Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Yuling Jiao — most-cited papers & profile · Large Language Models
← authors
·
overview
Yuling Jiao
19
papers ·
40
citations ·
18
h-index
Ankang University · Wuhan University · Hubei University for Nationalities · Computational Physics (United States) · Hubei University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An error analysis of generative adversarial networks for learning distributions
2021 · 16 citations
Wasserstein-Wasserstein Auto-Encoders
2019 · 5 citations
Deep Generative Learning via Variational Gradient Flow
2019 · 4 citations
Wasserstein Generative Learning of Conditional Distribution
2021 · 2 citations
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
2023 · 2 citations
Quantum Compiling with Reinforcement Learning on a Superconducting Processor
2024 · 2 citations
Quantum Compiling with Reinforcement Learning on a Superconducting Processor
2024 · 2 citations
Non-Asymptotic Error Bounds for Bidirectional GANs
2021 · 1 citations
Convergence Analysis of Flow Matching in Latent Space with Transformers
2024 · 1 citations
Distributional Off-Policy Evaluation with Deep Quantile Process Regression
2026
Deep Bootstrap
2026
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension
2021
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
2022
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
2023
Deep conditional distribution learning via conditional Föllmer flow
2024
Topics
Conditioning & Control
GANs
Diffusion Models
stat.ML
cond-mat.stat-mech
Training & Sampling
Policy Gradient
Quantum Machine Learning
Quantum Algorithms
NISQ