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Yuya Sasaki 0001
Person information
- affiliation: Osaka University, Japan
- affiliation (former): Nagoya University, Japan
Other persons with the same name
- Yuya Sasaki 0002 — Brown University, Rhode Island, USA
- Yuya Sasaki 0003 — Kanazawa Institute of Technology, Nonoichi, Ishikawa, Japan
- Yuya Sasaki 0004 — Vanderbilt University, Department of Economics, Nashville, TN, USA
- Yuya Sasaki 0005 — Utah State University, Logan, UT, USA
- Yuya Sasaki 0006 — Waseda University, Japan
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2020 – today
- 2024
- [j19]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
Benchmark for Personalized Federated Learning. IEEE Open J. Comput. Soc. 5: 2-13 (2024) - [c46]Yuya Sasaki, Panagiotis Karras:
Mining Path Association Rules in Large Property Graphs. CIKM 2024: 1994-2003 - [c45]Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara:
SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. DEXA (2) 2024: 201-216 - [i25]Yuya Sasaki, Sohei Tokuno, Haruka Maeda, Osamu Sakura:
Evaluating Fairness Metrics Across Borders from Human Perceptions. CoRR abs/2403.16101 (2024) - [i24]Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher:
Quantifying gendered citation imbalance in computer science conferences. CoRR abs/2408.01900 (2024) - [i23]Yuya Sasaki, Panagiotis Karras:
Mining Path Association Rules in Large Property Graphs (with Appendix). CoRR abs/2408.02029 (2024) - 2023
- [j18]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology. Inf. Syst. 115: 102195 (2023) - [j17]Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka:
Scaling Private Deep Learning with Low-rank and Sparse Gradients. J. Inf. Process. 31: 748-757 (2023) - [c44]Shohei Yamasaki, Yuya Sasaki, Panagiotis Karras, Makoto Onizuka:
Holistic Prediction on a Time-Evolving Attributed Graph. ACL (1) 2023: 13676-13694 - [c43]Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka:
Learned Spatial Data Partitioning. aiDM@SIGMOD 2023: 3:1-3:8 - [c42]Yuya Sasaki, Junya Takayama, Juan Ramón Santana, Shohei Yamasaki, Tomoya Okuno, Makoto Onizuka:
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantander. MDM 2023: 73-80 - [i22]Yusuke Wakuta, Michael Mior, Teruyoshi Zenmyo, Yuya Sasaki, Makoto Onizuka:
NoSQL Schema Design for Time-Dependent Workloads. CoRR abs/2303.16577 (2023) - [i21]Ryuichi Ito, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators. CoRR abs/2303.18042 (2023) - [i20]Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka:
Learned spatial data partitioning. CoRR abs/2306.04846 (2023) - [i19]Seiji Maekawa, Yuya Sasaki, Makoto Onizuka:
Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method. CoRR abs/2306.08274 (2023) - [i18]Yuya Sasaki:
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search. CoRR abs/2308.15734 (2023) - 2022
- [j16]Yuya Sasaki:
A Survey on IoT Big Data Analytic Systems: Current and Future. IEEE Internet Things J. 9(2): 1024-1036 (2022) - [c41]Yuya Sasaki:
Cost-constrained Minimal Steiner Tree Enumeration. CIKM 2022: 4439-4443 - [c40]Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara:
A Performance Study of One-dimensional Learned Cardinality Estimation. DOLAP 2022: 86-90 - [c39]Misato Horiuchi, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
JupySim: Jupyter Notebook Similarity Search System. EDBT 2022: 2:554-2:557 - [c38]Yuya Sasaki, George Fletcher, Makoto Onizuka:
Language-aware Indexing for Conjunctive Path Queries. ICDE 2022: 661-673 - [c37]Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka:
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities. MDM 2022: 119-124 - [c36]Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka:
