Chenwei Wu
14 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(21)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Grand Slam
π
Conference Pioneer
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
π
Century Club
(14)
Conferences
ICML (4)
ICLR (3)
ACL (2)
NIPS (2)
AAAI (1)
EMNLP (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
large language model
(3)
feature learning
(2)
representation learning
(2)
gradient descent
(2)
sparse coding
(1)
data augmentation
(1)
benchmark evaluation
(1)
retrieval-augmented generation
(1)
tensor decomposition
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
masked training
(1)
learning to learn
(1)
autoregressive model
(1)
downstream task
(1)
convolutional network
(1)
treatment planning
(1)
electronic health record
(1)
question generation
(1)
transfer learning
(1)
Papers
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
AAAI 2025
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
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
ICML 2025
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
ACL 2025
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
MICCAI 2024
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
ACL 2024
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection
EMNLP 2024
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
ICML 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
ICML 2023
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
NIPS 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
NIPS 2020