| 2026 | DASFAA | Retrieval-Augmented Diffusion Language Model for Generative Commonsense Reasoning. | Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita |
| 2026 | ICTIR | Towards Adaptive and Retriever-friendly Retrieval-augmented Generation via Reinforcement Learning. | Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita |
| 2025 | ADMA | Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis. | Hai-Tao Yu, Dawei Li, Xin Kang |
| 2025 | PAKDD | Action Sequence Analysis Using Temporal Commonsense Knowledge. | Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu |
| 2024 | AAAI | MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. | Hai-Tao Yu, Mofei Song |
| 2024 | IJCNN | Inexact Graph Representation Learning. | Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono |
| 2023 | ECAI | What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. | Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono |
| 2022 | AAAI | Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. | Hai-Tao Yu |
| 2022 | CIKM | Selectively Expanding Queries and Documents for News Background Linking. | Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu |
| 2022 | IJCNN | Dual Cost-sensitive Graph Convolutional Network. | Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono |
| 2020 | CIKM | Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision. | Naoki Muramoto, Hai-Tao Yu |
| 2014 | CIKM | Search Result Diversification via Filling Up Multiple Knapsacks. | Hai-Tao Yu, Fuji Ren |
| 2014 | PAKDD | Subtopic Mining via Modifier Graph Clustering. | Hai-Tao Yu, Fuji Ren |