Publications

Our research contributions toward superintelligence (SI), machine learning, and industrial systems

Research Publications

Explore journal articles, conference papers, book chapters, and preprints

2026 Publications

A Computer-Aided System for Enhanced M-protein Diagnosis and Monitoring via Multimodal Learning
An, X.; Li, P.*; Han, J.; Ji, W.; Di, Q.; Liang, Y.; Hou, Y.; Sha, Y.; Su, W.; Qiu, L.; Zhang, C.*
2026 · Nature Communications — accepted
Paper link forthcoming
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
Yingyuan Yang, Tian Lan, Yifei Gao, Yimeng Lu, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2026 · NeurIPS 2026 — accepted
Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
Yifei Gao, Tian Lan, Yimeng Lu, Xuming An, Meng Wang, Wenjun He, Yijie Li, Chen Zhang
2026 · NeurIPS 2026 — accepted
Preprint title: Supervision Recovery for Time Series Anomaly Detection via Context-Anchored Pairing.
Learning Collision-Free Dispatch Policies for Route-Wise Decision-Dependent Anomaly Detection
Xa, X.; Zhang, C.; Liu, K.*
2026 · NeurIPS 2026 — accepted
Quickest Causal Change Point Detection by Adaptive Intervention
Haijie Xu, Chen Zhang
2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence — accepted
SCALE: Style-Causal Disentanglement with Adaptive Lifelong Expert for Online Latent-domain Anomaly Detection
Yimeng Lu, Yifei Gao, Tian Lan, Yingyuan Yang, Wenjun He, Meng Wang, Chen Zhang
2026 · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 3436-3447
DRL-STAF: A Deep Reinforcement Learning Framework for State-aware Forecasting of Complex Multivariate Hidden Markov Process
Manrui Jiang, Jingru Huang, Yong Chen, Chen Zhang
2026 · Accepted by International Conference on Machine Learning (ICML), 2026
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
Tian Lan, Hao Duong Le, Jinbo Li, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2026 · Accepted by International Conference on Machine Learning (ICML), 2026
Spatial In-Profile Monitoring via Latent Tensor Gaussian Process with Mixed Effects
Peiyao Liu, Jie Guo, Chen Zhang, Nan Chen
2026 · Technometrics, 68(3), 639-652
Function-on-Function Gaussian Process with Application in Robust Parameter Design
Jingru Huang, Haijie Xu, Yifei Gao, Chen Zhang
2026 · INFORMS Journal on Computing
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
Jingru Huang, Haijie Xu, Jie Guo, Manrui Jiang, Chen Zhang*
2026 · Accepted by ICLR 2026
Addressing Glaucoma Structure-Function Relationship: A Multi-Task Learning Framework With Multi-Modal and Unpaired Data
Xuming An, Jacqueline Chua, Yujin Wang, Ruben Hemelings, Rahat Husain, Rachel Chong, Tina Wong, Tin Aung, Damon Wong, Chen Zhang, Leopold Schmetterer
2026 · IEEE Transactions on Medical Imaging, 45(2), 448-462
Partially‐Observable Sequential Change‐Point Detection for Autocorrelated Data via Adaptive Upper Confidence Region
Haijie Xu, Xiaochen Xian, Bo Zhang, Chen Zhang, Kaibo Liu
2026 · Naval Research Logistics (NRL), 73(7), 1084-1099
Functional-Edged Network Modeling
Haijie Xu, Chen Zhang
2026 · Technometrics — accepted
Adaptive Change Detection in Partially Observable Dynamic Networks
Jie Guo, Haijie Xu, Chen Zhang
2026 · IEEE Transactions on Knowledge and Data Engineering, 38(3), 1498-1511
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang, Chen Zhang
2026 · AAAI 2026, 40(26), 21994–22002
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting
Junpeng Lin, Tian Lan, Bo Zhang, Ke Lin, Dandan Miao, Huiru He, Jiantao Ye, Chen Zhang, Yan-Fu Li
2026 · AI for Time Series Workshop at AAAI 2026

