| 2026 | DASFAA | Retrieval-Augmented Diffusion Language Model for Generative Commonsense Reasoning. | Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita |
| 2026 | ICTIR | Towards Adaptive and Retriever-friendly Retrieval-augmented Generation via Reinforcement Learning. | Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita |
| 2026 | ICTIR | Model Merging as an Alternative to Fine-Tuning on Combined Data for a Multi-Domain Dense Retriever. | Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita |
| 2025 | CIKM | Effect of Model Merging in Domain-Specific Ad-hoc Retrieval. | Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita |
| 2025 | IIWAS | Learning Disentangled Document Representations Based on a Classical Shallow Neural Encoder. | Yuro Kanada, Sumio Fujita, Yoshiyuki Shoji |
| 2025 | SSDBM | How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. | Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita |
| 2025 | SSDBM | Approximate Reverse k-Ranks Queries in High Dimensions. | Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita |
| 2024 | CIKM | Over-penalization for Extra Information in Neural IR Models. | Kota Usuha, Makoto P. Kato, Sumio Fujita |
| 2024 | WISE | PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation Without Target Domain Data. | Takumi Ito, Atsuki Maruta, Makoto P. Kato, Sumio Fujita |
| 2023 | IIWAS | Generating Fine-Grained Aspect Names from Movie Review Sentences Using Generative Language Model. | Tomohiro Ishii, Yoshiyuki Shoji, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita, Martin J. Drst |
| 2023 | IIWAS | Movie Keyword Search Using Large-Scale Language Model with User-Generated Rankings and Reviews. | Tensho Miyashita, Yoshiyuki Shoji, Sumio Fujita, Martin J. Drst |
| 2023 | SIGIR | Simpler is Much Faster: Fair and Independent Inner Product Search. | Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2022 | CIKM | Selectively Expanding Queries and Documents for News Background Linking. | Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu |
| 2022 | DBSEC | Mitigating Privacy Vulnerability Caused by Map Asymmetry. | Ryota Hiraishi, Masatoshi Yoshikawa, Shun Takagi, Yang Cao, Sumio Fujita, Hidehito Gomi |
| 2022 | ICTIR | Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles? | Rei Shimizu, Sumio Fujita, Tetsuya Sakai |
| 2022 | RecSys | Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. | Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2021 | DEXA | LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. | Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2021 | ECIR | How Do Users Revise Zero-Hit Product Search Queries? | Yuki Amemiya, Tomohiro Manabe, Sumio Fujita, Tetsuya Sakai |
| 2021 | IIWAS | What Makes a Review Encouraging: Feature Analysis of User Access Logs in a Large-scale Online Movie Review Site. | Kakeru Ito, Yoshiyuki Shoji, Sumio Fujita, Martin J. Drst |
| 2021 | IIWAS | Doc2Vec-based Approach for Extracting Diverse Evaluation Expressions from Online Review Data. | Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Drst |
| 2021 | IIWAS | Learning to Rank-based Approach for Movie Search by Keyword Query and Example Query. | Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Drst |
| 2021 | PAKDD | BanditRank: Learning to Rank Using Contextual Bandits. | Phanideep Gampa, Sumio Fujita |
| 2020 | CIKM | What Rankers Can be Statistically Distinguished in Multileaved Comparisons? | Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita, Takehiro Yamamoto |
| 2020 | IIWAS | Augmentation of Local Government FAQs using Community-based Question-answering Data. | Yohei Seki, Masaki Oguni, Sumio Fujita |
| 2019 | AAAI | Stochastic Submodular Maximization with Performance-Dependent Item Costs. | Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi |
| 2019 | CIKM | Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms. | Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita |
| 2019 | IIWAS | Target-Topic Aware Doc2Vec for Short Sentence Retrieval from User Generated Content. | Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Drst |
| 2018 | AAAI | AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. | Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima |
| 2018 | CIKM | Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task. | Makoto P. Kato, Tomohiro Manabe, Sumio Fujita, Akiomi Nishida, Takehiro Yamamoto |
| 2018 | CIKM | Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search. | Takehiro Yamamoto, Yusuke Yamamoto, Sumio Fujita |
| 2018 | DEXA | Boosting PageRank Scores by Optimizing Internal Link Structure. | Naoto Ohsaka, Tomohiro Sonobe, Naonori Kakimura, Takuro Fukunaga, Sumio Fujita, Ken-ichi Kawarabayashi |
| 2018 | ICTIR | Classifying Community QA Questions That Contain an Image. | Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda, Tetsuya Sakai |
| 2017 | CICLING | Text Similarity Function Based on Word Embeddings for Short Text Analysis. | Adrin Jimnez Pascual, Sumio Fujita |
| 2017 | IJCAI | Online Optimization of Video-Ad Allocation. | Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga |
| 2017 | IJCNLP | Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering. | Kaustubh Kulkarni, Riku Togashi, Hideyuki Maeda, Sumio Fujita |
| 2017 | ICTIR | Mobile Vertical Ranking based on Preference Graphs. | Yuta Kadotami, Yasuaki Yoshida, Sumio Fujita, Tetsuya Sakai |
| 2017 | PAKDD | Scalable Twitter User Clustering Approach Boosted by Personalized PageRank. | Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita |
| 2017 | WWW | Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling. | Vibhor Kanojia, Hideyuki Maeda, Riku Togashi, Sumio Fujita |
| 2017 | WWW | Euclidean Image Embedding in view of Similarity Ranking in Auction Search by Image. | Riku Togashi, Hideyuki Maeda, Vibhor Kanojia, Kousuke Morimoto, Sumio Fujita |
| 2017 | SIGIR | LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency. | Sosuke Kato, Riku Togashi, Hideyuki Maeda, Sumio Fujita, Tetsuya Sakai |
| 2017 | SIGIR | A Comparative Live Evaluation of Multileaving Methods on a Commercial cQA Search. | Tomohiro Manabe, Akiomi Nishida, Makoto P. Kato, Takehiro Yamamoto, Sumio Fujita |
| 2017 | SIGMOD | Coarsening Massive Influence Networks for Scalable Diffusion Analysis. | Naoto Ohsaka, Tomohiro Sonobe, Sumio Fujita, Ken-ichi Kawarabayashi |
| 2016 | WSDM | Extracting Search Query Patterns via the Pairwise Coupled Topic Model. | Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi |
| 2012 | CIKM | Semantics of query rewriting patterns in search logs. | Sumio Fujita, Georges Dupret, Ricardo Baeza-Yates |
| 2010 | SPIRE | Using Related Queries to Improve Web Search Results Ranking. | Georges Dupret, Ricardo Zilleruelo-Ramos, Sumio Fujita |