<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chen Zhang | Hao Yan</title><link>https://hyan46.github.io/authors/chen-zhang/</link><atom:link href="https://hyan46.github.io/authors/chen-zhang/index.xml" rel="self" type="application/rss+xml"/><description>Chen Zhang</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-US</language><copyright>© 2026 Hao Yan</copyright><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://hyan46.github.io/media/icon_hudffdcafa99c609c7e4dfde01dba38f93_35970_512x512_fill_lanczos_center_3.png</url><title>Chen Zhang</title><link>https://hyan46.github.io/authors/chen-zhang/</link></image><item><title>Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling</title><link>https://hyan46.github.io/publication/sergin-low-rank-tensor-ijds-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/sergin-low-rank-tensor-ijds-2025/</guid><description/></item><item><title>Thompson sampling-based partially observable online change detection for exponential families</title><link>https://hyan46.github.io/publication/guo-thompson-ijds-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/guo-thompson-ijds-2024/</guid><description/></item><item><title>A Bayesian partially observable online change detection approach with Thompson sampling</title><link>https://hyan46.github.io/publication/guo-bayesian-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/guo-bayesian-2023/</guid><description/></item><item><title>Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering</title><link>https://hyan46.github.io/publication/li-graph-tensor-iise-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-graph-tensor-iise-2023/</guid><description/></item><item><title>Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering</title><link>https://hyan46.github.io/publication/li-tensor-dpmm-sigspatial-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-tensor-dpmm-sigspatial-2023/</guid><description/></item><item><title>Individualized Passenger Travel Pattern Multi-Clustering Based on Graph Regularized Tensor Latent Dirichlet Allocation</title><link>https://hyan46.github.io/publication/li-individualized-2022/</link><pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-individualized-2022/</guid><description/></item><item><title>Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent Dirichlet allocation</title><link>https://hyan46.github.io/publication/li-individualized-dmkd-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-individualized-dmkd-2022/</guid><description/></item><item><title>Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction</title><link>https://hyan46.github.io/publication/li-tensor-2020/</link><pubDate>Tue, 01 Dec 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-tensor-2020/</guid><description/></item><item><title>Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning</title><link>https://hyan46.github.io/publication/zhang-dynamic-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhang-dynamic-2020/</guid><description/></item><item><title>Long-short term spatiotemporal tensor prediction for passenger flow profile</title><link>https://hyan46.github.io/publication/li-long-short-spatiotemporal-ral-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-long-short-spatiotemporal-ral-2020/</guid><description/></item><item><title>Partially observable online change detection via smooth-sparse decomposition</title><link>https://hyan46.github.io/publication/guo-partially-observable-arxiv-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/guo-partially-observable-arxiv-2020/</guid><description/></item><item><title>Multiple profiles sensor-based monitoring and anomaly detection</title><link>https://hyan46.github.io/publication/zhang-multiple-2018/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhang-multiple-2018/</guid><description/></item><item><title>Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis</title><link>https://hyan46.github.io/publication/zhang-weakly-2018/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhang-weakly-2018/</guid><description/></item></channel></rss>