2025 Publications

Nonlinear Causal Discovery via Dynamic Latent Variables
Xing Yang, Tian Lan, Hao Qiu, Chen Zhang
2025 · IEEE Transactions on Automation Science and Engineering
SPEVS-CC: Separated parameter estimation with variable selection based on canonical correlation analysis for multivariate functional regression
Xing Yang, Haijie Xu, Yiming Shi, Chen Zhang
2025 · Advanced Engineering Informatics
Tensor State Space-based Dynamic Multilayer Network Modeling
Tian Lan, Jie Guo, Chen Zhang
2025 · arXiv preprint arXiv:2506.02413
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian Lan, Yifei Gao, Yimeng Lu, Chen Zhang
2025 · arXiv preprint arXiv:2505.00415
A Deep Reinforcement Learning Method Solving Bilevel Optimization for Product Design Considering Remanufacturing
Yujie Ma, Xin Xia, Jie Guo, Chen Zhang
2025 · IEEE Transactions on Engineering Management
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
Nurretin Dorukhan Sergin, Jiuyun Hu, Ziyue Li, Chen Zhang, Fugee Tsung, Hao Yan
2025 · INFORMS Journal on Data Science, 4(1), 33-50
AXIS: Explainable Time Series Anomaly Detection with Large Language Models
Tian Lan, Hao Duong Le, Jinbo Li, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2025 · arXiv preprint arXiv:2509.24378
Bilevel joint optimization for product design changes with a resilient supply chain based on deep reinforcement learning
Yujie Ma, Xin Xia, Yao Pei, Chen Zhang
2025 · International Journal of Production Economics
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang
2025 · NeurIPS 2025, Datasets and Benchmarks Track
Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network
Junpeng Lin, Tian Lan, Bo Zhang, Ke Lin, Dandan Miao, Huiru He, Jiantao Ye, Chen Zhang, Yan-Fu Li
2025 · IEEE Transactions on Automation Science and Engineering, 22, 5131-5142
Stream of variation modeling and monitoring for heterogeneous profiles in multi-stage manufacturing processes
Peiyao Liu, Yujie Ma, Chen Zhang
2025 · IISE Transactions, 57(11), 1263-1276
Federated multi-task Bayesian network learning in the presence of overlapping and distinct variables
Xing Yang, Ben Niu, Tian Lan, Chen Zhang
2025 · IISE Transactions, 57(7), 773-787
MT-RAM: Multi Task-Recurrent Attention Model for partially observable image anomaly classification and localization
Jie Guo, Congyu Han, Yujie Ma, Chen Zhang
2025 · IISE Transactions, 57(12), 1391-1406
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
Yifei Gao, Yong Chen, Chen Zhang
2025 · NeurIPS 2025
Big Data
Chen Zhang, Kaibo Wang, Fugee Tsung, Miodrag Lovric
2025 · International Encyclopedia of Statistical Science, 285-306 (encyclopedia chapter)
Industrial Big Data
Chen Zhang, Yan-Fu Li, Fugee Tsung
2025 · International Encyclopedia of Statistical Science, 1187-1190 (encyclopedia chapter)

