Yuexiang Zhai
14 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(8)
Core AI
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Machine Learning
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Deep Learning
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Reinforcement Learning
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Learning Types Β· Deep Learning
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Computer Vision
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Keywords
reinforcement learning
(4)
multimodal large language model
(2)
l4-norm maximization
(2)
vision-language model
(2)
dictionary learning
(2)
large language model
(2)
principal component analysis
(1)
contrastive learning
(1)
transformer architecture
(1)
policy optimization
(1)
robotic manipulation
(1)
independent component analysis
(1)
imitation learning
(1)
matrix factorization
(1)
3d reconstruction
(1)
curriculum learning
(1)
sparse representation
(1)
non-convex optimization
(1)
geometric analysis
(1)
decision making
(1)
Papers
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
AAAI 2026
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
ICML 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
ICML 2025
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
NeurIPS 2024
RLIF: Interactive Imitation Learning as Reinforcement Learning
ICLR 2024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
JMLR 2024
Understanding the Complexity Gains of Single-Task RL with a Curriculum
ICML 2023
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
NeurIPS 2022
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NeurIPS 2021
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group
JMLR 2020
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning
ICLR 2020
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness
ICLR 2020
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image
ICCV 2019