Haotong Zhang — accepted AI-conference papers

2024

SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation

Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu +1

ICLR 2024poster

Humans demonstrate remarkable skill in transferring manipulation abilities across objects of varying shapes, poses, and appearances, a capability rooted in their understanding of semantic correspondences between different instances. To equip robots with a similar high-level comprehension, we present…

Cited by 16 Source ↗PDF ↗Scholar ↗

2022

Summarizing Procedural Text: Data and Approach

Shen Gao, Haotong Zhang, Xiuying Chen, Rui Yan, Dongyan Zhao

EMNLP 2022finding

Procedural text is a widely used genre that contains many steps of instructions of how to cook a dish or how to conduct a chemical experiment and analyze the procedural text has become a popular task in the NLP field. Since the procedural text can be very long and contains many details, summarizing…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