Jingge Zhu

107 papers A* 1A 1B 17C 1Misc 5Journal 70Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference.
CoRR
Yangshuo He, Guanding Yu, Jingge Zhu
2026 J jnl
Beyond Identification: Computing Boolean Functions via Channels.
CoRR
Jingge Zhu, Matthias Frey
2026 J jnl
Block-Sample MAC-Bayes Generalization Bounds.
CoRR
Matthias Frey, Jingge Zhu, Michael C. Gastpar
2026 J jnl
Compute-Forward Multiple Access for Gaussian MIMO Channels.
IEEE Trans. Inf. Theory
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2026 J jnl
Online Prediction of Stochastic Sequences with High Probability Regret Bounds.
CoRR
Matthias Frey, Jonathan H. Manton, Jingge Zhu
2025 B conf
A DPI-PAC-Bayesian Framework for Generalization Bounds.
ITW
Muhan Guan, Farhad Farokhi, Jingge Zhu
2025 J jnl
A DPI-PAC-Bayesian Framework for Generalization Bounds.
CoRR
Muhan Guan, Farhad Farokhi, Jingge Zhu
2025 J jnl
A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2025 J jnl
A new multi-wing hyperchaotic system and its application in image encryption.
J. Supercomput.
Pengfei Ding, Weiwei Hu, Penghui Geng, Juan Zhang, Jingge Zhu
2025 J jnl
Compute-Forward Multiple Access for Gaussian Fast Fading Channels.
IEEE Trans. Inf. Theory
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2025 J jnl
Emergence of Computational Structure in a Neural Network Physics Simulator.
CoRR
Rohan Hitchcock, Gary W. Delaney, Jonathan H. Manton, Richard Scalzo, Jingge Zhu
2025 J jnl
Fast Rate Information-Theoretic Bounds on Generalization Errors.
IEEE Trans. Inf. Theory
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2025 J jnl
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints.
CoRR
Lili Chen, Changyang She, Jingge Zhu, Jamie S. Evans
2025 J jnl
Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks.
CoRR
Lili Chen, Changyang She, Jingge Zhu, Jamie S. Evans
2025 J jnl
Semi-Supervised Learning Under General Causal Models.
IEEE Trans. Neural Networks Learn. Syst.
Archer Moore, Heejung Shim, Jingge Zhu, Mingming Gong
2025 J jnl
Semi-Supervised Learning under General Causal Models.
CoRR
Archer Moore, Heejung Shim, Jingge Zhu, Mingming Gong
2025 J jnl
Simultaneous Computation and Communication Over MAC.
IEEE Trans. Inf. Theory
Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu
2025 B conf
Towards Unified and Sharpened CMI Bounds for Generalization Errors.
ISIT
Yang Lu, Margreta Kuijper, Jingge Zhu
2025 — conf
Transformer Based Active Sensing for Generalizable Two-Sided Beam Alignment.
SPAWC
Zhongze Zhang, Wei Yu, Jingge Zhu, Jamie S. Evans
2025 A* conf
TreePIR: Efficient Private Retrieval of Merkle Proofs via Tree Colorings with Fast Indexing and Zero Storage Overhead.
SP
Quang Cao, Son Hoang Dau, Rinaldo Gagiano, Duy Huynh, Xun Yi, Phuc Lu Le, Quang-Hung Luu, Emanuele Viterbo, Yu-Chih Huang, Jingge Zhu, Mohammad M. Jalalzai, Chen Feng
2024 B conf
Compute-Forward Multiple Access for Gaussian Fast Fading Channels.
ISIT
Lanwei Zhang, Jingge Zhu, Jamie S. Evans
2024 J jnl
Compute-Forward Multiple Access for Gaussian Fast Fading Channels.
CoRR
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2024 J jnl
Compute-Forward Multiple Access for Gaussian MIMO Channels.
CoRR
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2024 — conf
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks.
ICC Workshops
Lili Chen, Jingge Zhu, Jamie S. Evans
2024 J jnl
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks.
CoRR
Lili Chen, Jingge Zhu, Jamie S. Evans
2024 J jnl
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2024 J jnl
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models.
