Xiaoyang Wang

According to our database, Xiaoyang Wang authored at least 17 papers between 2017 and 2026.

Collaborative distances:

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

2026

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs.

Yu Li, Xiaoran Shang, Qizhi Pei, Yun Zhu, Xin Gao, Honglin Lin, Zhanping Zhong, Zhuoshi Pan, Zheng Liu, Xiaoyang Wang, Conghui He, Dahua Lin, Feng Zhao, Lijun Wu

CoRR, April, 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning.

Juekai Lin, Yun Zhu, Honglin Lin, Sijing Li, Tianwei Lin, Zheng Liu, Xiaoyang Wang, Wenqiao Zhang, Lijun Wu

CoRR, April, 2026

Intracluster Contraction for Pedestrian Anomaly Detection Under One-Class Classification Setting.

Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao

IEEE Trans. Artif. Intell., March, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets.

Xin Gao, Xiaoyang Wang, Yun Zhu, Mengzhang Cai, Conghui He, Lijun Wu

CoRR, January, 2026

2025

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value.

Mengzhang Cai, Xin Gao, Yu Li, Honglin Lin, Zheng Liu, Zhuoshi Pan, Qizhi Pei, Xiaoran Shang, Mengyuan Sun, Zinan Tang, Xiaoyang Wang, Zhanping Zhong, Yun Zhu, Dahua Lin, Conghui He, Lijun Wu

CoRR, December, 2025

Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation.

Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection.

Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao

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

Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows.

Xianglin Qiu, Xiaoyang Wang, Zhen Zhang, Jimin Xiao

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

CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection.

Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation.

Xiaoyang Wang, Huihui Bai, Limin Yu, Yao Zhao, Jimin Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Continual Segmentation with Disentangled Objectness Learning and Class Recognition.

Yizheng Gong, Siyue Yu, Xiaoyang Wang, Jimin Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation.

Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction.

Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao

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

Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation.

Xiaoyang Wang, Bingfeng Zhang, Limin Yu, Jimin Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising.

Xiaoyang Wang, Jimin Xiao, Bingfeng Zhang, Limin Yu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2017

Exploring the effectiveness of student-generated video tutorials in electronic lab-based teaching.

Shaofeng Lu, Ying Cheng, Xiaoyang Wang, Yang Du, Eng Gee Lim

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017