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20212025
most citedWhat Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss

Naifu Feng, Lixing Chen, Junhua Tang +3

Transformer-based models have made significant progress in time series forecasting. However, a key limitation of deep learning models is their susceptibility to adversarial attacks…

cs.CL2024

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph

Yutong Zhang, Lixing Chen, Shenghong Li +6

Large language models (LLMs) have demonstrated exceptional performance across a wide variety of domains. Nonetheless, generalist LLMs continue to fall short in reasoning tasks nece…

cs.CV2024★ 1 cited

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

Wanfang Su, Lixing Chen, Yang Bai +4

Multi-agent perception (MAP) allows autonomous systems to understand complex environments by interpreting data from multiple sources. This paper investigates intermediate collabora…

cs.IT2022

Secure Network Function Computation for Linear Functions -- Part I: Source Security

Xuan Guang, Yang Bai, Raymond W. Yeung

In this paper, we put forward secure network function computation over a directed acyclic network. In such a network, a sink node is required to compute with zero error a target fu…

cs.LG2021

Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement

Yang Bai, Lixing Chen, Shaolei Ren +1

The rapid uptake of intelligent applications is pushing deep learning (DL) capabilities to Internet-of-Things (IoT). Despite the emergence of new tools for embedding deep neural ne…