Jun Chen

Orcid: 0000-0002-8084-9332

Affiliations:
  • McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA (2006 - 2007)
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA (2005 - 2006)
  • Cornell University, Ithaca, NY, USA (PhD 2006)
  • Shanghai Jiao Tong University, China (until 2001)


According to our database1, Jun Chen authored at least 155 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
New Proofs of Gaussian Extremal Inequalities With Applications.
IEEE Trans. Inf. Theory, May, 2024

Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity.
IEEE Trans. Inf. Theory, April, 2024

M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion.
IEEE Trans. Commun., 2024

Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey.
CoRR, 2024

2023
GridDehazeNet+: An Enhanced Multi-Scale Network With Intra-Task Knowledge Transfer for Single Image Dehazing.
IEEE Trans. Intell. Transp. Syst., January, 2023

A Shannon-Theoretic Approach to the Storage-Retrieval Trade-Off in PIR Systems.
Inf., January, 2023

Fast Human Pose Estimation in Compressed Videos.
IEEE Trans. Multim., 2023

Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint Learning.
IEEE Trans. Multim., 2023

Constrained Secrecy Capacity of Finite-Input Intersymbol Interference Wiretap Channels.
IEEE Trans. Commun., 2023

Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure.
IEEE Access, 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

The Cardinality Bound on the Information Bottleneck Representations is Tight.
Proceedings of the IEEE International Symposium on Information Theory, 2023

M22: Rate-Distortion Inspired Gradient Compression.
Proceedings of the IEEE International Conference on Acoustics, 2023

Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
On the Rate-Distortion-Perception Function.
IEEE J. Sel. Areas Inf. Theory, December, 2022

Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport.
IEEE J. Sel. Areas Inf. Theory, September, 2022

On Optimal Power Control for Energy Harvesting Communications With Lookahead.
IEEE Trans. Wirel. Commun., 2022

Video Frame Interpolation via Generalized Deformable Convolution.
IEEE Trans. Multim., 2022

Energy-Aware Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks.
IEEE Trans. Green Commun. Netw., 2022

PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization.
IEEE Trans. Circuits Syst. Video Technol., 2022

On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources.
IEEE Trans. Commun., 2022

Learning for Unconstrained Space-Time Video Super-Resolution.
IEEE Trans. Broadcast., 2022

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing.
Inf., 2022

Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.
Proceedings of the Computer Vision, 2022

Video Frame Interpolation Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Multi-domain Single Image Dehazing via Test-time Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Vector Gaussian Successive Refinement With Degraded Side Information.
IEEE Trans. Inf. Theory, 2021

On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications.
IEEE Trans. Inf. Theory, 2021

Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference.
IEEE Trans. Image Process., 2021

Decoding Polar Codes for a Generalized Gilbert-Elliott Channel With Unknown Parameter.
IEEE Trans. Commun., 2021

Error Probability of Distributed Arithmetic Coding.
IEEE Commun. Lett., 2021

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network.
CoRR, 2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.
CoRR, 2021

Towards a Unified Approach to Single Image Deraining and Dehazing.
CoRR, 2021

GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing.
CoRR, 2021

Learning for Unconstrained Space-Time Video Super-Resolution.
CoRR, 2021

Constrained Secrecy Capacity of Partial-Response Wiretap Channels.
CoRR, 2021

Single Shot Multibox Detector With Deconvolutional Region Magnification Procedure.
IEEE Access, 2021

Indirect Domain Shift for Single Image Dehazing.
IEEE Access, 2021

Universal Rate-Distortion-Perception Representations for Lossy Compression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finite-Input Intersymbol Interference Wiretap Channels.
Proceedings of the IEEE Information Theory Workshop, 2021

Type Graphs and Small-Set Expansion.
Proceedings of the IEEE International Symposium on Information Theory, 2021

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications.
IEEE Trans. Wirel. Commun., 2020

Generalized Gaussian Multiterminal Source Coding: The Symmetric Case.
IEEE Trans. Inf. Theory, 2020

Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime.
IEEE Trans. Commun., 2020

Joint Component Design for the JSCC System Based on DP-LDPC Codes.
IEEE Trans. Commun., 2020

Lattice-Based Robust Distributed Source Coding for Three Correlated Sources.
IEEE Trans. Commun., 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR, 2020

Video Interpolation via Generalized Deformable Convolution.
CoRR, 2020

End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Energy-Awareness Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020


AWNet: Attentive Wavelet Network for Image ISP.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


2019
Intrinsic Capacity.
IEEE Trans. Inf. Theory, 2019

Capacity-Achieving Private Information Retrieval Codes With Optimal Message Size and Upload Cost.
IEEE Trans. Inf. Theory, 2019

Lattice-Based Robust Distributed Source Coding.
IEEE Trans. Inf. Theory, 2019

Robust Distributed Compression of Symmetrically Correlated Gaussian Sources.
IEEE Trans. Commun., 2019

Successive Wyner-Ziv Coding for the Binary CEO Problem Under Logarithmic Loss.
IEEE Trans. Commun., 2019

Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network.
IEEE Signal Process. Lett., 2019

Underwater Image Restoration Based on a Parallel Convolutional Neural Network.
Remote. Sens., 2019

融合权重与卷积核删减的SSD网络压缩 (SSD Network Compression Fusing Weight and Filter Pruning).
计算机科学, 2019

Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding.
Entropy, 2019

A Monotone Path Proof of an Extremal Result for Long Markov Chains.
Entropy, 2019

The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals.
Proceedings of the IEEE International Symposium on Information Theory, 2019

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Extremal Results for the Relative-Entropy Ratio of Collinear Probability Distributions.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019

Image Retrieval via Canonical Correlation Analysis.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019

2018
Caching and Delivery via Interference Elimination.
IEEE Trans. Inf. Theory, 2018

Analysis and Code Design for the Binary CEO Problem Under Logarithmic Loss.
IEEE Trans. Commun., 2018

Index Mapping for Bit-Error Resilient Multiple Description Lattice Vector Quantizer.
IEEE Trans. Commun., 2018

Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing.
CoRR, 2018

Successive Wyner-Ziv Coding for the Binary CEO Problem under Log-Loss.
CoRR, 2018

Binary CEO Problem under Log-Loss with BSC Test-Channel Model.
CoRR, 2018

A Geometric Property of Relative Entropy and the Universal Threshold Phenomenon for Binary-Input Channels with Noisy State Information at the Encoder.
Proceedings of the IEEE Information Theory Workshop, 2018

A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Symmetric Generalized Gaussian Multiterminal Source Coding.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State?
IEEE Trans. Inf. Theory, 2017

The Sum Rate of Vector Gaussian Multiple Description Coding With Tree-Structured Covariance Distortion Constraints.
IEEE Trans. Inf. Theory, 2017

Matched Multiuser Gaussian Source Channel Communications via Uncoded Schemes.
IEEE Trans. Inf. Theory, 2017

A Truncated Prediction Framework for Streaming Over Erasure Channels.
IEEE Trans. Inf. Theory, 2017

Generalized Gaussian multiterminal source coding and probabilistic graphical models.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
On the Optimal Fronthaul Compression and Decoding Strategies for Uplink Cloud Radio Access Networks.
IEEE Trans. Inf. Theory, 2016

A Source-Channel Separation Theorem With Application to the Source Broadcast Problem.
IEEE Trans. Inf. Theory, 2016

Cyclically symmetric entropy inequalities.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Orbit-entropy cones and extremal pairwise orbit-entropy inequalities.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Distributed Multilevel Diversity Coding.
IEEE Trans. Inf. Theory, 2015

Broadcasting Correlated Vector Gaussians.
IEEE Trans. Inf. Theory, 2015

Polar Codes for Multiple Descriptions.
IEEE Trans. Inf. Theory, 2015

Outer Bounds on the Admissible Source Region for Broadcast Channels With Correlated Sources.
IEEE Trans. Inf. Theory, 2015

Optimality of gaussian fronthaul compression for uplink MIMO cloud radio access networks.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On the sum rate of multiple description coding with tree-structured distortion constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Price of perfection: Limited prediction for streaming over erasure channels.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Vector Gaussian Multiterminal Source Coding.
IEEE Trans. Inf. Theory, 2014

Optimality and Approximate Optimality of Source-Channel Separation in Networks.
IEEE Trans. Inf. Theory, 2014

A Lower Bound on the Sum Rate of Multiple Description Coding With Symmetric Distortion Constraints.
IEEE Trans. Inf. Theory, 2014

Capacity-Achieving Distributions for the Discrete-Time Poisson Channel - Part II: Binary Inputs.
IEEE Trans. Commun., 2014

Capacity-Achieving Distributions for the Discrete-Time Poisson Channel - Part I: General Properties and Numerical Techniques.
IEEE Trans. Commun., 2014

An improved outer bound on the admissible source region for broadcast channels with correlated sources.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Vector Gaussian Two-Terminal Source Coding.
IEEE Trans. Inf. Theory, 2013