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs. NeurIPS 2022 - [c35]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GNN Transformation Framework for Improving Efficiency and Scalability. ECML/PKDD (2) 2022: 360-376 - [c34]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
Benchmarking GNNs with GenCAT Workbench. ECML/PKDD (6) 2022: 607-611 - [c33]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
FedMe: Federated Learning via Model Exchange. SDM 2022: 459-467 - [i17]Misato Horiuchi, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
Similarity Search on Computational Notebooks. CoRR abs/2201.12786 (2022) - [i16]Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka:
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs. CoRR abs/2206.09144 (2022) - [i15]Yuya Sasaki, Junya Takayama, Juan Ramón Santana, Shohei Yamasaki, Tomoya Okuno, Makoto Onizuka:
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantander. CoRR abs/2206.10160 (2022) - [i14]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
An Empirical Study of Personalized Federated Learning. CoRR abs/2206.13190 (2022) - [i13]Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka:
Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR abs/2207.02699 (2022) - [i12]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GNN Transformation Framework for Improving Efficiency and Scalability. CoRR abs/2207.12000 (2022) - [i11]Yuya Sasaki:
Path association rule mining. CoRR abs/2210.13136 (2022) - 2021
- [j15]Kei Harada, Yuya Sasaki, Makoto Onizuka:
MISCELA: discovering simultaneous and time-delayed correlated attribute patterns. Distributed Parallel Databases 39(3): 637-664 (2021) - [c32]Yuya Sasaki, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng:
Smart City Data Analysis via Visualization of Correlated Attribute Patterns. EDBT 2021: 650-653 - [c31]Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka:
Adaptive Node Embedding Propagation for Semi-supervised Classification. ECML/PKDD (2) 2021: 417-433 - [i10]Yuya Sasaki:
Cost-constrained Minimal Steiner Tree Enumeration by Binary Decision Diagram. CoRR abs/2104.06696 (2021) - [i9]Yuya Sasaki, Keizo Hori, Daiki Nishihara, Sora Ohashi, Yusuke Wakuta, Kei Harada, Makoto Onizuka, Yuki Arase, Shinji Shimojo, Kenji Doi, Hong-Di He, Zhong-Ren Peng:
Smart City Data Analysis via Visualization of Correlated Attribute Patterns. CoRR abs/2104.06701 (2021) - [i8]Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka:
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities. CoRR abs/2108.07120 (2021) - [i7]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology. CoRR abs/2109.04639 (2021) - [i6]Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
FedMe: Federated Learning via Model Exchange. CoRR abs/2110.07868 (2021) - 2020
- [j14]Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Proximity Preserving Nonnegative Matrix Factorization. J. Inf. Process. 28: 445-452 (2020) - [c30]Hiroto Yamaguchi, Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Makoto Onizuka:
Controlling Internal Structure of Communities on Graph Generator. ASONAM 2020: 937-940 - [c29]Yuya Sasaki:
We do not have Systems for Analysing IoT Big-Data. CIDR 2020 - [c28]Shinya Yamada, Shohei Yamasaki, Tomoya Okuno, Kei Harada, Yuya Sasaki, Makoto Onizuka:
Are Satellite Images Effective for Estimating Land Prices on Deep Neural Network Models? MDM 2020: 304-309 - [c27]Kota Miyake, Yusuke Wakuta, Yuya Sasaki, Makoto Onizuka:
Towards Guaranteeing Global Consistency for Peer-Based Data Integration Architecture. SFDI/LSGDA@VLDB 2020: 187-193 - [i5]Yuya Sasaki, George Fletcher, Makoto Onizuka:
