Schedule - ICQSR 2026

Schedule

Program Rundown

Registration Open until 15:00

Welcome Lunch

SC: Workshop - Data Challenge

Coffee Break (Lasting to 16:15)

Parallel Sessions
SD01 & SD02 & SD03

Data Science Lab Tour

VIP Dinner
(by invitation only)

Registration Open until 15:00

Opening ceremony, remarks, and group photo

MA: Plenary Speech I
by Prof. Jianjun Shi

Coffee Break

MB: Plenary Speech II
by Prof. Kwang-jae Kim

Lunch

MC: ICQSR Best Paper Competition

Short Break

MD: Leaders Forum

Coffee Break (Lasting to 17:00)

Parallel Sessions
ME01 & ME02 & ME03 & ME04

Group trip by bus to the banquet location

ICQSR 2026 Banquet & Ceremony

Registration Open until 15:00

TA: Distinguished Lecture
by Prof. Lixin Tang

Coffee Break

TB: Plenary Speech I
by Prof. Zhaoyang Dong

Future Faculty Colloquium

Lunch

Parallel Sessions
TC01 & TC02 & TC03

Break

Parallel Sessions
TD01 & TD02

Coffee Break (Lasting to 17:00)

Parallel Sessions
TE01 & TE02 & TE03 & TE04

Walking to On-campus Dinner Location

Dinner & Networking Reception

Registration Open until 12:00

Parallel Sessions
WA01 & WA02 & WA03 & WA04

Coffee Break

WB: Plenary Speech I
by Dr. Lawrence Cheung

Lunch

Parallel Sessions
WC01 & WC02 & WC03 & WC04

Parallel Sessions
WD01 & WD02 & WD03

Farewell Coffee Break (Lasting to 17:00)

Parallel Sessions
WE01 & WE02 & WE03

Th-A: Embodied AI Lab-Tour

Details

PRE-CONFERENCE DAY, SUNDAY, JULY 05, 2026 +

10:00 a – 03:00 p	Registration Open	Area Outside AE-040
12:00 p – 01:00 p	Welcome Lunch	YEUNG Purple Zone Area
Session SC	Workshop: Data Challenge Chair: Yanting Li, Shanghai Jiaotong University	YEUNG P4703
01:00 p – 03:30 p	Roadshow of Data Challenge Finalists
03:30 p – 04:15 p	Coffee Break	YEUNG Purple Zone Area
Session SD01	Sequential Design for Bayesian Calibration and Robust Optimization of Expensive Simulators Chair: Matthias Tan, City University of Hong Kong	YEUNG B5207
03:45 p – 05:15 p	Constrained Bayesian Optimization of Expected Losses in Robust Parameter Design Based on Time-Consuming Simulators Yidong Wang, City University of Hong Kong A Gaussian Process Emulator-Based Approach for Bayesian Calibration of a Functional Input Zhaohui Li, Chinese Academy of Sciences Computer model calibration via Bayesian optimization based on a bi-fidelity Gaussian process model for transformed sum of squared errors Matthias Tan, City University of Hong Kong Language model-enhanced label-free continual multimodal Fault diagnosis with time-series and textual data Xingchen Liu, The Hong Kong Polytechnic University
Session SD02	AI for Quality Inspection Chair: Juan Du and Dongheng Chen, The Hong Kong University of Science and Technology (Guangzhou)	YEUNG B5208
03:45 p – 05:15 p	Process Monitoring and Quality Control in Additive Manufacturing of Self-Adaptive Point Cloud Modeled Periodic Surface Lattices Yanglong Lu, The Hong Kong University of Science and Technology Perception–Diagnosis–Optimization: A Closed-loop Paradigm for Quality Control in the AI Era Juan Du, The Hong Kong University of Science and Technology (Guangzhou) Auto-calibrated real-time locating service-based production logistics synchronisation system Zhiheng Zhao, The Hong Kong Polytechnic University Sampling Complexity of TD and PPO in RKHS Liang Ding, Fudan University
Session SD03	Frontiers in new energy system operation and maintenance: machine learning and data mining Chair: Yao Cheng, The University of Hong Kong; Yian Wei, City University of Hong Kong (Dongguan)	YEUNG B5209
03:45 p – 05:15 p	Adaptive Maintenance and Mission Abort Control for Safety-Critical Systems under Bi-Directional Degradation Min Zhou, Tianjin University Making an optimal inspection-free maintenance decision for a coherent system subject to hidden malfunctions Yian Wei, City University of Hong Kong (Dongguan) Uncertainty Quantification for Reliable AI with Applications to Pathology-based Cancer Diagnosis Xiaoge Zhang, The Hong Kong Polytechnic University
05:15 p – 06:00 p	College of Computing Lab Tour	Meeting at Registration Booth