2024 Publications

Multi-agent causal discovery using large language models
Hao Duong Le, Xin Xia, Zhang Chen
2024 · arXiv preprint arXiv:2407.15073
Coupled Epidemic-Information Propagation With Stranding Mechanism on Multiplex Metapopulation Networks
Xuming An, Chen Zhang, Lin Hou, Kaibo Wang
2024 · IEEE Transactions on Computational Social Systems
MultiFun-DAG: Multivariate Functional Directed Acyclic Graph
Tian Lan, Ziyue Li, Junpeng Lin, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Rui Zhao, Chen Zhang
2024 · arXiv preprint arXiv:2404.13836
Thompson Sampling-Based Partially Observable Online Change Detection for Exponential Families
Jie Guo, Hao Yan, Chen Zhang
2024 · INFORMS Journal on Data Science
Online directed-structural change-point detection: A segment-wise time-varying dynamic Bayesian network approach
Xing Yang, Chen Zhang
2024 · IISE Transactions
A comprehensive survey of recent research on profile data analysis
Peiyao Liu, Haijie Xu, Chen Zhang
2024 · Journal of Quality Technology, 56(5), 428-454
Reverse logistics platform decisions integrating crowdsourced contracting: A three-level interactive optimization approach for product design considering remanufacturing
Yujie Ma, Chen Zhang, Gang Du
2024 · Computers & Industrial Engineering
Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach
Peiyao Liu, Junpeng Lin, Chen Zhang
2024 · IEEE Transactions on Knowledge and Data Engineering
Advanced Data Analytical Techniques for Profile Monitoring
Peiyao Liu, Chen Zhang
2024 · Multimodal and Tensor Data Analytics for Industrial Systems Improvement, pp. 21–39 (book chapter)
Fine‐Grained Passenger Load Prediction inside Metro Network via Smart Card Data
Xiancai Tian, Chen Zhang, Baihua Zheng
2024 · International Journal of Intelligent Systems
COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed Functional Data
Juan Du, Yukun Xie, Chen Zhang
2024 · arXiv:2404.03329

2023 Publications

Dynamic causal graph convolutional network for traffic prediction
Junpeng Lin, Ziyue Li, Zhishuai Li, Lei Bai, Rui Zhao, Chen Zhang
2023 · Conference Proceedings
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
Jie Guo, Hao Yan, Chen Zhang
2023 · Technometrics
MM-DAG: Multi-task DAG Learning for Multi-modal Data--with Application for Traffic Congestion Analysis
Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang
2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1188–1199
Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach
Chen Zhang, Baihua Zheng, Fugee Tsung
2023 · Data Mining and Knowledge Discovery
In-profile monitoring for cluster-correlated data in advanced manufacturing system
Peiyao Liu, Juan Du, Yangyang Zang, Chen Zhang, Kaibo Wang
2023 · Journal of Quality Technology
A hidden markov model for condition monitoring of time series data in complex network systems
Wanshan Li, Chen Zhang
2023 · IEEE Transactions on Reliability
A Markov-switching hidden heterogeneous network autoregressive model for multivariate time series data with multimodality
Wanshan Li, Chen Zhang
2023 · IISE Transactions
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung
2023 · Conference Proceedings
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
Ziyue Li, Hao Yan, Chen Zhang, Lijun Sun, Wolfgang Ketter, Fugee Tsung
2023 · arXiv preprint arXiv:2310.20224
A Cluster-Oriented Bayesian Network Approach for Mixed-Type Event Prediction With Application in Order Logistics
Xing Yang, Hui Cao, Chen Zhang
2023 · IEEE Transactions on Industrial Informatics, 19(10), 10069-10078
Deep Cascade-Learning Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis
Xuming An, Pengchang Li, Chen Zhang
2023 · IEEE Transactions on Medical Imaging

2022 Publications

GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning.
Weiqi Zhang, Chen Zhang, Fugee Tsung
2022 · International Joint Conference on Artificial Intelligence (IJCAI), pp. 2390–2397
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation
Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung
2022 · Data Mining and Knowledge Discovery
Modeling of discharge voltage for lithium-ion batteries through orthogonal experiments at subzero environment
Huixing Meng, Yan-Fu Li, Chen Zhang
2022 · Journal of Energy Storage
Segment-wise time-varying dynamic Bayesian network with graph regularization
Xing Yang, Chen Zhang, Baihua Zheng
2022 · ACM Transactions on Knowledge Discovery from Data (TKDD)
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model
Hui Wu, Chen Zhang, Yan-Fu Li
2022 · Technometrics
Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing
Peng Zhou, Peiyao Liu, Shilong Wang, Chen Zhang, Junxing Zhang, Shaobo Li
2022 · Journal of Manufacturing Systems
A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment
Chen Zhang, Jun Long Lim, Ouyang Liu, Aayush Madan, Yongwei Zhu, Shili Xiang, Kai Wu, Rebecca Yen-Ni Wong, Jiliang Eugene Phua, Karan M. Sabnani, Keng Boon Siah, Wenyu Jiang, Yixin Wang, Emily Jianzhong Hao, Steven C. H. Hoi
2022 · IEEE Transactions on Automation Science and Engineering, 19(1), 441-456

