Hai-Tao Yu

27 papers A* 1A 4B 2Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Action Sequence Analysis Using Temporal Commonsense Knowledge.
PAKDD (6)
Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu
2025 — conf
Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis.
ADMA (1)
Hai-Tao Yu, Dawei Li, Xin Kang
2025 J jnl
Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural network.
Inf. Process. Manag.
Hai-Tao Yu, Chao Lei, Yan Ge, Yijun Duan, Xin Liu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Adam Jatowt
2025 J jnl
Implicit knowledge-augmented prompting for commonsense explanation generation.
Knowl. Inf. Syst.
Yan Ge, Hai-Tao Yu, Chao Lei, Xin Liu, Adam Jatowt, Kyoung-Sook Kim, Steven J. Lynden, Akiyoshi Matono
2024 J jnl
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations.
IEEE Access
Yao Wang, Xin Liu, Wei Kun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Nguyen Le Minh
2024 J jnl
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations.
CoRR
Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le-Minh Nguyen
2024 B conf
Inexact Graph Representation Learning.
IJCNN
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono
2023 J jnl
An in-depth study on adversarial learning-to-rank.
Inf. Retr. J.
Hai-Tao Yu, Rajesh Piryani, Adam Jatowt, Ryo Inagaki, Hideo Joho, Kyoung-Sook Kim
2023 J jnl
Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification.
IEICE Trans. Inf. Syst.
Naoya Muramatsu, Hai-Tao Yu, Tetsuji Satoh
2023 A conf
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns.
ECAI
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 B conf
Dual Cost-sensitive Graph Convolutional Network.
IJCNN
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 J jnl
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network.
Remote. Sens.
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 J jnl
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies.
IEEE Access
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 A* conf
Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization.
AAAI
Hai-Tao Yu
2022 J jnl
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs.
Remote. Sens.
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 A conf
Selectively Expanding Queries and Documents for News Background Linking.
CIKM
Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu
2021 J jnl
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification.
CoRR
Naoya Muramatsu, Hai-Tao Yu
2021 J jnl
Word sense disambiguation based on stretchable matching of the semantic template.
Math. Found. Comput.
Wei Wang, Degen Huang, Hai-Tao Yu
2020 A conf
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision.
CIKM
Naoki Muramoto, Hai-Tao Yu
2020 J jnl
Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics.
CoRR
Hai-Tao Yu
2020 J jnl
PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank.
CoRR
Hai-Tao Yu
2019 — conf
TUA1 at the TREC 2019: Deep Learning Track.
TREC
Yun Gao, Xin Kang, Fuji Ren, Hai-Tao Yu
2014 A conf
Search Result Diversification via Filling Up Multiple Knapsacks.
CIKM
Hai-Tao Yu, Fuji Ren
2014 — conf
Subtopic Mining via Modifier Graph Clustering.
PAKDD (1)
Hai-Tao Yu, Fuji Ren
2014 — conf
TUTA1 at the NTCIR-11 IMine Task.
NTCIR
Hai-Tao Yu, Fuji Ren
2014 — conf
TUTA1 at the NTCIR-11 Temporalia Task.
NTCIR
Hai-Tao Yu, Xin Kang, Fuji Ren
2013 — conf
User-Aware Advertisability.
AIRS
Hai-Tao Yu, Tetsuya Sakai