News
October 5, 2026
A work by our lab member(s) got accepted at APWeb-WAIM!
Author(s): Taiki Ishisaki, Yuya Sasaki
Title: Design Space for Degree-related Fair Graph Neural Networks
Author(s): Taiki Ishisaki, Yuya Sasaki
Title: Design Space for Degree-related Fair Graph Neural Networks
October 5, 2026
A work by our lab member(s) got accepted at IEEE ACCESS!
Author(s): Rikuya Ohara, Masahiro Mitani, Yuya Sasaki
Title: QIEA-TGX+: Post-hoc Explainer for Temporal Graph Neural Networks with Quantum-Inspired Evolutionary Algorithm
Author(s): Rikuya Ohara, Masahiro Mitani, Yuya Sasaki
Title: QIEA-TGX+: Post-hoc Explainer for Temporal Graph Neural Networks with Quantum-Inspired Evolutionary Algorithm
October 5, 2026
A work by our lab member(s) got accepted at ACM Computing Survey!
Author(s): Lyu He, Xikun Jiang, Borid Dudder, Yuya Sasaki
Title: Survey on Verifiable Machine Learning
Author(s): Lyu He, Xikun Jiang, Borid Dudder, Yuya Sasaki
Title: Survey on Verifiable Machine Learning
October 1, 2026
A work by our lab member(s) got accepted at Conference on Empirical Methods in Natural Language Processing (EMNLP)!
Author(s): Xuyang Cao, Qianying Liu, Chuan Xiao, Yusuke Oda, Jiayi Wang, Pontus Stenetorp, Daisuke Kawahara, Makoto Onizuka, Sadao Kurohashi, Shuyuan Zheng
Title: ShapleyLaw: A Game-Theoretic Approach to Multilingual Scaling Laws
Author(s): Xuyang Cao, Qianying Liu, Chuan Xiao, Yusuke Oda, Jiayi Wang, Pontus Stenetorp, Daisuke Kawahara, Makoto Onizuka, Sadao Kurohashi, Shuyuan Zheng
Title: ShapleyLaw: A Game-Theoretic Approach to Multilingual Scaling Laws
October 1, 2026
A work by our lab member(s) got accepted at Conference on Empirical Methods in Natural Language Processing (EMNLP)!
Author(s): Chuang Ma, Qianying Liu, Tomoyuki Obuchi, Fei Cheng, Wang Yang, Sudong Cai, Shuyuan Zheng, Akiko Aizawa, Sadao Kurohashi
Title: Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
Author(s): Chuang Ma, Qianying Liu, Tomoyuki Obuchi, Fei Cheng, Wang Yang, Sudong Cai, Shuyuan Zheng, Akiko Aizawa, Sadao Kurohashi
Title: Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
September 30, 2026
A work by our lab member(s) got accepted at npj Artificial Intelligence!
Author(s): Ronny Ko, Jiseong Chung, Shuyuan Zheng, Chuan Xiao, Tae-Wan Kim, Makoto Onizuka, Won-Yong Shin
Title: Seven security challenges in cross-domain multi-agent LLM systems
Author(s): Ronny Ko, Jiseong Chung, Shuyuan Zheng, Chuan Xiao, Tae-Wan Kim, Makoto Onizuka, Won-Yong Shin
Title: Seven security challenges in cross-domain multi-agent LLM systems
September 30, 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
July 9, 2026
A work by our lab member(s) received the Best Paper Award at Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) at ACL2026!
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?
June 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.
June 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
June 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
June 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
June 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
June 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
June 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
May 21, 2026
A co-authored paper by Xuanxin Wu got accepted at Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (Oral) and won the Open Track of the British Council BEA 2026 Shared Task "Vocabulary Difficulty Prediction for English Learners"!
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?
May 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
May 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
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