Jingge Zhu

Orcid: 0000-0003-0661-601X

According to our database1, Jingge Zhu authored at least 56 papers between 2010 and 2024.

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Bibliography

2024
On the Generalization for Transfer Learning: An Information-Theoretic Analysis.
IEEE Trans. Inf. Theory, October, 2024

Compute-Forward Multiple Access for Gaussian MIMO Channels.
CoRR, 2024

Compute-Forward Multiple Access for Gaussian Fast Fading Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Simultaneous Computation and Communication over MAC.
Proceedings of the IEEE International Symposium on Information Theory, 2024

GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
A Bayesian approach to (online) transfer learning: Theory and algorithms.
Artif. Intell., November, 2023

Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers.
IEEE Trans. Signal Process., 2023

Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints.
IEEE Control. Syst. Lett., 2023

On the tightness of information-theoretic bounds on generalization error of learning algorithms.
CoRR, 2023

Coded Distributed Image Classification.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

CFMA for Gaussian MIMO Multiple Access Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes.
Proceedings of the IEEE International Conference on Communications, 2023

On the Value of Stochastic Side Information in Online Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hardware-Limited Non-Uniform Task-Based Quantizers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Committed Private Information Retrieval.
Proceedings of the Computer Security - ESORICS 2023, 2023

Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
On the Capacity-Achieving Input of Channels With Phase Quantization.
IEEE Trans. Inf. Theory, 2022

Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining.
IEEE Trans. Commun., 2022

On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization.
IEEE Trans. Commun., 2022

An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications.
CoRR, 2022

Ancestral Colorings of Perfect Binary Trees With Applications in Private Retrieval of Merkle Proofs.
CoRR, 2022

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis.
CoRR, 2022

Fast Rate Generalization Error Bounds: Variations on a Theme.
Proceedings of the IEEE Information Theory Workshop, 2022

A Learning-Based Approach to Approximate Coded Computation.
Proceedings of the IEEE Information Theory Workshop, 2022

A Linear Physical-Layer Network Coding Based Multiple Access Approach.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization.
IEEE Trans. Commun., 2021

Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
Proceedings of the IEEE International Symposium on Information Theory, 2021

Short Blocklength Distribution Matching by Linear Programming.
Proceedings of the European Conference on Optical Communication, 2021

2020
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Information-theoretic analysis for transfer learning.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding.
IEEE Trans. Inf. Theory, 2019

Compute-Forward Multiple Access (CFMA): Practical Implementations.
IEEE Trans. Commun., 2019

Analysis of Nakamoto Consensus, Revisited.
IACR Cryptol. ePrint Arch., 2019

2018
Customized Local Differential Privacy for Multi-Agent Distributed Optimization.
CoRR, 2018

Coded Control over Lossy Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Gaussian Multiple Access via Compute-and-Forward.
IEEE Trans. Inf. Theory, 2017

Compute-Forward Multiple Access (CFMA): Practical Code Design.
CoRR, 2017

On the duality between multiple-access codes and computation codes.
Proceedings of the 2017 Information Theory and Applications Workshop, 2017

Compute-forward multiple access (CFMA) with nested LDPC codes.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

A sequential approximation framework for coded distributed optimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
CFMA (Compute-Forward Multiple Access) and its Applications in Network Information Theory.
PhD thesis, 2016

Typical sumsets of linear codes.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Typical sumsets of lattice points.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages.
IEEE Trans. Inf. Theory, 2015

Compute-and-forward using nested linear codes for the Gaussian MAC.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

On lattice codes for Gaussian interference channels.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Multiple Access via Compute-and-Forward.
CoRR, 2014

Asymmetric Compute-and-Forward with CSIT.
CoRR, 2014

Gaussian (dirty) multiple access channels: A compute-and-forward perspective.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Lattice codes for many-to-one cognitive interference networks.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2010
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel.
IEEE Commun. Lett., 2010

Stabilization of linear dynamical systems with scalar quantizers under communication constraints.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010


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