2021 Publications

Dynamic multivariate functional data modeling via sparse subspace learning
Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
2021 · Technometrics
Online monitoring of big data streams: A rank-based sampling algorithm by data augmentation
Xiaochen Xian, Chen Zhang, Scott Bonk, Kaibo Liu
2021 · Journal of Quality Technology
Transformer Based Spatial-Temporal Fusion Network for Metro Passenger Flow Forecasting
Weiqi Zhang, Chen Zhang, Fugee Tsung
2021 · IEEE International Conference on Automation Science and Engineering (CASE), pp. 1515–1520
Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach
Bingjie He, Shukai Li, Chen Zhang, Baihua Zheng, Fugee Tsung
2021 · European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp. 321–336

2020 Publications

Tensor completion for weakly-dependent data on graph for metro passenger flow prediction
Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung
2020 · Proceedings of the AAAI Conference on Artificial Intelligence
Long-short term spatiotemporal tensor prediction for passenger flow profile
Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung
2020 · IEEE Robotics and Automation Letters
Spatial rank-based high-dimensional monitoring through random projection
Chen Zhang, Nan Chen, Jianguo Wu
2020 · Journal of Quality Technology
Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data
Xiancai Tian, Chen Zhang, Baihua Zheng
2020 · arXiv preprint arXiv:2009.02880
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis
Chen Zhang, Steven C. H. Hoi, Fugee Tsung
2020 · ACM Transactions on Knowledge Discovery from Data, 14(6), 1-23

2019 Publications

Partially observable multi-sensor sequential change detection: A combinatorial multi-armed bandit approach
Chen Zhang, Steven CH Hoi
2019 · Proceedings of the AAAI Conference on Artificial Intelligence
A sequential bayesian partitioning approach for online steady-state detection of multivariate systems
Jianguo Wu, Honglun Xu, Chen Zhang, Yuan Yuan
2019 · IEEE Transactions on Automation Science and Engineering

2018 Publications

Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis
Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
2018 · IISE Transactions, 50(10), 878-891
Multiple profiles sensor-based monitoring and anomaly detection
Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
2018 · Journal of Quality Technology
Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping
Rui Wang, Nan Chen, Chen Zhang
2018 · Conference Proceedings
Statistical analysis of simulation output from parallel computing
Chen Zhang, Nan Chen
2018 · ACM Transactions on Modeling and Computer Simulation (TOMACS)

2017 Publications

State space modeling of autocorrelated multivariate Poisson counts
Chen Zhang, Nan Chen, Zhiguo Li
2017 · IISE Transactions
Modeling tunnel profile in the presence of coordinate errors: A Gaussian process-based approach
Chen Zhang, Yong Lei, Linmiao Zhang, Nan Chen
2017 · IISE Transactions
Spectral network approach for multi-channel profile data analysis with applications in advanced manufacturing
Chen Zhang, Linmiao Zhang, Nan Chen
2017 · Conference Proceedings

2016 Publications

Robust multivariate control chart based on goodness-of-fit test
Chen Zhang, Nan Chen, Changliang Zou
2016 · Journal of Quality Technology

Publication Impact

Research metrics and achievements

81

Total Publications

13

IEEE Transactions

17

H-Index

867

Total Citations

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