Yuxin Chen

36

Papers

138

Total Citations

Papers (36)

Taming Rectified Flow for Inversion and Editing

Language Representations Can be What Recommenders Need: Findings and Potentials

Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization

Riemannian Consistency Model

Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?

Accelerating Convergence of Score-Based Diffusion Models, Provably

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context

Teaching Categories to Human Learners With Visual Explanations

Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation

ViLEM: Visual-Language Error Modeling for Image-Text Retrieval

Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Order-Prompted Tag Sequence Generation for Video Tagging

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

VisionMath: Vision-Form Mathematical Problem-Solving

Mamba-3VL: Taming State Space Model for 3D Vision Language Learning

DOGR: Towards Versatile Visual Document Grounding and Referring

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

Teaching Multiple Concepts to a Forgetful Learner

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models

Nonconvex Low-Rank Tensor Completion from Noisy Data

Landmark Ordinal Embedding

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

Teaching an Active Learner with Contrastive Examples

Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons

Community Recovery in Graphs with Locality

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion