Cheems Wang
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Application Areas
(4)
Core AI
(4)
Reinforcement Learning
(2)
Learning Types
(2)
Methods
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory
(1)
Keywords
meta learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
zero-shot learning
(1)
few-shot learning
(1)
domain adaptation
(1)
latent variable
(1)
low-rank adaptation
(1)
vision-language model
(1)
multimodal large language model
(1)
credit assignment
(1)
parameter efficiency
(1)
layer normalization
(1)
episodic reinforcement learning
(1)
conditional value at risk
(1)
neural process
(1)
large language model
(1)
reward redistribution
(1)
latent reward
(1)
task sampling
(1)
Papers
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
AAAI 2026
Neural Mixture Density Processes
CVPR 2026
DynaPrompt: Dynamic Test-Time Prompt Tuning
ICLR 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
ICML 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
AAAI 2025
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
ICML 2024