Mei Wang
14 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(5)
🌈
Renaissance Researcher
(6)
💎
Century Club
(11)
🔥
Unstoppable
(7)
🗃️
Keyword Collector
(63)
Conferences
CVPR (4)
AAAI (2)
ACL (2)
ICCV (2)
NSDI (2)
ACML (1)
ECCV (1)
Top co-authors
Keywords
face recognition
(4)
feature extraction
(2)
representation learning
(2)
person re-identification
(2)
reinforcement learning
(2)
knowledge distillation
(2)
attention mechanism
(2)
deep q-learning
(2)
fine-grained classification
(1)
incremental learning
(1)
domain adaptation
(1)
privacy preserving
(1)
domain generalization
(1)
mathematical reasoning
(1)
feature representation
(1)
data-free learning
(1)
class imbalance
(1)
label noise
(1)
deformable convolution
(1)
feature learning
(1)
Papers
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
Planning-Guided Tutoring with Assessment-Driven Memory for Pedagogical LLM Tutors
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
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
CVPR 2020
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
CVPR 2020
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
ICCV 2019
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
CVPR 2019
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network
ICCV 2019