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04/13/2023
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Sliced inverse regression (SIR, Li 1991) is a pioneering work and the mo...
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03/20/2023
Dimension-agnostic Change Point Detection
Change point testing is a well-studied problem in statistics. Owing to t...
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03/14/2023
Adaptive Testing for High-dimensional Data
In this article, we propose a class of L_q-norm based U-statistics for a...
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06/06/2022
Robust Inference for Change Points in High Dimension
This paper proposes a new test for a change point in the mean of high-di...
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04/26/2022
Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?
Crowdsourcing is an online outsourcing mode which can solve the current ...
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11/07/2021
Meta Cross-Modal Hashing on Long-Tailed Data
Due to the advantage of reducing storage while speeding up query time on...
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11/07/2021
Cross-modal Zero-shot Hashing by Label Attributes Embedding
Cross-modal hashing (CMH) is one of the most promising methods in cross-...
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01/29/2021
Adaptive Inference for Change Points in High-Dimensional Data
In this article, we propose a class of test statistics for a change poin...
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01/18/2021
Adaptive Change Point Monitoring for High-Dimensional Data
In this paper, we propose a class of monitoring statistics for a mean sh...
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02/10/2020
Dating the Break in High-dimensional Data
This paper is concerned with estimation and inference for the location o...
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05/21/2019