Yan Li

papers

910

total citations

papers (13)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

NEURIPS 2023arXiv

citations

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

AAAI 2025arXiv

citations

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment

CVPR 2025arXiv

citations

Cross-Domain Product Representation Learning for Rich-Content E-Commerce

ICCV 2023arXiv

citations

MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion

ICCV 2025arXiv

citations

Cross-view Semantic Alignment for Livestreaming Product Recognition

ICCV 2023arXiv

citations

M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking

ICCV 2025

citations

Multi-Modality Cross Attention Network for Image and Sentence Matching

CVPR 2020

citations

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL

NEURIPS 2021

citations

Yan Li

papers (13)

TEA: Temporal Excitation and Aggregation for Action Recognition

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

Learning Multi-Dimensional Human Preference for Text-to-Image Generation

A Unified and General Framework for Continual Learning

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment

Cross-Domain Product Representation Learning for Rich-Content E-Commerce

MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion

Cross-view Semantic Alignment for Livestreaming Product Recognition

M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking

Multi-Modality Cross Attention Network for Image and Sentence Matching

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL

papers (13)

TEA: Temporal Excitation and Aggregation for Action Recognition

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

Learning Multi-Dimensional Human Preference for Text-to-Image Generation

A Unified and General Framework for Continual Learning

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment

Cross-Domain Product Representation Learning for Rich-Content E-Commerce

MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion

Cross-view Semantic Alignment for Livestreaming Product Recognition

M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking

Multi-Modality Cross Attention Network for Image and Sentence Matching

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL