GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. - Chetan Gupta 001; Robert L. Grossman (SDM, 2004)

Outlier Detection with Streaming Dyadic Decomposition. - Chetan Gupta 001; Robert L. Grossman (ICDM, 2007)

BI batch manager: a system for managing batch workloads on enterprise data-warehouses. - Abhay Mehta; Chetan Gupta 001; Umeshwar Dayal (EDBT, 2008)

PQR: Predicting Query Execution Times for Autonomous Workload Management. - Chetan Gupta 001; Abhay Mehta; Umeshwar Dayal (ICAC, 2008)

Automatic Workload Management for Enterprise Data Warehouses. - Abhay Mehta; Chetan Gupta 001; Song Wang 001; Umeshwar Dayal (IEEE Data Eng. Bull., 2008)

VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans. - Song Wang 001; Chetan Gupta 001; Abhay Mehta (BIRTE, 2009)

Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse. - Chetan Gupta 001; Abhay Mehta; Song Wang 001; Umeshwar Dayal (EDBT, 2009)

rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses. - Abhay Mehta; Chetan Gupta 001; Song Wang 001; Umeshwar Dayal (ICDE, 2009)

Classification with Unknown Classes. - Chetan Gupta 001; Song Wang 001; Umeshwar Dayal; Abhay Mehta (SSDBM, 2009)

CHAOS: A Data Stream Analysis Architecture for Enterprise Applications. - Chetan Gupta 001; Song Wang 001; Ismail Ari; Ming C. Hao; Umeshwar Dayal; Abhay Mehta; Manish Marwah; Ratnesh K. Sharma (CEC, 2009)

NEEL: The Nested Complex Event Language for Real-Time Event Analytics. - Mo Liu 001; Elke A. Rundensteiner; Daniel J. Dougherty; Chetan Gupta 001; Song Wang 001; Ismail Ari; Abhay Mehta (BIRTE, 2010)

Processing nested complex sequence pattern queries over event streams. - Mo Liu 001; Medhabi Ray; Elke A. Rundensteiner; Daniel J. Dougherty; Chetan Gupta 001; Song Wang 001; Ismail Ari; Abhay Mehta (DMSN, 2010)

Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence. - Malú Castellanos; Umeshwar Dayal; Song Wang 001; Chetan Gupta 001 (DNIS, 2010)

Leveraging web streams for contractual situational awareness in operational BI. - Malú Castellanos; Chetan Gupta 001; Song Wang 001; Umeshwar Dayal (EDBT/ICDT Workshops, 2010)

Non-dyadic Haar wavelets for streaming and sensor data. - Chetan Gupta 001; Choudur Lakshminarayan; Song Wang 001; Abhay Mehta (ICDE, 2010)

E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies. - Mo Liu 001; Elke A. Rundensteiner; Kara Greenfield; Chetan Gupta 001; Song Wang 001; Ismail Ari; Abhay Mehta (ICDE, 2010)

Partitioning real-time ETL workflows. - Alkis Simitsis; Chetan Gupta 001; Song Wang 001; Umeshwar Dayal (ICDE Workshops, 2010)

SIE-OBI: a streaming information extraction platform for operational business intelligence. - Malú Castellanos; Song Wang 001; Umeshwar Dayal; Chetan Gupta 001 (SIGMOD Conference, 2010)

An Application of Sensor and Streaming Analytics to Oil Production. - Krishnamurthy Viswanathan; Chetan Gupta 001; Choudur Lakshminarayan; Ming C. Hao; Umeshwar Dayal; Ravigopal Vennelakanti; Paul Helm; Sumitha Rangaiah; Harikrishnam-Raju Sagiraju; Sunil Doddmani (COMAD, 2011)

Live BI: A Framework for Real Time Operations Management. - Chetan Gupta 001; Umeshwar Dayal; Song Wang 001; Abhay Mehta (DNIS, 2011)

High-performance nested CEP query processing over event streams. - Mo Liu 001; Elke A. Rundensteiner; Daniel J. Dougherty; Chetan Gupta 001; Song Wang 001; Ismail Ari; Abhay Mehta (ICDE, 2011)

Optimizing complex sequence pattern extraction using caching. - Medhabi Ray; Mo Liu 001; Elke A. Rundensteiner; Daniel J. Dougherty; Chetan Gupta 001; Song Wang 001; Abhay Mehta; Ismail Ari (ICDE Workshops, 2011)

E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. - Mo Liu 001; Elke A. Rundensteiner; Kara Greenfield; Chetan Gupta 001; Song Wang 001; Ismail Ari; Abhay Mehta (SIGMOD Conference, 2011)

