke Arai, Daichi Amagata, Sumio Fujita, and Takahiro Hara.
   LGTM: A Fast and Accurate kNN Search Algorithm in High-dimensional Spaces.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 220-231, 2021.
- Daichi Amagata and Takahiro Hara.
   Fast Density-Peaks Clustering: Multicore-based Parallelization Approach.
   Proceeding of the ACM SIGMOD International Conference on Management of Data (SIGMOD) , pages 49-61, 2021.
   Typo corrected version is here.
- Daichi Amagata, Makoto Onizuka, and Takahiro Hara.
   Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach.
   Proceeding of the ACM SIGMOD International Conference on Management of Data (SIGMOD) , pages 36-48, 2021.
   Full version is here.
- Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, and Takahiro Hara.
   Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub.
   Proceeding of the ACM SIGSPATIAL International Conference on Advances in Geographic Information System (SIGSPATIAL) , pages 111-114, 2020.
   Full version is here.
- Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, and Takahiro Hara.
   On the Transferability of Deep Neural Networks for Recommender System.
   Proceeding of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), pages 22-37, 2020.
   The IAL workshop
- Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara.
   Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction.
   Proceeding of the IEEE International Conference on Big Data, pages 5611-5619, 2019.
   The BDTL workshop
- Daichi Amagata and Takahiro Hara.
   Correlation Set Discovery on Time-series Data.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 275-290, 2019.
- Shinya Kato, Daichi Amagata, Shunya Nishio, and Takahiro Hara.
   Discord Monitoring for Streaming Time-series.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 79-94, 2019.
- Naoya Yoshimura, Takuya Maekawa, Daichi Amagata and Takahiro Hara.
   Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks.
   Proceeding of the IEEE International Conference on Distributed Computing Systems (ICDCS) , pages 1983-1993, 2019.
- Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa.
   Behavior Matching between Different Domains based on Canonical Correlation Analysis.
   Proceeding of the Web Conference, pages 361-366, 2019.
   The ECNLP workshop
- Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa.
   Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System.
   Proceeding of the Web Conference, pages 398-403, 2019.
   The ECNLP workshop
- Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara.
   A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting.
   Proceeding of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 274-285, 2019.
   The DLKT workshop
- Daichi Amagata and Takahiro Hara.
   Identifying the Most Interactive Object in Spatial Databases.
   Proceeding of the IEEE International Conference on Data Engineering (ICDE) , pages 1286-1297, 2019.
- Daichi Amagata, Takahiro Hara, and Chuan Xiao.
   Dynamic Set kNN Self-Join.
   Proceeding of the IEEE International Conference on Data Engineering (ICDE) , pages 818-829, 2019.
   IEEE Computer Society Japan Chapter Young Author Award 2020
- Chen Cheng, Takuya Maekawa, Daichi Amagata, and Takahiro Hara.
   Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations.
   Proceeding of the IEEE International Conference on Pervasive Computing and Communications (PerCom) , pages 391-394, 2019.
   Work In Progress Session
- Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara.
   Estimating User Contexts from Mobile Application Usage Histories.
   Proceeding of the International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD) , pages 765-770, 2019.
   Best Student Paper Award
- Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara.
   Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning.
   Proceeding of the IEEE International Conference on Big Data, pages 4762-4767, 2018.
   The BDTL workshop
- Yujia Wang, Chalermpon Kongjit, Takahiro Hara, and Daichi Amagata.
   Developing a Competency-based System to Enhance Knowledge Management Program.
   Proceeding of the International Conference on Awareness Science and Technology (iCAST) , pages 185-190, 2018.
- Shinya Kato, Daichi Amagata, Shunya Nishio, and Takahiro Hara.
   Monitoring Range Motif on Streaming Time-Series.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 251-266, 2018.
- Boqi Gao, Takuya Maekawa, Daichi Amagata and Takahiro Hara.
   Environment-adaptive Malicious Node Detection in MANETs with Ensemble Learning.
   Proceeding of the IEEE International Conference on Distributed Computing Systems (ICDCS) , pages 556-566, 2018.
- Daichi Amagata and Takahiro Hara.
   Mining Top-k Co-Occurrence Patterns across Multiple Streams (Extended abstract).
   Proceeding of the IEEE International Conference on Data Engineering (ICDE) , pages 1747-1748, 2018.
   TKDE Poster Session
- Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, and Takahiro Hara.
   Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing.
   Proceeding of the IEEE International Conference on Pervasive Computing and Communications (PerCom) , pages 500-503, 2018.
   Work In Progress Session
- Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara.
   Preliminary Investigation of Fine-grained Gesture Recognition with Signal Super-resolution.
   Proceeding of the IEEE International Conference on Pervasive Computing and Communications (PerCom) , pages 484-487, 2018.
   Work In Progress Session
   Best WiP paper award
- Yuki Nakayama, Daichi Amagata, and Takahiro Hara.
   Probabilistic MaxRS Queries on Uncertain Data.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 111-119, 2017.
- Shunya Nishio, Daichi Amagata, and Takahiro Hara.
   Geo-Social Keyword Top-k Data Monitoring over Sliding Window.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 409-424, 2017.
- Naoya Taguchi, Daichi Amagata, and Takahiro Hara.
   Geo-social Keyword Skyline Queries.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 425-435, 2017.
- Yuki Nakayama, Daichi Amagata, and Takahiro Hara.
   An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks.
   Proceeding of the International Conference on Database and Expert Systems Applications (DEXA) , pages 37-51, 2016.
- Daichi Amagata and Takahiro Hara.
   Diversified Set Monitoring over Distributed Data Streams.
   Proceeding of the ACM International Conference on Distributed and Event-Based Systems (DEBS) , pages 1-12, 2016.
- Daichi Amagata and Takahiro Hara.
   Monitoring MaxRS in Spatial Data Streams.
   Proceeding of the International Conference on Extending Database Technology (EDBT) , pages 317-328, 2016.
- Yuki Nakayama, Daichi Amagata, Takahiro Hara, and Shojiro Nishio.
   Range-based Continuous Threshold Query Processing in Mobile Ad Hoc Networks.
   Proceeding of the International Conference on Advances in Mobile Computing & Multimedia (MoMM) , pages 169-178, 2015.
- Daichi Amagata, Takahiro Hara, and Shojiro Nishio.
   Distributed Top-k Query Processing on Multi-Dimensional Data with Keywords.
   Proceeding of the International Conference on Scientific and Statistical Database Management (SSDBM) , pages 10:1-10:12, 2015.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   CTR: an Efficient Top-k Query Routing in MANETs.
   Proceeding of the International Conference on Advances in Mobile Computing & Multimedia (MoMM) , pages 225-234, 2014.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks.
   Proceeding of the International Conference on Mobile Data Management (MDM) , pages 251-256, 2013.
- Daichi Amagata, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio.
   A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks.
   Proceeding of the International Conference on Advanced Information Networking and Applications (AINA) , pages 161-168, 2013.