5 citations · 8 across the 4 of their papers we have counts for
4 papers
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su, Xumin Zuo, Rui Li +3
The emergence of deep learning has yielded noteworthy advancements in time series forecasting (TSF). Transformer architectures, in particular, have witnessed broad utilization and…
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation
Rashid Khan, Bingding Huang, Haseeb Hassan +2
Image captioning is a challenging task involving generating a textual description for an image using computer vision and natural language processing techniques. This paper proposes…
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Chengmin Zhou, Xin Lu, Jiapeng Dai +3
Motion planning is the soul of robot decision making. Classical planning algorithms like graph search and reaction-based algorithms face challenges in cases of dense and dynamic ob…
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou, Chao Wang, Haseeb Hassan +3
Bayesian inference has many advantages in robotic motion planning over four perspectives: The uncertainty quantification of the policy, safety (risk-aware) and optimum guarantees o…