FIRST DAY, MONDAY, JULY 06, 2026 +

08:00 a – 03:00 p	Registration Open	Area Outside AE-040
09:00 a - 09:20 a	Opening Ceremony	Main Site: AE-040 Satellite Site: YEUNG LT-7
09:00 a – 09:15 a	Welcome address Jianping Wang, ICQSR 2026 Conference Co-chair, Dean of College of Computing, City University of Hong Kong Jianjun Shi, ICQSR 2026 Conference Co-Chair, The Carolyn J. Stewart Chair and Professor, Georgia Institute of Technology, USA
09:15 a – 09:20 a	Opening Remarks Lixin Tang, ICQSR 2026 Honorary Chair, Vice-president, Northeastern University, Academician of Chinese Academy of Engineering
09:20 a – 09:30 a	Group Photo	AE-040
Session MA	Plenary Session Chair: Jianping Wang, City University of Hong Kong	Main Site: AE-040 Satellite Site: YEUNG LT-7
09:30 a – 10:30 a	AI Enabled Quality Improvement in Smart Manufacturing Jianjun Shi, The Carolyn J. Stewart Chair and Professor, Georgia Institute of Technology, USA
10:30 a – 11:00 a	Coffee Break
Session MB	Plenary Session Chair: Sukjoo Bae, Hanyang University	Main Site: AE-040 Satellite Site: YEUNG LT-7
11:00 a – 12:00 p	From Manufacturing to Valufacturing: Implications for QSR Kwang-Jae Kim, Professor, Pohang University of Science and Technology, Korea
12:00 p – 02:00 p	Lunch	YEUNG 5F Canteen Reserved Area
Session MC	ICQSR Best Paper Competition Chair: Heeyoung Kim, Korea Advanced Institute of Science and Technology	AE-040
01:00 p – 02:30 p	ShapeFlow: Stochastic Neural Dynamics for Multi-Future 3D Prediction Presenter: Nick Nachtmann, University of Wisconsin-Madison Sparse Bandit for Quickest Change Detection in Partially Observed Functional Data Presenter: Peiyao Liu, National University of Singapore Feature-Space-Regularized Personalized Federated Learning via Prototypical Distribution Presenter: Rui Zhou, Shanghai Jiaotong University ResCloud: Reference-based Modeling and Predictive Reconstruction of Temporal 3D Point Cloud Profiles Presenter: Yichen Ma, Georgia Institute of Technology
02:30 p – 02:45 p	Short Break
Session MD	Leaders Forum Moderators: Sukjoo Bae, Hanyang University; Jian Liu, University of Arizona; Zijun Zhang, City University of Hong Kong	AE-040
02:45 p – 04:15 p	Zhen He, Tianjin University Kwang-Jae Kim, Pohang University of Science and Technology Lixin Tang, Northeastern University Fugee Tsung, Hong Kong University of Science and Technology Jianjun Shi, Georgia Institute of Technology Jianping Wang, City University of Hong Kong
04:15 p – 05:00 p	Coffee Break	YEUNG Purple Zone Area
Session ME01	INFORMS Journal on Data Science Featured Paper Session Chair: Yu Ding, Georgia Institute of Technology; Zijun Zhang, City University of Hong Kong	YEUNG P4302
04:30 p – 06:00 p	Detecting Multiple Changepoints by Exploiting Their Spatiotemporal Correlations: A Bayesian Hierarchical Approach Hai Jiang, Tsinghua University Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior Jianguo Wu, Peking University Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling Chen Zhang, Tsinghua University
Session ME02	ENBIS Invited Session Chair: Christian Capezza, University of Naples Federico II; Stefano Raimondo, Politecnico di Milano	YEUNG P4701
04:30 p – 06:00 p	Robust In-Situ Geometric Inspection in Laser Powder Bed Fusion via Graph-Augmented Segmentation Stefano Raimondo, Politecnico di Milano Online monitoring of dynamic low-rank image sequence via high-dimensional matrix-variate latent factor model Suying Zhang, Nanjing University of Science and Technology A Functional Graphical Model Approach to Covariance Monitoring in Multichannel Profiles Christian Capezza, University of Naples Federico II Real-Time Process Monitoring for Ultrasonic Metal Welding Across Dynamic Multi-Material Conditions Yuquan Meng, City University of Hong Kong
Session ME03	Complex System Design and Optimization Chair: Jianjun Wang, Nanjing University of Science and Technology; Chen Zhang, Tsinghua University	YEUNG P4703
04:30 p – 06:00 p	Adaptive Sparse Bandits for Quickest Change Detection in Partially Observed Functional Data Peiyao Liu, Nanjing University of Science and Technology Functional Calibration of the Intelligent Driver Model via Latent Gaussian Process Mei Han, Nanjing University of Aeronautics and Astronautics An efficient adaptive multi-fidelity ensemble of surrogates method for structural reliability analysis Yan Ma, Nanjing University of Finance and Economics
Session ME04	Statistical Learning Theory and Applications Chair: Keqin Liu, Xi'an Jiaotong-Liverpool University	YEUNG P4704
04:30 p – 06:00 p	Attack-Resistant Uniform Fairness for Linear and Smooth Contextual Bandits Wenjia Wang, National University of Singapore An RKHS Surrogate Framework for Policy Optimization from Trajectory Preferences Liang Ding, Fudan University Systematic Optimization and Applications of RNA Foundation Models Xiaohua Xu, University of Science and Technology of China Harnessing Little-to-No Data for Manufacturing Quality Control: From Zero-Shot Learning to Federated Domain Generalization Chenhui Shao, University of Michigan
06:00 p – 07:00 p	Group Trip by Bus to the Banquet Location
07:00 p – 10:00 p	ICQSR 2026 Banquet & Ceremony	Harbour Cruise - Bauhinia
10:30 p	Bus Transportation Back to CityUHK Lodge

