Hai-Tao Yu

According to our database, Hai-Tao Yu authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inexact Graph Representation Learning.

Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono

Proceedings of the International Joint Conference on Neural Networks, 2024

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding.

Hai-Tao Yu, Mofei Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification.

Naoya Muramatsu, Hai-Tao Yu, Tetsuji Satoh

IEICE Trans. Inf. Syst., February, 2023

2022

Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization.

Hai-Tao Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification.

Naoya Muramatsu, Hai-Tao Yu

CoRR, 2021

2020

Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics.

Hai-Tao Yu

CoRR, 2020

PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank.

Hai-Tao Yu

CoRR, 2020

Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision.

Naoki Muramoto, Hai-Tao Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020