News
May 1, 2026
A work by our lab member(s) got accepted at International Conference on Machine Learning (ICML)!
Author(s): Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, and Chuan Xiao
Title: LLM-Based Social Simulations Require a Boundary
Author(s): Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, and Chuan Xiao
Title: LLM-Based Social Simulations Require a Boundary
May 1, 2026
A work by our lab member(s) got accepted at International Conference on Machine Learning (ICML)!
Author(s): Kejing Lu, Zhenpeng Pan, Jianbin Qin, Yoshiharu Ishikawa, and Chuan Xiao
Title: Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
Author(s): Kejing Lu, Zhenpeng Pan, Jianbin Qin, Yoshiharu Ishikawa, and Chuan Xiao
Title: Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
April 27, 2026
We plan to hold our next lab tour (in Japanese) at 2 p.m on May. 29, 2026. If you are interested, please fill out the Google Form.
April 27, 2026
A work by our lab member(s) got accepted at IEEE International Conference on Data Engineering (ICDE)!
Author(s): Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao
Title: VPS: Rethinking OLTP Database Performance Evaluation through Transactional Value
Author(s): Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao
Title: VPS: Rethinking OLTP Database Performance Evaluation through Transactional Value
April 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG
Title: Toward Principled Flexible Scaling for Self-Gated Neural Activation
Author(s): Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG
Title: Toward Principled Flexible Scaling for Self-Gated Neural Activation
April 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Title: ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
Author(s): Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Title: ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
April 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Title: Probabilistic Kernel Function for Fast Angle Testing
Author(s): Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Title: Probabilistic Kernel Function for Fast Angle Testing
April 7, 2026
A work by our lab member(s) got accepted at DBSJ Japanese Journal!
Author(s): 谷口 令, 肖 川, 董 于洋, 小山田 昌史, 鬼塚 真
Title: Attentionスコアの分布類似性を用いた大規模言語モデルの動作異効率化および省メモリ化
Author(s): 谷口 令, 肖 川, 董 于洋, 小山田 昌史, 鬼塚 真
Title: Attentionスコアの分布類似性を用いた大規模言語モデルの動作異効率化および省メモリ化
April 7, 2026
A work by our lab member(s) got accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE)!
Author(s): Shuai Liu, Jianbin Qin, Tianyu Wang, Yuxing Chen, Anqun Pan, Rui Mao, Yuxuan Qiu, Makoto Onizuka, Chuan Xiao
Title: AKV: Agile Read-Efficiently Key-Value OLTP Engine for Non-Volatile Memory
Author(s): Shuai Liu, Jianbin Qin, Tianyu Wang, Yuxing Chen, Anqun Pan, Rui Mao, Yuxuan Qiu, Makoto Onizuka, Chuan Xiao
Title: AKV: Agile Read-Efficiently Key-Value OLTP Engine for Non-Volatile Memory
April 7, 2026
A work by our lab member(s) got accepted at Annual Meeting of the Association for Computational Linguistics (ACL)!
Author(s): Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, and Jianbin Qin
Title: GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
Author(s): Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, and Jianbin Qin
Title: GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
April 7, 2026
A work by our lab member(s) got accepted at ACL Findings!
Author(s): Rei Taniguchi, Yuyang Dong, Makoto Onizuka, and Chuan Xiao
Title: Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
Author(s): Rei Taniguchi, Yuyang Dong, Makoto Onizuka, and Chuan Xiao
Title: Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
March 25, 2026
Seiji Maekawa PhD (alumnus) won the Kasami Award.
February 16, 2026
We plan to hold our next lab tour (in Japanese) at 2 p.m on Mar. 27, 2026. If you are interested, please fill out the Google Form.
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