Mengyu Wang
18 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (28)
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Keyword Pioneer
π
Conference Polyglot
(9)
π
Keyword Champion
(2)
π
Conference Pioneer
π
Century Club
(17)
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Prolific Year
(5)
ποΈ
Keyword Collector
(57)
Conferences
ICCV (4)
EMNLP (3)
ECCV (2)
MICCAI (2)
NIPS (2)
AAAI (1)
ACL (1)
COLING (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
question answering
(2)
one-class learning
(2)
large language model
(2)
medical imaging
(2)
image segmentation
(1)
metric learning
(1)
continual learning
(1)
anomaly detection
(1)
semantic segmentation
(1)
sparse representation
(1)
similarity learning
(1)
optimal transport
(1)
feature learning
(1)
natural language inference
(1)
question decomposition
(1)
semi-supervised learning
(1)
information retrieval
(1)
face recognition
(1)
feature embedding
(1)
catastrophic forgetting
(1)
Papers
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
ACL 2026
One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning
EMNLP 2025
FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval
EMNLP 2025
CharaConsist: Fine-Grained Consistent Character Generation
ICCV 2025
FiVE-Bench: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models
ICCV 2025
Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
MICCAI 2025
Region-Native Visual Tokenization
ECCV 2024
Modeling News Interactions and Influence for Financial Market Prediction
EMNLP 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
ICLR 2024
FairDiff: Fair Segmentation with Point-Image Diffusion
MICCAI 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
CVPR 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
ECCV 2024
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
NIPS 2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
ICCV 2023
Continual Learning by Using Information of Each Class Holistically
AAAI 2021
DAM: Discrepancy Alignment Metric for Face Recognition
ICCV 2021
Transformation of Dense and Sparse Text Representations
COLING 2020
HRN: A Holistic Approach to One Class Learning
NIPS 2020