Jingge Zhu

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All published works
Action Title Year Authors
+ PDF Chat Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems 2024 Seth Siriya
Jingge Zhu
Dragan Nešić
Ye Pu
+ PDF Chat Power Allocation for Compute-and-Forward over Fading Channels 2024 Lanwei Zhang
Jamie Evans
Jingge Zhu
+ PDF Chat Compute-Forward Multiple Access for Gaussian MIMO Channels 2024 Lanwei Zhang
Jamie Evans
Jingge Zhu
+ PDF Chat On the Generalization for Transfer Learning: An Information-Theoretic Analysis 2024 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ PDF Chat GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks 2024 Lili Chen
Jingge Zhu
Jamie Evans
+ PDF Chat Simultaneous Computation and Communication over MAC 2024 Matthias Frey
Igor Bjelaković
Michael Gastpar
Jingge Zhu
+ PDF Chat Compute-Forward Multiple Access for Gaussian Fast Fading Channels 2024 Lanwei Zhang
Jingge Zhu
Jamie Evans
+ PDF Chat GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks 2024 Lili Chen
Jingge Zhu
Jamie Evans
+ PDF Chat Compute-Forward Multiple Access for Gaussian Fast Fading Channels 2024 Lanwei Zhang
Jamie Evans
Jingge Zhu
+ PDF Chat Simultaneous Computation and Communication over MAC 2024 Matthias Frey
Igor Bjelaković
Michael Gastpar
Jingge Zhu
+ PDF Chat Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints 2023 Seth Siriya
Jingge Zhu
Dragan Nešić
Ye Pu
+ PDF Chat Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks 2023 Lili Chen
Jingge Zhu
Jamie Evans
+ PDF Chat Coded Distributed Image Classification 2023 Jiepeng Tang
Navneet Agrawal
Sławomir Stańczak
Jingge Zhu
+ A Bayesian approach to (online) transfer learning: Theory and algorithms 2023 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ PDF Chat Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime 2023 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ PDF Chat CFMA for Gaussian MIMO Multiple Access Channels 2023 Lanwei Zhang
Jamie Evans
Jingge Zhu
+ PDF Chat Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes 2023 Lili Chen
Jingge Zhu
Jamie Evans
+ On the Value of Stochastic Side Information in Online Learning 2023 Junzhang Jia
Xuetong Wu
Jamie Evans
Jingge Zhu
+ Committed Private Information Retrieval 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
+ On the Value of Stochastic Side Information in Online Learning 2023 Junzhang Jia
Xuetong Wu
Jingge Zhu
Jamie Evans
+ On the tightness of information-theoretic bounds on generalization error of learning algorithms 2023 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes 2023 Lili Chen
Jingge Zhu
Jamie Evans
+ Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints 2023 Seth Siriya
Jingge Zhu
Dragan Nešić
Ye Pu
+ Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime 2023 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ PDF Chat Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers 2023 Neil Irwin Bernardo
Jingge Zhu
Yonina C. Eldar
Jamie Evans
+ Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks 2023 Lili Chen
Jingge Zhu
Jamie Evans
+ CFMA for Gaussian MIMO Multiple Access Channels 2023 Lanwei Zhang
Jamie Evans
Jingge Zhu
+ Coded Distributed Image Classification 2023 Jiepeng Tang
Navneet Agrawal
Sławomir Stańczak
Jingge Zhu
+ PDF Chat Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints 2022 Seth Siriya
Jingge Zhu
Dragan Nešić
Ye Pu
+ PDF Chat A Learning-Based Approach to Approximate Coded Computation 2022 Navneet Agrawal
Yuqin Qiu
Matthias Frey
