Haoteng Yin - RankMe

24 papers A* 5Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentially Private Relational Learning with Entity-level Privacy Guarantees. CoRR Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li
2025	J	`jnl`	Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. CoRR Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
2025	—	`conf`	How to Talk to Language Models: Serialization Strategies for Structured Entity Matching. NAACL (Findings) Haoteng Yin, Jinha Kim, Prashant Mathur, Krishanu Sarker, Vidit Bansal
2024	A*	`conf`	Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. WWW Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
2024	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2024	J	`jnl`	Privately Learning from Graphs with Applications in Fine-tuning Large Language Models. CoRR Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li
2024	A*	`conf`	SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents. AAAI Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin
2024	J	`jnl`	SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents. CoRR Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin
2023	J	`jnl`	Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. CoRR Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
2023	J	`jnl`	OCTAL: Graph Representation Learning for LTL Model Checking. CoRR Prasita Mukherjee, Haoteng Yin
2023	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2023	J	`jnl`	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. CoRR Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
2023	J	`jnl`	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. Proc. VLDB Endow. Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
2022	J	`jnl`	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. CoRR Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
2022	J	`jnl`	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. Proc. VLDB Endow. Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
2022	A*	`conf`	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. ICLR Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
2022	J	`jnl`	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. CoRR Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
2022	J	`jnl`	OCTAL: Graph Representation Learning for LTL Model Checking. CoRR Prasita Mukherjee, Haoteng Yin, Susheel Suresh, Tiark Rompf
2022	A*	`conf`	Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
2022	J	`jnl`	Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
2020	J	`jnl`	Revisit graph neural networks and distance encoding in a practical view. CoRR Haoteng Yin, Yanbang Wang, Pan Li
2019	J	`jnl`	ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling. CoRR Bing Yu, Haoteng Yin, Zhanxing Zhu
2018	A*	`conf`	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. IJCAI Bing Yu, Haoteng Yin, Zhanxing Zhu
2017	J	`jnl`	Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting. CoRR Bing Yu, Haoteng Yin, Zhanxing Zhu