372 citations · 862 across the 46 of their papers we have counts for
48 papers
Dissecting RGB-D Learning for Improved Multi-modal Fusion
Hao Chen, Haoran Zhou, Yunshu Zhang +2
In the RGB-D vision community, extensive research has been focused on designing multi-modal learning strategies and fusion structures. However, the complementary and fusion mechani…
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
Jiahuan Li, Hao Zhou, Shujian Huang +2
Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translations, without being explicitly trained on parallel corp…
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
Haosu Zhou, Nan Li
As the complexity of modern manufacturing technologies increases, traditional trial-and-error design, which requires iterative and expensive simulations, becomes unreliable and tim…
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition
Hao Zhou, Man Lan, Yuanbin Wu +2
Due to the absence of connectives, implicit discourse relation recognition (IDRR) is still a challenging and crucial task in discourse analysis. Most of the current work adopted mu…
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Haoran Zhou, Yun Cao, Wenqing Chu +4
Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of…
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei, Zeyong Wei, Haoran Zhou +9
Convolution on 3D point clouds is widely researched yet far from perfect in geometric deep learning. The traditional wisdom of convolution characterises feature correspondences ind…