Search Results for author: Junchi Yu

Found 12 papers, 5 papers with code

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

1 code implementation6 Oct 2023 Junchi Yu, Ran He, Rex Ying

These analogous problems are related to the input one, with reusable solutions and problem-solving strategies.

Prompt Engineering

Rumor Detection with Diverse Counterfactual Evidence

1 code implementation18 Jul 2023 Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiao-Yu Zhang

Our intuition is to exploit the diverse counterfactual evidence of an event graph to serve as multi-view interpretations, which are further aggregated for robust rumor detection results.

counterfactual Point Processes

Mind the Label Shift of Augmentation-based Graph OOD Generalization

1 code implementation CVPR 2023 Junchi Yu, Jian Liang, Ran He

Recent works employ different graph editions to generate augmented environments and learn an invariant GNN for generalization.

ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data

no code implementations27 Oct 2022 Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He

Then, we optimize the augmented samples by minimizing the norms of the data scores, i. e., the gradients of the log-density functions.

Data Augmentation Image Generation

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

no code implementations19 Jun 2022 Junchi Yu, Jian Liang, Ran He

Extensive experiments on both node-level and graph-level benchmarks shows that the proposed DPS achieves impressive performance for various graph domain generalization tasks.

Domain Generalization Out-of-Distribution Generalization

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

no code implementations18 Dec 2021 Junchi Yu, Tingyang Xu, Ran He

In this work, we address these key challenges and propose IFEXPLAINER, which generates a necessary and sufficient explanation for GNNs.

Improving Subgraph Recognition with Variational Graph Information Bottleneck

1 code implementation CVPR 2022 Junchi Yu, Jie Cao, Ran He

Subgraph recognition aims at discovering a compressed substructure of a graph that is most informative to the graph property.

Graph Classification

Graph Information Bottleneck for Subgraph Recognition

1 code implementation ICLR 2021 Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

In this paper, we propose a framework of Graph Information Bottleneck (GIB) for the subgraph recognition problem in deep graph learning.

Denoising Graph Classification +1

Cosmetic-Aware Makeup Cleanser

no code implementations20 Apr 2020 Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan

Face verification aims at determining whether a pair of face images belongs to the same identity.

Face Parsing Face Verification +1

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