Gaussian Robust Sequential and Predictive Coding.
IEEE Trans. Inf. Theory, 2013

On the Generalization of Natural Type Selection to Multiple Description Coding.
IEEE Trans. Commun., 2013

Capacity and Nonuniform Signaling for Discrete-Time Poisson Channels.
JOCN, 2013

Discreteness of Sum-Capacity-Achieving Distributions for Discrete-Time Poisson Multiple Access Channels with Peak Constraints.
IEEE Commun. Lett., 2013

On symmetric multiple description coding.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

2012
LDGM-Based Multiple Description Coding for Finite Alphabet Sources.
IEEE Trans. Commun., 2012

Gaussian Multiple Description Coding with Low-Density Generator Matrix Codes.
IEEE Trans. Commun., 2012

On the vector Gaussian L-terminal CEO problem.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Broadcast correlated Gaussians: The vector-scalar case.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
On the Role of the Refinement Layer in Multiple Description Coding and Scalable Coding.
IEEE Trans. Inf. Theory, 2011

On the vector Gaussian CEO problem.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Vector Gaussian multiple description coding with individual and central distortion constraints.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

On the capacity of finite-state channels with noisy state information at the encoder.
Proceedings of the 6th International ICST Conference on Communications and Networking in China, 2011

2010
On the sum rate of Gaussian multiterminal source coding: new proofs and results.
IEEE Trans. Inf. Theory, 2010

New coding schemes for the symmetric K -description problem.
IEEE Trans. Inf. Theory, 2010

Tighter bounds on the capacity of finite-state channels via Markov set-chains.
IEEE Trans. Inf. Theory, 2010

LDPC code design for asynchronous Slepian-Wolf coding.
IEEE Trans. Commun., 2010

Achieving the rate-distortion bound with low-density generator matrix codes.
IEEE Trans. Commun., 2010

Robust Multiresolution Coding.
IEEE Trans. Commun., 2010

On the sum rate of vector Gaussian multiterminal source coding.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Robust multiresolution coding with Hamming distortion measure.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Remote vector Gaussian source coding with decoder side information under mutual information and distortion constraints.
IEEE Trans. Inf. Theory, 2009

Capacity region of the finite-state multiple-access channel with and without feedback.
IEEE Trans. Inf. Theory, 2009

Multiple description coding for stationary Gaussian sources.
IEEE Trans. Inf. Theory, 2009

On the duality between Slepian-Wolf coding and channel coding under mismatched decoding.
IEEE Trans. Inf. Theory, 2009

Rate region of Gaussian multiple description coding with individual and central distortion constraints.
IEEE Trans. Inf. Theory, 2009

The equivalence between slepian-wolf coding and channel coding under density evolution.
IEEE Trans. Commun., 2009

A Random Variable Substitution Lemma With Applications to Multiple Description Coding
CoRR, 2009

Quantization splitting for symmetric K-channel multiple descriptions.
Proceedings of the 2009 IEEE Information Theory Workshop, 2009

On the minimum sum rate of Gaussian multiterminal source coding: New proofs.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Asynchronous Slepian-Wolf code design.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Gaussian multiple description coding with individual and central distortion constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Capacity Region of Reversely Degraded Gaussian MIMO Broadcast Channel.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

LDGM-based codes for successive refinement.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Multiuser Successive Refinement and Multiple Description Coding.
IEEE Trans. Inf. Theory, 2008

Successive Refinement for Hypothesis Testing and Lossless One-Helper Problem.
IEEE Trans. Inf. Theory, 2008

Robust Distributed Source Coding.
IEEE Trans. Inf. Theory, 2008

Successive Wyner-Ziv Coding Scheme and Its Application to the Quadratic Gaussian CEO Problem.
IEEE Trans. Inf. Theory, 2008

A novel coding scheme for symmetric multiple description coding.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

New bounds for the capacity region of the Finite-State Multiple Access Channel.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

On the capacity of finite-state channels.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

2007
Capacity Results for Block-Stationary Gaussian Fading Channels With a Peak Power Constraint.
IEEE Trans. Inf. Theory, 2007

Hypothesis Testing Under Successive Refinement Communication Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Multiple Description Coding for Stationary and Ergodic Sources.
Proceedings of the 2007 Data Compression Conference (DCC 2007), 2007

2006
Multiple Description Quantization Via Gram-Schmidt Orthogonalization.
IEEE Trans. Inf. Theory, 2006

2005
A new class of universal multiple description lattice quantizers.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005


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