Igor Bjelaković
Setareh Maghsudi
Sławomir Stańczak
Jingge Zhu
+ PDF Chat Fast Rate Generalization Error Bounds: Variations on a Theme 2022 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ PDF Chat Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining 2022 Neil Irwin Bernardo
Jingge Zhu
Yonina C. Eldar
Jamie Evans
+ PDF Chat On the Capacity-Achieving Input of the Gaussian Channel With Polar Quantization 2022 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ PDF Chat On the Capacity-Achieving Input of Channels With Phase Quantization 2022 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining 2022 Neil Irwin Bernardo
Jingge Zhu
Yonina C. Eldar
Jamie Evans
+ Fast Rate Generalization Error Bounds: Variations on a Theme 2022 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis 2022 Xuetong Wu
Mingming Gong
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Parallel Private Retrieval of Merkle Proofs via Tree Colorings 2022 Quang Cao
Rinaldo Gagiano
Duy C. Huynh
Xun Yi
Son Hoang Dau
Phuc Lu Le
Quang-Hung Luu
Emanuele Viterbo
Yu-Chih Huang
Jingge Zhu
+ A Learning-Based Approach to Approximate Coded Computation 2022 Navneet Agrawal
Yuqin Qiu
Matthias Frey
Igor Bjelaković
Setareh Maghsudi
Sławomir Stańczak
Jingge Zhu
+ An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications 2022 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Design and Analysis of Hardware-limited Non-uniform Task-based Quantizers 2022 Neil Irwin Bernardo
Jingge Zhu
Yonina C. Eldar
Jamie Evans
+ Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints 2022 Seth Siriya
Jingge Zhu
Dragan Nešić
Ye Pu
+ PDF Chat On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization 2021 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ PDF Chat Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? 2021 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
+ PDF Chat Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge 2021 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge 2021 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms 2021 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ PDF Chat Information-theoretic analysis for transfer learning 2020 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful 2020 Jingge Zhu
+ Information-theoretic analysis for transfer learning 2020 Xuetong Wu
Jonathan H. Manton
Uwe Aickelin
Jingge Zhu
+ Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful 2020 Jingge Zhu
+ Analysis of Nakamoto Consensus, Revisited 2019 Jianyu Niu
Chen Feng
Son Hoang Dau
Yu-Chih Huang
Jingge Zhu
+ Analysis of Nakamoto Consensus, Revisited 2019 Jianyu Niu
Feng Chen
Son Hoang Dau
Yu-Chih Huang
Jingge Zhu
+ PDF Chat Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding 2018 Jingge Zhu
Sung Hoon Lim
Michael Gastpar
+ Customized Local Differential Privacy for Multi-Agent Distributed Optimization 2018 Roel Dobbe
Ye Pu
Jingge Zhu
Kannan Ramchandran
Claire J. Tomlin
+ PDF Chat A sequential approximation framework for coded distributed optimization 2017 Jingge Zhu
Ye Pu
Vipul Gupta
Claire J. Tomlin
Kannan Ramchandran
+ Communication versus Computation: Duality for multiple access channels and source coding 2017 Jingge Zhu
Sung Hoon Lim
Michael Gastpar
+ A Sequential Approximation Framework for Coded Distributed Optimization 2017 Jingge Zhu
Ye Pu
Vipul Gupta
Claire J. Tomlin
Kannan Ramchandran
+ Compute--Forward Multiple Access (CFMA): Practical Code Design 2017 Erixhen Sula
Jingge Zhu
Adriano Pastore
