陈亮｜安徽理工大学｜学者主页

2026

WarpagePINN: Thermal Warpage Prediction in Advanced Packaging via a Two-Stage Physics-Informed Neural Networks

Xinyu Li, Min Tang, Zeyu Sun, Wenxing Zhu, Jianhua Zhang, Liang Chen

arXiv preprint

2026

UBATrack: Spatio-Temporal State Space Model for General Multi-Modal Tracking

Qihua Liang, Liang Chen, Yaozong Zheng, Jian Nong, Zhiyi Mo, Bineng Zhong

arXiv preprint

2025

Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection

Jianhong Han, Yupei Wang, Liang Chen

arXiv preprint

2025

An Ensembled Penalized Federated Learning Framework for Falling People Detection

Sizhe Rao, Runqiu Zhang, Sajal Saha, Liang Chen

arXiv preprint

2025

Spiking Heterogeneous Graph Attention Networks

Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu

arXiv preprint

2025

MM-DETR: An Efficient Multimodal Detection Transformer with Mamba-Driven Dual-Granularity Fusion and Frequency-Aware Modality Adapters

Jianhong Han, Yupei Wang, Yuan Zhang, Liang Chen

arXiv preprint

2025

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding

Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng

arXiv preprint

2025

ROD: RGB-Only Fast and Efficient Off-road Freespace Detection

Tong Sun, Hongliang Ye, Jilin Mei, Liang Chen, Fangzhou Zhao, Leiqiang Zong, Yu Hu

arXiv preprint

2025

SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph

Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Li Kuang

arXiv preprint

2025

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection

Jianhong Han, Yupei Wang, Liang Chen

arXiv preprint

2024

TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation

Junbao Zhou, Jilin Mei, Pengze Wu, Liang Chen, Fangzhou Zhao, Xijun Zhao, Yu Hu

arXiv preprint

2024

WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction

Heng Zhai, Jilin Mei, Chen Min, Liang Chen, Fangzhou Zhao, Yu Hu

arXiv preprint

2024

Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing

Zihan Ma, Yongshang Li, Ronggui Ma, Chen Liang

arXiv preprint

2024

Fair Graph Representation Learning via Sensitive Attribute Disentanglement

Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen

arXiv preprint

2024

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen

arXiv preprint

2024

DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment

Jianhong Han, Liang Chen, Yupei Wang

arXiv preprint

2023

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongsheng Chen, Sixiang Chen

arXiv preprint

2023

Rethinking and Simplifying Bootstrapped Graph Latents

Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng

arXiv preprint

2023

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng

arXiv preprint

2023

Cross-View Hierarchy Network for Stereo Image Super-Resolution

Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan

arXiv preprint

2022

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Wenbin Zou, Tian Ye, Weixin Zheng, Yunchen Zhang, Liang Chen, Yi Wu

arXiv preprint

2022

Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation

Jiangbo Pei, Zhuqing Jiang, Aidong Men, Liang Chen, Yang Liu, Qingchao Chen

arXiv preprint

DOI

2022

Spectral Adversarial Training for Robust Graph Neural Network

Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling

arXiv preprint

2022

Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack

Jintang Li, Bingzhe Wu, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang, Zibin Zheng

arXiv preprint

2022

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

arXiv preprint

2021

Understanding Structural Vulnerability in Graph Convolutional Networks

Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

arXiv preprint

2021

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu

arXiv preprint

2021

Perceiving and Modeling Density is All You Need for Image Dehazing

Tian Ye, Mingchao Jiang, Yunchen Zhang, Liang Chen, Erkang Chen, Pen Chen, Zhiyong Lu

arXiv preprint

2021

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Wenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu

arXiv preprint

2020

Learning to Sample the Most Useful Training Patches from Images

Shuyang Sun, Liang Chen, Gregory Slabaugh, Philip Torr

arXiv preprint

2020

A Survey of Adversarial Learning on Graphs

Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu

arXiv preprint

2016

Object Recognition Based on Amounts of Unlabeled Data

Fuqiang Liu, Fukun Bi, Liang Chen

arXiv preprint

精选作品

期刊论文

基于深度卷积神经网络的变电站局部放电缺陷诊断方法

基于改进YOLO目标检测算法的继电保护硬压板智能巡检技术研究

面向智能电网的图像目标检测技术在防外力破坏中的应用研究

Design of Dual-channel 3.3-4.2 GHz LNA with 11 Different Gain Modes in 90 nm SOI Technology

预印本

WarpagePINN: Thermal Warpage Prediction in Advanced Packaging via a Two-Stage Physics-Informed Neural Networks

UBATrack: Spatio-Temporal State Space Model for General Multi-Modal Tracking

Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection

An Ensembled Penalized Federated Learning Framework for Falling People Detection

Spiking Heterogeneous Graph Attention Networks

MM-DETR: An Efficient Multimodal Detection Transformer with Mamba-Driven Dual-Granularity Fusion and Frequency-Aware Modality Adapters

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding

ROD: RGB-Only Fast and Efficient Off-road Freespace Detection

SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection

TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation

WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction

Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing

Fair Graph Representation Learning via Sensitive Attribute Disentanglement

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Rethinking and Simplifying Bootstrapped Graph Latents

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

Cross-View Hierarchy Network for Stereo Image Super-Resolution

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation

Spectral Adversarial Training for Robust Graph Neural Network

Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Understanding Structural Vulnerability in Graph Convolutional Networks

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Perceiving and Modeling Density is All You Need for Image Dehazing

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Learning to Sample the Most Useful Training Patches from Images

A Survey of Adversarial Learning on Graphs

Object Recognition Based on Amounts of Unlabeled Data

研究方向