Huayi Tang - RankMe

33 papers A* 11C 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Black Box: Theory and Mechanism of Large Language Models. CoRR Zeyu Gan, Ruifeng Ren, Wei Yao, Xiaolin Hu, Gengze Xu, Chen Qian, Huayi Tang, Zixuan Gong, Xinhao Yao, Pengwei Tang, Zhenxing Dou, Yong Liu
2026	J	`jnl`	Effective Frontiers: A Unification of Neural Scaling Laws. CoRR Jiaxuan Zou, Zixuan Gong, Ye Su, Huayi Tang, Yong Liu
2026	J	`jnl`	Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry. CoRR Ye Su, Huayi Tang, Zixuan Gong, Yong Liu
2025	J	`jnl`	Active Semantic Perception. CoRR Huayi Tang, Pratik Chaudhari
2025	J	`jnl`	On Weak-to-Strong Generalization and f-Divergence. CoRR Wei Yao, Gengze Xu, Huayi Tang, Wenkai Yang, Donglin Di, Ziqiao Wang, Yong Liu
2025	J	`jnl`	PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification. CoRR Huayi Tang, Yong Liu
2025	—	`conf`	Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived. ICML (Position Papers) Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei
2025	J	`jnl`	Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization. CoRR Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
2025	A*	`conf`	Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization. ICLR Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
2025	J	`jnl`	Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle. CoRR Ruifeng Ren, Sheng Ouyang, Huayi Tang, Yong Liu
2025	A*	`conf`	Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. AAAI Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu
2025	J	`jnl`	Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. CoRR Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu
2025	A*	`conf`	Understanding Model Ensemble in Transferable Adversarial Attack. ICML Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu
2024	A*	`conf`	DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs. ICRA Jiawen Zhu, Huayi Tang, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Shihao Qiu, Shengming Li, Huchuan Lu
2024	J	`jnl`	Information-Theoretic Generalization Bounds for Transductive Learning and its Applications. J. Mach. Learn. Res. Huayi Tang, Yong Liu
2024	A*	`conf`	Perfect Alignment May be Poisonous to Graph Contrastive Learning. ICML Jingyu Liu, Huayi Tang, Yong Liu
2024	A*	`conf`	Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem. KDD Chen Qian, Huayi Tang, Hong Liang, Yong Liu
2024	J	`jnl`	Understanding Model Ensemble in Transferable Adversarial Attack. CoRR Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu
2023	J	`jnl`	Can Large Language Models Empower Molecular Property Prediction? CoRR Chen Qian, Huayi Tang, Zhirui Yang, Hong Liang, Yong Liu
2023	J	`jnl`	DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs. CoRR Jiawen Zhu, Huayi Tang, Zhi-Qi Cheng, Jun-Yan He, Bin Luo, Shihao Qiu, Shengming Li, Huchuan Lu
2023	C	`conf`	Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. ACML Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
2023	J	`jnl`	Information-Theoretic Generalization Bounds for Transductive Learning and its Applications. CoRR Huayi Tang, Yong Liu
2023	J	`jnl`	Perfect Alignment May be Poisonous to Graph Contrastive Learning. CoRR Jingyu Liu, Huayi Tang, Yong Liu
2023	—	`conf`	Safe Contrastive Clustering. MMM (1) Pengwei Tang, Huayi Tang, Wei Wang, Yong Liu
2023	J	`jnl`	Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
2023	A*	`conf`	Towards Understanding Generalization of Graph Neural Networks. ICML Huayi Tang, Yong Liu
2023	J	`jnl`	Towards Understanding the Generalization of Graph Neural Networks. CoRR Huayi Tang, Yong Liu
2022	A*	`conf`	Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm. ICML Huayi Tang, Yong Liu
2022	A*	`conf`	Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase. CVPR Huayi Tang, Yong Liu
2022	A*	`conf`	Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
2021	J	`jnl`	Contrastive Multi-Modal Clustering. CoRR Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He
2021	A*	`conf`	Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
2021	J	`jnl`	Self-supervised Discriminative Feature Learning for Multi-view Clustering. CoRR Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu