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Junchi Yu
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2020 – today
- 2024
- [j4]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): 1650-1663 (2024) - [c8]Junchi Yu, Ran He, Zhitao Ying:
Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. ICLR 2024 - 2023
- [j3]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46(2): 64-79 (2023) - [j2]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): 8920-8935 (2023) - [c7]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR 2023: 11620-11630 - [c6]Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang:
Rumor Detection with Diverse Counterfactual Evidence. KDD 2023: 3321-3331 - [i12]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR abs/2303.14859 (2023) - [i11]Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang:
Rumor Detection with Diverse Counterfactual Evidence. CoRR abs/2307.09296 (2023) - [i10]Junchi Yu, Ran He, Rex Ying:
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. CoRR abs/2310.03965 (2023) - [i9]Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanations for Graph Neural Network: Methods and Evaluations. CoRR abs/2311.05764 (2023) - 2022
- [j1]Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He:
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [c5]Junchi Yu, Jie Cao, Ran He:
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CVPR 2022: 19374-19383 - [c4]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: 4838-4839 - [i8]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 abs/2205.10014 (2022) - [i7]Junchi Yu, Jian Liang, Ran He:
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR abs/2206.09345 (2022) - [i6]Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. CoRR abs/2210.15137 (2022) - 2021
- [c3]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. ICLR 2021 - [i5]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR abs/2103.11155 (2021) - [i4]Junchi Yu, Tingyang Xu, Ran He:
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR abs/2112.09895 (2021) - [i3]Junchi Yu, Jie Cao, Ran He:
Improving Subgraph Recognition with Variational Graph Information Bottleneck. CoRR abs/2112.09899 (2021) - 2020
- [i2]Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan:
Cosmetic-Aware Makeup Cleanser. CoRR abs/2004.09147 (2020) - [i1]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. CoRR abs/2010.05563 (2020)
2010 – 2019
- 2019
- [c2]Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan:
Semantic-Aware Makeup Cleanser. BTAS 2019: 1-7 - [c1]Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He:
Pose-preserving Cross Spectral Face Hallucination. IJCAI 2019: 1018-1024
Coauthor Index
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last updated on 2024-10-17 21:33 CEST by the dblp team
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