Hai Zhang
12 papers · 2023–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(35)
π
Grand Slam
π
Century Club
(12)
ποΈ
Keyword Collector
(52)
β‘
Prolific Year
(5)
Conferences
NIPS (3)
AAAI (2)
JMLR (2)
CORL (1)
CVPR (1)
ICLR (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
representation learning
(1)
few-shot learning
(1)
offline reinforcement learning
(1)
policy optimization
(1)
domain generalization
(1)
spectral clustering
(1)
transfer learning
(1)
pose estimation
(1)
prototype learning
(1)
distributed learning
(1)
point cloud
(1)
privacy preservation
(1)
image reconstruction
(1)
image editing
(1)
sensor fusion
(1)
semantic alignment
(1)
visual reinforcement learning
(1)
privacy-preserving learning
(1)
mutual information
(1)
information theory
(1)
Papers
KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation
CORL 2025
Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
MICCAI 2025
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
ICLR 2025
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
ICML 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
JMLR 2025
Simple Semantic-Aided Few-Shot Learning
CVPR 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NIPS 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NIPS 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
Randomized Spectral Co-Clustering for Large-Scale Directed Networks
JMLR 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NIPS 2023