Sung Hoon Lim
Michael Gastpar
+ PDF Chat Gaussian Multiple Access via Compute-and-Forward 2016 Jingge Zhu
Michael Gastpar
+ PDF Chat Typical sumsets of linear codes 2016 Jingge Zhu
Michael Gastpar
+ PDF Chat Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages 2015 Jingge Zhu
Michael Gastpar
+ Typical sumsets of linear codes 2015 Jingge Zhu
Michael Gastpar
+ Asymmetric Compute-and-Forward with CSIT 2014 Jingge Zhu
Michael Gastpar
+ Asymmetric Compute-and-Forward with CSIT 2014 Jingge Zhu
Michael Gastpar
+ PDF Chat Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel 2010 Jingge Zhu
Jianhua Mo
Meixia Tao
+ Fast Methods for Estimating the Distance to Uncontrollability 2006 Ming Gu
Emre Mengi
Michael L. Overton
Jianlin Xia
Jingge Zhu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Compute-and-Forward: Harnessing Interference Through Structured Codes 2011 Bobak Nazer
Michael Gastpar
10
+ PDF Chat Joint Physical Layer Coding and Network Coding for Bidirectional Relaying 2010 Makesh Pravin Wilson
Krishna R. Narayanan
Henry D. Pfister
Alex Sprintson
8
+ PDF Chat Low power analog-to-digital conversion in millimeter wave systems: Impact of resolution and bandwidth on performance 2015 Oner Orhan
Elza Erkip
Sundeep Rangan
5
+ PDF Chat Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis 2020 Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
5
+ PDF Chat At Low SNR, Asymmetric Quantizers are Better 2013 Tobias Koch
Amos Lapidoth
5
+ Information-theoretic asymptotics of Bayes methods 1990 Bertrand Clarke
Andrew R. Barron
5
+ PDF Chat Towards Optimal Power Control via Ensembling Deep Neural Networks 2019 Fei Liang
Cong Shen
Wei Yu
Feng Wu
5
+ PDF Chat Low-Resolution Quantization in Phase Modulated Systems: Optimum Detectors and Error Rate Analysis 2020 Samiru Gayan
Rajitha Senanayake
Hazer İnaltekin
Jamie Evans
4
+ Learning to Optimize: Training Deep Neural Networks for Interference Management 2018 Haoran Sun
Xiangyi Chen
Qingjiang Shi
Mingyi Hong
Xiao Fu
Nicholas D. Sidiropoulos
4
+ PDF Chat Dependence measures bounding the exploration bias for general measurements 2017 Jiantao Jiao
Yanjun Han
Tsachy Weissman
4
+ PDF Chat Learning Decentralized Wireless Resource Allocations With Graph Neural Networks 2022 Zhiyang Wang
Mark Eisen
Alejandro Ribeiro
4
+ PDF Chat Advanced Receiver Architectures for Millimeter-Wave Communications with Low-Resolution ADCs 2020 Jinseok Choi
Gilwon Lee
Ahmed Alkhateeb
Alan Gatherer
Naofal Al‐Dhahir
Brian L. Evans
4
+ PDF Chat One-bit massive MIMO: Channel estimation and high-order modulations 2015 Sven Jacobsson
Giuseppe Durisi
Mikael Coldrey
Ulf Gustavsson
Christoph Studer
4
+ PDF Chat A Comprehensive Survey on Transfer Learning 2020 Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
4
+ PDF Chat Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design 2015 Emil Björnson
Michail Matthaiou
Mérouane Debbah
4
+ Polynomial codes: an optimal design for high-dimensional coded matrix multiplication 2017 Qian Yu
Mohammad Ali Maddah-Ali
A. Salman Avestimehr
3
+ PDF Chat Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information 2015 Jianhua Mo
Robert W. Heath
3
+ PDF Chat On Minimizing Symbol Error Rate Over Fading Channels With Low-Resolution Quantization 2021 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
3
+ PDF Chat Precoded Integer-Forcing Universally Achieves the MIMO Capacity to Within a Constant Gap 2014 Or Ordentlich
Uri Erez
3
+ A Joint Typicality Approach to Algebraic Network Information Theory 2016 Sung Hoon Lim
Chen Feng
Adriano Pastore
Bobak Nazer
Michael Gastpar
3
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
3
+ PDF Chat Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes 2023 Lili Chen
Jingge Zhu
Jamie Evans
3
+ PDF Chat On the Capacity-Achieving Input of Channels With Phase Quantization 2022 Neil Irwin Bernardo
Jingge Zhu
Jamie Evans
3
+ Information-theoretic analysis of generalization capability of learning algorithms 2017 Aolin Xu
Maxim Raginsky
3
+ On extreme points of convex sets 1962 Lester E. Dubins
3
+ Controlling Bias in Adaptive Data Analysis Using Information Theory 2016 Daniel Russo
James Zou
3
+ PDF Chat Tightening Mutual Information-Based Bounds on Generalization Error 2020 Yuheng Bu
Shaofeng Zou
Venugopal V. Veeravalli
3
+ PDF Chat Computing sum of sources over an arbitrary multiple access channel 2013 Arun Padakandla
S. Sandeep Pradhan
3
+ Online Transfer Learning in Reinforcement Learning Domains 2015 Yusen Zhan
Matthew E. Taylor
3
+ PDF Chat On the empirical estimation of integral probability metrics 2012 Bharath K. Sriperumbudur
Kenji Fukumizu
Arthur Gretton
Bernhard Schölkopf
Gert Lanckriet
3
+ PDF Chat Integer-Forcing Linear Receivers 2014 Jiening Zhan
Bobak Nazer
Uri Erez
Michael Gastpar
3
+ PDF Chat Typical sumsets of linear codes 2016 Jingge Zhu
Michael Gastpar
3
+ Bridging Theory and Algorithm for Domain Adaptation 2019 Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
3
+ PDF Chat Experiment-Driven Characterization of Full-Duplex Wireless Systems 2012 Melissa Duarte
Chris Dick
Ashutosh Sabharwal
2
+ Asymmetric Compute-and-Forward with CSIT 2014 Jingge Zhu
Michael Gastpar
2
+ PDF Chat Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs 2015 Chao-Kai Wen
Chang-Jen Wang
Shi Jin
Kai‐Kit Wong
Pangan Ting
2
+ PDF Chat Phase-Quantized Block Noncoherent Communication 2013 Jaspreet Singh
Upamanyu Madhow
2
+ How Powerful are Graph Neural Networks? 2018 Keyulu Xu
Weihua Hu
Jure Leskovec
Stefanie Jegelka
2
+ Refined Error Bounds for Several Learning Algorithms 2015 Steve Hanneke
2
+ PDF Chat OverSketch: Approximate Matrix Multiplication for the Cloud 2018 Vipul Gupta
Shusen Wang
Thomas A. Courtade
Kannan Ramchandran
2
+ PDF Chat Reliable OFDM Receiver With Ultra-Low Resolution ADC 2019 Hanqing Wang
Wan-Ting Shih
Chao-Kai Wen
Shi Jin
2
+ PDF Chat Convexity, Classification, and Risk Bounds 2006 Peter L. Bartlett
Michael I. Jordan
Jon McAuliffe
2
+ PDF Chat Nested Lattice Codes for Gaussian Relay Networks With Interference 2011 Wooseok Nam
Sae-Young Chung
Yong H. Lee
2
+ Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy 2018 Qian Yu
Songze Li
Netanel Raviv
Seyed Mohammadreza Mousavi Kalan
Mahdi Soltanolkotabi
Salman Avestimehr
2
+ Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation 2018 Jack Kosaian
K. V. Rashmi
Shivaram Venkataraman
2
+ On the Optimal Recovery Threshold of Coded Matrix Multiplication 2019 Sanghamitra Dutta
Mohammad Fahim
Farzin Haddadpour
Haewon Jeong
Viveck R. Cadambe
Pulkit Grover
2
+ Speeding Up Distributed Machine Learning Using Codes 2017 Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
2
+ Some aspects of convexity useful in information theory 1980 H. S. Witsenhausen
2
+ Hybrid Architectures With Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs 2017 Jianhua Mo
Ahmed Alkhateeb
Shadi Abu‐Surra
Robert W. Heath
2
+ PDF Chat Gaussian Interference Channel Capacity to Within One Bit 2008 Raúl Etkin
David Tse
Hua Wang
2