Junchi Yu

According to our database, Junchi Yu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Recognizing Predictive Substructures With Subgraph Information Bottleneck.

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models.

Junchi Yu, Ran He, Zhitao Ying

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data.

Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He

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

Generative Explanation for Graph Neural Network: Methods and Evaluation.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

IEEE Data Eng. Bull., 2023

Generative Explanations for Graph Neural Network: Methods and Evaluations.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

CoRR, 2023

Rumor Detection with Diverse Counterfactual Evidence.

Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mind the Label Shift of Augmentation-based Graph OOD Generalization.

Junchi Yu, Jian Liang, Ran He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Structure-aware conditional variational auto-encoder for constrained molecule optimization.

Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He

Pattern Recognit., 2022

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization.

Junchi Yu, Jian Liang, Ran He

CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao

CoRR, 2022

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Subgraph Recognition with Variational Graph Information Bottleneck.

Junchi Yu, Jie Cao, Ran He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows.

Junchi Yu, Tingyang Xu, Ran He

CoRR, 2021

Graph Information Bottleneck for Subgraph Recognition.

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Cosmetic-Aware Makeup Cleanser.

Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan

CoRR, 2020

2019

Pose-preserving Cross Spectral Face Hallucination.

Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semantic-Aware Makeup Cleanser.

Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan

Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019