SECOND DAY, TUESDAY, JULY 07, 2026 +

08:00 a – 03:00 p	Registration Open	Area Outside LI 3505
Session TA	Distinguished Lecture Chair: Zijun Zhang, City University of Hong Kong	LI 3505
09:30 a – 10:30 a	Data Analytics and Optimization for Manufacture-Circulation Industrial System Lixin Tang, Vice-president, Northeastern University, Academician of Chinese Academy of Engineering
10:30 a – 11:00 a	Coffee Break	Area Outside LI 3505
Session TB	Plenary Session Chair: Xi Zhang, Peking University	LI 3505
11:00 a – 12:00 p	AI and Data Driven Smart Energy Systems – Management, Challenges and Opportunities Zhaoyang Dong, Chair Professor and Head of Department of Electrical Engineering, City University of Hong Kong
12:00 p – 02:00 p	Lunch	LI 3F Canteen Reserved Area
12:00 p – 02:30 p	Future Faculty Colloquium Chair: Yong Chen, University of Iowa; Jiaman Wu, City University of Hong Kong	LI 3505
	Welcome and Introductions Special Remarks by Prof. Jianjun Shi, Georgia Institute of Technology Expert Panel: Success and Challenges in Academia
Session TC01	Technometrics Invited Session Chair: Kamran Paynabar, Georgia Institute of Technology	LI 2312
01:00 p – 02:30 p	GEMSS-Driven Subsampling for Information Extraction and Redundancy Elimination Ming-Chung Chang, Institute of Statistical Science, Academia Sinica Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach Yifan Li, Nanjing Audit University Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models Xinwei Deng, Virginia Tech
Session TC02	Mechanism-informed Data Analytics in Smart Manufacturing Chair: Xubo Yue, Northeastern University; Naichen Shi, Northwestern University	LI 2310
01:00 p – 02:30 p	Language-Based Maintenance under a POMDP Framework Yongtong Li, Northwestern University Multioutput Extreme Spatial Model for Complex Aircraft Production Systems Xiaowei Yue, Tsinghua University Nonlinear Causal Discovery via Dynamic Latent Variables Xing Yang, Shenzhen BIT-MSU University Bayesian Robust MDP with Multiple Priors for Uncertain Transition Probabilities Yue Shi, Wuhan University
Session TC03	Date-driven quality improvement for complex systems Chair: Yingdong He, Tianjin University	LI 2308
01:00 p – 02:30 p	Nonparametric Change-point Detection for Unstructured 3D Point Cloud Data with An Application in Additive Manufacturing Zhiqiong Wang, Tianjin University of Technology Joint Quality Optimization for Imperfect Manufacturing Systems Yingdong He, Tianjin University A Novel Criterion and Corresponding Design for Quantitative Variable Screening and Its Application in Mixture Proportion Variable Screening Siyuan Frank Yang, Shanghai Excellence Quality Technology Consulting Limited AI Vulnerabilities and Uncertainties Bowei Xi, Purdue University Utility-Aware Multi-Modal Contrastive Learning for Product Image Generation Yiling Xie, City University of Hong Kong
02:30 p – 02:45 p	Short Break
Session TD01	IISE Transactions Invited Session Chair: Xiaowei Yue, Tsinghua University	LI 2312
02:45 p – 04:15 p	Bi-Channel Dynamic Topic Model for Quality Monitoring Considering Initial and Additional Online Customer Reviews Yingdong He, Tianjin University Impact of Sharing Imprecise Information on Fixed-Bin Selective Assembly W. Benton, Ohio State University An Integrated Cyber-Physical Framework for Worst-Case Attacks in Industrial Control Systems Dan Li, University of Washington Optimal Condition-Based Maintenance Policy Considering Nested Conditional Value-at-Risk and Operational Availability: A Case Study on Semiconductor Manufacturing Equipment Donghyun An, Seoul National University
Session TD02	Advances in Modeling, Optimization, and Control of Complex Systems: Methodologies and Applications Chair: Shancong Mou, University of Minnesota	LI 2310
02:45 p – 04:15 p	Uncertainty-Aware Hypergradient Descent for Bilevel Optimization Shancong Mou, University of Minnesota First-order methods for bilevel optimization Sanyou Mei, The Hong Kong University of Science and Technology On Sequential Convex Approximations of Wasserstein Distributionally Robust Chance Constrained Programs Nan Jiang, The Hong Kong University of Science and Technology AI-enabled next-generation high-performance in-situ monitoring and defect diagnosis in LPBF Rongxuan Wang, Auburn University
