Yu Xiang

Orcid: 0000-0002-2891-9153

Affiliations:
  • University of Utah, Electrical and Computer Engineering Department, Salt Lake City, UT, USA
  • Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA (2015-2018)
  • University of California, San Diego, Department of electrical and computer engineering, CA, USA (PhD 2015)


According to our database1, Yu Xiang authored at least 31 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning.
CoRR, 2024

2023
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Learning Invariant Representations Under General Interventions on the Response.
IEEE J. Sel. Areas Inf. Theory, 2023

Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Generalized Invariant Matching Property Via Lasso.
Proceedings of the IEEE International Conference on Acoustics, 2023

Communication-Efficient Distribution-Free Inference Over Networks.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Identifying Direct Causes Using Intervened Target Variable.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Lower Bounds on the Error Probability for Invariant Causal Prediction.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Communication-Efficient Distributed Multiple Testing for Large-Scale Inference.
Proceedings of the IEEE International Symposium on Information Theory, 2022

An Invariant Matching Property for Distribution Generalization under Intervened Response.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
A Subsampling-Based Method for Causal Discovery on Discrete Data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Differentially Private Variable Selection via the Knockoff Filter.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Causal Inference Using Linear Time-Varying Filters with Additive Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Information Laundering for Model Privacy.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data.
Proceedings of the Data Compression Conference, 2020

2019
Estimation of the Evolutionary Spectra With Application to Stationarity Test.
IEEE Trans. Signal Process., 2019

Distributed False Discovery Rate Control with Quantization.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Symmetric Pseudo-Random Matrices.
IEEE Trans. Inf. Theory, 2018

Pseudo-Wigner Matrices.
IEEE Trans. Inf. Theory, 2018

Evolutionary Spectra Based on the Multitaper Method with Application To Stationarity Test.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Multiple Change Point Analysis: Fast Implementation and Strong Consistency.
IEEE Trans. Signal Process., 2017

Explicit symmetric pseudo-random matrices.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Pseudo-wigner matrices from dual BCH codes.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Detecting structural changes in dependent data.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2014
A few meta-theorems in network information theory.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

2013
Gaussian Channel With Noisy Feedback and Peak Energy Constraint.
IEEE Trans. Inf. Theory, 2013

Interactive hypothesis testing against independence.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Interactive hypothesis testing with communication constraints.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Information flooding.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
On the AWGN channel with noisy feedback and peak energy constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2010


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