Yao Qin
21 papers · 2015–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π§ Keyword Pioneer π Academic Marathon (10) π Conference Polyglot (10) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(41)
π§
Keyword Pioneer
π§¬
Topic Evolution
β‘
Prolific Year
(6)
π
Century Club
(21)
β
The Questioner
(3)
ποΈ
Keyword Collector
(84)
π₯
Unstoppable
(7)
Conferences
EMNLP (5)
CVPR (3)
ICLR (3)
NIPS (3)
ICML (2)
AISTATS (1)
ECCV (1)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
prompt engineering
(3)
domain generalization
(2)
distribution shift
(2)
adversarial example
(2)
adversarial learning
(2)
data augmentation
(2)
neural network
(2)
large language model
(2)
adversarial training
(2)
text classification
(2)
model robustness
(2)
adversarial robustness
(2)
machine translation
(1)
attention mechanism
(1)
benchmark evaluation
(1)
feature extraction
(1)
vision transformer
(1)
multimodal learning
(1)
sentiment classification
(1)
ensemble learning
(1)
Papers
Detecting Out-of-Distribution Through the Lens of Neural Collapse
CVPR 2025
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV 2025
NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
ICLR 2025
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
EMNLP 2025
Initialization Matters for Adversarial Transfer Learning
CVPR 2024
Fast Decision Boundary based Out-of-Distribution Detector
ICML 2024
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
ICLR 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4
EMNLP 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
Automated Adversarial Discovery for Safety Classifiers
NAACL 2024
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
NIPS 2023
Are Vision Transformers Robust to Patch Perturbations?
ECCV 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NIPS 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
EMNLP 2022
Improving Calibration through the Relationship with Adversarial Robustness
NIPS 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