Huidong Liang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Monte Carlo Sampling

Link Prediction

Top Venues

Neural Networks

Publications

Huidong Liang, Xingchen Wan, Xiaowen Dong
Bayesian Optimization of Functions over Node Subsets in Graphs. CoRR (2024)
Huidong Liang, Junbin Gao
Wasserstein Adversarially Regularized Graph Autoencoder. Neurocomputing 541 (2023)
Xingjian Du, Zijie Wang, Xia Liang, Huidong Liang, Bilei Zhu, Zejun Ma
Bytecover3: Accurate Cover Song Identification On Short Queries. ICASSP (2023)
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
Graph contrastive learning with implicit augmentations. Neural Networks 163 (2023)
Xingjian Du, Zijie Wang, Xia Liang, Huidong Liang, Bilei Zhu, Zejun Ma
ByteCover3: Accurate Cover Song Identification on Short Queries. CoRR (2023)
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
Graph Contrastive Learning with Implicit Augmentations. CoRR (2022)
Xingjian Du, Huidong Liang, Yuan Wan, Yuheng Lin, Ke Chen, Bilei Zhu, Zejun Ma
Latent feature augmentation for chorus detection. ISMIR (2022)
Huidong Liang, Junbin Gao
How Neural Processes Improve Graph Link Prediction. ICASSP (2022)
Huidong Liang, Junbin Gao
Wasserstein Adversarially Regularized Graph Autoencoder. CoRR (2021)
Huidong Liang, Junbin Gao
How Neural Processes Improve Graph Link Prediction. CoRR (2021)