Quan Tang

According to our database, Quan Tang authored at least 29 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation.

Qingze He, Fagui Liu, Dengke Zhang, Qingmao Wei, Quan Tang

CoRR, April, 2026

Privacy-Aware and Energy-Efficient Task Offloading for the Internet of Energy.

Bin Wang, Xiangyu Ren, Jun Jiang, Quan Tang, Xingchi Chen, Xuhao Tang, Fa Zhu

IEEE Netw., March, 2026

CaSS: Category-Aware Semantic Segmentation With Vision-Language Priors.

Quan Tang, Dengke Zhang, Xuhao Tang, Bin Wang, Cuifeng Du, Jun Jiang

IEEE Signal Process. Lett., 2026

2025

Tightly Coupled RTK-Visual-Inertial Integration With a Novel Sliding Ambiguity Window Optimization Framework.

Chufeng Duan, Ruofan Liu, Nan Li, Shengquan Li, Quan Tang, Zhiqiang Dai, Xiangwei Zhu

IEEE Trans. Intell. Transp. Syst., December, 2025

Cost and Makespan-Aware Task Scheduling With Deep Reinforcement Learning in Multicloud Environments.

Xuhao Tang, Fagui Liu, Bin Wang, Mengjiao Zhang, Jun Jiang, Quan Tang, Qingbo Wu, C. L. Philip Chen

IEEE Trans. Comput. Soc. Syst., December, 2025

Incremental Semi-Supervised Learning for Data Streams Classification in Internet of Things.

Jun Jiang, Bin Wang, Quan Tang, Guoxiang Zhong, Xuhao Tang, Joel J. P. C. Rodrigues

IEEE Trans. Netw. Serv. Manag., June, 2025

LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment.

Xuhao Tang, Fagui Liu, Dishi Xu, Jun Jiang, Quan Tang, Bin Wang, Qingbo Wu, C. L. Philip Chen

IEEE Trans. Consumer Electron., May, 2025

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang

IEEE Trans. Image Process., 2025

Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation.

Dengke Zhang, Quan Tang, Fagui Liu, Haiqing Mei, C. L. Philip Chen

IEEE Signal Process. Lett., 2025

Increase the sensitivity of moderate examples for semantic image segmentation.

Quan Tang, Fagui Liu, Dengke Zhang, Jun Jiang, Xuhao Tang, C. L. Philip Chen

Image Vis. Comput., 2025

EK-Net++: Real-time scene text detection with expand kernel distance and Epoch Adaptive Weight.

Boyuan Zhu, Xi Chen, Quan Tang, C. L. Philip Chen, Fagui Liu

Expert Syst. Appl., 2025

CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation.

Dengke Zhang, Fagui Liu, Quan Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

ACP-Net: Asymmetric Center Positioning Network for Real-Time Text Detection.

Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang, C. L. Philip Chen

Knowl. Based Syst., 2024

CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation.

Dengke Zhang, Fagui Liu, Quan Tang

CoRR, 2024

EK-Net: Real-Time Scene Text Detection with Expand Kernel Distance.

Boyuan Zhu, Fagui Liu, Xi Chen, Quan Tang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang

Comput. Commun., February, 2023

Category Feature Transformer for Semantic Segmentation.

Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang

CoRR, 2023

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings.

Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation.

Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang

IEEE Trans. Intell. Transp. Syst., 2022

EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things.

Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham

IEEE Trans. Green Commun. Netw., 2022

A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.

Jun Jiang, Fagui Liu, Yongheng Liu, Quan Tang, Bin Wang, Guoxiang Zhong, Weizheng Wang

Comput. Commun., 2022

SegViT: Semantic Segmentation with Plain Vision Transformers.

Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Utilize Spatial Prior in Ground Truth: Spatial-Enhanced Loss for Semantic Segmentation.

Yu Zhang, Fagui Liu, Quan Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang, Xuhao Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Attention-guided chained context aggregation for semantic segmentation.

Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang

Image Vis. Comput., 2021

2020

Attention-guided Chained Context Aggregation for Semantic Segmentation.

Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang

CoRR, 2020

2018

Event-Driven Semantic Service Discovery Based on Word Embeddings.

Fagui Liu, Dacheng Deng, Jun Jiang, Quan Tang

IEEE Access, 2018