Publications (Selected)

Perceptual Quality in Image/Video Processing

  • Rate-Distortion-Perception Tradeoff for Lossy Compression Using Conditional Perception Measure
    S. Salehkalaibar, J. Chen, A. Khisti and W. Yu
    IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024

  • Rate-Distortion-Perception Function of Gaussian Vector Sources
    J. Qian, S. Salehkalaibar, J. Chen, A. Khisti, W. Yu, W. Shi, Y. Ge and W. Tong
    Learn to Compress Workshop in IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024
    Spotlight paper

  • On the Choice of Perception Loss Function for Learned Video Compression
    S. Salehkalaibar *, B. Phan*, J. Chen, W. Yu and A. Khisti (*equal contribution)
    Neural Information Processing Systems (NeurIPS), 2023

  • On the Choice of Perception Loss Function for Learned Video Compression
    S. Salehkalaibar *, B. Phan*, J. Chen, W. Yu and A. Khisti (*equal contribution)
    Neural Compression Workshop in 40th Int. Conf. on Machine Learning (ICML), Honolulu, Hawaii, 2023
    Spotlight paper

  • Rate-Distortion-Perception Tradeoff Based on the Conditional Perception Measure
    S. Salehkalaibar, B. Phan, A. Khisti and W. Yu
    31st Biennial Symp. on Comm. (BSC), Montreal, Canada, 2023

  • Towards Multi-domain Single Image Dehazing via Test-time Training
    H. Liu, Z. Wu, L. Li, S. Salehkalaibar, J. Chen and K. Wang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, 2022


Distributed Learning/Testing/Compression

  • M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
    Y. Liu, S. Rini, S. Salehkalaibar and J. Chen
    IEEE Trans. on Communications, 2023

  • M22: Rate-Distortion Inspired Gradient Compression
    Y. Liu, S. Salehkalaibar, S. Rini and J. Chen
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023

  • On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources
    S. Zhou, S. Salehkalaibar, J. Qian, J. Chen, W. Shi, Y. Ge, and W. Tong
    56th Annual Conference on Information Sciences and Systems (CISS), Princeton University, 2022
    Invited paper

  • On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources
    S. Zhou, S. Salehkalaibar, J. Qian, J. Chen, W. Shi,Y. Ge, and W. Tong
    IEEE Trans. on Communications, 2022

  • Distributed Hypothesis Testing with Variable-Length Coding
    S. Salehkalaibar and M. Wigger
    IEEE Journal of Selected Areas on Information Theory (JSAIT), Special issue on statistical estimation and inference, 2020

  • Distributed Hypothesis Testing Based on Unequal-Error Protection Codes
    S. Salehkalaibar and M. Wigger
    IEEE Trans. on Information Theory, 2020

  • Hypothesis Testing Over the Two-Hop Relay Network
    S. Salehkalaibar, M. Wigger, L. Wang
    IEEE Trans. on Information Theory, 2019

  • On Hypothesis Testing Against Independence With Multiple Decision Centers
    S. Salehkalaibar, M. Wigger and R. Timo
    IEEE Trans. on Communications, 2018

  • Distributed Hypothesis Testing Over Multi-Access Channels
    S. Salehkalaibar and M. Wigger
    IEEE Globecom, Abu Dhabi, 2018

  • Hypothesis Testing over Noisy Channels
    S. Salehkalaibar and M. Wigger
    International Zurich Seminar (IZS), Zurich, Switzerland, 2017

  • Hypothesis Testing Over Cascade Channels
    S. Salehkalaibar, M. Wigger and L. Wang
    IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, 2017

  • On Source Transmission Over Some Classes of Relay Channels
    S. Salehkalaibar and M. R. Aref
    IEEE International Symposium on Information Theory (ISIT), MIT, USA, 2012


Privacy/Security

  • State Masking Over a Two-State Compound Channel
    S. Salehkalaibar, M. H. Yassaee, V. Y. F. Tan and M. Ahmadipour
    IEEE Trans. on Information Theory, 2021

  • On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
    L. Sadighi, S. Salehkalaibar and S. Rini
    IEEE Information Theory Workshop (ITW), Riva Del Garda, Italy, 2020

  • Distributed Hypothesis Testing with Privacy Constraints
    A. Gilani, S. Belhadj Amor, S. Salehkalaibar and V. Y. F. Tan
    Entropy (Special issue on probabilistic methods in information theory, hypothesis testing and coding), 2019
    Feature paper

  • Distributed Hypothesis Testing with Privacy Constraints
    S. Belhadj Amor, A. Gilani, S. Salehkalaibar and V. Y. F. Tan
    IEEE International Symposium on Information Theory and Applications (ISITA), Singapore, 2018

  • Hypothesis Testing for Privacy of Smart Meters With Side Information
    S. Salehkalaibar, F. Aminifar and M. Shahidehpour
    IEEE Trans. on Smart Grids, 2018

  • One-Receiver, Two-Eavesdropper Broadcast Channel With Degraded Message Sets
    S. Salehkalaibar, M. Mirmohseni and M. R. Aref
    IEEE Trans. on Information Forensics and Security, 2013