most citedConstrained Low-Rank Learning Using Least Squares-Based Regularization

24 citations · 24 across the 1 of their papers we have counts for

collaborators

35 papers

cs.AI2024

Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning

Yang Zhao, Zidong Nie, Kangsheng Dong +2

The application of intelligent decision-making in unmanned aerial vehicle (UAV) is increasing, and with the development of UAV 1v1 pursuit-evasion game, multi-UAV cooperative game…

cs.LG2024

Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method

Feiping Nie, Yitao Song, Wei Chang +2

In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied…

cs.LG2024

Clustering Based on Density Propagation and Subcluster Merging

Feiping Nie, Yitao Song, Jingjing Xue +2

We propose the DPSM method, a density-based node clustering approach that automatically determines the number of clusters and can be applied in both data space and graph space. Unl…

eess.SP20242 cited

AI Flow at the Network Edge

Jiawei Shao, Xuelong Li

Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and…

cs.CV2024

Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding

Kaijing Ma, Haojian Huang, Jin Chen +8

Existing Video Temporal Grounding (VTG) models excel in accuracy but often overlook open-world challenges posed by open-vocabulary queries and untrimmed videos. This leads to unrel…

cs.CV2024

ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model

Yifan Chen, Xiaozhen Qiao, Zhe Sun +1

Contrastive Language-Image Pre-training (CLIP) models excel in integrating semantic information between images and text through contrastive learning techniques. It has achieved rem…