Zhigang Li
8 papers · 2019–2023 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Reinforcement Learning
(3)
Analysis
(3)
Methods
(3)
Applications
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Core Methods
(1)
Keywords
graph neural network
(2)
reinforcement learning
(2)
pose estimation
(1)
domain adaptation
(1)
deep learning
(1)
computer vision
(1)
weakly supervised learning
(1)
reward function
(1)
cross-domain learning
(1)
policy learning
(1)
attention mechanism
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
mutual information
(1)
adversarial learning
(1)
generative model
(1)
traveling salesman problem
(1)
synthetic data
(1)
generative adversarial network
(1)
active learning
(1)
Papers
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
ICLR 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
IJCAI 2023
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
AAAI 2023
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
NeurIPS 2021
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
AAAI 2021
Adversarial Mutual Information Learning for Network Embedding
IJCAI 2020
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
CVPR 2020
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
ICCV 2019