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Jingge Zhu
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2020 – today
- 2024
- [j13]Xuetong Wu
, Jonathan H. Manton
On the Generalization for Transfer Learning: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory 70(10): 7089-7124 (2024) - [c32]Lili Chen, Jingge Zhu, Jamie S. Evans:
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks. ICC Workshops 2024: 233-238 - [c31]Lanwei Zhang, Jingge Zhu, Jamie S. Evans:
Compute-Forward Multiple Access for Gaussian Fast Fading Channels. ISIT 2024: 2999-3004 - [c30]Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu:
Simultaneous Computation and Communication over MAC. ISIT 2024: 3350-3355 - [i38]Matthias Frey
Simultaneous Computation and Communication over MAC. CoRR abs/2401.16751 (2024) - [i37]Lanwei Zhang, Jamie S. Evans, Jingge Zhu:
Compute-Forward Multiple Access for Gaussian Fast Fading Channels. CoRR abs/2404.19468 (2024) - [i36]Lili Chen, Jingge Zhu, Jamie S. Evans:
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks. CoRR abs/2408.03957 (2024) - [i35]Lanwei Zhang, Jamie S. Evans, Jingge Zhu:
Compute-Forward Multiple Access for Gaussian MIMO Channels. CoRR abs/2409.06110 (2024) - 2023
- [j12]Xuetong Wu
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324: 103991 (2023) - [j11]Seth Siriya
Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints. IEEE Control. Syst. Lett. 7: 1273-1278 (2023) - [j10]Neil Irwin Bernardo
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers. IEEE Trans. Signal Process. 71: 1551-1562 (2023) - [c29]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: 3802-3807 - [c28]Quang Cao
Committed Private Information Retrieval. ESORICS (1) 2023: 393-413 - [c27]Lili Chen, Jingge Zhu, Jamie S. Evans:
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks. GLOBECOM (Workshops) 2023: 322-328 - [c26]Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans:
Hardware-Limited Non-Uniform Task-Based Quantizers. ICASSP 2023: 1-5 - [c25]Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu
On the Value of Stochastic Side Information in Online Learning. ICASSP 2023: 1-5 - [c24]Lili Chen
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes. ICC Workshops 2023: 277-282 - [c23]Lanwei Zhang, Jamie S. Evans, Jingge Zhu:
CFMA for Gaussian MIMO Multiple Access Channels. ISIT 2023: 1830-1835 - [c22]Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime. ISIT 2023: 2129-2134 - [c21]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. MLSP 2023: 1-6 - [i34]Quang Cao
Committed Private Information Retrieval. CoRR abs/2302.01733 (2023) - [i33]Junzhang Jia, Xuetong Wu, Jingge Zhu, Jamie S. Evans:
On the Value of Stochastic Side Information in Online Learning. CoRR abs/2303.05914 (2023) - [i32]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR abs/2303.14658 (2023) - [i31]Lili Chen, Jingge Zhu, Jamie S. Evans:
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes. CoRR abs/2303.16113 (2023) - [i30]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 abs/2304.00569 (2023) - [i29]Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime. CoRR abs/2304.10033 (2023) - [i28]Lili Chen, Jingge Zhu, Jamie S. Evans:
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks. CoRR abs/2305.12639 (2023) - [i27]Lanwei Zhang, Jamie S. Evans, Jingge Zhu:
CFMA for Gaussian MIMO Multiple Access Channels. CoRR abs/2305.16047 (2023) - [i26]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. CoRR abs/2307.04915 (2023) - 2022
- [j9]Neil Irwin Bernardo
On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization. IEEE Trans. Commun. 70(9): 5912-5928 (2022) - [j8]Neil Irwin Bernardo
Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining. IEEE Trans. Commun. 70(11): 7224-7239 (2022) - [j7]Neil Irwin Bernardo
On the Capacity-Achieving Input of Channels With Phase Quantization. IEEE Trans. Inf. Theory 68(9): 5866-5888 (2022) - [c20]Qiuzhuo Chen, Fangtao Yu, Tao Yang, Jingge Zhu, Rongke Liu:
A Linear Physical-Layer Network Coding Based Multiple Access Approach. ISIT 2022: 2803-2808 - [c19]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW 2022: 43-48 - [c18]Navneet Agrawal, Yuqin Qiu, Matthias Frey
A Learning-Based Approach to Approximate Coded Computation. ITW 2022: 600-605 - [i25]Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans:
Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining. CoRR abs/2204.04033 (2022) - [i24]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR abs/2205.03131 (2022) - [i23]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 abs/2205.04641 (2022) - [i22]Quang Cao
Ancestral Colorings of Perfect Binary Trees With Applications in Private Retrieval of Merkle Proofs. CoRR abs/2205.05211 (2022) - [i21]Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
On the Capacity-Achieving Input of the Gaussian Channel with Polar Quantization. CoRR abs/2205.05850 (2022) - [i20]Navneet Agrawal, Yuqin Qiu, Matthias Frey
A Learning-Based Approach to Approximate Coded Computation. CoRR abs/2205.09818 (2022) - [i19]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR abs/2207.05377 (2022) - [i18]Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu:
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints. CoRR abs/2209.07040 (2022) - 2021
- [j6]Neil Irwin Bernardo
On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization. IEEE Trans. Commun. 69(11): 7205-7221 (2021) - [c17]Shuangyu Dong, Honglin Ji, Zhaopeng Xu, Jingge Zhu
Short Blocklength Distribution Matching by Linear Programming. ECOC 2021: 1-4 - [c16]Neil Irwin Bernardo, Jingge Zhu
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? ISIT 2021: 634-639 - [c15]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT 2021: 1540-1545 - [i17]Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? CoRR abs/2101.09896 (2021) - [i16]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR abs/2105.01445 (2021) - [i15]Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
On the Capacity-Achieving Input of Channels with Phase Quantization. CoRR abs/2106.11007 (2021) - [i14]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR abs/2109.01377 (2021) - 2020
- [c14]Roel Dobbe, Ye Pu, Jingge Zhu
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow. ISGT-Europe 2020: 265-269 - [c13]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [c12]Jingge Zhu:
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. UAI 2020: 709-718 - [i13]Xuetong Wu
Information-theoretic analysis for transfer learning. CoRR abs/2005.08697 (2020) - [i12]Jingge Zhu:
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. CoRR abs/2005.11018 (2020)
2010 – 2019
- 2019
- [j5]Erixhen Sula
Compute-Forward Multiple Access (CFMA): Practical Implementations. IEEE Trans. Commun. 67(2): 1133-1147 (2019) - [j4]Jingge Zhu
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding. IEEE Trans. Inf. Theory 65(1): 292-301 (2019) - [i11]Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu:
Analysis of Nakamoto Consensus, Revisited. CoRR abs/1910.08510 (2019) - [i10]Jianyu Niu, Chen Feng, Hoang Dau, Yu-Chih Huang, Jingge Zhu:
Analysis of Nakamoto Consensus, Revisited. IACR Cryptol. ePrint Arch. 2019: 1225 (2019) - 2018
- [c11]Ye Pu, Jingge Zhu
Coded Control over Lossy Networks. ACC 2018: 3602-3608 - [i9]Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin:
Customized Local Differential Privacy for Multi-Agent Distributed Optimization. CoRR abs/1806.06035 (2018) - 2017
- [j3]Jingge Zhu
Gaussian Multiple Access via Compute-and-Forward. IEEE Trans. Inf. Theory 63(5): 2678-2695 (2017) - [c10]Jingge Zhu
A sequential approximation framework for coded distributed optimization. Allerton 2017: 1240-1247 - [c9]Erixhen Sula, Jingge Zhu
Compute-forward multiple access (CFMA) with nested LDPC codes. ISIT 2017: 2935-2939 - [c8]Jingge Zhu
On the duality between multiple-access codes and computation codes. ITA 2017: 1-5 - [i8]Jingge Zhu, Sung Hoon Lim, Michael Gastpar:
Communication versus Computation: Duality for multiple access channels and source coding. CoRR abs/1707.08621 (2017) - [i7]Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran:
A Sequential Approximation Framework for Coded Distributed Optimization. CoRR abs/1710.09001 (2017) - [i6]Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar:
Compute-Forward Multiple Access (CFMA): Practical Code Design. CoRR abs/1712.10293 (2017) - 2016
- [b1]Jingge Zhu:
CFMA (Compute-Forward Multiple Access) and its Applications in Network Information Theory. EPFL, Switzerland, 2016 - [c7]Jingge Zhu
Typical sumsets of lattice points. ACSSC 2016: 1816-1820 - [c6]Jingge Zhu
Typical sumsets of linear codes. Allerton 2016: 46-53 - 2015
- [j2]Jingge Zhu
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. IEEE Trans. Inf. Theory 61(3): 1309-1324 (2015) - [c5]Jingge Zhu
On lattice codes for Gaussian interference channels. ISIT 2015: 2066-2070 - [c4]Jingge Zhu
Compute-and-forward using nested linear codes for the Gaussian MAC. ITW 2015: 1-5 - [i5]Jingge Zhu, Michael Gastpar:
Typical sumsets of linear codes. CoRR abs/1511.08435 (2015) - 2014
- [c3]Jingge Zhu
Gaussian (dirty) multiple access channels: A compute-and-forward perspective. ISIT 2014: 2949-2953 - [i4]Jingge Zhu, Michael Gastpar:
Asymmetric Compute-and-Forward with CSIT. CoRR abs/1401.3189 (2014) - [i3]Jingge Zhu, Michael Gastpar:
Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. CoRR abs/1404.0273 (2014) - [i2]Jingge Zhu, Michael Gastpar:
Multiple Access via Compute-and-Forward. CoRR abs/1407.8463 (2014) - 2013
- [c2]Jingge Zhu
Lattice codes for many-to-one cognitive interference networks. ISIT 2013: 2234-2238 - 2010
- [j1]Jingge Zhu
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel. IEEE Commun. Lett. 14(10): 885-887 (2010) - [c1]Jingge Zhu
Stabilization of linear dynamical systems with scalar quantizers under communication constraints. CISS 2010: 1-6 - [i1]Jingge Zhu, Jianhua Mo, Meixia Tao:
Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel. CoRR abs/1008.2571 (2010)
Coauthor Index
aka: Michael C. Gastpar
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