Yao Qin
22 papers · 2015–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(5)
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(3)
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Research topics
Machine Learning
(17)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(9)
Application Areas
(9)
Deep Learning
(8)
Natural Language Processing
(7)
Core AI
(6)
Core Methods
(5)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Computer Vision
(2)
Generation
(2)
Models
(2)
Keywords
prompt engineering
(3)
adversarial example
(3)
large language model
(3)
text classification
(2)
data augmentation
(2)
adversarial robustness
(2)
neural network
(2)
adversarial training
(2)
out-of-distribution detection
(2)
adversarial learning
(2)
model robustness
(2)
domain generalization
(2)
distribution shift
(2)
feature extraction
(1)
ensemble learning
(1)
domain adaptation
(1)
feature learning
(1)
benchmark evaluation
(1)
transfer learning
(1)
in-context learning
(1)
Papers
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV 2025
Detecting Out-of-Distribution Through the Lens of Neural Collapse
CVPR 2025
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
EMNLP 2025
NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
ICLR 2025
SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow
NeurIPS 2025
Automated Adversarial Discovery for Safety Classifiers
NAACL 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4
EMNLP 2024
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
ICLR 2024
Fast Decision Boundary based Out-of-Distribution Detector
ICML 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
Initialization Matters for Adversarial Transfer Learning
CVPR 2024
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
NeurIPS 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Are Vision Transformers Robust to Patch Perturbations?
ECCV 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
EMNLP 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NeurIPS 2022
Improving Calibration through the Relationship with Adversarial Robustness
NeurIPS 2021
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
ICLR 2020
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
ICML 2019
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
IJCAI 2017
Saliency Detection via Cellular Automata
CVPR 2015