3 papers
cs.LG2026
MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
Bo Zheng, Yudong Chen, Zihua Xiong +4
Tabular data forms the backbone of high-stakes decision systems in finance, healthcare, and beyond. Yet industrial tabular datasets are inherently difficult: high-dimensional, ridd…
cs.CV2023
Edge Wasserstein Distance Loss for Oriented Object Detection
Yuke Zhu, Yumeng Ruan, Zihua Xiong +1
Regression loss design is an essential topic for oriented object detection. Due to the periodicity of the angle and the ambiguity of width and height definition, traditional L1-dis…
cs.CV2022
Cross-Architecture Self-supervised Video Representation Learning
Sheng Guo, Zihua Xiong, Yujie Zhong +4
In this paper, we present a new cross-architecture contrastive learning (CACL) framework for self-supervised video representation learning. CACL consists of a 3D CNN and a video tr…