activity
20182025
most citedHypergraph p-Laplacian Regularization for Remote Sensing Image Recognition

58 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis

Xueqi Ma, Yanbei Jiang, Sarah Erfani +4

Multimodal Large Language Models (MLLMs) have demonstrated exceptional performance across various objective multimodal perception tasks, yet their application to subjective, emotio…

cs.CV2023

Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video

Runyang Feng, Yixing Gao, Xueqing Ma +2

Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods directly employ optical flow or deformable convolution to predict full-spectrum motion fie…

cs.LG2022★ 3 cited

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

Chuang Liu, Xueqi Ma, Yibing Zhan +5

Graph Neural Networks (GNNs) tend to suffer from high computation costs due to the exponentially increasing scale of graph data and the number of model parameters, which restricts…

cs.CV2018★ 2 cited

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition

Xueqi Ma, Weifeng Liu, Dapeng Tao +1

Recently, manifold regularized semi-supervised learning (MRSSL) received considerable attention because it successfully exploits the geometry of the intrinsic data probability dist…

cs.CV2018★ 58 cited

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition

Xueqi Ma, Weifeng Liu, Shuying Li +1

It is of great importance to preserve locality and similarity information in semi-supervised learning (SSL) based applications. Graph based SSL and manifold regularization based SS…