Jingge Zhu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 66

Top Topics

Theoretic Analysis

Transfer Learning

Generalization Error

Multiple Access

Top Venues

IEEE Trans. Inf. Theory

IEEE Trans. Commun.

Publications

Lanwei Zhang, Jamie S. Evans, Jingge Zhu
Compute-Forward Multiple Access for Gaussian Fast Fading Channels. CoRR (2024)
Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu
Simultaneous Computation and Communication over MAC. CoRR (2024)
Lili Chen, Jingge Zhu, Jamie S. Evans
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks. ICC Workshops (2024)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. CoRR (2023)
Lili Chen, Jingge Zhu, Jamie S. Evans
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks. GLOBECOM (Workshops) (2023)
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers. IEEE Trans. Signal Process. 71 (2023)
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
CFMA for Gaussian MIMO Multiple Access Channels. ISIT (2023)
Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu
Coded Distributed Image Classification. CoRR (2023)
Lanwei Zhang, Jamie S. Evans, Jingge Zhu
CFMA for Gaussian MIMO Multiple Access Channels. CoRR (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324 (2023)
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
Hardware-Limited Non-Uniform Task-Based Quantizers. ICASSP (2023)
Quang Cao, Hong-Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu-Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah
Committed Private Information Retrieval. CoRR (2023)
Junzhang Jia, Xuetong Wu, Jingge Zhu, Jamie S. Evans
On the Value of Stochastic Side Information in Online Learning. CoRR (2023)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. CDC (2023)
Lili Chen, Jingge Zhu, Jamie S. Evans
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks. CoRR (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR (2023)
Lili Chen, Jingge Zhu, Jamie S. Evans
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes. CoRR (2023)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime. CoRR (2023)
Quang Cao, Hong-Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu-Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah
Committed Private Information Retrieval. ESORICS (1) (2023)
Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu
Coded Distributed Image Classification. MLSP (2023)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime. ISIT (2023)
Lili Chen, Jingge Zhu, Jamie S. Evans
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes. ICC Workshops (2023)
Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu
On the Value of Stochastic Side Information in Online Learning. ICASSP (2023)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints. IEEE Control. Syst. Lett. 7 (2023)
Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu
A Learning-Based Approach to Approximate Coded Computation. CoRR (2022)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization. IEEE Trans. Commun. 70 (9) (2022)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
On the Capacity-Achieving Input of the Gaussian Channel with Polar Quantization. CoRR (2022)
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR (2022)
Qiuzhuo Chen, Fangtao Yu, Tao Yang, Jingge Zhu, Rongke Liu
A Linear Physical-Layer Network Coding Based Multiple Access Approach. ISIT (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW (2022)
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining. CoRR (2022)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints. CoRR (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR (2022)
Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans
Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining. IEEE Trans. Commun. 70 (11) (2022)
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
Ancestral Colorings of Perfect Binary Trees With Applications in Private Retrieval of Merkle Proofs. CoRR (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR (2022)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
On the Capacity-Achieving Input of Channels With Phase Quantization. IEEE Trans. Inf. Theory 68 (9) (2022)
Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu
A Learning-Based Approach to Approximate Coded Computation. ITW (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR (2021)
Shuangyu Dong, Honglin Ji, Zhaopeng Xu, Jingge Zhu, William Shieh
Short Blocklength Distribution Matching by Linear Programming. ECOC (2021)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? ISIT (2021)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
On the Capacity-Achieving Input of Channels with Phase Quantization. CoRR (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR (2021)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? CoRR (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT (2021)
Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans
On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization. IEEE Trans. Commun. 69 (11) (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. ISIT (2020)
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow. ISGT-Europe (2020)
Jingge Zhu
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. UAI (2020)
Jingge Zhu
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. CoRR (2020)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. CoRR (2020)
Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu
Analysis of Nakamoto Consensus, Revisited. CoRR (2019)
Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu
Analysis of Nakamoto Consensus, Revisited. IACR Cryptol. ePrint Arch. 2019 (2019)
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
Compute-Forward Multiple Access (CFMA): Practical Implementations. IEEE Trans. Commun. 67 (2) (2019)
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding. IEEE Trans. Inf. Theory 65 (1) (2019)
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
Customized Local Differential Privacy for Multi-Agent Distributed Optimization. CoRR (2018)
Ye Pu, Jingge Zhu, Karl Henrik Johansson, Kannan Ramchandran, Claire J. Tomlin
Coded Control over Lossy Networks. ACC (2018)
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
A sequential approximation framework for coded distributed optimization. Allerton (2017)
Jingge Zhu, Michael Gastpar
Gaussian Multiple Access via Compute-and-Forward. IEEE Trans. Inf. Theory 63 (5) (2017)
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
On the duality between multiple-access codes and computation codes. ITA (2017)
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
Compute-Forward Multiple Access (CFMA): Practical Code Design. CoRR (2017)
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
Communication versus Computation: Duality for multiple access channels and source coding. CoRR (2017)
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
A Sequential Approximation Framework for Coded Distributed Optimization. CoRR (2017)
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
Compute-forward multiple access (CFMA) with nested LDPC codes. ISIT (2017)
Jingge Zhu, Michael Gastpar
Typical sumsets of linear codes. Allerton (2016)
Jingge Zhu, Michael Gastpar
Typical sumsets of lattice points. ACSSC (2016)
Jingge Zhu, Michael Gastpar
Typical sumsets of linear codes. CoRR (2015)
Jingge Zhu, Michael Gastpar
Compute-and-forward using nested linear codes for the Gaussian MAC. ITW (2015)
Jingge Zhu, Michael Gastpar
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. IEEE Trans. Inf. Theory 61 (3) (2015)
Jingge Zhu, Michael Gastpar
On lattice codes for Gaussian interference channels. ISIT (2015)
Jingge Zhu, Michael Gastpar
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. CoRR (2014)
Jingge Zhu, Michael Gastpar
Asymmetric Compute-and-Forward with CSIT. CoRR (2014)
Jingge Zhu, Michael Gastpar
Gaussian (dirty) multiple access channels: A compute-and-forward perspective. ISIT (2014)
Jingge Zhu, Michael Gastpar
Multiple Access via Compute-and-Forward. CoRR (2014)
Jingge Zhu, Michael Gastpar
Lattice codes for many-to-one cognitive interference networks. ISIT (2013)
Jingge Zhu, Jianhua Mo, Meixia Tao
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel. IEEE Commun. Lett. 14 (10) (2010)
Jingge Zhu, Slawomir Stanczak, Gunther Reißig
Stabilization of linear dynamical systems with scalar quantizers under communication constraints. CISS (2010)
Jingge Zhu, Jianhua Mo, Meixia Tao
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel CoRR (2010)