04:15 p – 05:00 p	Coffee Break	Area Outside LI 3505
Session TE01	Generative, Predictive, and Prescriptive Maintenance Framework Chair: Misuk Kim, Hanyang University; Suk-Joo Bae, Hanyang University	LI 2312
04:30 p – 06:00 p	Physics-Informed Probabilistic Forecasting for PEMFC State-of-Health under Dynamic Driving Loads Yosep Na, Hanyang University Enhancing Large Language Models for Time-Series Understanding via Query-Adaptive Multi-Granularity Routing Jaeyoung Lee, Hanyang University Deep Collaborative Representation Learning for Multi-class Anomaly Detection Jungi Lee, Seoul National University Bayesian Optimal Designs for One-Shot Devices with Resource Constraints Shanya Baghel, Hanyang University
Session TE02	AI-enabled quality assurance in additive manufacturing Chair: Haekwon Adrian Matias Chung Baek, Ulsan National Institute of Science and Technology; Jianjun Shi, Georgia Institute of Technology	LI 2310
04:30 p – 06:00 p	ResCloud: Predictive Modeling of Temporal 3D Point Cloud Profiles for In-Process Qualification in Additive Manufacturing Yichen Ma, Georgia Institute of Technology Mitigating Toolpath-Induced Residual Stress in Additive Manufacturing Using Reinforcement Learning Taekyeong Kim, Ulsan National Institute of Science and Technology Learning Thermal History Representations for Quality Prediction in Metal Additive Manufacturing Hojin Cho, Ulsan National Institute of Science and Technology Efficient High Fidelity Modeling for AI Based Quality Prediction in DED Processes Jeongho Yang, Nanyang Technological University
Session TE03	Statistical Contribution to Reliability and Computer Experiments Chair: Zhaohui Li, Chinese Academy of Sciences	LI 2405
04:30 p – 06:00 p	Optimizing Service Operations via LLM-Powered Multi-Agent Simulation Yanyuan Wang, Hong Kong University of Science and Technology The BdryMatérn GP: a new Gaussian process model for incorporating boundary information Liang Ding, Fudan University A Novel Transform-Resampled Double Bootstrap Percentile Method for System Reliability Assessment Junpeng Gong, University of Chinese Academy of Sciences High dimensional simulation optimization on sparse grid Xuhan Han, The University of Hong Kong
Session TE04 Flash Session	Methodological Advancements in System Reliability Analysis & Maintenance Chair: Chih-Hao Yang, Ming Chuan University	LI 2308
04:30 p – 06:00 p	Optimizing TNFD-driven Twin Transition Decision Model in AI Semiconductors: A Hybrid MCDM and Goal Programming Framework Chih-Hao Yang, Ming Chuan University Performance Prediction and Reliability Analysis of Thermal Interface Materials in Electronic Packaging using Gaussian Process Regression Xiaolin Guo, Northeastern University Comparing Relevation Allocations of Series and Parallel Systems with Heterogeneous Components under Copula Dependence Jiandong Zhang, Northwest Normal University Dual-domain probabilistic fusion for UGW-based wall-thickness estimation in underwater corrosion monitoring with uncertainty quantification Peng Li, KU Leuven Condition-Based Maintenance Policy for Two-Component Systems with Dependent Degradations Under Dynamic Environments Zhangzhuo Fu, Tianjin University Representation Disentanglement Guided by Dynamics-Based Simulation for Fault Diagnosis under Time-Varying Operating Conditions Yuhui Xu, Shanghai Jiaotong University IAAA: An Industrial Agentic AI Architecture for Evidence-Gated Actions in Software-Based Control Systems Yin Li, The Hong Kong University of Science and Technology (Guangzhou) Physics-Guided Multi-Evidence Image Learning for Explainable Degradation State Prediction of Rotating Machinery Yingjun Shen, The Chinese University of Hongkong, Shenzhen Physics-Informed Neural Network for Operating State Assessment and Failure Boundary Identification in Sliding Bearings Zhangli Hou, Shanghai Jiong Tong University
06:00 p – 06:30 p	Walking to the Dinner Location
06:30 p	Dinner & Networking Reception	8F Chinese Restaurant, CityUHK