Realtime healthcare services via nested complex event processing technology. - Mo Liu 001; Medhabi Ray; Dazhi Zhang; Elke A. Rundensteiner; Daniel J. Dougherty; Chetan Gupta 001; Song Wang 001; Ismail Ari (EDBT, 2012)

Of Cubes, DAGs and Hierarchical Correlations: A Novel Conceptual Model for Analyzing Social Media Data. - Umeshwar Dayal; Chetan Gupta 001; Malú Castellanos; Song Wang 001; Manolo García-Solaco (ER, 2012)

Event correlation for operations management of largescale IT systems. - Chetan Gupta 001 (ICAC, 2012)

Mining traffic incidents to forecast impact. - Mahalia Miller; Chetan Gupta 001 (UrbComp@KDD, 2012)

Optimizing Flows for Real Time Operations Management. - Alkis Simitsis; Chetan Gupta 001; Kevin Wilkinson; Umeshwar Dayal (SSDBM, 2012)

A platform for situational awareness in operational BI. - Malú Castellanos; Chetan Gupta 001; Song Wang 001; Umeshwar Dayal; Miguel Durazo (Decis. Support Syst., 2012)

High-performance complex event processing using continuous sliding views. - Medhabi Ray; Elke A. Rundensteiner; Mo Liu 001; Chetan Gupta 001; Song Wang 001; Ismail Ari (EDBT, 2013)

Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks. - Bei Pan; Ugur Demiryurek; Cyrus Shahabi; Chetan Gupta 001 (ICDM, 2013)

An Approach to Benchmarking Industrial Big Data Applications. - Umeshwar Dayal; Chetan Gupta 001; Ravigopal Vennelakanti; Marcos R. Vieira; Song Wang 001 (WBDB, 2014)

Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems. - Bei Pan; Ugur Demiryurek; Chetan Gupta 001; Cyrus Shahabi (Knowl. Inf. Syst., 2015)

Long Short-Term Memory Network for Remaining Useful Life estimation. - Shuai Zheng; Kosta Ristovski; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2017)

Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines. - Kosta Ristovski; Chetan Gupta 001; Kunihiko Harada; Hsiu-Khuern Tang (KDD, 2017)

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. - Karan Aggarwal; Onur Atan; Ahmed K. Farahat; Chi Zhang 030; Kosta Ristovski; Chetan Gupta 001 (IEEE BigData, 2018)

What Maintenance is Worth the Money? A Data-Driven Answer. - Qiyao Wang; Ahmed K. Farahat; Kosta Ristovski; Hsiu-Khuern Tang; Susumu Serita; Chetan Gupta 001 (INDIN, 2018)

Equipment Health Indicator Learning Using Deep Reinforcement Learning. - Chi Zhang 030; Chetan Gupta 001; Ahmed K. Farahat; Kosta Ristovski; Dipanjan Ghosh (ECML/PKDD (3), 2018)

Regularized Operating Envelope with Interpretability and Implementability Constraints. - Qiyao Wang; Haiyan Wang 003; Chetan Gupta 001; Susumu Serita (IEEE BigData, 2019)

Evaluation of Event Impact on Key Performance Indicators. - Qiyao Wang; Ahmed K. Farahat; Kosta Ristovski; Chetan Gupta 001; Shuai Zheng (ICMLA, 2019)

Risk-Based Dynamic Pricing via Failure Prediction. - Chi Zhang 030; Chetan Gupta 001; Seiji Joichi; Ahmed K. Farahat; Huijuan Shao (ICMLA, 2019)

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. - Hamed Khorasgani; Arman Hasanzadeh; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2019)

Remaining Useful Life Estimation Using Functional Data Analysis. - Qiyao Wang; Shuai Zheng; Ahmed K. Farahat; Susumu Serita; Chetan Gupta 001 (ICPHM, 2019)

Multilayer Perceptron for Sparse Functional Data. - Qiyao Wang; Shuai Zheng; Ahmed K. Farahat; Susumu Serita; Takashi Saeki; Chetan Gupta 001 (IJCNN, 2019)

Manufacturing Dispatching Using Reinforcement and Transfer Learning. - Shuai Zheng; Chetan Gupta 001; Susumu Serita (ECML/PKDD (3), 2019)

Generative Adversarial Networks for Failure Prediction. - Shuai Zheng; Ahmed K. Farahat; Chetan Gupta 001 (ECML/PKDD (3), 2019)

