Gongxu Luo

According to our database, Gongxu Luo authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data.

Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang

CoRR, September, 2025

PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits.

Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang

CoRR, September, 2025

Alignclip: navigating the misalignments for robust vision-language generalization.

Zhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu

Mach. Learn., March, 2025

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders.

Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang

CoRR, January, 2025

Causal Representation Learning from Multimodal Biomedical Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

When Selection Meets Intervention: Additional Complexities in Causal Discovery.

Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Representation Learning from Multimodal Biological Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

CoRR, 2024

Federated Causal Discovery from Heterogeneous Data.

Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View.

Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Multi-View Brain Network Analysis with Cross-View Missing Network Generation.

Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages.

Chenyang Li, Gongxu Luo

CoRR, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.

Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation.

Wenbo Zhang, Xiao Li, Yating Yang, Rui Dong, Gongxu Luo

Future Internet, 2020

2019

Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation.

Gongxu Luo, Yating Yang, Yang Yuan, Zhanheng Chen, Aizimaiti Ainiwaer

IEEE Access, 2019