Wenrui Dai

Orcid: 0000-0003-2522-5778

According to our database1, Wenrui Dai authored at least 138 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Revisiting Learned Image Compression With Statistical Measurement of Latent Representations.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention.
IEEE Trans. Multim., 2024

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences.
IEEE Trans. Multim., 2024

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance.
CoRR, 2024

Research on Reliability Allocation Method for Traction Power Supply System of Electrified Railways in Mountainous Areas.
IEEE Access, 2024

2023
BNET: Batch Normalization With Enhanced Linear Transformation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Learned Progressive Image Compression With Dead-Zone Quantizers.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Anisotropic Spherical Scattering Networks via Directional Spin Wavelet.
IEEE Trans. Signal Process., 2023

Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding.
IEEE Trans. Multim., 2023

QoE-Driven Adaptive Streaming for Point Clouds.
IEEE Trans. Multim., 2023

Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos.
IEEE J. Biomed. Health Informatics, 2023

Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification.
CoRR, 2023

scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data.
CoRR, 2023

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views.
CoRR, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
CoRR, 2023

Frequency-Aware Transformer for Learned Image Compression.
CoRR, 2023

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.
CoRR, 2023

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations.
CoRR, 2023

Learned Lossless Compression for JPEG via Frequency-Domain Prediction.
CoRR, 2023

Learned Progressive Image Compression With Spatial Autoregression.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Robust Point Cloud Classification With Permutohedral Lattice-based Representation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization.
Proceedings of the International Conference on Machine Learning, 2023

ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Point Cloud Upsampling with Dynamic Graph Scattering Transform.
Proceedings of the IEEE International Conference on Image Processing, 2023

Towards Unsupervised Domain Generalization for Face Anti-Spoofing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Causal Representations for Generalizable Face Anti Spoofing.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mixed-precision Deep Neural Network Quantization With Multiple Compression Rates.
Proceedings of the Data Compression Conference, 2023

Fully Integerized End-to-End Learned Image Compression.
Proceedings of the Data Compression Conference, 2023

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On the Convergence of Non-Convex Phase Retrieval With Denoising Priors.
IEEE Trans. Signal Process., 2022

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets.
IEEE Trans. Signal Inf. Process. over Networks, 2022

iPool - Information-Based Pooling in Hierarchical Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2022

VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers.
IEEE Trans. Knowl. Data Eng., 2022

RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling.
IEEE Trans. Circuits Syst. Video Technol., 2022

Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling.
CoRR, 2022

LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning.
CoRR, 2022

Weakly Supervised Region-Level Contrastive Learning for Efficient Object Detection.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Optimal Tile-Based Encoding for 360-Degree Video Streaming.
Proceedings of the Picture Coding Symposium, 2022

Tensor Network-Based Entropy Coding For Learned Image Compression.
Proceedings of the Picture Coding Symposium, 2022

Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Efficient Search for Efficient Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Improving Optical Flow Inference for Video Colorization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Mixed-Precision Quantization of U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Causal Intervention for Generalizable Face Anti-Spoofing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Bag of Instances Aggregation Boosts Self-supervised Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022

Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing.
Proceedings of the Computer Vision - ECCV 2022, 2022

SdAE: Self-distillated Masked Autoencoder.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Decoder for Learned Image Compression via Structured Pruning.
Proceedings of the Data Compression Conference, 2022

Graph Dictionary Learning for 3-D Point Cloud Compression.
Proceedings of the Data Compression Conference, 2022

Video Compression via Inter-frame Chroma Prediction.
Proceedings of the Data Compression Conference, 2022

Entropy Modeling via Gaussian Process Regression for Learned Image Compression.
Proceedings of the Data Compression Conference, 2022

Contrastive Regression for Domain Adaptation on Gaze Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction.
IEEE Trans. Signal Process., 2021

Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Multiscale Representation Learning of Graph Data With Node Affinity.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Multi-Scale Structured Dictionary Learning for 3-D Point Cloud Attribute Compression.
IEEE Trans. Circuits Syst. Video Technol., 2021

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets.
CoRR, 2021

Bag of Instances Aggregation Boosts Self-supervised Learning.
CoRR, 2021

Message Passing in Graph Convolution Networks via Adaptive Filter Banks.
CoRR, 2021

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation.
CoRR, 2021

Mixed-precision Quantization with Dynamical Hessian Matrix for Object Detection Network.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Uncertainty-aware robust adaptive video streaming with bayesian neural network and model predictive control.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

