Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision. - Naoki Muramoto; Hai-Tao Yu (CIKM, 2020)

PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank. - Hai-Tao Yu (CoRR, 2020)

Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics. - Hai-Tao Yu (CoRR, 2020)

Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification. - Naoya Muramatsu; Hai-Tao Yu (CoRR, 2021)

Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. - Hai-Tao Yu (AAAI, 2022)

Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification. - Naoya Muramatsu; Hai-Tao Yu; Tetsuji Satoh (IEICE Trans. Inf. Syst., 2023)

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. - Hai-Tao Yu; Mofei Song (AAAI, 2024)

Inexact Graph Representation Learning. - Yijun Duan; Xin Liu 020; Adam Jatowt; Hai-Tao Yu; Steven J. Lynden; Akiyoshi Matono (IJCNN, 2024)

Action Sequence Analysis Using Temporal Commonsense Knowledge. - Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono; Hai-Tao Yu; Xin Liu 020 (PAKDD (6), 2025)