Yin, Haoteng

8 publications

NeurIPS 2025 Differentially Private Relational Learning with Entity-Level Privacy Guarantees Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li

NeurIPS 2025 Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness 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

ICLRW 2025 Privately Learning from Graphs with Applications in Fine-Tuning Large Pretrained Models Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li

TMLR 2024 On the Inherent Privacy Properties of Discrete Denoising Diffusion Models Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

AAAI 2024 SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin

ICLR 2022 Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li

NeurIPS 2022 Understanding Non-Linearity in Graph Neural Networks from the Bayesian-Inference Perspective Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R Benson, Pan Li

IJCAI 2018 Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Bing Yu, Haoteng Yin, Zhanxing Zhu