Dehan Kong
8 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird
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Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Core AI
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Applications
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Generation
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
nonparametric regression
(2)
robustness evaluation
(2)
adversarial robustness
(1)
black-box optimization
(1)
principal component analysis
(1)
natural language processing
(1)
in-context learning
(1)
multiple instance learning
(1)
prompt engineering
(1)
offensive language detection
(1)
minimax optimization
(1)
low-rank approximation
(1)
outlier detection
(1)
cross validation
(1)
attention mechanism
(1)
variable selection
(1)
high-dimensional regression
(1)
minimax theory
(1)
bag-level labels
(1)
zero-shot learning
(1)
Papers
WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces
CVPR 2026
Adversarial Text Generation by Search and Learning
EMNLP 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
ACL 2023
Multiple Instance Learning for Offensive Language Detection
EMNLP 2022
Nonparametric Principal Subspace Regression
JMLR 2022
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model
JMLR 2021
Outlier Detection and Robust Estimation in Nonparametric Regression
AISTATS 2018