Hui Xue

Orcid: 0000-0002-2093-2839

Affiliations:
  • Alibaba Group, Beijing, China


According to our database1, Hui Xue authored at least 82 papers between 2018 and 2024.

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Bibliography

2024
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective.
Int. J. Comput. Vis., October, 2024

Context-Aware Robust Fine-Tuning.
Int. J. Comput. Vis., May, 2024

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.
IEEE Trans. Inf. Forensics Secur., 2024

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations.
CoRR, 2024

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.
CoRR, 2024

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models.
CoRR, 2024

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.
CoRR, 2024

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Large Language Model with Curriculum Reasoning for Visual Concept Recognition.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

R<sup>4</sup>: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
To make yourself invisible with Adversarial Semantic Contours.
Comput. Vis. Image Underst., April, 2023

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.
CoRR, 2023

Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain.
CoRR, 2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
CoRR, 2023

Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization.
Proceedings of the ACM Web Conference 2023, 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Inversion Attack via Dynamic Memory Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FairRec: Fairness Testing for Deep Recommender Systems.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

DR-Net: A Multi-View Face Synthesis Network Driven by Dual Representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Budgeted Training for Vision Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Inequality phenomenon in l<sub>∞</sub>-adversarial training, and its unrealized threats.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Vocabulary Object Detection With an Open Corpus.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding.
Proceedings of the Database Systems for Advanced Applications, 2023

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Incremental Graph Classification by Class Prototype Construction and Augmentation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
HiSA: Hierarchically Semantic Associating for Video Temporal Grounding.
IEEE Trans. Image Process., 2022

Context-Aware Robust Fine-Tuning.
CoRR, 2022

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention.
CoRR, 2022

Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition.
CoRR, 2022

Boosting Out-of-distribution Detection with Typical Features.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhance the Visual Representation via Discrete Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains.
Proceedings of the Tenth International Conference on Learning Representations, 2022

LightPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2022

MAKD: MULTIPLE Auxiliary Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2022

RoChBert: Towards Robust BERT Fine-tuning for Chinese.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multiple Instance Learning for Offensive Language Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Robust Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos.
IEEE Signal Process. Lett., 2021

Unrestricted Adversarial Attacks on ImageNet Competition.
CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition.
CoRR, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition.
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.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Towards Face Encryption by Generating Adversarial Identity Masks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Supervised Learning for Few-Shot Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Composite Adversarial Attacks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GAP++: Learning to generate target-conditioned adversarial examples.
CoRR, 2020

Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN).
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Sharp Multiple Instance Learning for DeepFake Video Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Smart Fire Alarm System with Person Detection and Thermal Camera.
Proceedings of the Computational Science - ICCS 2020, 2020

Learning to Characterize Adversarial Subspaces.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hierarchical Sequence Representation with Graph Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Adversarial Training.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Visual Inductive Priors Framework for Data-Efficient Image Classification.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift.
CoRR, 2019

AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients.
CoRR, 2019

Deep Features Analysis with Attention Networks.
CoRR, 2019

Hybrid Sequence Encoder for Text Based Video Retrieval.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


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