News
12月 11, 2022
Our paper was accepted: Kejing Lu, Yoshiharu Ishikawa, Chuan Xiao. MQH: Locality Sensitive Hashing on Multi-level Quantization Errors for Point-to-Hyperplane Distances. PVLDB
11月 22, 2022
佐々木助教が人工知能学会 第122回人工知能基本問題研究会 にて「大規模グラフと公平性」という題目で招待講演を行いました．
11月 18, 2022
Our paper was accepted: Si-qing Xu, Hong-di He, Ming-ke Yang, Cui-lin Wu, Xing-hang Zhu, Zhong-ren Peng, Yuya Sasaki, Kenji Doi , Shinji Shimojo, To what extent the traffic restriction policies can improve its air quality? An inspiration from COVID-19, Stochastic Environmental Research and Risk Assessment
11月 10, 2022
2022年12月9日 (金) 13:00 よりZoomを利用して研究室紹介を行います．参加を希望する方は事前にご連絡をお願いいたします．詳細についてはお問い合わせください．
10月 13, 2022
松田（M2），佐々木助教，肖准教授，鬼塚教授の論文が日本データベース学会和文論文誌に採択されました．論文タイトル：モデル構造の自動チューニングを用いたパーソナライズド連合学習手法
10月 10, 2022
Our paper was accepted: Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman and Estevam Hruschka. Low-resource Interactive Active Labeling for Fine-tuning Language Models, Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP2022), December 2022
10月 7, 2022
Our paper was accepted: Y. Arase, S. Uchida, and T. Kajiwara. CEFR-based Sentence Difficulty Annotation and Assessment, in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP2022) (Dec. 2022 to appear).
9月 28, 2022
Our paper was accepted: Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka, Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs, Datasets and Benchmarks Track of NeurIPS2022
9月 15, 2022
2022/9/13 佐々木助教が FIT2022 にて「化学，都市工学，医学における共同研究」という題目で招待講演を行いました．
8月 18, 2022
Our paper was accepted: Yuya Sasaki, Cost-constrained Minimal Steiner Tree Enumeration, CIKM2022
7月 20, 2022
Yuya Sasaki gave invited talks entitled "Path search on graphs" and "On discovering discriminatory bias in graphs" at the Aarhus workshop on Graph Access and Analysis held at Aarhus University (Denmark)
6月 28, 2022
Our paper was accepted: Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka, Benchmarking GNNs with GenCAT Workbench, Demo track of the ECML/PKDD2022
6月 16, 2022
Our paper was accepted: Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka, GNN Transformation Framework for Improving Efficiency and Scalability, ECML/PKDD2022
6月 16, 2022
鬼塚教授がレンヌ大学（フランス）で開催された Summer school on Big Data and security monitoring にて「Analytical query optimization: distributed processing, graph mining, and applications」という題目で招待講演を行いました．
3月 29, 2022
Our paper was accepted: Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka, AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities, MDM2022
3月 16, 2022
Our paper was accepted: Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka, FedMe: Federated Learning via Model Exchange., SDM22
3月 15, 2022
2021年3月19日 (土) 13:00 よりオンライン（Zoom）で研究室紹介を行います．参加を希望する方は事前にご連絡お願い致します．詳細についてはお問い合わせください．
3月 10, 2022
Our paper was accepted: Yuya Sasaki, A Performance Study of One-dimensional Learned Cardinality Estimation, DOLAP
3月 9, 2022
Our paper was accepted: Misato Horiuchi, Yuya Sasaki, Chuan Xiao, Makoto Onizuka, JupySim: Jupyter Notebook Similarity Search System, EDBT2022
3月 9, 2022
堀（M2），佐々木助教，鬼塚教授の論文が日本データベース学会和文論文誌に採択されました．論文タイトル：深層強化学習を用いた空間データパーティションニング手法の提案