1 citations · 1 across the 3 of their papers we have counts for
5 papers
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong
Variable selection plays a crucial role in enhancing modeling effectiveness across diverse fields, addressing the challenges posed by high-dimensional datasets of correlated variab…
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
Haoyu Liang, Youran Sun, Yunfeng Cai +2
The security issue of large language models (LLMs) has gained wide attention recently, with various defense mechanisms developed to prevent harmful output, among which safeguards b…
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
Zhongrui Yu, Haoran Wang, Jinze Yang +6
Novel View Synthesis (NVS) for street scenes play a critical role in the autonomous driving simulation. The current mainstream technique to achieve it is neural rendering, such as…
Neural Field Classifiers via Target Encoding and Classification Loss
Xindi Yang, Zeke Xie, Xiong Zhou +6
Neural field methods have seen great progress in various long-standing tasks in computer vision and computer graphics, including novel view synthesis and geometry reconstruction. A…
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
Yang Liu, Huang Fang, Yunfeng Cai +1
Knowledge graph embedding (KGE) models achieved state-of-the-art results on many knowledge graph tasks including link prediction and information retrieval. Despite the superior per…