May 2026, our paper Path-Coupled Bellman Flows for Distributional Reinforcement Learning was accepted to International Conference on Machine Learning (ICML) 2026 as a regular presentation (authors: Boyang Xu, Qing Zou, Siqin Yang, Hao Yan). Flow matching with path coupling for distributional RL; improves stability on offline benchmarks including OGBench and D4RL.
Feb 2026, our paper D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation (with Shengzhe Chen) was accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) as a Highlight (approximately top 3% of accepted papers). Project page · arXiv · Code · Virtual poster.
Apr 2026, Jiayu Huang was selected as Outstanding Graduating IE PhD Student for the 2025–2026 academic year (Industrial Engineering, Arizona State University).
Jul 2025, Jiayu Huang defended her dissertation Knowledge-Infused Bayesian Learning for High-Dimensional Spatiotemporal Data Analytics. Her IEEE CASE 2025 paper Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems received the IEEE CASE Best Conference Paper Award (winner among ~430 submissions).
2025, ICQSR Best Paper Competition Finalist for Exact Multistage Bayesian Optimization (with Siqin Yang, Kangan Chen, Andi Wang).
Aug 2025, IISE QCRE Best Track Paper Competition Finalist for Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering.
Aug 2024, promoted to Associate Professor, School of Computing and Augmented Intelligence, Arizona State University.
Jul 2024, Jiuyun Hu graduated (now Leaptran Inc.); thesis on Tucker decomposition with graph structure and commonality/peculiarity. Earlier honors include INFORMS QSR Best Refereed Paper finalist (2023) and IISE QCRE Best Student Paper finalist (2022).
Sep 2025–Aug 2029, LEAP-HI: Sustainable Hydrogen Transport Pipeline Network with Learning-enabled Autonomous Risk Assessment Systems (LARAS) funded (Co-PI; total \$2M; my effort 20%). Team: Wenlong Zhang, Yiming Deng, Yongming Liu, Hanna Breetz.
Sep 2023–Aug 2026, NSF Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment funded (PI; total \$550K; my effort 30%). Team: Mostafa Reisi, Mohammad Illbeigi.
Oct 2023–Sep 2026, Bayesian Optimization for Automatic Reactor Design Optimization funded (PI; total \$1M; my effort 40%). Team: Andi Wang.
2025, began serving as Associate Editor, Technometrics; serving as Chair, INFORMS Quality, Statistics and Reliability (QSR) Section (Chair Elect 2024; Council 2022–2024).
May 2023, our paper “Interpretation and visualization of distance covariance with additive decomposition of correlations formula” has been selected as the best paper award in IISE DAIS Track. Congratulations to my collaborator Andi Wang.
Feb 2023, our short course “AI for Air Traffic Safety Enhancement” is open in AIAA. Congratulations to the all NASA ULI Members.
Sep 2022, our Project “Novel threat detection methodology to detect HIV outbreaks in Washington” has received funding from National Institutes of Health.
Sep 2022, our Project “AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT” has received funding from National Institutes of Health.
Jul 2022, my Ph.D. student Xinyu Zhao has successfully defended his dissertation “Hierarchical Sequential Event Prediction and Translation from Aviation Accident Report Data”, He is currently working in Zillow. Congratulations to Xinyu.
May 2022, I attended IISE Annual Meeting and received the “IISE DATA ANALYTICS AND INFORMATION SYSTEMS (DAIS) DIVISION TEACHING AWARD”, 2022. See the announcement in News.
Sep 2021, our project received one grant from Department of Transportation with proposal title “Knowledge-guided Automation for Integrity Management of Aging Pipelines (KAI-MAP) for Hydrogen Transport”.
Sep 2021, our paper “Low-rank and Sparse Tensor Decomposition with RidgeRegularized Subspace Clustering for Metro Passenger Flow Modeling” has been selected as the best paper finalist in the theoretical track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.
Sep 2021, our paper “Tensor Topic Models with Graphs and Their Applications on Individualized Travel Patterns” has been selected as the best paper finalist in the applied track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.
Aug 2021, my Ph.D. student Nuretin Dorukhan Sergin has successfully defend his dissertation and congratulation to Dorukhan.
July 2021, our project “Photovoltaic Plant Predictive Maintenance Optimization under Uncertainties Using Probabilistic Information Fusion” is funded by Solar Energy Technologies Office | Department of Energy to artificial intelligence techniques in solar industries, Amount: 750K + 380K Cost share. Role: PI, See Award Annoucement and News.
Nov 2020, INFORMS QSR Best Paper Competition, 2020 for our paper “Adaptive Partially-Observed Sequential Change Point Detection with Multiple Failure Modes”. See the Awards - Quality, Statistics & Reliability.
Nov 2020, INFORMS Data Mining Best Paper Competition Finalist, 2020 for our paper “Thompson Sampling based Partially Observable Online Change Detection via Bayesian Spike-Slab Composite Decomposition”, See Finalists Announcement.
Aug 2020, IEEE CASE Best Conference Paper Award 2020 for our paper “Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile”. See the IEEE CASE Best Conference Paper Award Annoucement.
Feb 2020, Co-PI for NASA ULI “Information Fusion for Real-Time National Air Transportation System Prognostics under Uncertainty”; air-traffic risk quantification using sequence-of-event data. See NASA ULI project page.
Dec 2019, Our paper “Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis“ has been selected as the The Best Paper in the 2019 IISE Transactions Focus Issue on Quality and Reliability Engineering.
Nov 2019, Our paper “Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction” has been accepted by, Thirty-Fourth AAAI Conference on Artificial Intelligence. Congratulation to Ziyue and Dorukhan
Jun 2019, Thank you for P&G for providing funding for us.
May 2019, Our paper “Multiple Sensor-Based Monitoring and Anomaly Detection” has won the ASQ Brumbaugh Award, which gives to “the paper making the largest single contribution to the development of industrial application of quality control.” The chosen paper is selected from among publications in the seven journals published by ASQ in a given year. The winner announcement is given in 2019 Medal and Award recipients
Sep 2018, Our projects “ATD: Collaborative Research: Adaptive and Rapid Spatial-Temporal Threat Detection over Networks” has funded by NSF. Role: PI, provide spatio-temporal learning algorithm. Link
Apr 2018, our paper “Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper” won IEEE Transactions on Automation Science and Engineering Best Paper Award , with Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, and Jianjun Shi, Congratulations to Xiaowei Yue
Oct 2017, our paper “Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning” won the INFORMS Data Mining Best Paper Competition, with Chen Zhang and Jianjun Shi, Congratulations to Chen Zhang