Yunyu Liu

Orcid: 0000-0002-1539-7050

According to our database1, Yunyu Liu authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder.
IEEE Trans. Image Process., 2023

Equivariant Hypergraph Diffusion Neural Operators.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Neural Predicting Higher-order Patterns in Temporal Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Semi-Supervised Dual Relation Learning for Multi-Label Classification.
IEEE Trans. Image Process., 2021

Neural Higher-order Pattern (Motif) Prediction in Temporal Networks.
CoRR, 2021

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
GENPass: A Multi-Source Deep Learning Model for Password Guessing.
IEEE Trans. Multim., 2020

Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Human Activities of Daily Living Recognition with Graph Convolutional Network.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Relation Semi-Supervised Multi-Label Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Generative Multi-View Human Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
GENPass: A General Deep Learning Model for Password Guessing with PCFG Rules and Adversarial Generation.
Proceedings of the 2018 IEEE International Conference on Communications, 2018


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