Huayi Tang

According to our database, Huayi Tang authored at least 26 papers between 2021 and 2026.

Collaborative distances:

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

2026

Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry.

Ye Su, Huayi Tang, Zixuan Gong, Yong Liu

CoRR, February, 2026

Effective Frontiers: A Unification of Neural Scaling Laws.

Jiaxuan Zou, Zixuan Gong, Ye Su, Huayi Tang, Yong Liu

CoRR, February, 2026

Beyond the Black Box: Theory and Mechanism of Large Language Models.

Zeyu Gan, Ruifeng Ren, Wei Yao, Xiaolin Hu, Gengze Xu, Chen Qian, Huayi Tang, Zixuan Gong, Xinhao Yao, Pengwei Tang, Zhenxing Dou, Yong Liu

CoRR, January, 2026

2025

Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle.

Ruifeng Ren, Sheng Ouyang, Huayi Tang, Yong Liu

CoRR, November, 2025

Active Semantic Perception.

Huayi Tang, Pratik Chaudhari

CoRR, October, 2025

PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification.

Huayi Tang, Yong Liu

CoRR, September, 2025

On Weak-to-Strong Generalization and f-Divergence.

Wei Yao, Gengze Xu, Huayi Tang, Wenkai Yang, Donglin Di, Ziqiao Wang, Yong Liu

CoRR, June, 2025

Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived.

Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Understanding Model Ensemble in Transferable Adversarial Attack.

Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization.

Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking.

Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu

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

2024

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

Huayi Tang, Yong Liu

J. Mach. Learn. Res., 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

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