Semantic-Aware Makeup Cleanser. - Yi Li 018; Huaibo Huang; Junchi Yu; Ran He 001; Tieniu Tan (BTAS, 2019)

Pose-preserving Cross Spectral Face Hallucination. - Junchi Yu; Jie Cao 002; Yi Li 018; Xiaofei Jia; Ran He 001 (IJCAI, 2019)

Cosmetic-Aware Makeup Cleanser. - Yi Li 018; Huaibo Huang; Junchi Yu; Ran He 001; Tieniu Tan (CoRR, 2020)

Graph Information Bottleneck for Subgraph Recognition. - Junchi Yu; Tingyang Xu; Yu Rong 001; Yatao Bian; Junzhou Huang; Ran He 001 (ICLR, 2021)

Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. - Junchi Yu; Tingyang Xu; Ran He 001 (CoRR, 2021)

Improving Subgraph Recognition with Variational Graph Information Bottleneck. - Junchi Yu; Jie Cao 002; Ran He 001 (CVPR, 2022)

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Yatao Bian; Hengtong Zhang; Jintang Li; Junchi Yu; Liang Chen 001; Chaochao Chen 001; Junzhou Huang (KDD, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. - Junchi Yu; Jian Liang 001; Ran He 001 (CoRR, 2022)

Structure-aware conditional variational auto-encoder for constrained molecule optimization. - Junchi Yu; Tingyang Xu; Yu Rong 001; Junzhou Huang; Ran He 001 (Pattern Recognit., 2022)

Mind the Label Shift of Augmentation-based Graph OOD Generalization. - Junchi Yu; Jian Liang 001; Ran He 001 (CVPR, 2023)

Rumor Detection with Diverse Counterfactual Evidence. - Kaiwei Zhang; Junchi Yu; Haichao Shi; Jian Liang 001; Xiaoyu Zhang 002 (KDD, 2023)

Generative Explanations for Graph Neural Network: Methods and Evaluations. - Jialin Chen; Kenza Amara; Junchi Yu; Rex Ying (CoRR, 2023)

Generative Explanation for Graph Neural Network: Methods and Evaluation. - Jialin Chen; Kenza Amara; Junchi Yu; Rex Ying (IEEE Data Eng. Bull., 2023)

ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. - Jie Cao 002; Mandi Luo; Junchi Yu; Ming-Hsuan Yang 001; Ran He 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. - Junchi Yu; Ran He 001; Zhitao Ying (ICLR, 2024)

Recognizing Predictive Substructures With Subgraph Information Bottleneck. - Junchi Yu; Tingyang Xu; Yu Rong 001; Yatao Bian; Junzhou Huang; Ran He 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)