Renjie Liao

Orcid: 0009-0001-1660-9959

According to our database¹, Renjie Liao authored at least 87 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Malicious domain detection based on semi-supervised learning and parameter optimization.

[BibT_eX]

[DOI]

Renjie Liao

Shuo Wang

IET Commun., April, 2024

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups.

[BibT_eX]

[DOI]

Yongxing Zhang

Donglin Yang

Renjie Liao

CoRR, 2024

Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos.

[BibT_eX]

[DOI]

CoRR, 2024

Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing.

[BibT_eX]

[DOI]

CoRR, 2024

Joint Generative Modeling of Scene Graphs and Images via Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Supervised Relation Alignment for Scene Graph Generation.

[BibT_eX]

[DOI]

Bicheng Xu

Renjie Liao

Leonid Sigal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

An Information-Theoretic Framework for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Memorization Capacity of Multi-Head Attention in Transformers.

[BibT_eX]

[DOI]

Sadegh Mahdavi

Renjie Liao

Christos Thrampoulidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution.

[BibT_eX]

[DOI]

Sadegh Mahdavi

Renjie Liao

Christos Thrampoulidis

Proceedings of the IEEE International Conference on Acoustics, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.

[BibT_eX]

[DOI]

S. Farhad Hosseini-Benvidi

Ahmad Mahmoudi-Aznaveh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks.

[BibT_eX]

[DOI]

Christos Thrampoulidis

Renjie Liao

Trans. Mach. Learn. Res., 2023

GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scaling Forward Gradient With Local Losses.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Specformer: Spectral Graph Neural Networks Meet Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Research On Tea Leaf Recognition Based On YOLOv5 Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Computing and Data Analysis, 2023

2022

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Latent Part-Whole Hierarchies for Point Clouds.

[BibT_eX]

[DOI]

Xiang Gao

Wei Hu

Renjie Liao

CoRR, 2022

Gaussian-Bernoulli RBMs Without Tears.

[BibT_eX]

[DOI]

CoRR, 2022

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep Learning on Graphs: Theory, Models, Algorithms and Applications.

[BibT_eX]

[DOI]

Renjie Liao

PhD thesis, 2021

Structure-Coherent Deep Feature Learning for Robust Face Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks.

[BibT_eX]

[DOI]

Renjie Liao

Raquel Urtasun

Richard S. Zemel

Proceedings of the 9th International Conference on Learning Representations, 2021

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Imitation Learning From Inconcurrent Multi-Agent Interactions.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Fast and Accurate: Structure Coherence Component for Face Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation.

[BibT_eX]

[DOI]

CoRR, 2020

SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Latent Variable Modelling with Hyperbolic Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

DSDNet: Deep Structured Self-driving Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Lane Graph Representations for Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Graph Generation with Graph Recurrent Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Deformable Filter Convolution for Point Cloud Reasoning.

[BibT_eX]

[DOI]

CoRR, 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

[BibT_eX]

[DOI]

CoRR, 2019

Incremental Few-Shot Learning with Attention Attractor Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Graph Generation with Graph Recurrent Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lorentzian Distance Learning for Hyperbolic Representations.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

LanczosNet: Multi-Scale Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

UPSNet: A Unified Panoptic Segmentation Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DARNet: Deep Active Ray Network for Building Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Neural Guided Constraint Logic Programming for Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reviving and Improving Recurrent Back-Propagation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Inference in probabilistic graphical models by Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Understanding Short-Horizon Bias in Stochastic Meta-Optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

NerveNet: Learning Structured Policy with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Graph Partition Neural Networks for Semi-Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Deep Structured Active Contours End-to-End.

[BibT_eX]

[DOI]

Diego Marcos

Devis Tuia

Benjamin Kellenberger

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to generate images with perceptual similarity metrics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Detail-Revealing Deep Video Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

3D Graph Neural Networks for RGBD Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Situation Recognition with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Learning Deep Parsimonious Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Personal object discovery in first-person videos.

[BibT_eX]

[DOI]

Cewu Lu

Renjie Liao

Jiaya Jia

IEEE Trans. Image Process., 2015

Bounded-Distortion Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Edge-Aware Filters.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Semantic Segmentation with Object Clique Potential.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Video Super-Resolution via Deep Draft-Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Handling motion blur in multi-frame super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Nonparametric bayesian upstream supervised multi-modal topic models.

[BibT_eX]

[DOI]

Renjie Liao

Jun Zhu

Zengchang Qin

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

A confidence growing model for super-resolution.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning Important Spatial Pooling Regions for Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

CoDeL: A Human Co-detection and Labeling Framework.

[BibT_eX]

[DOI]

Jianping Shi

Renjie Liao

Jiaya Jia

Proceedings of the IEEE International Conference on Computer Vision, 2013

A robust fusion scheme for multifocus images using sparse features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Image Super-Resolution Using Local Learnable Kernel Regression.

[BibT_eX]

[DOI]

Renjie Liao

Zengchang Qin

Proceedings of the Computer Vision - ACCV 2012, 2012

2010

Improved Quantum Particle Swarm Optimization by Bloch Sphere.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

A novel serial crime prediction model based on Bayesian learning theory.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Renjie Liao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...