3 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Ruiyang Yang, Siheng Li, Beihong Jin
Training multiple agents to perform safe and cooperative control in the complex scenarios of autonomous driving has been a challenge. For a small fleet of cars moving together, thi…
Improving Micro-video Recommendation by Controlling Position Bias
Yisong Yu, Beihong Jin, Jiageng Song +3
As the micro-video apps become popular, the numbers of micro-videos and users increase rapidly, which highlights the importance of micro-video recommendation. Although the micro-vi…
Improving Micro-video Recommendation via Contrastive Multiple Interests
Beibei Li, Beihong Jin, Jiageng Song +3
With the rapid increase of micro-video creators and viewers, how to make personalized recommendations from a large number of candidates to viewers begins to attract more and more a…
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification
Pengfei Gao, Jingpeng Zhao, Yinglong Ma +2
Many important classification problems in the real-world consist of a large number of closely related categories in a hierarchical structure or taxonomy. Hierarchical multi-label t…