Hai-Tao Yu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Actionable Knowledge

Direct Optimization

Graph Representation

Spiking Neural Networks

Top Venues

Publications

Hai-Tao Yu, Mofei Song
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. CoRR (2024)
Hai-Tao Yu, Mofei Song
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. AAAI (2024)
Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le-Minh Nguyen
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. CoRR (2024)
Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Hai-Tao Yu, Xin Liu, Yijun Duan
Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM (2023)
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI (2023)
Naoya Muramatsu, Hai-Tao Yu, Tetsuji Satoh
Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification. IEICE Trans. Inf. Syst. 106 (2) (2023)
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Dual Cost-sensitive Graph Convolutional Network. IJCNN (2022)
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. 14 (18) (2022)
Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu
Selectively Expanding Queries and Documents for News Background Linking. CIKM (2022)
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. Remote. Sens. 14 (14) (2022)
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access 10 (2022)
Lirong Zhang, Hideo Joho, Hai-Tao Yu
Semantic Modelling of Document Focus-Time for Temporal Information Retrieval. WWW (Companion Volume) (2022)
Hai-Tao Yu
Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. AAAI (2022)
Naoya Muramatsu, Hai-Tao Yu
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification. CoRR (2021)
Hai-Tao Yu
PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank. CoRR (2020)
Naoki Muramoto, Hai-Tao Yu
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision. CIKM (2020)
Hai-Tao Yu
Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics. CoRR (2020)