activity
20172025
most citedThe Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

12 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

A Step Toward World Models: A Survey on Robotic Manipulation

Peng-Fei Zhang, Ying Cheng, Xiaofan Sun +4

Autonomous agents are increasingly expected to operate in complex, dynamic, and uncertain environments, performing tasks such as manipulation, navigation, and decision-making. Achi…

cs.DB2025★ 2 cited

Infinite Stream Estimation under Personalized -Event Privacy

Leilei Du, Peng Cheng, Lei Chen +3

Streaming data collection is indispensable for stream data analysis, such as event monitoring. However, publishing these data directly leads to privacy leaks. -event privacy is…

cs.RO2025

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning

Ji Zhang, Shihan Wu, Xu Luo +4

Leveraging pretrained Vision-Language Models (VLMs) to map language instruction and visual observations to raw low-level actions, Vision-Language-Action models (VLAs) hold great pr…

cs.CV2023★ 1 cited

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment

Jinghan Ru, Jun Tian, Zhekai Du +3

Multimedia applications are often associated with cross-domain knowledge transfer, where Unsupervised Domain Adaptation (UDA) can be used to reduce the domain shifts. Open Set Doma…

cs.CL2018★ 12 cited

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

Dongxiang Zhang, Lei Wang, Luming Zhang +2

Solving mathematical word problems (MWPs) automatically is challenging, primarily due to the semantic gap between human-readable words and machine-understandable logics. Despite th…

cs.CV2017★ 3 cited

Towards Automatic Construction of Diverse, High-quality Image Dataset

Yazhou Yao, Jian Zhang, Fumin Shen +4

The availability of labeled image datasets has been shown critical for high-level image understanding, which continuously drives the progress of feature designing and models develo…