J. Mach. Learn. Res.
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2024 J jnl
On the Generalization for Transfer Learning: An Information-Theoretic Analysis.
IEEE Trans. Inf. Theory
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2024 J jnl
Power Allocation for Compute-and-Forward over Fading Channels.
CoRR
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2024 B conf
Simultaneous Computation and Communication over MAC.
ISIT
Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu
2024 J jnl
Simultaneous Computation and Communication over MAC.
CoRR
Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu
2023 J jnl
A Bayesian approach to (online) transfer learning: Theory and algorithms.
Artif. Intell.
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2023 — conf
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks.
GLOBECOM (Workshops)
Lili Chen, Jingge Zhu, Jamie S. Evans
2023 J jnl
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks.
CoRR
Lili Chen, Jingge Zhu, Jamie S. Evans
2023 B conf
CFMA for Gaussian MIMO Multiple Access Channels.
ISIT
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2023 J jnl
CFMA for Gaussian MIMO Multiple Access Channels.
CoRR
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
2023 — conf
Coded Distributed Image Classification.
MLSP
Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu
2023 J jnl
Coded Distributed Image Classification.
CoRR
Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu
2023 — conf
Committed Private Information Retrieval.
ESORICS (1)
Quang Cao, Hong-Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu-Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah
2023 J jnl
Committed Private Information Retrieval.
CoRR
Quang Cao, Hong-Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu-Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah
2023 J jnl
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers.
IEEE Trans. Signal Process.
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
2023 — conf
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes.
ICC Workshops
Lili Chen, Jingge Zhu, Jamie S. Evans
2023 J jnl
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes.
CoRR
Lili Chen, Jingge Zhu, Jamie S. Evans
2023 Misc conf
Hardware-Limited Non-Uniform Task-Based Quantizers.
ICASSP
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
2023 B conf
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime.
ISIT
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2023 J jnl
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime.
CoRR
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2023 J jnl
Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints.
IEEE Control. Syst. Lett.
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2023 Misc conf
On the Value of Stochastic Side Information in Online Learning.
ICASSP
Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu
2023 J jnl
On the Value of Stochastic Side Information in Online Learning.
CoRR
Junzhang Jia, Xuetong Wu, Jingge Zhu, Jamie S. Evans
2023 J jnl
On the tightness of information-theoretic bounds on generalization error of learning algorithms.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2023 — conf
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
CDC
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2023 J jnl
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2022 B conf
A Learning-Based Approach to Approximate Coded Computation.
ITW
Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu
2022 J jnl
A Learning-Based Approach to Approximate Coded Computation.
CoRR
Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu
2022 B conf
A Linear Physical-Layer Network Coding Based Multiple Access Approach.
ISIT
Qiuzhuo Chen, Fangtao Yu, Tao Yang, Jingge Zhu, Rongke Liu
2022 J jnl
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
Ancestral Colorings of Perfect Binary Trees With Applications in Private Retrieval of Merkle Proofs.
CoRR
Quang Cao, Rinaldo Gagiano, Duy Huynh, Xun Yi, Son Hoang Dau, Phuc Lu Le, Quang-Hung Luu, Emanuele Viterbo, Yu-Chih Huang, Jingge Zhu, Mohammad M. Jalalzai, Chen Feng
2022 J jnl
Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining.
IEEE Trans. Commun.
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
2022 J jnl
Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining.
CoRR
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
2022 B conf
Fast Rate Generalization Error Bounds: Variations on a Theme.
ITW
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
Fast Rate Generalization Error Bounds: Variations on a Theme.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2022 J jnl
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis.
CoRR
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
On the Capacity-Achieving Input of Channels With Phase Quantization.
IEEE Trans. Inf. Theory
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2022 J jnl
On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization.
IEEE Trans. Commun.
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2022 J jnl
On the Capacity-Achieving Input of the Gaussian Channel with Polar Quantization.
CoRR
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2021 J jnl
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 B conf
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
ISIT
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2021 J jnl
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
CoRR
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2021 J jnl
On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization.
