Loading web-font TeX/Math/Italic
Le Ou-Yang - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Le Ou-Yang

Publications
29
Citations
181
Publications by Year
20152025
Co-Authors:
Show All Co-Authors (51)
Image of author Le Ou-Yang

Le Ou-Yang

Affiliation

Guangdong Laboratory of Machine Perception and Intelligent Computing
Faculty of Engineering
Shenzhen MSU-BIT University, Shenzhen, China

Publication Topics

Biography

Le Ou-Yang (M’16) received the Ph.D. degree from Sun Yat-sen University, Guangzhou, China, in 2015.,He is currently an Assistant Professor with the College of Information Engineering, Shenzhen University, Shenzhen, China. His current research interests include machine learning, data mining, and bioinformatics.(Based on document published on 6 July 2018).
Publications
29
Citations
181
Publications by Year
20152025
Co-Authors:
Show All Co-Authors (51)
Author's Published Works

Showing 1-25 of 95 results

  • Sort

Filter Results

Show

Sort By

Results

How to Query an Oracle? Efficient Strategies to Label Data

Farshad Lahouti;Victoria Kostina;Babak Hassibi

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2022 | Volume: 44, Issue: 11 | Journal Article |
Cited by: Papers (3)
We consider the basic problem of querying an expert oracle for labeling a dataset in machine learning. This is typically an expensive and time consuming process and therefore, we seek ways to do so efficiently. The conventional approach involves comparing each sample with (the representative of) each class to find a match. In a setting with NN equally likely classes, this involves N/2N/2 pairw...Show More

How to Query an Oracle? Efficient Strategies to Label Data

Farshad Lahouti;Victoria Kostina;Babak Hassibi

Year: 2022 | Volume: 44, Issue: 11 | Journal Article |

Two-Layer Coded Channel Access With Collision Resolution: Design and Analysis

Mohammadreza Ebrahimi;Farshad Lahouti;Victoria Kostina

IEEE Transactions on Wireless Communications
Year: 2020 | Volume: 19, Issue: 12 | Journal Article |
Cited by: Papers (2)
We propose a two-layer coding architecture for communication of multiple users over a shared slotted medium enabling joint collision resolution and decoding. Each user first encodes its information bits with an outer code for reliability, and then transmits these coded bits with possible repetitions over transmission time slots of the access channel. The transmission patterns are dictated by the i...Show More

Two-Layer Coded Channel Access With Collision Resolution: Design and Analysis

Mohammadreza Ebrahimi;Farshad Lahouti;Victoria Kostina

Year: 2020 | Volume: 19, Issue: 12 | Journal Article |

Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus

Navid Azizan-Ruhi;Farshad Lahouti;Amir Salman Avestimehr;Babak Hassibi

IEEE Transactions on Signal Processing
Year: 2019 | Volume: 67, Issue: 14 | Journal Article |
Cited by: Papers (21)
Solving a large-scale system of linear equations is a key step at the heart of many algorithms in scientific computing, machine learning, and beyond. When the problem dimension is large, computational and/or memory constraints make it desirable, or even necessary, to perform the task in a distributed fashion. In this paper, we consider a common scenario in which a taskmaster intends to solve a lar...Show More

Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus

Navid Azizan-Ruhi;Farshad Lahouti;Amir Salman Avestimehr;Babak Hassibi

Year: 2019 | Volume: 67, Issue: 14 | Journal Article |

Analysis of Distributed ADMM Algorithm for Consensus Optimization in Presence of Node Error

Layla Majzoobi;Farshad Lahouti;Vahid Shah-Mansouri

IEEE Transactions on Signal Processing
Year: 2019 | Volume: 67, Issue: 7 | Journal Article |
Cited by: Papers (36)
Alternating direction method of multipliers (ADMM) is a popular convex optimization algorithm, which can be employed for solving distributed consensus optimization problems. In this setting, agents locally estimate the optimal solution of an optimization problem and exchange messages with their neighbors over a connected network. The distributed algorithms are typically exposed to different types ...Show More

