output
20192026
most citedCollaborative Perception in Autonomous Driving: Methods, Datasets and Challenges

210 citations

Showing 2025Show all

10 papers · 1 filter

cs.LG2025★ 17 cited

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models

Jinbo Li, Peng Liu, Long Chen +2

The integration of different learning paradigms has long been a focus of machine learning research, aimed at overcoming the inherent limitations of individual methods. Fuzzy rule-b…

cs.DC2025

An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters

Mingjun Zhang, Xiaohe Hu, Menghao Zhang +21

Large-scale LLM training requires collective communication libraries to exchange data among distributed GPUs. As a company dedicated to building and operating large-scale GPU train…

cs.CL2025

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity

Ping Chen, Xiang Liu, Zhaoxiang Liu +7

With the rapid advancement of large language models (LLMs), natural language processing (NLP) has achieved remarkable progress. Nonetheless, significant challenges remain in handli…

cs.DC2025

Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT

Shengheng Liu, Ningning Fu, Zhonghao Zhang +2

The rising popularity of Internet of things (IoT) has spurred technological advancements in mobile internet and interconnected systems. While offering flexible connectivity and int…

cs.IT2025★ 3 cited

Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators

Jian Xiao, Ji Wang, Qimei Cui +4

Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensio…

cs.NI2025★ 22 cited

Joint Task Offloading and Channel Allocation in Spatial-Temporal Dynamic for MEC Networks

Tianyi Shi, Tiankui Zhang, Jonathan Loo +2

Computation offloading and resource allocation are critical in mobile edge computing (MEC) systems to handle the massive and complex requirements of applications restricted by limi…