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hui xue

52 papers · 2016–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (13) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ† Keyword Champion (4) πŸ’Ž Century Club (49) ⚑ Prolific Year (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (239) πŸ”₯ Unstoppable (7)

Conferences

AAAI (10) IJCAI (10) CVPR (7) ACL (4) COLING (4) EMNLP (4) ICCV (4) ICML (3) INTERSPEECH (2) ICLR (1) MICCAI (1) NIPS (1) WACV (1)

Top co-authors

Longtao Huang (12) Pengfei Fang (10) YueFeng Chen (9) Yuan He (8) Rong Zhang (5) Hang Su (4) Xiaofeng Mao (4) Xiaodan Li (4) Shipeng Zhu (4) Zheng-Fan Wu (4)

Research topics

Privacy (1)

Keywords

adversarial attack (6) zero-shot learning (5) data augmentation (4) spectral kernel (4) adversarial robustness (4) few-shot learning (4) robustness evaluation (4) adversarial learning (3) kernel methods (3) domain adaptation (3) representation learning (3) image restoration (3) attention mechanism (2) catastrophic forgetting (2) contrastive learning (2) continual learning (2) embedding learning (2) metric learning (2) curriculum learning (2) image classification (2)

Papers

HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning AAAI 2026
Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces AAAI 2026
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning AAAI 2025
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering ICML 2025
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency ICCV 2025
Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025
Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation MICCAI 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ICML 2025
Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper INTERSPEECH 2024
Synthesizing Coherent Story With Auto-Regressive Latent Diffusion Models WACV 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models COLING 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding COLING 2024
One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications CVPR 2024
Text Image Inpainting via Global Structure-Guided Diffusion Models AAAI 2024
Copula-Nested Spectral Kernel Network ICML 2024
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training INTERSPEECH 2023
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network AAAI 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023
Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023
Open-Vocabulary Object Detection With an Open Corpus ICCV 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts ICCV 2023
Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss IJCAI 2023
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023
CosNet: A Generalized Spectral Kernel Network NIPS 2023
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation EMNLP 2022
Towards Robust Vision Transformer CVPR 2022
Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles IJCAI 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022
Multiple Instance Learning for Offensive Language Detection EMNLP 2022
Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021
QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021
Composite Adversarial Attacks AAAI 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain CVPR 2021
Cut out the annotator, keep the cutout: better segmentation with weak supervision ICLR 2021
Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection CVPR 2020
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ACL 2020
Deep Spectral Kernel Learning IJCAI 2019
Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017
Logistic Boosting Regression for Label Distribution Learning CVPR 2016
Ranking Responses Oriented to Conversational Relevance in Chat-bots COLING 2016