Structural Indexing for Conjunctive Path Queries. CoRR abs/2003.03079 (2020) - [i4]Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka:
Efficient Network Reliability Computation in Uncertain Graphs. CoRR abs/2009.03158 (2020) - [i3]Yuya Sasaki, Yoshiharu Ishikawa, Yasuhiro Fujiwara, Makoto Onizuka:
Sequenced Route Query with Semantic Hierarchy. CoRR abs/2009.03776 (2020)
2010 – 2019
- 2019
- [j13]Yuya Sasaki, Takahiro Hara, Yoshiharu Ishikawa:
Efficient framework for processing top-k queries with replication in mobile ad hoc networks. GeoInformatica 23(4): 591-620 (2019) - [j12]Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Time Series Link Prediction Using NMF. J. Inf. Process. 27: 752-761 (2019) - [c26]Yuya Sasaki, Jiahao Yu, Yoshiharu Ishikawa:
Road Segment Interpolation for Incomplete Road Data. BigComp 2019: 1-8 - [c25]Yasuhito Asano, Dennis-Florian Herr, Yasunori Ishihara, Hiroyuki Kato, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki:
Flexible Framework for Data Integration and Update Propagation: System Aspect. BigComp 2019: 1-5 - [c24]Yasunori Ishihara, Hiroyuki Kato, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki:
Toward BX-Based Architecture for Controlling and Sharing Distributed Data. BigComp 2019: 1-5 - [c23]Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Time Series Link Prediction Using NMF. BigComp 2019: 1-8 - [c22]Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka:
Efficient Network Reliability Computation in Uncertain Graphs. EDBT 2019: 337-348 - [c21]Takumi Matsumoto, Yuya Sasaki, Makoto Onizuka:
Data Slice Search for Local Outlier View Detection: A Case Study in Fashion EC. EDBT/ICDT Workshops 2019 - [c20]Kei Harada, Yuya Sasaki, Makoto Onizuka:
MISCELA: Discovering Correlated Attribute Patterns in Time Series Sensor Data. MDM 2019: 72-80 - 2018
- [c19]Yuya Sasaki, Yoshiharu Ishikawa, Yasuhiro Fujiwara, Makoto Onizuka:
Sequenced Route Query with Semantic Hierarchy. EDBT 2018: 37-48 - [c18]Yuya Sasaki, Takahiro Hara, Yoshiharu Ishikawa:
Top-k Query Processing with Replication Strategy in Mobile Ad Hoc Networks. MDM 2018: 217-226 - [i2]Yasuhito Asano, Soichiro Hidaka, Zhenjiang Hu, Yasunori Ishihara, Hiroyuki Kato, Hsiang-Shang Ko, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki, Toshiyuki Shimizu, Kanae Tsushima, Masatoshi Yoshikawa:
A View-based Programmable Architecture for Controlling and Integrating Decentralized Data. CoRR abs/1803.06674 (2018) - [i1]Yasuhito Asano, Soichiro Hidaka, Zhenjiang Hu, Yasunori Ishihara, Hiroyuki Kato, Hsiang-Shang Ko, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki, Toshiyuki Shimizu, Van-Dang Tran, Kanae Tsushima, Masatoshi Yoshikawa:
Making View Update Strategies Programmable - Toward Controlling and Sharing Distributed Data -. CoRR abs/1809.10357 (2018) - 2017
- [j11]Kento Sugiura, Yoshiharu Ishikawa, Yuya Sasaki:
Grouping Methods for Pattern Matching over Probabilistic Data Streams. IEICE Trans. Inf. Syst. 100-D(4): 718-729 (2017) - [j10]Daichi Amagata, Takahiro Hara, Yuya Sasaki, Shojiro Nishio:
Efficient cluster-based top-k query routing with data replication in MANETs. Soft Comput. 21(15): 4161-4178 (2017) - [c17]Yohei Mizuno, Yuya Sasaki, Makoto Onizuka:
Efficient Data Slice Search for Exceptional View Detection. EDBT/ICDT Workshops 2017 - 2016
- [j9]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Probabilistic nearest neighbor query processing on distributed uncertain data. Distributed Parallel Databases 34(2): 259-287 (2016) - [j8]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Efficient processing of top-k dominating queries in distributed environments. World Wide Web 19(4): 545-577 (2016) - 2015
