Yuangang Pan

According to our database, Yuangang Pan authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Coarse-to-Fine Contrastive Learning on Graphs.

Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Differential-Critic GAN: Generating What You Want by a Cue of Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Learning node representations against perturbations.

Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang

Pattern Recognit., January, 2024

2023

Earning Extra Performance From Restrictive Feedbacks.

Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

ACM Trans. Inf. Syst., January, 2023

Sanitized Clustering against Confounding Bias.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

CoRR, 2023

2022

Domain-Adversarial Network Alignment.

Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang

IEEE Trans. Knowl. Data Eng., 2022

Fast and Robust Rank Aggregation against Model Misspecification.

Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, Masashi Sugiyama

J. Mach. Learn. Res., 2022

2021

Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation.

Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin

Neural Comput., 2021

Taming Overconfident Prediction on Unlabeled Data from Hindsight.

Jing Li, Yuangang Pan, Ivor W. Tsang

CoRR, 2021

TRIP: Refining Image-to-Image Translation via Rival Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

CoRR, 2021

2020

Secure Metric Learning via Differential Pairwise Privacy.

Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang

IEEE Trans. Inf. Forensics Secur., 2020

Multiview Alignment and Generation in CCA via Consistent Latent Encoding.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

Neural Comput., 2020

Stochastic Multichannel Ranking with Brain Dynamics Preferences.

Yuangang Pan, Ivor W. Tsang, Avinash Kumar Singh, Chin-Teng Lin, Masashi Sugiyama

Neural Comput., 2020

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

CoRR, 2020

Learning Robust Node Representations on Graphs.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan

CoRR, 2020

Multi-view Alignment and Generation in CCA via Consistent Latent Encoding.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

CoRR, 2020

2019

Robust Rank Aggregation and Its Applications

Yuangang Pan

PhD thesis, 2019

Millionaire: a hint-guided approach for crowdsourcing.

Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama

Mach. Learn., 2019

Probabilistic CCA with Implicit Distributions.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

CoRR, 2019

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Label Embedding with Partial Heterogeneous Contexts.

Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stagewise learning for noisy k-ary preferences.

Yuangang Pan, Bo Han, Ivor W. Tsang

Mach. Learn., 2018

Robust Plackett-Luce model for k-ary crowdsourced preferences.

Bo Han, Yuangang Pan, Ivor W. Tsang

Mach. Learn., 2018

Multi-Context Label Embedding.

Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang

CoRR, 2018