IEEE Trans. Commun.
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2021 J jnl
On the Capacity-Achieving Input of Channels with Phase Quantization.
CoRR
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
2021 B conf
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
ISIT
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 J jnl
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 — conf
Short Blocklength Distribution Matching by Linear Programming.
ECOC
Shuangyu Dong, Honglin Ji, Zhaopeng Xu, Jingge Zhu, William Shieh
2020 B conf
Information-theoretic analysis for transfer learning.
ISIT
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2020 J jnl
Information-theoretic analysis for transfer learning.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2020 — conf
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow.
ISGT-Europe
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
2020 A conf
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful.
UAI
Jingge Zhu
2020 J jnl
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful.
CoRR
Jingge Zhu
2019 J jnl
Analysis of Nakamoto Consensus, Revisited.
CoRR
Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu
2019 J jnl
Analysis of Nakamoto Consensus, Revisited.
IACR Cryptol. ePrint Arch.
Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu
2019 J jnl
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding.
IEEE Trans. Inf. Theory
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2019 J jnl
Compute-Forward Multiple Access (CFMA): Practical Implementations.
IEEE Trans. Commun.
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2018 C conf
Coded Control over Lossy Networks.
ACC
Ye Pu, Jingge Zhu, Karl Henrik Johansson, Kannan Ramchandran, Claire J. Tomlin
2018 J jnl
Customized Local Differential Privacy for Multi-Agent Distributed Optimization.
CoRR
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
2017 J jnl
A Sequential Approximation Framework for Coded Distributed Optimization.
CoRR
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
2017 — conf
A sequential approximation framework for coded distributed optimization.
Allerton
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
2017 J jnl
Communication versus Computation: Duality for multiple access channels and source coding.
CoRR
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2017 J jnl
Compute-Forward Multiple Access (CFMA): Practical Code Design.
CoRR
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2017 B conf
Compute-forward multiple access (CFMA) with nested LDPC codes.
ISIT
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2017 J jnl
Gaussian Multiple Access via Compute-and-Forward.
IEEE Trans. Inf. Theory
Jingge Zhu, Michael Gastpar
2017 Misc conf
On the duality between multiple-access codes and computation codes.
ITA
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2016 — —
CFMA (Compute-Forward Multiple Access) and its Applications in Network Information Theory.
Jingge Zhu
2016 Misc conf
Typical sumsets of lattice points.
ACSSC
Jingge Zhu, Michael Gastpar
2016 — conf
Typical sumsets of linear codes.
Allerton
Jingge Zhu, Michael Gastpar
2015 B conf
Compute-and-forward using nested linear codes for the Gaussian MAC.
ITW
Jingge Zhu, Michael Gastpar
2015 J jnl
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages.
IEEE Trans. Inf. Theory
Jingge Zhu, Michael Gastpar
2015 B conf
On lattice codes for Gaussian interference channels.
ISIT
Jingge Zhu, Michael Gastpar
2015 J jnl
Typical sumsets of linear codes.
CoRR
Jingge Zhu, Michael Gastpar
2014 J jnl
Asymmetric Compute-and-Forward with CSIT.
CoRR
Jingge Zhu, Michael Gastpar
2014 B conf
Gaussian (dirty) multiple access channels: A compute-and-forward perspective.
ISIT
Jingge Zhu, Michael Gastpar
2014 J jnl
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages.
CoRR
Jingge Zhu, Michael Gastpar
2014 J jnl
Multiple Access via Compute-and-Forward.
CoRR
Jingge Zhu, Michael Gastpar
2013 B conf
Lattice codes for many-to-one cognitive interference networks.
ISIT
Jingge Zhu, Michael Gastpar
2010 J jnl
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel
CoRR
Jingge Zhu, Jianhua Mo, Meixia Tao
2010 J jnl
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel.
IEEE Commun. Lett.
Jingge Zhu, Jianhua Mo, Meixia Tao
2010 Misc conf
Stabilization of linear dynamical systems with scalar quantizers under communication constraints.
CISS
Jingge Zhu, Slawomir Stanczak, Gunther Reißig