Hai Zhang
12 papers · 2023–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Grand Slam
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Reinforcement Learning
(5)
Core AI
(5)
Optimization & Theory
(5)
Application Areas
(4)
Methods
(4)
Core Methods
(3)
Learning Types
(3)
Computer Vision
(2)
Deep Learning
(2)
Robotics
(2)
Capabilities
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
offline meta-reinforcement learning
(2)
mutual information
(2)
offline reinforcement learning
(2)
representation learning
(2)
domain generalization
(1)
spectral clustering
(1)
few-shot learning
(1)
prototype learning
(1)
pose estimation
(1)
distributed learning
(1)
point cloud
(1)
privacy preservation
(1)
image reconstruction
(1)
image editing
(1)
semantic alignment
(1)
sensor fusion
(1)
visual reinforcement learning
(1)
privacy-preserving learning
(1)
transfer learning
(1)
policy optimization
(1)
Papers
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
JMLR 2025
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
ICML 2025
Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
MICCAI 2025
KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation
CoRL 2025
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
ICLR 2025
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NeurIPS 2024
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
AAAI 2024
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
AAAI 2024
Simple Semantic-Aided Few-Shot Learning
CVPR 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NeurIPS 2024
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NeurIPS 2023
Randomized Spectral Co-Clustering for Large-Scale Directed Networks
JMLR 2023