Chenwei Wu
14 papers · 2020–2025 · 7 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.
Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Core AI
(5)
Core Methods
(5)
Optimization & Theory
(5)
Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Clinical
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Keywords
large language model
(3)
representation learning
(2)
retrieval-augmented generation
(2)
data augmentation
(2)
gradient descent
(2)
empirical risk minimization
(2)
feature learning
(2)
low-rank approximation
(1)
sparse coding
(1)
multi-task learning
(1)
tensor decomposition
(1)
medical image analysis
(1)
autoregressive model
(1)
masked training
(1)
learning to learn
(1)
question generation
(1)
fmri
(1)
learning rate
(1)
functional brain networks
(1)
multimodal learning
(1)
Papers
Adam-mini: Use Fewer Learning Rates To Gain More
ICLR 2025
Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts
ICLR 2025
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
ACL 2025
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
AAAI 2025
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
ICML 2025
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
ACL 2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
MICCAI 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection
EMNLP 2024
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
NeurIPS 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
ICML 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
ICML 2023
Towards Understanding the Data Dependency of Mixup-style Training
ICLR 2022
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
ICML 2021
Beyond Lazy Training for Over-parameterized Tensor Decomposition
NeurIPS 2020