| 2025 | SISAP | Double Filtering Using Short and Long Quantized Projections. | Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2024 | ICPRAM | Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. | Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2024 | ICPRAM | Fast Filtering by Conjunctive Enumeration of Sketches for Nearest Neighbor Search. | Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2022 | ICPRAM | Nearest-neighbor Search from Large Datasets using Narrow Sketches. | Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2020 | SISAP | Pivot Selection for Narrow Sketches by Optimization Algorithms. | Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2019 | ICPRAM | Fast Nearest Neighbor Search with Narrow 16-bit Sketch. | Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara |
| 2019 | ICPRAM | Annealing by Increasing Resampling. | Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2019 | ICPRAM | Annealing by Increasing Resampling in the Unified View of Simulated Annealing. | Yasunobu Imamura, Naoya Higuchi, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2018 | ICPRAM | Nearest Neighbor Search using Sketches as Quantized Images of Dimension Reduction. | Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara |
| 2016 | SISAP | Fast Hilbert Sort Algorithm Without Using Hilbert Indices. | Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2015 | ICPRAM | High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree. | Yohei Nasu, Naoki Kishikawa, Kei Tashima, Shin Kodama, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama |
| 2010 | ICCSA | Accelerating Video Identification by Skipping Queries with a Compact Metric Cache. | Takaaki Aoki, Daisuke Ninomiya, Arnoldo Jos Mller Molina, Takeshi Shinohara |
| 2010 | ICCSA | On the Configuration of the Similarity Search Data Structure D-Index for High Dimensional Objects. | Arnoldo Jos Mller Molina, Takeshi Shinohara |
| 2009 | VLDB | Towards Low Carbon Similarity Search with Compressed Sketches. | Arnoldo Jos Mller Molina, Takeshi Shinohara |
| 2009 | SISAP | Efficient Similarity Search by Reducing I/O with Compressed Sketches. | Arnoldo Jos Mller Molina, Takeshi Shinohara |
| 2008 | PAKDD | A Tree Distance Function Based on Multi-sets. | Arnoldo Jos Mller Molina, Kouichi Hirata, Takeshi Shinohara |
| 2007 | SCAM | Fast Approximate Matching of Programs for Protecting Libre/Open Source Software by Using Spatial Indexes. | Arnoldo Jos Mller Molina, Takeshi Shinohara |
| 2006 | PAKDD | Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations. | Yen Kaow Ng, Takeshi Shinohara |
| 2005 | ALT | Inferring Unions of the Pattern Languages by the Most Fitting Covers. | Yen Kaow Ng, Takeshi Shinohara |
| 2005 | DIS | Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. | Yen Kaow Ng, Hirotaka Ono, Takeshi Shinohara |
| 2002 | SPIRE | Processing Text Files as Is: Pattern Matching over Compressed Texts, Multi-byte Character Texts, and Semi-structured Texts. | Masayuki Takeda, Satoru Miyamoto, Takuya Kida, Ayumi Shinohara, Shuichi Fukamachi, Takeshi Shinohara, Setsuo Arikawa |
| 2001 | DIS | An Efficient Derivation for Elementary Formal Systems Based on Partial Unification. | Noriko Sugimoto, Hiroki Ishizaka, Takeshi Shinohara |
| 2001 | SPIRE | Speed-up of Aho-Corasick Pattern Matching Machines by Rearranging States. | T. Nishimura, Shuichi Fukamachi, Takeshi Shinohara |
| 2000 | CIAC | Speeding Up Pattern Matching by Text Compression. | Yusuke Shibata, Takuya Kida, Shuichi Fukamachi, Masayuki Takeda, Ayumi Shinohara, Takeshi Shinohara, Setsuo Arikawa |
| 2000 | CSCW | Collaboration with Lean Media: how open-source software succeeds. | Yutaka Yamauchi, Makoto Yokozawa, Takeshi Shinohara, Toru Ishida |
| 2000 | EJC | Speed-Up of Approximate String Matching Using Lossy Compression. | Shuichi Fukamachi, Takeshi Shinohara |
| 1999 | DIS | H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data. | Takeshi Shinohara, Jianping Chen, Hiroki Ishizaka |
| 1998 | DIS | Approximate Retrieval of High-Dimensional Data by Spatial Indexing. | Takeshi Shinohara, Jiyuan An, Hiroki Ishizaka |
| 1996 | ALT | Inductive Inference of Unbounded Unions of Pattern Languages from Positive Data. | Takeshi Shinohara, Hiroki Arimura |
| 1995 | ALT | Learning Unions of Tree Patterns Using Queries. | Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara |
| 1995 | ALT | Editor's Introduction. | Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann |
| 1995 | ISMB | BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences. | Takayoshi Shoudai, Michael Lappe, Satoru Miyano, Ayumi Shinohara, Takeo Okazaki, Setsuo Arikawa, Tomoyuki Uchida, Shinichi Shimozono, Takeshi Shinohara, Satoru Kuhara |
| 1994 | ALT | Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries. | Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara |
| 1994 | STACS | Finding Minimal Generalizations for Unions of Pattern Languages and Its Application to Inductive Inference from Positive Data. | Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki |
| 1992 | ALT | Efficient Inductive Inference of Primitive Prologs from Positive Data. | Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara |
| 1992 | COLT | Polynomial Time Inference of a Subclass of Context-Free Transformations. | Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara |
| 1991 | ALT | Polynomial-time inference of unions of tree pattern languages. | Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki |
| 1991 | ALT | Which classes of elementary formal systems are polynomial-time learnable. | Satoru Miyano, Ayumi Shinohara, Takeshi Shinohara |
| 1991 | COLT | The Correct Definition of Finite Elasticity: Corrigendum to Identification of Unions. | Tatsuya Motoki, Takeshi Shinohara, Keith Wright |
| 1990 | ALT | Inductive Inference of Monotonic Formal Systems from Positive Data. | Takeshi Shinohara |
| 1990 | COLT | Inductive Inference from Positive Data is Powerful. | Takeshi Shinohara |
| 1989 | COLT | Elementary Formal System as a Unifying Framework for Language Learning. | Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto |
| 1986 | ICDE | Efficient Storage and Retrieval of Very Large Document Databases. | Fumihiro Matsuo, Shouichi Futamura, Takeshi Shinohara |