Feng Mao
7 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (15)
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Keyword Pioneer
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Hot Topic Early Bird
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Trend Setter
Conferences
AAAI (3)
ICCV (2)
ACL (1)
CVPR (1)
Top co-authors
Research topics
Keywords
concept drift
(1)
deep reinforcement learning
(1)
representation learning
(1)
image classification
(1)
reinforcement learning
(1)
semantic segmentation
(1)
image segmentation
(1)
multi-task learning
(1)
model selection
(1)
transfer learning
(1)
domain adaptation
(1)
feature selection
(1)
knowledge transfer
(1)
neural architecture
(1)
error detection
(1)
policy search
(1)
feature similarity
(1)
batch active learning
(1)
data stream
(1)
model compression
(1)
Papers
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)
AAAI 2023
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract)
AAAI 2023
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
AAAI 2023
MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction
ACL 2022
Self-Born Wiring for Neural Trees
ICCV 2021
Personalized Image Semantic Segmentation
ICCV 2021
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
CVPR 2020