Huayi Tang

According to our database, Huayi Tang authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

Understanding Model Ensemble in Transferable Adversarial Attack.

Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

CoRR, 2024

Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem.

Chen Qian, Huayi Tang, Hong Liang, Yong Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs.

Jiawen Zhu, Huayi Tang, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Shihao Qiu, Shengming Li, Huchuan Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Perfect Alignment May be Poisonous to Graph Contrastive Learning.

Jingyu Liu, Huayi Tang, Yong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He

IEEE Trans. Knowl. Data Eng., July, 2023

Information-Theoretic Generalization Bounds for Transductive Learning and its Applications.

Huayi Tang, Yong Liu

CoRR, 2023

Perfect Alignment May be Poisonous to Graph Contrastive Learning.

Jingyu Liu, Huayi Tang, Yong Liu

CoRR, 2023

Can Large Language Models Empower Molecular Property Prediction?

Chen Qian, Huayi Tang, Zhirui Yang, Hong Liang, Yong Liu

CoRR, 2023

Safe Contrastive Clustering.

Pengwei Tang, Huayi Tang, Wei Wang, Yong Liu

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Towards Understanding Generalization of Graph Neural Networks.

Huayi Tang, Yong Liu

Proceedings of the International Conference on Machine Learning, 2023

Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection.

Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm.

Huayi Tang, Yong Liu

Proceedings of the International Conference on Machine Learning, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.

Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase.

Huayi Tang, Yong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Contrastive Multi-Modal Clustering.

Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He

CoRR, 2021

Self-supervised Discriminative Feature Learning for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu

CoRR, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021