THIRD DAY, WEDNESDAY, JULY 08, 2026 +

08:00 a – 12:00 p	Registration Open	Area Outside LI 3505
Session WA01	Anomaly Detection and Online Monitoring in Complex Data Systems Chair: Jie Guo, Nanjing University of Aeronautics and Astronautics; Chen Zhang, Tsinghua University	LI 2306
09:00 a – 10:30 a	A Global Adversarial and Local Contrastive Transfer Learning Approach for Remaining Useful Life Prediction Rui Wang, Harbin Institute of Technology (Shenzhen) Research on Aircraft Fault Diagnosis Driven by Combined Data and Knowledge Jun Zhu, Northwestern Polytechnical University Adaptive online monitoring for partially observable networked functional data based on Deep Q-Learning Wanshan Li, Jinan University Adaptive Interval Sensing for Partially Observed Functional Monitoring with Change-Detection Guarantees Jie Guo, Nanjing University of Aeronautics and Astronautics
Session WA02 Flash Session	Statistical Learning and Optimization for Real-World Systems Chair: Xin Liu, Beijing Institute of Technology	LI 2308
09:00 a – 10:30 a	A novel spatiotemporal feature fusion-based GAN framework for SCADA data imputation of wind turbines Xin Liu, Beijing Institute of Technology Advances at the Interface of Statistics, Discrete Optimization, and Interpretable Machine Learning Brian Liu, Massachusetts Institute of Technology Maximum matchings in graphs for allocating kidney paired donation Michal Mankowski, New York University Dynamic Conformal Prediction Intervals via Generalized Alpha-Investing for Online Monitoring Yue Peng, New York University ROBUST+: A Novel Framework for Breakdown Point Improvement of Robust Regression Algorithms Mingyuan Liu, Chinese Academy of Sciences Collaborative and Federated Condition-Based Maintenance Rongbo Zhu, University of Michigan, Ann Arbor Enhancing Estimation Reliability in High-Dimensional Matrix Factor Models through Structured Error Covariance Modeling Zhuolan Liu, University of Macau Physics-Informed Residual Learning for U.S. Monthly Stock Return Prediction Using Robust Factor Models Zhuolan Liu, University of Macau Development of a Sympathetic Inhibition Index From Multimodal Monitoring Data and Its Association With Mortality in Critical Ill Patients with Sedation Liuyin Chen, Dalian University of Technology Automated Rail Surface Defect Identification Based on A Semi-Supervised Domain Adaptation Method Li Zhuang, Southeast University
Session WA03 Flash Session	Emerging Methods and Applications in Quality Analytics Chair: Hieu Pham, University of Alabama in Huntsville	LI 2310
09:00 a – 10:30 a	Systems Informatics for Grid Reliability: A Predictive-Prescriptive Framework for Utility-Scale BESS Operations and Maintenance Decision-Making Hieu Pham, University of Alabama in Huntsville A systematic comparison of the predictive performance of deep learning, gaussian process, and response surface methodology across different types of experimental design Yongtao Cao, Indiana University of Pennsylvania Simple Yet Strong: A Linear Anchor with Inference-Time Physical Projection for Short-Term Photovoltaic Power Forecasting Luoxiao Yang, Xi'an University of Technology Heating Curve Optimization for Walking Beam Furnace Based on Physics-Guided Surrogate Modeling Pengdong Han, Northeastern University Variational Autoencoder-based Anomaly Detection for Semiconductor Quality Control and Yield-Risk Monitoring Yihao Ang, National University of Singapore Agentic AI for Digital-Twin Quality Control: Autonomous Anomaly Pipeline Redesign for