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Yu Xiang 0004
Person information
- affiliation: University of Utah, Electrical and Computer Engineering Department, Salt Lake City, UT, USA
- affiliation (2015-2018): Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation (PhD 2015): University of California, San Diego, Department of electrical and computer engineering, CA, USA
Other persons with the same name
- Yu Xiang — disambiguation page
- Yu Xiang 0001 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA (and 2 more)
- Yu Xiang 0002
— University of Electronic Science and Technology of China, Chengdu, Sichuan, China (and 1 more)
- Yu Xiang 0003
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2020 – today
- 2024
- [j8]Kang Du
Causal Inference From Slowly Varying Nonstationary Processes. IEEE Trans. Signal Inf. Process. over Networks 10: 403-416 (2024) - [c25]Kang Du, Yu Xiang:
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning. CLeaR 2024: 1008-1032 - [c24]Austin Goddard, Kang Du, Yu Xiang:
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. ISIT 2024: 190-195 - [i18]Kang Du, Yu Xiang:
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning. CoRR abs/2402.06884 (2024) - [i17]Mehrdad Pournaderi, Yu Xiang:
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms. CoRR abs/2404.13731 (2024) - [i16]Austin Goddard, Kang Du, Yu Xiang:
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. CoRR abs/2404.15245 (2024) - [i15]Mehrdad Pournaderi, Yu Xiang:
Training-Conditional Coverage Bounds under Covariate Shift. CoRR abs/2405.16594 (2024) - 2023
- [j7]Kang Du
Learning Invariant Representations Under General Interventions on the Response. IEEE J. Sel. Areas Inf. Theory 4: 808-819 (2023) - [j6]Mehrdad Pournaderi
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach. IEEE Trans. Signal Inf. Process. over Networks 9: 442-457 (2023) - [c23]Mehrdad Pournaderi, Yu Xiang:
Communication-Efficient Distribution-Free Inference Over Networks. ACSSC 2023: 675-681 - [c22]Kang Du, Yu Xiang, Ilya Soloveychik:
Identifying Direct Causes Using Intervened Target Variable. ACSSC 2023: 915-919 - [c21]Austin Goddard, Yu Xiang, Ilya Soloveychik:
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. ACSSC 2023: 932-936 - [c20]Kang Du, Yu Xiang:
Generalized Invariant Matching Property Via Lasso. ICASSP 2023: 1-5 - [c19]Mehrdad Pournaderi, Yu Xiang:
Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks. ISIT 2023: 1949-1954 - [i14]Kang Du, Yu Xiang:
Generalized Invariant Matching Property via LASSO. CoRR abs/2301.05975 (2023) - [i13]Mehrdad Pournaderi, Yu Xiang:
Communication-Efficient Distribution-Free Inference Over Networks. CoRR abs/2307.09850 (2023) - [i12]Austin Goddard, Yu Xiang, Ilya Soloveychik:
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. CoRR abs/2308.10119 (2023) - 2022
- [c18]Kang Du, Yu Xiang:
An Invariant Matching Property for Distribution Generalization under Intervened Response. EUSIPCO 2022: 1387-1391 - [c17]Mehrdad Pournaderi, Yu Xiang:
Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. ISIT 2022: 1477-1482 - [c16]Austin Goddard, Yu Xiang, Ilya Soloveychik:
Lower Bounds on the Error Probability for Invariant Causal Prediction. MLSP 2022: 1-6 - [i11]Mehrdad Pournaderi, Yu Xiang:
Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. CoRR abs/2201.13008 (2022) - [i10]Kang Du, Yu Xiang:
An Invariant Matching Property for Distribution Generalization under Intervened Response. CoRR abs/2205.09162 (2022) - [i9]Austin Goddard, Yu Xiang, Ilya Soloveychik:
Lower Bounds on the Error Probability for Invariant Causal Prediction. CoRR abs/2206.14362 (2022) - [i8]Kang Du, Yu Xiang:
Learning Invariant Representations under General Interventions on the Response. CoRR abs/2208.10027 (2022) - [i7]Mehrdad Pournaderi, Yu Xiang:
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach. CoRR abs/2211.16059 (2022) - 2021
- [c15]Xinran Wang, Yu Xiang, Jun Gao, Jie Ding:
Information Laundering for Model Privacy. ICLR 2021 - [c14]Kang Du, Yu Xiang:
Causal Inference Using Linear Time-Varying Filters with Additive Noise. ISIT 2021: 896-901 - [c13]Mehrdad Pournaderi, Yu Xiang:
Differentially Private Variable Selection via the Knockoff Filter. MLSP 2021: 1-6 - [c12]Austin Goddard, Yu Xiang:
A Subsampling-Based Method for Causal Discovery on Discrete Data. SSP 2021: 341-345 - [i6]Austin Goddard, Yu Xiang:
A Subsampling-Based Method for Causal Discovery on Discrete Data. CoRR abs/2108.13984 (2021) - [i5]Mehrdad Pournaderi, Yu Xiang:
Differentially Private Variable Selection via the Knockoff Filter. CoRR abs/2109.05402 (2021) - 2020
- [c11]Kang Du, Austin Goddard, Yu Xiang:
On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data. DCC 2020: 365 - [i4]Xinran Wang, Yu Xiang, Jun Gao, Jie Ding:
Information Laundering for Model Privacy. CoRR abs/2009.06112 (2020) - [i3]Kang Du, Yu Xiang:
Causal Inference Using Linear Time-Varying Filters with Additive Noise. CoRR abs/2012.13025 (2020)
2010 – 2019
- 2019
- [j5]Yu Xiang
Estimation of the Evolutionary Spectra With Application to Stationarity Test. IEEE Trans. Signal Process. 67(5): 1353-1365 (2019) - [c10]Yu Xiang:
Distributed False Discovery Rate Control with Quantization. ISIT 2019: 246-249 - 2018
- [j4]Ilya Soloveychik
Pseudo-Wigner Matrices. IEEE Trans. Inf. Theory 64(4): 3170-3178 (2018) - [j3]Ilya Soloveychik
Symmetric Pseudo-Random Matrices. IEEE Trans. Inf. Theory 64(4): 3179-3196 (2018) - [c9]Yu Xiang, Jie Ding, Vahid Tarokh:
Evolutionary Spectra Based on the Multitaper Method with Application To Stationarity Test. ICASSP 2018: 3994-3998 - 2017
- [j2]Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh:
Multiple Change Point Analysis: Fast Implementation and Strong Consistency. IEEE Trans. Signal Process. 65(17): 4495-4510 (2017) - [c8]Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh:
Detecting structural changes in dependent data. GlobalSIP 2017: 750-754 - [c7]Ilya Soloveychik, Yu Xiang, Vahid Tarokh:
Pseudo-wigner matrices from dual BCH codes. ISIT 2017: 1381-1385 - [c6]Ilya Soloveychik, Yu Xiang, Vahid Tarokh:
Explicit symmetric pseudo-random matrices. ITW 2017: 424-428 - [i2]Ilya Soloveychik, Yu Xiang, Vahid Tarokh:
Pseudo-Wigner Matrices from Dual BCH Codes. CoRR abs/1701.05544 (2017) - 2014
- [c5]Yu Xiang, Young-Han Kim:
A few meta-theorems in network information theory. ITW 2014: 77-81 - 2013
- [j1]Yu Xiang, Young-Han Kim:
Gaussian Channel With Noisy Feedback and Peak Energy Constraint. IEEE Trans. Inf. Theory 59(8): 4746-4756 (2013) - [c4]Yu Xiang, Young-Han Kim:
Interactive hypothesis testing against independence. ISIT 2013: 2840-2844 - 2012
- [c3]Yu Xiang, Young-Han Kim:
Interactive hypothesis testing with communication constraints. Allerton Conference 2012: 1065-1072 - 2011
- [c2]Yu Xiang, Lele Wang, Young-Han Kim:
Information flooding. Allerton 2011: 45-51 - [i1]Yu Xiang, Young-Han Kim:
Gaussian Channel with Noisy Feedback and Peak Energy Constraint. CoRR abs/1108.3571 (2011) - 2010
- [c1]Yu Xiang, Young-Han Kim:
On the AWGN channel with noisy feedback and peak energy constraint. ISIT 2010: 256-259
Coauthor Index
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last updated on 2024-12-08 02:21 CET by the dblp team
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