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Haoteng Yin
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 20
Top Topics
Graph Representation
Diffusion Models
Top Venues
CoRR
Proc. VLDB Endow.
ICLR
WWW
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Publications
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Tianyi Zhang
,
Haoteng Yin
,
Rongzhe Wei
,
Pan Li
,
Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.
WWW
(2024)
Wei Xiang
,
Haoteng Yin
,
He Wang
,
Xiaogang Jin
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents.
AAAI
(2024)
Rongzhe Wei
,
Eleonora Kreacic
,
Haoyu Peter Wang
,
Haoteng Yin
,
Eli Chien
,
Vamsi K. Potluru
,
Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
Trans. Mach. Learn. Res.
2024 (2024)
Wei Xiang
,
Haoteng Yin
,
He Wang
,
Xiaogang Jin
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents.
CoRR
(2024)
Tianyi Zhang
,
Haoteng Yin
,
Rongzhe Wei
,
Pan Li
,
Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.
CoRR
(2023)
Rongzhe Wei
,
Eleonora Kreacic
,
Haoyu Wang
,
Haoteng Yin
,
Eli Chien
,
Vamsi K. Potluru
,
Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
CoRR
(2023)
Haoteng Yin
,
Muhan Zhang
,
Jianguo Wang
,
Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning.
Proc. VLDB Endow.
16 (11) (2023)
Haoteng Yin
,
Muhan Zhang
,
Jianguo Wang
,
Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning.
CoRR
(2023)
Prasita Mukherjee
,
Haoteng Yin
OCTAL: Graph Representation Learning for LTL Model Checking.
CoRR
(2023)
Prasita Mukherjee
,
Haoteng Yin
,
Susheel Suresh
,
Tiark Rompf
OCTAL: Graph Representation Learning for LTL Model Checking.
CoRR
(2022)
Haoteng Yin
,
Muhan Zhang
,
Yanbang Wang
,
Jianguo Wang
,
Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.
Proc. VLDB Endow.
15 (11) (2022)
Haoteng Yin
,
Muhan Zhang
,
Yanbang Wang
,
Jianguo Wang
,
Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.
CoRR
(2022)
Haorui Wang
,
Haoteng Yin
,
Muhan Zhang
,
Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.
CoRR
(2022)
Rongzhe Wei
,
Haoteng Yin
,
Junteng Jia
,
Austin R. Benson
,
Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.
NeurIPS
(2022)
Haorui Wang
,
Haoteng Yin
,
Muhan Zhang
,
Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.
ICLR
(2022)
Rongzhe Wei
,
Haoteng Yin
,
Junteng Jia
,
Austin R. Benson
,
Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.
CoRR
(2022)
Haoteng Yin
,
Yanbang Wang
,
Pan Li
Revisit graph neural networks and distance encoding in a practical view.
CoRR
(2020)
Bing Yu
,
Haoteng Yin
,
Zhanxing Zhu
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling.
CoRR
(2019)
Bing Yu
,
Haoteng Yin
,
Zhanxing Zhu
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.
IJCAI
(2018)
Bing Yu
,
Haoteng Yin
,
Zhanxing Zhu
Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting.
CoRR
(2017)