Xing Liu
20 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
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Conferences
CVPR (7)
ICML (3)
NIPS (2)
AAAI (1)
AISTATS (1)
COLT (1)
ICCV (1)
JMLR (1)
MICCAI (1)
OSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
diffusion model
(4)
texture generation
(3)
bayesian inference
(2)
neural network
(2)
image generation
(2)
distribution testing
(2)
convolutional neural network
(2)
octree structure
(2)
image restoration
(2)
texture synthesis
(2)
structure from motion
(1)
face recognition
(1)
point cloud
(1)
image synthesis
(1)
feature quantization
(1)
high-dimensional inference
(1)
robust statistics
(1)
hierarchical reinforcement learning
(1)
markov chain monte carlo
(1)
attention mechanism
(1)
Papers
3One2: One-Step Regression plus One-Step Diffusion for One-Hot Modulation in Dual-Path Video Snapshot Compressive Imaging
AAAI 2026
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer
CVPR 2025
OSDFace: One-Step Diffusion Model for Face Restoration
CVPR 2025
TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
CVPR 2025
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
ICML 2025
On the Robustness of Kernel Goodness-of-Fit Tests
JMLR 2025
Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion
MICCAI 2025
TexOct: Generating Textures of 3D Models with Octree-based Diffusion
CVPR 2024
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
WACV 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
ICML 2024
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models
OSDI 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
ICML 2023
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
COLT 2023
Grassmann Stein Variational Gradient Descent
AISTATS 2022
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
NIPS 2021
Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes
ICCV 2021
Bayesian Probabilistic Numerical Integration with Tree-Based Models
NIPS 2020
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
CVPR 2019
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
CVPR 2019
Feature Quantization for Defending Against Distortion of Images
CVPR 2018