Gongxu Luo - RankMe

18 papers A* 5Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alignclip: navigating the misalignments for robust vision-language generalization. Mach. Learn. Zhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
2025	A*	`conf`	Causal Representation Learning from Multimodal Biomedical Observations. ICLR 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
2025	J	`jnl`	Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data. CoRR Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang
2025	J	`jnl`	Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. CoRR Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang
2025	J	`jnl`	PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits. CoRR Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang
2025	A*	`conf`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. ICLR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025	J	`jnl`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. CoRR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Causal Representation Learning from Multimodal Biological Observations. CoRR 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
2024	A*	`conf`	Federated Causal Discovery from Heterogeneous Data. ICLR Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
2024	J	`jnl`	Federated Causal Discovery from Heterogeneous Data. CoRR Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
2024	A*	`conf`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. ICLR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2024	J	`jnl`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. CoRR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2022	—	`conf`	Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang
2021	A*	`conf`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages. CoRR Chenyang Li, Gongxu Luo
2020	J	`jnl`	Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation. Future Internet Wenbo Zhang, Xiao Li, Yating Yang, Rui Dong, Gongxu Luo
2019	J	`jnl`	Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation. IEEE Access Gongxu Luo, Yating Yang, Yang Yuan, Zhanheng Chen, Aizimaiti Ainiwaer