Yuan He

Orcid: 0000-0002-6885-1341

Affiliations:

Alibaba Group, China

According to our database¹, Yuan He authored at least 74 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., July, 2025

AUCPro: AUC-Oriented Provable Robustness Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2025

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., February, 2025

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2025

Improving model generalization by on-manifold adversarial augmentation in the frequency domain.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2025

2024

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation.

[BibT_eX]

[DOI]

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

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm.

[BibT_eX]

[DOI]

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

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations.

[BibT_eX]

[DOI]

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

AUC-Oriented Domain Adaptation: From Theory to Algorithm.

[BibT_eX]

[DOI]

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

Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., October, 2023

Optimizing Two-Way Partial AUC With an End-to-End Framework.

[BibT_eX]

[DOI]

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

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency.

[BibT_eX]

[DOI]

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

Optimizing Partial Area Under the Top-k Curve: Theory and Practice.

[BibT_eX]

[DOI]

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

To make yourself invisible with Adversarial Semantic Contours.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., April, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DR-Net: A Multi-View Face Synthesis Network Driven by Dual Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Budgeted Training for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Vocabulary Object Detection With an Open Corpus.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Reading-Strategy Inspired Visual Representation Learning for Text-to-Video Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Robustness enhancement against adversarial steganography via steganalyzer outputs.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2022

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OpenAUC: Towards AUC-Oriented Open-Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

MAKD: MULTIPLE Auxiliary Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Robust Vision Transformer.

[BibT_eX]

[DOI]

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

2021

Deep Attributed Network Embedding by Preserving Structure and Attribute Information.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Unrestricted Adversarial Attacks on ImageNet Competition.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.

[BibT_eX]

[DOI]

CoRR, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Multiple Pairwise Ranking Networks for Personalized Video Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvDrop: Adversarial Attack to DNNs by Dropping Information.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Similarity Learning for Language-Based Product Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Supervised Learning for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sketch, Ground, and Refine: Top-Down Dense Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Composite Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

GAP++: Learning to generate target-conditioned adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2020

Heuristic Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sharp Multiple Instance Learning for DeepFake Video Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning to Characterize Adversarial Subspaces.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hierarchical Sequence Representation with Graph Network.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Visual Inductive Priors Framework for Data-Efficient Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Text Captcha Is Dead? A Large Scale Deployment and Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift.

[BibT_eX]

[DOI]

CoRR, 2019

AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients.

[BibT_eX]

[DOI]

CoRR, 2019

Hybrid Sequence Encoder for Text Based Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Dual Encoding for Zero-Example Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Yuan He

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