Huidong Liang

15 papers A* 1Misc 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ark: An Open-source Python-based Framework for Robot Learning.
CoRR
Magnus Dierking, Christopher E. Mower, Sarthak Das, Helong Huang, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Guowei Huang, Jan Peters, Xingyue Quan, Jun Wang, Haitham Bou-Ammar
2025 J jnl
On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems.
CoRR
Bohan Tang, Huidong Liang, Keyue Jiang, Xiaowen Dong
2025 J jnl
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement.
CoRR
Huidong Liang, Haitz Sáez de Ocáriz Borde, Baskaran Sripathmanathan, Michael M. Bronstein, Xiaowen Dong
2024 A* conf
Bayesian Optimization of Functions over Node Subsets in Graphs.
NeurIPS
Huidong Liang, Xingchen Wan, Xiaowen Dong
2024 J jnl
Bayesian Optimization of Functions over Node Subsets in Graphs.
CoRR
Huidong Liang, Xingchen Wan, Xiaowen Dong
2024 — conf
X-Cover: Better Music Version Identification System by Integrating Pretrained ASR Model.
ISMIR
Xingjian Du, Mingyu Liu, Pei Zou, Xia Liang, Zijie Wang, Huidong Liang, Bilei Zhu
2023 J jnl
ByteCover3: Accurate Cover Song Identification on Short Queries.
CoRR
Xingjian Du, Zijie Wang, Xia Liang, Huidong Liang, Bilei Zhu, Zejun Ma
2023 Misc conf
Bytecover3: Accurate Cover Song Identification On Short Queries.
ICASSP
Xingjian Du, Zijie Wang, Xia Liang, Huidong Liang, Bilei Zhu, Zejun Ma
2023 J jnl
Graph contrastive learning with implicit augmentations.
Neural Networks
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2023 J jnl
Wasserstein Adversarially Regularized Graph Autoencoder.
Neurocomputing
Huidong Liang, Junbin Gao
2022 J jnl
Graph Contrastive Learning with Implicit Augmentations.
CoRR
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2022 Misc conf
How Neural Processes Improve Graph Link Prediction.
ICASSP
Huidong Liang, Junbin Gao
2022 — conf
Latent feature augmentation for chorus detection.
ISMIR
Xingjian Du, Huidong Liang, Yuan Wan, Yuheng Lin, Ke Chen, Bilei Zhu, Zejun Ma
2021 J jnl
How Neural Processes Improve Graph Link Prediction.
CoRR
Huidong Liang, Junbin Gao
2021 J jnl
Wasserstein Adversarially Regularized Graph Autoencoder.
CoRR
Huidong Liang, Junbin Gao