News
6月 30, 2026
佐々木准教授が JpGU-AGU Joint Meeting 2026にて "グラフ深層学習と固体地球科学"という題目で招待講演を行いました.
6月 30, 2026
A work by our lab member(s) got accepted at International School and Conference on Network Science (NetSciX)!
Author(s): Kazuki Nakajima, Yuya Sasaki, Takeaki Uno, Masaki Aida
Title: Multi-Order Hypergraph Stochastic Block Model
Author(s): Kazuki Nakajima, Yuya Sasaki, Takeaki Uno, Masaki Aida
Title: Multi-Order Hypergraph Stochastic Block Model
6月 30, 2026
A work by our lab member(s) got accepted at The 40th Annual AAAI Conference on Artificial Intelligence (AAAI)!
Author(s): Masahiro Mitani, Yuya Sasaki
Title: Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
Author(s): Masahiro Mitani, Yuya Sasaki
Title: Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
6月 30, 2026
A work by our lab member(s) got accepted at Fourteenth International Conference on Complex Networks & Their Applications (COMPLEX NETWORKS)!
Author(s): Kazuki Nakajima, Yuya Sasaki, Masaki Aida
Title: A Document Co-Citation Study of Higher-Order Network Science Status
Author(s): Kazuki Nakajima, Yuya Sasaki, Masaki Aida
Title: A Document Co-Citation Study of Higher-Order Network Science Status
6月 30, 2026
A work by our lab member(s) got accepted at 2025 IEEE International Conference on Big Data (BigData)!
Author(s): Yuya Sasaki
Title: Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Author(s): Yuya Sasaki
Title: Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
6月 30, 2026
A work by our lab member(s) got accepted at Proceedings of the ACM on Management of Data!
Author(s): Genryu Kuraya, Konstantinos Skitsas, Davide Mottin, Panagiotis Karras, Daichi Amagata, Yuya Sasaki
Title: Sublime: Selecting Subgraph Matching Algorithms via Machine Learning
Author(s): Genryu Kuraya, Konstantinos Skitsas, Davide Mottin, Panagiotis Karras, Daichi Amagata, Yuya Sasaki
Title: Sublime: Selecting Subgraph Matching Algorithms via Machine Learning
6月 30, 2026
A work by our lab member(s) got accepted at Scientometrics!
Author(s): Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher
Title: Systemic gendered citation imbalance in computer science: evidence from conferences and journals
Author(s): Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher
Title: Systemic gendered citation imbalance in computer science: evidence from conferences and journals
5月 21, 2026
A work by our lab member(s) got accepted at Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (Oral)!
Author(s): Adam Nohejl, Xuanxin Wu, Yusuke Ide, Maria Angelica Riera Machin, Yi-Ning Chang, Hitomi Yanaka
Title: Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
Author(s): Adam Nohejl, Xuanxin Wu, Yusuke Ide, Maria Angelica Riera Machin, Yi-Ning Chang, Hitomi Yanaka
Title: Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
5月 21, 2026
A work by our lab member(s) got accepted at ACL 2026 Workshop on Evaluating Evaluations (EvalEval)!
Author(s): Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase
Title: Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
Author(s): Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase
Title: Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
5月 21, 2026
A work by our lab member(s) got accepted at ACM Transactions on Intelligent Systems and Technology (ACM TIST)!
Author(s): Xuanxin Wu, Yuki Arase
Title: An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
Author(s): Xuanxin Wu, Yuki Arase
Title: An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
5月 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
5月 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
4月 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.
4月 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
4月 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
4月 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
4月 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
4月 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
4月 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