Mei Wang
14 papers · 2019–2026 · 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
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33)
🧬
Topic Evolution
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(10)
Computer Vision
(8)
Analysis
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(5)
Learning Types
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
Core Methods
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Domain-Specific
(1)
Keywords
face recognition
(4)
reinforcement learning
(2)
person re-identification
(2)
feature extraction
(2)
knowledge distillation
(2)
attention mechanism
(2)
deep q-learning
(2)
representation learning
(2)
incremental learning
(1)
domain adaptation
(1)
mathematical reasoning
(1)
domain generalization
(1)
deformable convolution
(1)
data-free learning
(1)
fine-grained classification
(1)
object detection
(1)
feature representation
(1)
class imbalance
(1)
label noise
(1)
feature learning
(1)
Papers
Planning-Guided Tutoring with Assessment-Driven Memory for Pedagogical LLM Tutors
ACL 2026
Revisiting Attention in the Dark for Low-Light Person Re-Identiffcation
AAAI 2026
SMART: Evaluating LLMs’ Mathematical Reasoning via a Human Cognitive Process-Inspired Benchmark
ACL 2026
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection
AAAI 2025
Faceptor: A Generalist Model for Face Perception
ECCV 2024
Acoustic Sensing and Communication Using Metasurface
NSDI 2023
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method
ACML 2023
Augmented Geometric Distillation for Data-Free Incremental Person ReID
CVPR 2022
MAVL: Multiresolution Analysis of Voice Localization
NSDI 2021
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
CVPR 2020
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
CVPR 2020
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
ICCV 2019
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network
ICCV 2019
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
CVPR 2019