Monotonic Robust Policy Optimization with Model Discrepancy.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learned Image Compression with Channel-Wise Grouped Context Modeling.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Research on Intelligent Assignment Method of Radar Jamming Task in Electronic Air Defense Operation.
Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

QoE-Driven and Tile-Based Adaptive Streaming for Point Clouds.
Proceedings of the IEEE International Conference on Acoustics, 2021

Compressive Sensing via Unfolded 𝓁<sub>1</sub>-constrained Convolutional Sparse Coding.
Proceedings of the 31st Data Compression Conference, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.
Proceedings of the 31st Data Compression Conference, 2021

Hierarchical Graph Networks for 3D Human Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Iterative Deep Neural Network Quantization With Lipschitz Constraint.
IEEE Trans. Multim., 2020

Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis.
IEEE Trans. Circuits Syst. Video Technol., 2020

Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Adaptive lossless compression of skeleton sequences.
Signal Process. Image Commun., 2020

Key-Point Sequence Lossless Compression for Intelligent Video Analysis.
IEEE Multim., 2020

NCGNN: Node-level Capsule Graph Neural Network.
CoRR, 2020

MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization.
CoRR, 2020

Graph Pooling with Node Proximity for Hierarchical Representation Learning.
CoRR, 2020

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.
CoRR, 2020

Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

FedExg: Federated Learning with Model Exchange.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Structure-Aware Graph Construction For Point Cloud Segmentation With Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation.
Proceedings of the IEEE International Conference on Image Processing, 2020

REV-AE: A Learned Frame Set for Image Reconstruction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.
Proceedings of the Data Compression Conference, 2020

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Trained Rank Pruning for Efficient Deep Neural Networks.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Lossy Image Compression with Filter Bank Based Convolutional Networks.
Proceedings of the Data Compression Conference, 2019

MSGCNN: Multi-scale Graph Convolutional Neural Network for Point Cloud Segmentation.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation.
IEEE Trans. Signal Process., 2018

Compressed Sensing via a Deep Convolutional Auto-encoder.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

2017
Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling.
IEEE Trans. Signal Process., 2017

Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding.
IEEE Trans. Image Process., 2017

Multiscale dictionary learning for hierarchical sparse representation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Extended conjugate polar fourier transforminconvolution network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Nonconvex Optimization with Alternating Direction Method of Multipliers for Tensor-Based Compressed Sensing with Group Sparsity.
Proceedings of the 2017 Data Compression Conference, 2017

Complementary Contextual Models with FM-Index for DNA Compression.
Proceedings of the 2017 Data Compression Conference, 2017

2016
Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding.
IEEE Trans. Image Process., 2016

Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE).
BMC Medical Informatics Decis. Mak., 2016

HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS.
Bioinform., 2016

Compressive Tensor Sampling with Structured Sparsity.
Proceedings of the 2016 Data Compression Conference, 2016

2015
FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption.
BMC Medical Informatics Decis. Mak., December, 2015

Generalized Context Modeling With Multi-Directional Structuring and MDL-Based Model Selection for Heterogeneous Data Compression.
IEEE Trans. Signal Process., 2015

Progressive Dictionary Learning with Hierarchical Structure for Scalable Video Coding.
Proceedings of the 2015 Data Compression Conference, 2015

Adaptive Submodular Dictionary Selection for Sparse Representation Modeling with Application to Image Super-Resolution.
Proceedings of the 2015 Data Compression Conference, 2015

Subspace Learning with Structured Sparsity for Compressive Video Sampling.
Proceedings of the 2015 Data Compression Conference, 2015

Bi-Directional Context Modeling with Combinatorial Structuring for Genome Sequence Compression.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding.
IEEE Trans. Image Process., 2014

Gaussian Process Regression Based Prediction for Lossless Image Coding.
Proceedings of the Data Compression Conference, 2014

Regional context model and dynamic Huffman binarization for adaptive entropy coding of multimedia.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

2013
Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding.
IEEE Trans. Circuits Syst. Video Technol., 2013

Genome Sequence Compression with Distributed Source Coding.
Proceedings of the 2013 Data Compression Conference, 2013

An Adaptive Difference Distribution-Based Coding with Hierarchical Tree Structure for DNA Sequence Compression.
Proceedings of the 2013 Data Compression Conference, 2013

2012
Optimal intra coding of HEVC by structured set prediction mode with discriminative learning.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

Discriminative structured set prediction modeling with max-margin Markov network for optimal lossless image coding.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

2011
Bitwise Structured Prediction Model for Lossless Image Coding.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2008
On Non-sequential Context Modeling with Application to Executable Data Compression.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

2000
User Oriented Integration of Sensor Operations in a Offline Programming System for Welding Robots.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000


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