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Liping Liu
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 18
2025
2016
Top Topics
2025
2016
Gaussian Process
Top Venues
CoRR
AISTATS
ICML
NeurIPS
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Publications
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Panagiotis Lymperopoulos
,
Liping Liu
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets.
CoRR
(2024)
Panagiotis Lymperopoulos
,
Liping Liu
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets.
AISTATS
(2024)
Luning Sun
,
Xu Han
,
Han Gao
,
Jian-Xun Wang
,
Liping Liu
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model.
NeurIPS
(2023)
Patrick Feeney
,
Sarah Schneider
,
Panagiotis Lymperopoulos
,
Liping Liu
,
Matthias Scheutz
,
Michael C. Hughes
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds.
Trans. Mach. Learn. Res.
2023 (2023)
Xiaohui Chen
,
Yinkai Wang
,
Yuanqi Du
,
Soha Hassoun
,
Liping Liu
On Separate Normalization in Self-supervised Transformers.
NeurIPS
(2023)
Mingyang Wu
,
Xiaohui Chen
,
Liping Liu
EDGE++: Improved Training and Sampling of EDGE.
CoRR
(2023)
Thomas Schnelldorfer
,
Janil Castro
,
Atoussa Goldar-Najafi
,
Liping Liu
Development of a Deep Learning System for Intra-Operative Identification of Cancer Metastases.
CoRR
(2023)
Xiaohui Chen
,
Jiaxing He
,
Xu Han
,
Liping Liu
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling.
ICML
(2023)
Xu Han
,
Han Gao
,
Tobias Pfaff
,
Jian-Xun Wang
,
Liping Liu
Predicting Physics in Mesh-reduced Space with Temporal Attention.
ICLR
(2022)
Xiaohui Chen
,
Xi Chen
,
Liping Liu
Interpretable Node Representation with Attribute Decoding.
CoRR
(2022)
Patrick Feeney
,
Sarah Schneider
,
Panagiotis Lymperopoulos
,
Liping Liu
,
Matthias Scheutz
,
Michael C. Hughes
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds.
CoRR
(2022)
Han Gao
,
Xu Han
,
Jiaoyang Huang
,
Jian-Xun Wang
,
Liping Liu
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations.
LoG
(2022)
Linfeng Liu
,
Michael Hughes
,
Liping Liu
Modeling Graph Node Correlations with Neighbor Mixture Models.
CoRR
(2021)
Linfeng Liu
,
Michael C. Hughes
,
Soha Hassoun
,
Liping Liu
Stochastic Iterative Graph Matching.
ICML
(2021)
Gabriel Appleby
,
Linfeng Liu
,
Liping Liu
Kriging Convolutional Networks.
AAAI
(2020)
Linfeng Liu
,
Liping Liu
Localizing and Amortizing: Efficient Inference for Gaussian Processes.
ACML
(2020)
Linfeng Liu
,
Liping Liu
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes.
AISTATS
(2019)
Linfeng Liu
,
Liping Liu
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes.
CoRR
(2018)