24 citations · 62 across the 7 of their papers we have counts for
7 papers
Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control
Xinyao Qin, Xiaoteng Ma, Yang Qi +6
Recent research has highlighted the powerful capabilities of imitation learning in robotics. Leveraging generative models, particularly diffusion models, these approaches offer not…
Are Large Language Models Really Robust to Word-Level Perturbations?
Haoyu Wang, Guozheng Ma, Cong Yu +10
The swift advancement in the scales and capabilities of Large Language Models (LLMs) positions them as promising tools for a variety of downstream tasks. In addition to the pursuit…
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin, You Li, Ning Gui +2
Unsupervised graph representation learning(GRL) aims to distill diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from lab…
Data Imputation with Iterative Graph Reconstruction
Jiajun Zhong, Weiwei Ye, Ning Gui
Effective data imputation demands rich latent ``structure" discovery capabilities from ``plain" tabular data. Recent advances in graph neural networks-based data imputation solutio…
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
Zhifeng Qiu, Wanxin Zeng, Dahua Liao +1
Feature selection is an important process in machine learning. It builds an interpretable and robust model by selecting the features that contribute the most to the prediction targ…
Graph Representation Learning Beyond Node and Homophily
You Li, Bei Lin, Binli Luo +1
Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding. However, existing graph representation…
Pair-view Unsupervised Graph Representation Learning
You Li, Binli Luo, Ning Gui
Low-dimension graph embeddings have proved extremely useful in various downstream tasks in large graphs, e.g., link-related content recommendation and node classification tasks, et…