Analysis of Distributed ADMM Algorithm for Consensus Optimization in Presence of Node Error

Layla Majzoobi;Farshad Lahouti;Vahid Shah-Mansouri

Year: 2019 | Volume: 67, Issue: 7 | Journal Article |

Neuronal Synchronization Can Control the Energy Efficiency of Inter-Spike Interval Coding

Siavash Ghavami;Vahid Rahmati;Farshad Lahouti;Lars Schwabe

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
Year: 2018 | Volume: 4, Issue: 4 | Journal Article |
Cited by: Papers (6)
The role of synchronous firing in sensory coding and cognition remains controversial. While studies, focusing on its mechanistic consequences in attentional tasks, suggest that synchronization dynamically boosts sensory processing, others failed to find significant synchronization levels in such tasks. We attempt to understand both lines of evidence within a coherent theoretical framework. We conc...Show More

Neuronal Synchronization Can Control the Energy Efficiency of Inter-Spike Interval Coding

Siavash Ghavami;Vahid Rahmati;Farshad Lahouti;Lars Schwabe

Year: 2018 | Volume: 4, Issue: 4 | Journal Article |

Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus

Navid Azizan-Ruhi;Farshad Lahouti;Salman Avestimehr;Babak Hassibi

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
Solving a large-scale system of linear equations is a key step at the heart of many algorithms in scientific computing, machine learning, and beyond. When the problem dimension is large, computational and/or memory constraints make it desirable, or even necessary, to perform the task in a distributed fashion. In this paper, we consider a common scenario in which a taskmaster intends to solve a lar...Show More

Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus

Navid Azizan-Ruhi;Farshad Lahouti;Salman Avestimehr;Babak Hassibi

Year: 2018 | Conference Paper |

Exact Assessment of the Delay-Rate Tradeoff in Ergodic Interference Alignment

Michele Zorzi;Atieh R. Khamesi;Farshad Lahouti

IEEE Communications Letters
Year: 2018 | Volume: 22, Issue: 5 | Journal Article |
Cited by: Papers (2)
In order to increase the network capacity and fulfill the Quality of Service requirements in multi-user wireless networks, interference alignment (IA) has been proposed. Subsequently, ergodic IA was introduced as a promising scheme to achieve a degrees-of-freedom metric equal to (1/2), at the expense of additional delay. In this letter, we study the delay-rate trade-off in ergodic IA and exactly c...Show More

Exact Assessment of the Delay-Rate Tradeoff in Ergodic Interference Alignment

Michele Zorzi;Atieh R. Khamesi;Farshad Lahouti

Year: 2018 | Volume: 22, Issue: 5 | Journal Article |

RCFD: A Novel Channel Access Scheme for Full-Duplex Wireless Networks Based on Contention in Time and Frequency Domains

Michele Luvisotto;Alireza Sadeghi;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

IEEE Transactions on Mobile Computing
Year: 2018 | Volume: 17, Issue: 10 | Journal Article |
Cited by: Papers (10)
In the last years, the advancements in signal processing and integrated circuits technology allowed several research groups to develop working prototypes of in-band full-duplex wireless systems. The introduction of such a revolutionary concept is promising in terms of increasing network performance, but at the same time poses several new challenges, especially at the MAC layer. Consequently, innov...Show More

RCFD: A Novel Channel Access Scheme for Full-Duplex Wireless Networks Based on Contention in Time and Frequency Domains

Michele Luvisotto;Alireza Sadeghi;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

Year: 2018 | Volume: 17, Issue: 10 | Journal Article |

Coded random access design for constrained outage

MohammadReza Ebrahimi;Farshad Lahouti;Victoria Kostina

2017 IEEE International Symposium on Information Theory (ISIT)
Year: 2017 | Conference Paper |
The emergence of networks of many devices in the context of cyber-physical systems motivates novel solutions for communication over random access channels. Currently deployed random access protocols attempt to avoid collisions, and target the performance of a scheduled multiple access system (a strategy known to be only suboptimal from the information-theoretic perspective). In contrast, in this p...Show More

Coded random access design for constrained outage

MohammadReza Ebrahimi;Farshad Lahouti;Victoria Kostina

Year: 2017 | Conference Paper |

Abnormality Detection in Correlated Gaussian Molecular Nano-Networks: Design and Analysis

Siavash Ghavami;Farshad Lahouti

IEEE Transactions on NanoBioscience
Year: 2017 | Volume: 16, Issue: 3 | Journal Article |
Cited by: Papers (26)
A nano-abnormality detection scheme (NADS) in molecular nano-networks is studied. This is motivated by the fact that early detection of diseases such as cancer plays a crucial role in their successful treatment. The proposed NADS is in fact a two-tier network of sensor nano-machines (SNMs) in the first tier and a data-gathering node (DGN) at the sink. The SNMs detect the presence of competitor cel...Show More

Abnormality Detection in Correlated Gaussian Molecular Nano-Networks: Design and Analysis

Siavash Ghavami;Farshad Lahouti

Year: 2017 | Volume: 16, Issue: 3 | Journal Article |

Robust causal transform coding for LQG systems with delay loss in communications

Mohammad Kazem Izadinasab;Amir Homayoun Bahari Sani;Farshad Lahouti;Babak Hassibi

2016 American Control Conference (ACC)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
A networked controlled system (NCS) in which the plant communicates to the controller over a channel with random delay loss is considered. The channel model is motivated by recent development of tree codes for NCS, which effectively translates an erasure channel to one with random delay. A causal transform coding scheme is presented which exploits the plant state memory for efficient communication...Show More

Robust causal transform coding for LQG systems with delay loss in communications

Mohammad Kazem Izadinasab;Amir Homayoun Bahari Sani;Farshad Lahouti;Babak Hassibi

Year: 2016 | Conference Paper |

Statistical QoS analysis of full duplex and half duplex heterogeneous cellular networks

Alireza Sadeghi;Michele Luvisotto;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

2016 IEEE International Conference on Communications (ICC)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
In this paper, statistical Quality of Service provisioning in next generation heterogeneous mobile cellular networks is investigated. To this aim, any active entity of the cellular network is regarded as a queuing system, whose statistical QoS requirements depend on the specific application. In this context, by quantifying the performance in terms of effective capacity, we introduce a lower bound ...Show More

Statistical QoS analysis of full duplex and half duplex heterogeneous cellular networks

Alireza Sadeghi;Michele Luvisotto;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

Year: 2016 | Conference Paper |

Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users

Peyman Tehrani;Farshad Lahouti;Michele Zorzi

2016 IEEE International Conference on Communications (ICC)
Year: 2016 | Conference Paper |
Cited by: Papers (21)
Recent studies indicate the feasibility of in-band full-duplex (FD) wireless communications, where a wireless radio transmits and receives simultaneously in the same band. Due to its potential to increase the capacity, analyzing the performance of a cellular network that contains full-duplex devices is crucial. In this paper, we consider maximizing the weighted sum-rate of downlink and uplink of a...Show More

Resource allocation in OFDMA networks with half-duplex and imperfect full-duplex users

Peyman Tehrani;Farshad Lahouti;Michele Zorzi

Year: 2016 | Conference Paper |

RCFD: A frequency-based channel access scheme for full-duplex wireless networks

Michele Luvisotto;Alireza Sadeghi;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

2016 IEEE International Conference on Communications (ICC)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
Recently, several working implementations of inband full-duplex wireless systems have been presented, where the same node can transmit and receive simultaneously in the same frequency band. The introduction of such a possibility at the physical layer could lead to improved performance but also poses several challenges at the MAC layer. In this paper, an innovative mechanism of channel contention i...Show More

RCFD: A frequency-based channel access scheme for full-duplex wireless networks

Michele Luvisotto;Alireza Sadeghi;Farshad Lahouti;Stefano Vitturi;Michele Zorzi

Year: 2016 | Conference Paper |

Analysis of key generation rate from wireless channel in in-band full-duplex communications

