activity
20202026
most citedExplainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

24 citations · 26 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Towards Robotic Dexterous Hand Intelligence: A Survey

Weiguang Zhao, Tian Liang, Xihao Guo +3

Robotic dexterous hands are central to contact-rich manipulation, with rapid progress driven by advances in hardware, sensing, control, simulation, and data generation. However, ex…

cs.CV2025

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis

Weiguang Zhao, Rui Zhang, Qiufeng Wang +2

3D semantic segmentation plays a fundamental and crucial role to understand 3D scenes. While contemporary state-of-the-art techniques predominantly concentrate on elevating the ove…

cs.CV2025

Towards Training-Free Open-World Classification with 3D Generative Models

Xinzhe Xia, Weiguang Zhao, Yuyao Yan +4

3D open-world classification is a challenging yet essential task in dynamic and unstructured real-world scenarios, requiring both open-category and open-pose recognition. To addres…

cs.RO2024

3D-CDRGP: Towards Cross-Device Robotic Grasping Policy in 3D Open World

Weiguang Zhao, Chenru Jiang, Chengrui Zhang +4

Given the diversity of devices and the product upgrades, cross-device research has become an urgent issue that needs to be tackled. To this end, we pioneer in probing the cross-dev…

cs.CV2024

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks

Haochuan Jiang, Guanyu Yang, Kaizhu Huang +1

Due to the huge category number, the sophisticated combinations of various strokes and radicals, and the free writing or printing styles, generating Chinese characters with diverse…

cs.LG2024

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering

Jingwei Guo, Kaizhu Huang, Xinping Yi +2

Whilst spectral Graph Neural Networks (GNNs) are theoretically well-founded in the spectral domain, their practical reliance on polynomial approximation implies a profound linkage…

cs.CV2023★ 2 cited

Diff-Oracle: Deciphering Oracle Bone Scripts with Controllable Diffusion Model

Jing Li, Qiu-Feng Wang, Siyuan Wang +3

Deciphering oracle bone scripts plays an important role in Chinese archaeology and philology. However, a significant challenge remains due to the scarcity of oracle character image…

cs.CV2023

Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges

Weiguang Zhao, Guanyu Yang, Rui Zhang +5

With the explosive 3D data growth, the urgency of utilizing zero-shot learning to facilitate data labeling becomes evident. Recently, methods transferring language or language-imag…

cs.LG2020★ 24 cited

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

Penglei Gao, Xi Yang, Rui Zhang +1

We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitr…