How Neural Processes Improve Graph Link Prediction. - Huidong Liang; Junbin Gao (ICASSP, 2022)

Latent feature augmentation for chorus detection. - Xingjian Du; Huidong Liang; Yuan Wan; Yuheng Lin; Ke Chen 021; Bilei Zhu; Zejun Ma (ISMIR, 2022)

Bytecover3: Accurate Cover Song Identification On Short Queries. - Xingjian Du; Zijie Wang; Xia Liang; Huidong Liang; Bilei Zhu; Zejun Ma (ICASSP, 2023)

Graph contrastive learning with implicit augmentations. - Huidong Liang; Xingjian Du; Bilei Zhu; Zejun Ma; Ke Chen 021; Junbin Gao (Neural Networks, 2023)

Wasserstein Adversarially Regularized Graph Autoencoder. - Huidong Liang; Junbin Gao (Neurocomputing, 2023)

X-Cover: Better Music Version Identification System by Integrating Pretrained ASR Model. - Xingjian Du; Mingyu Liu; Pei Zou; Xia Liang; Zijie Wang; Huidong Liang; Bilei Zhu (ISMIR, 2024)

Bayesian Optimization of Functions over Node Subsets in Graphs. - Huidong Liang; Xingchen Wan; Xiaowen Dong 001 (NeurIPS, 2024)

Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement. - Huidong Liang; Haitz Sáez de Ocáriz Borde; Baskaran Sripathmanathan; Michael M. Bronstein; Xiaowen Dong 001 (CoRR, 2025)

Ark: An Open-source Python-based Framework for Robot Learning. - Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Jan Peters 001; Xingyue Quan; Jun Wang 012; et al. (CoRR, 2025)