Alireza Sadeghi;Michele Zorzi;Farshad Lahouti

2016 IEEE International Conference on Communications Workshops (ICC)
Year: 2016 | Conference Paper |
Cited by: Papers (10)
In this paper, the impact of in-band full-duplex (IBFD) wireless communications on secret key generation via physical layer channel state information is investigated. A key generation strategy for IBFD wireless devices to increase the rate of generated secret keys over multipath fading channels is proposed. Conventionally, due to the half-duplex (HD) constraint on wireless transmissions, sensing s...Show More

Analysis of key generation rate from wireless channel in in-band full-duplex communications

Alireza Sadeghi;Michele Zorzi;Farshad Lahouti

Year: 2016 | Conference Paper |

Automatic fault detection and diagnosis in cellular networks using operations support systems data

Samira Rezaei;Hamidreza Radmanesh;Payam Alavizadeh;Hamidreza Nikoofar;Farshad Lahouti

NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium
Year: 2016 | Conference Paper |
Self-Healing is one of the key important functionalities in self-organizing mobile communication networks. Despite its importance, self-healing has yet to receive a deserving research attention in the literature. This paper considers important quality indicators in a live mobile communications network and presents an automatic unified detection and diagnosis framework to identify root causes of fa...Show More

Automatic fault detection and diagnosis in cellular networks using operations support systems data

Samira Rezaei;Hamidreza Radmanesh;Payam Alavizadeh;Hamidreza Nikoofar;Farshad Lahouti

Year: 2016 | Conference Paper |

Analysis of distributed ADMM algorithm for consensus optimization in presence of error

Layla Majzoobi;Farshad Lahouti

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2016 | Conference Paper |
Cited by: Papers (7)
ADMM is a popular algorithm for solving convex optimization problems. Applying this algorithm to distributed consensus optimization problem results in a fully distributed iterative solution which relies on processing at the nodes and communication between neighbors. Local computations usually suffer from different types of errors, due to e.g., observation or quantization noise, which can degrade t...Show More

Analysis of distributed ADMM algorithm for consensus optimization in presence of error

Layla Majzoobi;Farshad Lahouti

Year: 2016 | Conference Paper |

Resilient decentralized consensus-based state estimation for smart grid in presence of false data

Reza Hassani Etemad;Farshad Lahouti

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2016 | Conference Paper |
Cited by: Papers (21)
State estimation is an essential part of energy management system in smart grid as it is a basis for many of the associated management and control processes. In this paper, we present a decentralized state estimation approach, based on consensus optimization and the alternating direction method of multipliers, that is robust against certain harsh class of false data injection schemes. The proposed...Show More

Resilient decentralized consensus-based state estimation for smart grid in presence of false data

Reza Hassani Etemad;Farshad Lahouti

Year: 2016 | Conference Paper |

Distortion-Power Tradeoffs in Quasi-Stationary Source Transmission Over Delay and Buffer Limited Block Fading Channels

Roghayeh Joda;Farshad Lahouti;Elza Erkip

IEEE Transactions on Wireless Communications
Year: 2016 | Volume: 15, Issue: 7 | Journal Article |
Cited by: Papers (3)
This paper investigates distortion-power tradeoffs in transmission of quasi-stationary sources over delay and buffer limited block fading channels by studying encoder and decoder buffering techniques to smooth out the source and channel variations. Four source and channel coding schemes that consider buffer and power constraints are presented to minimize the reconstructed source distortion. The fi...Show More

Distortion-Power Tradeoffs in Quasi-Stationary Source Transmission Over Delay and Buffer Limited Block Fading Channels

Roghayeh Joda;Farshad Lahouti;Elza Erkip

Year: 2016 | Volume: 15, Issue: 7 | Journal Article |

Information Rates of ASK-Based Molecular Communication in Fluid Media

Siavash Ghavami;Raviraj S. Adve;Farshad Lahouti

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
Year: 2015 | Volume: 1, Issue: 3 | Journal Article |
Cited by: Papers (11)
This paper studies the capacity of molecular communications in fluid media, where the information is encoded in the number of transmitted molecules in a time-slot (amplitude shift keying). The propagation of molecules is governed by random Brownian motion and the communication is in general subject to intersymbol interference (ISI). We first consider the case where ISI is negligible and analyze th...Show More

Information Rates of ASK-Based Molecular Communication in Fluid Media

Siavash Ghavami;Raviraj S. Adve;Farshad Lahouti

Year: 2015 | Volume: 1, Issue: 3 | Journal Article |

Bounds on the Capacity of ASK Molecular Communication Channels with ISI

Siavash Ghavami;Raviraj Adve;Farshad Lahouti

2015 IEEE Global Communications Conference (GLOBECOM)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
There are now several works on the use of the additive inverse Gaussian noise (AIGN) model for the random transit time in molecular communication (MC) channels. The randomness invariably causes inter- symbol interference (ISI) in MC, an issue largely ignored or simplified. In this paper we derive an upper bound and two lower bounds for MC based on amplitude shift keying (ASK) in presence of ISI. T...Show More

Bounds on the Capacity of ASK Molecular Communication Channels with ISI

Siavash Ghavami;Raviraj Adve;Farshad Lahouti

Year: 2015 | Conference Paper |

Constellation Shaping and LDPC Coding in a Bidirectional Full Duplex Communication

A. Sadeghi;F. Lahouti;M. Zorzi

2015 IEEE Global Communications Conference (GLOBECOM)
Year: 2015 | Conference Paper |
Cited by: Papers (5) | Patents (1)
We investigate the ability of the physical layer approaches of constellation shaping and forward error correction to enhance the performance of full duplex (FD) wireless radio systems. We use low density parity check and optimized shaping codes to transmit non-equiprobable constellation points from an amplitude phase shift keying modulation with imperfect power amplifier and in the presence of FD ...Show More

Constellation Shaping and LDPC Coding in a Bidirectional Full Duplex Communication

A. Sadeghi;F. Lahouti;M. Zorzi

Year: 2015 | Conference Paper |

Wyner-Ziv source coding with feedback and uncertain side information

Roghayeh Joda;Elza Erkip;Farshad Lahouti

2015 Iran Workshop on Communication and Information Theory (IWCIT)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
In this paper, the problem of lossy source coding with side information at the decoder is considered when the dependency between the source and the side information (SI) is quasi-stationary and unknown to the encoder. This dependency is modeled using a (virtual) block fading channel. In order to help the decoder estimate the dependency, a part of the transmitted source in each block is coded at hi...Show More

Wyner-Ziv source coding with feedback and uncertain side information

Roghayeh Joda;Elza Erkip;Farshad Lahouti

Year: 2015 | Conference Paper |

Synchrony in neuronal communication: An energy efficient scheme

Siavash Ghavami;Vahid Rahmati;Farshad Lahouti;Lars Schwabe

2015 Iran Workshop on Communication and Information Theory (IWCIT)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
We are interested in understanding the neural correlates of attentional processes using first principles. Here we apply a recently developed first principles approach that uses transmitted information in bits per joule to quantify the energy efficiency of information transmission for an inter-spike-interval (ISI) code that can be modulated by means of the synchrony in the presynaptic population. W...Show More

Synchrony in neuronal communication: An energy efficient scheme

Siavash Ghavami;Vahid Rahmati;Farshad Lahouti;Lars Schwabe

Year: 2015 | Conference Paper |

Optimum delay-rate tradeoff in Ergodic Interference Alignment

Atieh R. Khamesi;Farshad Lahouti;Michele Zorzi

7'th International Symposium on Telecommunications (IST'2014)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
In this paper, we consider one of the main disadvantages of Ergodic Interference Alignment, i.e., delay. We propose two methods to solve the open problem of finding the best choice of user sets in order to minimize the delay. With these methods we are able to find the best JAP-B scheme which aims to trade off rate for delay in Ergodic Interference Alignment. First, we provide the solution based on...Show More

Optimum delay-rate tradeoff in Ergodic Interference Alignment

Atieh R. Khamesi;Farshad Lahouti;Michele Zorzi

Year: 2014 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.