Junchi Yu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Face Hallucination

Information Flows

Graph Databases

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Junchi Yu, Ran He, Zhitao Ying
Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. ICLR (2024)
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
Generative Explanations for Graph Neural Network: Methods and Evaluations. CoRR (2023)
Junchi Yu, Ran He, Rex Ying
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. CoRR (2023)
Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
Rumor Detection with Diverse Counterfactual Evidence. CoRR (2023)
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46 (2) (2023)
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
Rumor Detection with Diverse Counterfactual Evidence. KDD (2023)
Junchi Yu, Jian Liang, Ran He
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR (2023)
Junchi Yu, Jian Liang, Ran He
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR (2023)
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
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Junchi Yu, Jie Cao, Ran He
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CVPR (2022)
Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD (2022)
Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. CoRR (2022)
Junchi Yu, Jian Liang, Ran He
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR (2022)
Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126 (2022)
Junchi Yu, Tingyang Xu, Ran He
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR (2021)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR (2021)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Graph Information Bottleneck for Subgraph Recognition. ICLR (2021)
Junchi Yu, Jie Cao, Ran He
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CoRR (2021)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Graph Information Bottleneck for Subgraph Recognition. CoRR (2020)
Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan
Cosmetic-Aware Makeup Cleanser. CoRR (2020)
Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He
Pose-preserving Cross Spectral Face Hallucination. IJCAI (2019)
Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan
Semantic-Aware Makeup Cleanser. BTAS (2019)