Huaimin Wang
16 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(14)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(77)
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(9)
Core AI
(7)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Reinforcement Learning
(6)
Applications
(5)
Learning Paradigms
(5)
Methods
(5)
Learning Types Β· Deep Learning
(4)
Computer Vision
(2)
Robotics
(2)
Application Areas
(2)
Capabilities
(2)
Speech & Audio
(1)
Keywords
catastrophic forgetting
(4)
knowledge distillation
(3)
multi-goal learning
(2)
class-incremental learning
(2)
uav control
(2)
reinforcement learning
(2)
policy optimization
(2)
continual learning
(2)
zero-shot learning
(1)
cross-modal learning
(1)
contrastive learning
(1)
visual question answering
(1)
distribution shift
(1)
out-of-distribution generalization
(1)
curriculum learning
(1)
model-based reinforcement learning
(1)
continuous control
(1)
markov decision process
(1)
medical image analysis
(1)
offline reinforcement learning
(1)
Papers
Decouple Your Discovery and Memory in Continual Generalized Category Discovery
CVPR 2026
Re-evaluating Continual VQA: Toward Fair and Robust Evaluation for Multimodal Continual Learning
CVPR 2026
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
AAAI 2025
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
ICML 2025
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
CVPR 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
AAAI 2025
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
ICLR 2025
Goal-Conditioned On-Policy Reinforcement Learning
NeurIPS 2024
Iterative Regularized Policy Optimization with Imperfect Demonstrations
ICML 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
AAAI 2024
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
NeurIPS 2024
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
IJCAI 2022
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
NeurIPS 2020
A Mobile Application for Sound Event Detection
IJCAI 2019
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model
IJCAI 2019
Data Sparseness in Linear SVM
IJCAI 2015