News
December 1, 2025
A work by our lab members got accepted at Legal Knowledge and Information Systems (JURIX)!
Authors: Yuntao Kong, Ye Xiong, Shuyuan Zheng, Ken Satoh
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
Authors: Yuntao Kong, Ye Xiong, Shuyuan Zheng, Ken Satoh
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
December 1, 2025
A work by our lab members got accepted at Neural Information Processing Systems (NeurIPS)!
Authors: Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Title: Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Authors: Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Title: Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
December 1, 2025
A work by our lab members got accepted at Proceedings of the VLDB Endowment (PVLDB)!
Authors: Marcelo Arenas, Enrico Franconi, Janik Hammerer, Olaf Hartig, Katja Hose, Laura Koesten, George Konstantinidis, Leonid Libkin, Wim Martens, Yuya Sasaki, Stefanie Scherzinger, Katherine Thornton, Hsiang-Yun Wu
Title: Exploring Exploratory Querying
Authors: Marcelo Arenas, Enrico Franconi, Janik Hammerer, Olaf Hartig, Katja Hose, Laura Koesten, George Konstantinidis, Leonid Libkin, Wim Martens, Yuya Sasaki, Stefanie Scherzinger, Katherine Thornton, Hsiang-Yun Wu
Title: Exploring Exploratory Querying
December 1, 2025
A work by our lab members got accepted at Proceedings of the VLDB Endowment (PVLDB)!
Authors: Konstantinos Skitsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras
Title: Mix & Match: Subgraph Matching for Absolute Coverage
Authors: Konstantinos Skitsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras
Title: Mix & Match: Subgraph Matching for Absolute Coverage
November 1, 2025
A work by our lab member(s) got accepted at Journal of Intelligent Information Systems!
Author(s): Takahiro Yanase, Shuzo Hamamoto, Rei Unno, Steffi Kar Kei Yuen, Vineet Gauhar, Bhaskar K Somani, Olivier Traxer, Yuya Sasaki, Ryosuke Chaya, Atsushi Okada, Kazumi Taguchi, Takahiro Yasui
Title: Establishing an AI-based artifact correction system for intrarenal pressure monitoring using the LithoVue™ Elite ureteroscope: an EAU endourology and AUSET collaboration
Author(s): Takahiro Yanase, Shuzo Hamamoto, Rei Unno, Steffi Kar Kei Yuen, Vineet Gauhar, Bhaskar K Somani, Olivier Traxer, Yuya Sasaki, Ryosuke Chaya, Atsushi Okada, Kazumi Taguchi, Takahiro Yasui
Title: Establishing an AI-based artifact correction system for intrarenal pressure monitoring using the LithoVue™ Elite ureteroscope: an EAU endourology and AUSET collaboration
November 1, 2025
A work by our lab member(s) got accepted at Conference on Empirical Methods in Natural Language Processing (EMNLP)!
Author(s): Junkai Liu, Yujie Tong, Hui Huang, Bowen Zheng, Yiran Hu, Peicheng Wu, Chuan Xiao, Makoto Onizuka, Muyun Yang, Shuyuan Zheng
Title: Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction
Author(s): Junkai Liu, Yujie Tong, Hui Huang, Bowen Zheng, Yiran Hu, Peicheng Wu, Chuan Xiao, Makoto Onizuka, Muyun Yang, Shuyuan Zheng
Title: Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction
October 1, 2025
A work by our lab member(s) got accepted at European Conference on Artificial Intelligence(ECAI)!
Author(s): Mykola Pechenizkiy, Hilde Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich
Title: From Benchmarking to Understanding FairML
Author(s): Mykola Pechenizkiy, Hilde Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich
Title: From Benchmarking to Understanding FairML
September 1, 2025
A work by our lab member(s) got accepted at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)!
Author(s): Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani, Ryosuke Kikuchi, Yuya Sasaki, Makoto Onizuka Conference Name or Journal Name: ECMLPKDD
Title: Graph Neural Network Leveraging Higher-Order Class Label Connectivity for Heterophilous Graphs
Author(s): Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani, Ryosuke Kikuchi, Yuya Sasaki, Makoto Onizuka Conference Name or Journal Name: ECMLPKDD
Title: Graph Neural Network Leveraging Higher-Order Class Label Connectivity for Heterophilous Graphs
June 1, 2025
A work by our lab members got accepted at Journal of Clinical Medicine!
Authors: Takahiro Yanase, Rei Unno, Theodoros Tokas, Vineet Gauhar, Yuya Sasaki, Kengo Kawase, Ryosuke Chaya, Shuzo Hamamoto, Mihoko Maruyama, Takahiro Yasui, Kazumi Taguchi
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
Authors: Takahiro Yanase, Rei Unno, Theodoros Tokas, Vineet Gauhar, Yuya Sasaki, Kengo Kawase, Ryosuke Chaya, Shuzo Hamamoto, Mihoko Maruyama, Takahiro Yasui, Kazumi Taguchi
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
June 1, 2025
A work by our lab members got accepted at Journal of Intelligent Information Systems!
Authors: Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
Title: PolyCard: A learned cardinality estimator for intersection queries on spatial polygons
Authors: Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
Title: PolyCard: A learned cardinality estimator for intersection queries on spatial polygons
May 28, 2025
We plan to hold a lab tour (in Japanese) on June 6th, 2025 from 3:30 p.m. to 4:30 p.m. If you are interested, please fill out the Google Form.
March 25, 2025
Junya Arai PhD (alumnus) won the Kasami Award.
March 1, 2025
We plan to hold our next lab tour (in Japanese) on Mar. 21, 2025. If you are interested, please fill out the Google Form.
March 1, 2025
A work by our lab members got accepted at International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)!
Authors: Ryoga Yoshida, Chuan Xiao, Makoto Onizuka
Title: Workload Cost Optimization Using Dynamic Replication in Decentralized Systems
Authors: Ryoga Yoshida, Chuan Xiao, Makoto Onizuka
Title: Workload Cost Optimization Using Dynamic Replication in Decentralized Systems
February 1, 2025
A work by our lab members got accepted at Proceedings of the ACM on Management of Data (PACMMOD)!
Authors: Ronny Ko, Chuan Xiao, Makoto Onizuka, Zhiqiang Lin, Yihe Huang
Title: Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems
Authors: Ronny Ko, Chuan Xiao, Makoto Onizuka, Zhiqiang Lin, Yihe Huang
Title: Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems