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Debo Cheng

Showing results (1-10 of 9) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|October 11, 2025
Toward fair graph neural networks via dual-teacher knowledge distillationChengyu Li, Debo Cheng, Guixian Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2024
Disentangled contrastive learning for fair graph representationsGuixian Zhang, Guan Yuan, Debo Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 5, 2023
Discovering Ancestral Instrumental Variables for Causal Inference From Observational DataDebo Cheng, Jiuyong Li, Lin Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2022
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden VariablesDebo Cheng, Jiuyong Li, Lin Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 26, 2025
Learning instrumental variable representation for debiasing in recommender systemsZhirong Huang, Shichao Zhang, Debo Cheng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 2, 2026
Learning fair graph representation through graph information disentanglementQingfeng Chen, Wujie Wei, Debo Cheng, et al.
Methods (San Diego, Calif.)|September 1, 2024
Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventionsWenting Ye, Chen Li, Wen Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Disentangled Representation Learning for Causal Inference With InstrumentsDebo Cheng, Jiuyong Li, Lin Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 19, 2026
Learning fair representation for fine-tuning pre-trained language modelsKe Wang, Yinghao Zhang, Hong-Yu Zhang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|October 11, 2025
Toward fair graph neural networks via dual-teacher knowledge distillationChengyu Li, Debo Cheng, Guixian Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2024
Disentangled contrastive learning for fair graph representationsGuixian Zhang, Guan Yuan, Debo Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 5, 2023
Discovering Ancestral Instrumental Variables for Causal Inference From Observational DataDebo Cheng, Jiuyong Li, Lin Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2022
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden VariablesDebo Cheng, Jiuyong Li, Lin Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 26, 2025
Learning instrumental variable representation for debiasing in recommender systemsZhirong Huang, Shichao Zhang, Debo Cheng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 2, 2026
Learning fair graph representation through graph information disentanglementQingfeng Chen, Wujie Wei, Debo Cheng, et al.
Methods (San Diego, Calif.)|September 1, 2024
Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventionsWenting Ye, Chen Li, Wen Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Disentangled Representation Learning for Causal Inference With InstrumentsDebo Cheng, Jiuyong Li, Lin Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 19, 2026
Learning fair representation for fine-tuning pre-trained language modelsKe Wang, Yinghao Zhang, Hong-Yu Zhang, et al.
Pageof 1