| 2026 | DASFAA | Adaptive GPU Compute Resource Allocation for Efficient High-Utility Itemset Mining. | Tarun Sreepada, Tsuyoshi Ozawa, Genki Kimura, Uday Kiran Rage, Kazuo Goda |
| 2026 | DEXA | Improving IO Efficiency for Storage-Scale Approximate Nearest Neighbor Search. | Guoxing Wu, Tsuyoshi Ozawa, Yuto Hayamizu, Kazuo Goda |
| 2026 | DEXA | Scalable Concurrency Control for R-Trees on Three-Tier Storage with PMEM. | Hirotaka Yoshioka, Kazuo Goda, Masaru Kitsuregawa |
| 2025 | DEXA | Incremental k-Anonymization for Continuously Growing Big Databases. | Akifumi Kurumatani, Hiromasa Yoshimoto, Kazuo Goda |
| 2025 | SIGMOD | anagodb: Offering Massive Parallelism for Database Engine. | Yuto Hayamizu, Ryoji Kawamichi, Tsuyoshi Ozawa, Masaru Kitsuregawa, Kazuo Goda |
| 2025 | SIGMOD | Dynamic Pruning for Recursive Joins. | Norifumi Nishikawa, Akira Shimizu, Akira Ito, Shinji Fujiwara, Yuto Hayamizu, Masaru Kitsuregawa, Kazuo Goda |
| 2024 | ICDE | LakeHarbor: Making Structures First-Class Citizens in Data Lakes. | Hiroyuki Yamada, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | ICDE | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | ICDE | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | ICDE | Nested Loops Revisited Again. | Hiroyuki Yamada, Kazuo Goda, Masaru Kitsuregawa |
| 2022 | DASFAA | μ-join: Efficient Join with Versioned Dimension Tables. | Mika Takata, Kazuo Goda, Masaru Kitsuregawa |
| 2022 | DEXA | Exploiting Embedded Synopsis for Exact and Approximate Query Processing. | Hiroki Yuasa, Kazuo Goda, Masaru Kitsuregawa |
| 2020 | DEXA | PhoeniQ: Failure-Tolerant Query Processing in Multi-node Environments. | Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa |
| 2019 | ICDE | A Prescription Trend Analysis using Medical Insurance Claim Big Data. | Kazutoshi Umemoto, Kazuo Goda, Naohiro Mitsutake, Masaru Kitsuregawa |
| 2018 | DEXA | Modeling Query Energy Costs in Analytical Database Systems with Processor Speed Scaling. | Boming Luo, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa |
| 2016 | DEXA | Aging Locality Awareness in Cost Estimation for Database Query Optimization. | Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa |
| 2015 | IDEAS | An Experimental Study of Aging Influence on Query Cost Estimation. | Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa |
| 2013 | SAC | Modeling I/O interference for data intensive distributed applications. | Sven Groot, Kazuo Goda, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa |
| 2011 | SAC | Towards improved load balancing for data intensive distributed computing. | Sven Groot, Kazuo Goda, Masaru Kitsuregawa |
| 2009 | DEXA | Evaluating Non-In-Place Update Techniques for Flash-Based Transaction Processing Systems. | Yongkun Wang, Kazuo Goda, Masaru Kitsuregawa |
| 2008 | USENIX | Power-aware Remote Replication for Enterprise-level Disaster Recovery Systems. | Kazuo Goda, Masaru Kitsuregawa |
| 2005 | ICDE | A Study on Performance Analysis of Structural Deterioration for RDBMS. | Takashi Hoshino, Kazuo Goda, Masaru Kitsuregawa |
| 2003 | DEXA | Effective Load-Balancing via Migration and Replication in Spatial Grids. | Anirban Mondal, Kazuo Goda, Masaru Kitsuregawa |
| 2002 | DEXA | Run-Time Load Balancing System on SAN-connected PC Cluster for Dynamic Injection of CPU and Disk Resource - A Case Study of Data Mining Application. | Kazuo Goda, Takayuki Tamura, Masato Oguchi, Masaru Kitsuregawa |
| 2001 | SIGIR | Query Optimization for Vector Space Problems. | Kazuo Goda, Masaru Kitsuregawa, Takayuki Tamura, Ophir Frieder, Abdur Chowdhury |