Manufacturing Industry Yihao Ang, National University of Singapore Mechanism-guided multiobjective evolutionary learning for interpretable multivariate prediction in blast furnace ironmaking Hao Yang, Northeastern University An Inverse Gaussian Process Model Assisted Evolutionary Algorithm for Hot Rolling Product Quality Operation Optimization Yuhang Wang, Northeastern University RP-THP: Learning recall propagation from customer complaints with Transformer Hawkes processes Ling Yan, Nanjing University of Aeronautics and Astronautics LC-DQA: Learning Curve-Driven Dynamic Quality Assessment for Smart Connected Products Qian Guo, Tianjin University Point-Cloud-Informed Surrogate Model-Assisted Reinforcement Learning for Thin-Walled Aircraft Structure Assembly Pose Adjustment Considering Gravity-Induced Deformation Haorui Sun, Zhejiang University Vehicle relocation and staff rebalance problem in one-way free-floating car-sharing system: A novel multi-iteration probabilistic greedy algorithm Tian Tian, Dongbei University of Finance and Economics
Session WA04	Design Intelligence: Recent Advancement in Design and Uncertainty Quantification Chair: Xinwei Deng, Virginia Tech; Qiao Liang, Southwestern University of Finance and Economics	LI 2312
09:00 a – 10:30 a	Optimal Semi-Supervised Subsampling for Softmax Regression Frederick Kin Hing Phoa, Institute of Statistical Science, Academia Sinica Bayesian Variable Selection using Joint Credible Region for Universal Kriging in Computer Experiments Fan Zhang, Boise State University Multi-Objective Bayesian Optimization of CPU Cooling Design with Mixed Variables Using Category Tree Gaussian Process Wei-Ann Lin, National Central University Categorical-Grouping Gaussian Process Emulators for Computer Experiments with Mixed Inputs Qiao Liang, Southwestern University of Finance and Economics
10:30 a – 11:00 a	Coffee Break	Area Outside LI 3505
Session WB	Plenary Session Chair: Clint Ho, City University of Hong Kong	LI 3505
11:00 a – 12:00 p	AI with HKPC, You can Lawrence Cheung, Chief Technology Officer, Hong Kong Productivity Council
12:00 p – 02:00 p	Lunch	LI 3F Canteen Reserved Area
Session WC01	Adaptive Monitoring of Complex Industrial Processes Chair: Xun Xiao, University of Otago; Chenglong Li, Northwestern Polytechnical University	LI 2306
01:00 p – 02:30 p	Managing the Orbital Cloud: Supply-Side Inventory Control for Space-Based Data Centers under Space-Weather Regimes Hanlin Liu, Southern University of Science and Technology Statistical Monitoring of Censored Lifetime Data: Insights into Competing and Predetermined Alarms Xun Xiao, University of Otago, New Zealand A Multi-Agent Collaborative Medical Coding System with Knowledge Graph Empowered Conflict Resolution Shuang Geng, Shenzhen University
Session WC02 Flash Session	Analytics and Optimization for Quality Control and Material Design of Manufacture-Circulation Industrial System Chair: Xianpeng Wang and Chang Liu, Northeastern University	LI 2308
01:00 p – 02:30 p	Multi-Objective Evolutionary Learning Methods for Steel Product Quality Analytics and Equipment Maintenance Chang Liu, Northeastern University A Multiobjective Evolutionary Feature Selection Framework for Multi-indicator Prediction in Ladle Furnace Refining Yi Yang, Northeastern University Multi-Objective Evolutionary Learning with Dynamic Time-Window Mechanism for Temperature Field Prediction and Endpoint Quality Analytics in Steelmaking Process Hongyu Wang, Northeastern University Evolutionary Reliable and Quality-Guaranteed Fault Diagnosis for Compressor Bearings Using YOLO v8 and STFT Kexin Bi, Northeastern University Fuzzy Deep Multimodal Learning for Mechanical Fault Diagnosis Dunwang Qin, Beihang University A Quality Simulation Framework for Aluminum-Aerospace Circular Industry: From Reverse Design to Full-Process Quality Monitoring Guang Song, Northeastern University Metallographic Structure Recognition Based on Evolutionary Multi-Objective Deep Networks Kainan Zhang, Northeastern University Fault diagnosis based on MODE-Graph Convolutional neural network Dan Wang, Northeastern University Steady-state Furnace Temperature Optimal Control Based on Sparse Nonlinear Programming Xinrong Li, Northeastern University A Multi-Objective Optimization Model for Quality-Aware Blockchain Shard Reconfiguration in the Industrial Internet Shiyue Qin, Northeastern University A Functional Data Analytic Framework for Quality prediction in Hot Rolling Jian Wu, Northeastern University Prediction of Particle Size Distribution of High-Nickel Ternary Cathode Precursors for Lithium-Ion Batteries Prepared by Co-precipitation Qiuyue Zhao, Northeastern University
Session WC03	Advanced Statistical Monitoring for Complex Industrial Processes Chair: Jian Li, Xi’an Jiaotong University	LI 2310
01:00 p – 02:30 p	A Spatially-Constrained Sparse Multi-task Linear Mixed Model with Application in Health Screenings Across U.S. College Health Centers Zhiji Nie, Arizona State University An Adaptive Sampling Strategy for Monitoring Clustered Anomalies in Large-Scale Spatial Domains Kaizong Bai, Northeastern University of Finance and Economics Multi-Way Tail Learning by Tensor Pooling and Factorization for Extreme Demand Forecasting: Application in Metro Transport Kai Wang, Xi'an Jiaotong University "Plan First, Judge Later, Run Better": A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Man Li, Southwestern University of Finance and Economics
Session WC04	Enhancing Quality of Complex Products through AI, Robotics, and Machine Learning in Manufacturing Chair: Changhui Liu, Tongji University	LI 2312
01:00 p – 02:30 p	AI-Powered Quality Control Across Scales: From Thin-Walled Assembly to Welding and Additive Manufacturing Changhui Liu, Tongji University Adaptive multimodal industrial fault diagnosis with attention-driven fusion boosting unimodal performance Di Wang, Shanghai Jiaotong University Variance-Regularized Bayesian Reinforcement Learning for Manufacturing Operations: Methodology and Applications Rui Wang, The Hong Kong University of Science and Technology (Guangzhou) Adaptive Quality Control for Hydraulic System Flushing under Cleanliness-Reliability Coupling Mingzhen Song, Southeast University
Session WD01	Physics-enhanced learning-driven PHM for components and complex systems Chair: Zhen Chen, Yaping Li & Di Zhou, Shanghai Jiaotong University	LI 2306
02:30 p – 04:00 p	Inconsistency Detection in Lithium-ion Battery Energy Storage Systems Based on Differential Voltage Analysis and Functional Data Clustering Weijie Liu, Shanghai Jiaotong University Physics-data integrated degradation modeling with fragmented data: Measure-equivalent calibration and cross-condition generalization Zirong Wang, Shanghai Jiaotong University Health-Referenced Temporal Causal DAG Modeling for Interpretable Rolling Bearing Fault Diagnosis Yang Hu, Donghua University Deformation and damage mechanism and identification methods for ballastless tracks of high speed railway Shengyang Zhu, Southwest Jiaotong University
Session WD02	AI-Enabled Quality Prediction and Process Optimization in Advanced Manufacturing Chair: Hongyue Sun, University of Georgia	LI 2308
02:30 p – 04:00 p	TSEMi: An Interpretable Time-Series Ensemble Learning Framework for Wafer-Level Quality Prediction Yihao Ang, National University of Singapore Evolutionary Semi-Supervised Cross-Grade Regression for Quality Prediction in Hot-Rolled Steel Jiqing An, Northeastern University Mechanism-informed Statistical Learning for Predicting the Growth Rate of Aluminum Nitride Epitaxial Thin Film Lingxi Zhang, Northeastern University Multi-Stage Modeling and Multi-Criteria Optimization of Direct Ink Writing Hongyue Sun, University of Georgia
Session WD03	Uncertainty Quantification and Optimization Chair: Jinhua Lyu, Northwestern University	LI 2310
02:30 p – 04:00 p	Interpretable Physics-Informed Gaussian Processes via PDE-Residual Kernel Yu Tan, Shanghai Jiaotong University Recent advances in air traffic network delay prediction under multi-source uncertainty Jiangchen Li, Nanjing University of Aeronautics and Astronautics Accelerating Non-convex PDE Optimization via Probability Flow Priors and Dynamically Convexified ADMM Yilei Guo, Peking University DiffATS: Diffusion in Aligned Tensor Space Jinhua Lyu, Northwestern University
03:45 p – 05:00 p	Farewell Coffee Break	Area Outside LI 3505
Session WE01	Advanced Machine Learning for Reliability Chair: Zicheng Fei, Soochow University	LI 2306
04:30 p – 06:00 p	A Lightweight Instruction-Following Language Model for Supply Chain Resilience Management Chiye Ma, City University of Hong Kong Vision-powered generative paradigm for robust battery health prediction in real-world electric vehicles Zicheng Fei, Soochow University Improved Reliability of Autonomous Detection and Response to Wildfires Daniel Rice, Babson College
Session WE02	Reliability Analysis and Maintenance Decision-Making for Complex Systems Chair: Qiuzhuang Sun, Singapore Management University	LI 2308
04:30 p – 06:00 p	Reliability analysis of balanced systems with variable balance rules Ziyi Feng, Beijing Information Science and Technology University Robust generator maintenance schedule for frequency-secure power systems Qiuzhuang Sun, Singapore Management University Acoustic Emission-Based RUL Prediction and Reliability Analysis for Titanium Alloys in Seawater Corrosion Environment Wanying Zhang, University of Science and Technology Beijing
Session WE03	Defect Detection, Surface Quality, and Industrial Process Monitoring Chair: Weihong “Grace” Guo, Dalian University of Technology	LI 2310
04:30 p – 06:00 p	Wave-Particle Dual Quality Characterization for Equipment Image Defect Detection Based on Data Analytics and Optimization Dong Ji, Northeastern University Persistent Homology-Based Noise-Robust Surface Defect Classification for 3D Point Clouds Dongheng Chen, The Hong Kong University of Science and Technology (Guangzhou) Assessing the Impact of Traceability on Diagnosability and Maintenance Decisions in Parallel-Machine Production Systems Weihong “Grace” Guo, Dalian University of Technology Generative AI for Milling Chatter Prognosis with Imbalanced Data Weihong “Grace” Guo, Dalian University of Technology A Nonparametric Adaptive Exponentially Weighted Moving Average Control Chart for Monitoring Multivariate Serially Correlated Time-Between-Events-and-Amplitude Data Lisheng An, Tianjin University

FOURTH DAY, THURSDAY, JULY 09, 2026 +

09:30 a – 12:00 p

Department and Embodied AI Lab Tour