- [j7]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs. IEEE Access 3: 942-954 (2015) - [j6]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Efficient Multidimensional Top-k Query Processing in Wireless Multihop Networks. Mob. Inf. Syst. 2015: 657431:1-657431:20 (2015) - [c16]Kento Sugiura, Yoshiharu Ishikawa, Yuya Sasaki:
Grouping Methods for Pattern Matching in Probabilistic Data Streams. DASFAA (1) 2015: 92-107 - 2014
- [j5]Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Top-k query processing for replicated data in mobile peer to peer networks. J. Syst. Softw. 92: 45-58 (2014) - [j4]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
k-nearest neighbor search based on node density in MANETs. Mob. Inf. Syst. 10(4): 385-405 (2014) - [j3]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
\(K\) NN Query Processing Methods in Mobile Ad Hoc Networks. IEEE Trans. Mob. Comput. 13(5): 1090-1103 (2014) - [c15]Yuya Sasaki, Wang-Chien Lee, Takahiro Hara, Shojiro Nishio:
SKY R-tree: An Index Structure for Distance-Based Top-k Query. DASFAA (1) 2014: 220-235 - [c14]Yuya Sasaki, Toshimitsu Fujii, Mitsuru Kaji, Takahiro Hara, Shojiro Nishio:
A Negative Location-Based Information Dissemination Method in Mobile Ad Hoc Networks. MDM (2) 2014: 55-60 - [c13]Takuji Tsuda, Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Top-k Query Processing and Malicious Node Identification against Data Replacement Attack in MANETs. MDM (1) 2014: 279-288 - [c12]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
CTR: An Efficient Cluster-based Top-k Query Routing in MANETs. MoMM 2014: 225-234 - 2013
- [j2]Keisuke Goto, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Data gathering using mobile agents for reducing traffic in dense mobile wireless sensor networks. Mob. Inf. Syst. 9(4): 295-314 (2013) - [c11]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks. AINA 2013: 161-168 - [c10]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Processing k Nearest Neighbor Queries for Location-Dependent Data in MANETs. DEXA (2) 2013: 213-227 - [c9]Yuya Sasaki, Wang-Chien Lee, Takahiro Hara, Shojiro Nishio:
On Alleviating Beacon Overhead in Routing Protocols for Urban VANETs. MDM (1) 2013: 66-76 - [c8]Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks. MDM (1) 2013: 251-256 - [c7]Keisuke Goto, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
A Mobile Agents Control Scheme for Multiple Sinks in Dense Mobile Wireless Sensor Networks. MobiQuitous 2013: 52-65 - 2012
- [c6]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Searching K-nearest neighbor nodes based on node density in ad hoc networks. MoMM 2012: 199-207 - 2011
- [c5]Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
A kNN Query Processing Method in Mobile Ad Hoc Networks. Mobile Data Management (1) 2011: 287-288 - [c4]Keisuke Goto, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Data gathering using mobile agents in dense mobile wireless sensor networks. MoMM 2011: 58-65 - [c3]Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
Two-Phase Top-k Query Processing in Mobile Ad Hoc Networks. NBiS 2011: 42-49 - [c2]Toshimitsu Fujii, Mitsuru Kaji, Yuya Sasaki, Takahiro Hara, Shojiro Nishio:
A Flooding Control Method with Ack-carry for Location-Based Information Dissemination in Mobile Ad Hoc Networks. SAINT 2011: 128-135 - 2010
- [j1]Takahiro Hara, Ryo Hagihara, Yuya Sasaki, Masako Shinohara, Shojiro Nishio:
Efficient Top-k Query Processing in Mobile Ad Hoc Networks. Int. J. Next Gener. Comput. 1(2) (2010) - [c1]Yuya Sasaki, Ryo Hagihara, Takahiro Hara, Masako Shinohara, Shojiro Nishio:
A Top-k Query Method by Estimating Score Distribution in Mobile Ad Hoc Networks. AINA Workshops 2010: 944-949
Coauthor Index
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