Publications
Our research contributions toward superintelligence (SI), machine learning, and industrial systems
Research Publications
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2026 Publications
A Computer-Aided System for Enhanced M-protein Diagnosis and Monitoring via Multimodal Learning
2026 · Nature Communications — accepted
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
2026 · NeurIPS 2026 — accepted
Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
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
2026 · NeurIPS 2026 — accepted
Quickest Causal Change Point Detection by Adaptive Intervention
2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence — accepted
SCALE: Style-Causal Disentanglement with Adaptive Lifelong Expert for Online Latent-domain Anomaly Detection
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
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
2026 · Accepted by International Conference on Machine Learning (ICML), 2026
Spatial In-Profile Monitoring via Latent Tensor Gaussian Process with Mixed Effects
2026 · Technometrics, 68(3), 639-652
Function-on-Function Gaussian Process with Application in Robust Parameter Design
2026 · INFORMS Journal on Computing
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
2026 · Accepted by ICLR 2026
Addressing Glaucoma Structure-Function Relationship: A Multi-Task Learning Framework With Multi-Modal and Unpaired Data
2026 · IEEE Transactions on Medical Imaging, 45(2), 448-462
Partially‐Observable Sequential Change‐Point Detection for Autocorrelated Data via Adaptive Upper Confidence Region
2026 · Naval Research Logistics (NRL), 73(7), 1084-1099
Functional-Edged Network Modeling
2026 · Technometrics — accepted
Adaptive Change Detection in Partially Observable Dynamic Networks
2026 · IEEE Transactions on Knowledge and Data Engineering, 38(3), 1498-1511
Function-on-Function Bayesian Optimization
2026 · AAAI 2026, 40(26), 21994–22002
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting
2026 · AI for Time Series Workshop at AAAI 2026
2025 Publications
Nonlinear Causal Discovery via Dynamic Latent Variables
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
2025 · Advanced Engineering Informatics
Tensor State Space-based Dynamic Multilayer Network Modeling
2025 · arXiv preprint arXiv:2506.02413
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
2025 · arXiv preprint arXiv:2505.00415
A Deep Reinforcement Learning Method Solving Bilevel Optimization for Product Design Considering Remanufacturing
2025 · IEEE Transactions on Engineering Management
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
2025 · INFORMS Journal on Data Science, 4(1), 33-50
AXIS: Explainable Time Series Anomaly Detection with Large Language Models
2025 · arXiv preprint arXiv:2509.24378
Bilevel joint optimization for product design changes with a resilient supply chain based on deep reinforcement learning
2025 · International Journal of Production Economics
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
2025 · NeurIPS 2025, Datasets and Benchmarks Track
Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network
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
2025 · IISE Transactions, 57(11), 1263-1276
Federated multi-task Bayesian network learning in the presence of overlapping and distinct variables
2025 · IISE Transactions, 57(7), 773-787
MT-RAM: Multi Task-Recurrent Attention Model for partially observable image anomaly classification and localization
2025 · IISE Transactions, 57(12), 1391-1406
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
2025 · NeurIPS 2025
Big Data
2025 · International Encyclopedia of Statistical Science, 285-306 (encyclopedia chapter)
Industrial Big Data
2025 · International Encyclopedia of Statistical Science, 1187-1190 (encyclopedia chapter)
2024 Publications
Multi-agent causal discovery using large language models
2024 · arXiv preprint arXiv:2407.15073
Coupled Epidemic-Information Propagation With Stranding Mechanism on Multiplex Metapopulation Networks
2024 · IEEE Transactions on Computational Social Systems
MultiFun-DAG: Multivariate Functional Directed Acyclic Graph
2024 · arXiv preprint arXiv:2404.13836
Thompson Sampling-Based Partially Observable Online Change Detection for Exponential Families
2024 · INFORMS Journal on Data Science
Online directed-structural change-point detection: A segment-wise time-varying dynamic Bayesian network approach
2024 · IISE Transactions
A comprehensive survey of recent research on profile data analysis
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
2024 · Computers & Industrial Engineering
Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach
2024 · IEEE Transactions on Knowledge and Data Engineering
Advanced Data Analytical Techniques for Profile Monitoring
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
2024 · International Journal of Intelligent Systems
COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed Functional Data
2024 · arXiv:2404.03329
2023 Publications
Dynamic causal graph convolutional network for traffic prediction
2023 · Conference Proceedings
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
2023 · Technometrics
MM-DAG: Multi-task DAG Learning for Multi-modal Data--with Application for Traffic Congestion Analysis
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
2023 · Data Mining and Knowledge Discovery
In-profile monitoring for cluster-correlated data in advanced manufacturing system
2023 · Journal of Quality Technology
A hidden markov model for condition monitoring of time series data in complex network systems
2023 · IEEE Transactions on Reliability
A Markov-switching hidden heterogeneous network autoregressive model for multivariate time series data with multimodality
2023 · IISE Transactions
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
2023 · Conference Proceedings
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
2023 · arXiv preprint arXiv:2310.20224
A Cluster-Oriented Bayesian Network Approach for Mixed-Type Event Prediction With Application in Order Logistics
2023 · IEEE Transactions on Industrial Informatics, 19(10), 10069-10078
Deep Cascade-Learning Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis
2023 · IEEE Transactions on Medical Imaging
2022 Publications
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning.
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
2022 · Data Mining and Knowledge Discovery
Modeling of discharge voltage for lithium-ion batteries through orthogonal experiments at subzero environment
2022 · Journal of Energy Storage
Segment-wise time-varying dynamic Bayesian network with graph regularization
2022 · ACM Transactions on Knowledge Discovery from Data (TKDD)
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model
2022 · Technometrics
Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing
2022 · Journal of Manufacturing Systems
A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment
2022 · IEEE Transactions on Automation Science and Engineering, 19(1), 441-456
2021 Publications
Dynamic multivariate functional data modeling via sparse subspace learning
2021 · Technometrics
Online monitoring of big data streams: A rank-based sampling algorithm by data augmentation
2021 · Journal of Quality Technology
Transformer Based Spatial-Temporal Fusion Network for Metro Passenger Flow Forecasting
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
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
2020 · Proceedings of the AAAI Conference on Artificial Intelligence
Long-short term spatiotemporal tensor prediction for passenger flow profile
2020 · IEEE Robotics and Automation Letters
Spatial rank-based high-dimensional monitoring through random projection
2020 · Journal of Quality Technology
Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data
2020 · arXiv preprint arXiv:2009.02880
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis
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
2019 · Proceedings of the AAAI Conference on Artificial Intelligence
A sequential bayesian partitioning approach for online steady-state detection of multivariate systems
2019 · IEEE Transactions on Automation Science and Engineering
2018 Publications
Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis
2018 · IISE Transactions, 50(10), 878-891
Multiple profiles sensor-based monitoring and anomaly detection
2018 · Journal of Quality Technology
Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping
2018 · Conference Proceedings
Statistical analysis of simulation output from parallel computing
2018 · ACM Transactions on Modeling and Computer Simulation (TOMACS)
2017 Publications
State space modeling of autocorrelated multivariate Poisson counts
2017 · IISE Transactions
Modeling tunnel profile in the presence of coordinate errors: A Gaussian process-based approach
2017 · IISE Transactions
Spectral network approach for multi-channel profile data analysis with applications in advanced manufacturing
2017 · Conference Proceedings
2016 Publications
Robust multivariate control chart based on goodness-of-fit test
2016 · Journal of Quality Technology
Publication Impact
Research metrics and achievements
81
Total Publications
13
IEEE Transactions
17
H-Index
867
Total Citations
Key Publication Venues
Selected venues represented in our publication list, including accepted papers. Choose a venue to explore its papers.
IEEE Journals
- Pattern Analysis and Machine Intelligence (TPAMI) Accepted
- Medical Imaging (TMI)
- Knowledge and Data Engineering (TKDE)
- Automation Science and Engineering (TASE)
- Engineering Management (TEM)
- Computational Social Systems (TCSS)
- Industrial Informatics (TII)
- Reliability (TR)
- Robotics and Automation Letters (RA-L)