53 citations · 107 across the 13 of their papers we have counts for
13 papers
Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu +3
3D convolutional neural networks have revealed superior performance in processing volumetric data such as video and medical imaging. However, the competitive performance by leverag…
PromptAttack: Prompt-based Attack for Language Models via Gradient Search
Yundi Shi, Piji Li, Changchun Yin +3
As the pre-trained language models (PLMs) continue to grow, so do the hardware and data requirements for fine-tuning PLMs. Therefore, the researchers have come up with a lighter me…
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu, Jintang Li, Junchi Yu +17
Deep graph learning has achieved remarkable progresses in both business and scientific areas ranging from finance and e-commerce, to drug and advanced material discovery. Despite t…
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Xiuxiu Bai, Zhe Liu, Yao Gao +2
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (…
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms
Jianjun Wu, Rongpeng Li, Xueli An +4
The mobile communication system has transformed to be the fundamental infrastructure to support digital demands from all industry sectors, and 6G is envisioned to go far beyond the…
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking
Zhen Li, Sunzeng Cai, Xiaoyi Wang +2
Multiple Object Tracking (MOT) has been a useful yet challenging task in many real-world applications such as video surveillance, intelligent retail, and smart city. The challenge…