most citedAI of Brain and Cognitive Sciences: From the Perspective of First Principles

2 citations · 4 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI20241 cited

Integration of cognitive tasks into artificial general intelligence test for large models

Youzhi Qu, Chen Wei, Penghui Du +10

During the evolution of large models, performance evaluation is necessarily performed to assess their capabilities and ensure safety before practical application. However, current…

eess.SP2024

Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare

Mahathir Monjur, Jia Liu, Jingye Xu +10

This paper examines the application of WiFi signals for real-world monitoring of daily activities in home healthcare scenarios. While the state-of-the-art of WiFi-based activity re…

cs.SD2023

Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach

Anbai Jiang, Wei-Qiang Zhang, Yufeng Deng +2

Automatic detection of machine anomaly remains challenging for machine learning. We believe the capability of generative adversarial network (GAN) suits the need of machine audio a…

cs.LG2023

PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities

Zhuqing Liu, Xin Zhang, Songtao Lu +1

Recently, min-max optimization problems have received increasing attention due to their wide range of applications in machine learning (ML). However, most existing min-max solution…

q-bio.NC20232 cited

AI of Brain and Cognitive Sciences: From the Perspective of First Principles

Luyao Chen, Zhiqiang Chen, Longsheng Jiang +13

Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and con…

cs.LG2023

DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization

Peiwen Qiu, Yining Li, Zhuqing Liu +5

Decentralized bilevel optimization has received increasing attention recently due to its foundational role in many emerging multi-agent learning paradigms (e.g., multi-agent meta-l…