A Non-linear Function-on-Function Model for Regression with Time Series Data. - Qiyao Wang; Haiyan Wang 003; Chetan Gupta 001; Aniruddha Rajendra Rao; Hamed Khorasgani (IEEE BigData, 2020)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001; Haiyan Wang 003 (IEEE BigData, 2020)

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management. - Atsuki Kiuchi; Haiyan Wang 003; Qiyao Wang; Takahiro Ogura; Tazu Nomoto; Chetan Gupta 001; Takaharu Matsui; Susumu Serita; Chi Zhang 030 (CASE, 2020)

Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log. - Satoshi Nagahara; Susumu Serita; Yuma Shiho; Shuai Zheng; Haiyan Wang 003; Takafumi Chida; Chetan Gupta 001 (CASE, 2020)

Spatio-Temporal Functional Neural Networks. - Aniruddha Rajendra Rao; Qiyao Wang; Haiyan Wang 003; Hamed Khorasgani; Chetan Gupta 001 (DSAA, 2020)

Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification. - Shuai Zheng; Chetan Gupta 001 (ICASSP, 2020)

Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction. - Shuai Zheng; Chetan Gupta 001 (ICASSP, 2020)

Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. - Walid Shalaby; Adriano S. Arantes; Teresa GonzalezDiaz; Chetan Gupta 001 (ICPHM, 2020)

Health Indicator Forecasting for Improving Remaining Useful Life Estimation. - Qiyao Wang; Ahmed K. Farahat; Chetan Gupta 001; Haiyan Wang 003 (ICPHM, 2020)

Deep Learning for Industrial AI: Challenges, New Methods and Best Practices. - Chetan Gupta 001; Ahmed K. Farahat (KDD, 2020)

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. - Lijing Wang 001; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Ahmed K. Farahat; Mahbubul Alam; Chetan Gupta 001; Jiangzhuo Chen; Madhav V. Marathe (NeurIPS, 2020)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001 (CoRR, 2020)

Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001 (CoRR, 2020)

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. - Hamed Khorasgani; Haiyan Wang 003; Hsiu-Khuern Tang; Chetan Gupta 001 (IEEE BigData, 2021)

Guided Visual Inspection enabled by AI-based Detection Models. - Maria Teresa Gonzalez Diaz; Dipanjan Ghosh; Adriano S. Arantes; Hamed Khorosgani; Mahbubul Alam; Gregory Sin; Chetan Gupta 001 (ICPHM, 2021)

Deep Reinforcement Learning with Adjustments. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001; Susumu Serita (INDIN, 2021)

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. - Dustin Carrión-Ojeda; Mahbubul Alam; Sergio Escalera; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 2021)

An Offline Deep Reinforcement Learning for Maintenance Decision-Making. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001; Ahmed K. Farahat (CoRR, 2021)

Data-driven Residual Generation for Early Fault Detection with Limited Data. - Hamed Khorasgani; Ahmed K. Farahat; Chetan Gupta 001 (CoRR, 2021)

Deep time series models for scarce data. - Qiyao Wang; Ahmed K. Farahat; Chetan Gupta 001; Shuai Zheng (Neurocomputing, 2021)

Functional approach for Two Way Dimension Reduction in Time Series. - Aniruddha Rajendra Rao; Haiyan Wang 003; Chetan Gupta 001 (IEEE Big Data, 2022)

Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization. - Ibrahim El Shar; Wenhuan Sun; Haiyan Wang 003; Chetan Gupta 001 (CASE, 2022)

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. - Takuya Kanazawa; Chetan Gupta 001 (IJCCI, 2022)

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. - Takuya Kanazawa; Haiyan Wang 003; Chetan Gupta 001 (IJCNN, 2022)

Enabling Product Circularity Through Big Data Analytics and Digitalization. - Umeshwar Dayal; Manish Gupta; Dipanjan Ghosh; Dinesh Wadhawan; Archana Morrow; Sadanori Horiguchi; Haiyan Wang 003; Aniruddha Rajendra Rao; Anastasia Osling; Chetan Gupta 001; Ravigopal Vennelakanti; Amit Kumar (MWSCAS, 2022)

Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator. - Takahiro Ogura; Haiyan Wang 003; Qiyao Wang; Atsuki Kiuchi; Chetan Gupta 001; Naoshi Uchihira (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization. - Ibrahim El Shar; Haiyan Wang 003; Chetan Gupta 001 (CASE, 2023)

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. - Xian Yeow Lee; Lasitha Vidyaratne; Mahbubul Alam; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001 (CVPR Workshops, 2023)

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. - Takuya Kanazawa; Chetan Gupta 001 (ICANN (6), 2023)

An ensemble of convolution-based methods for fault detection using vibration signals. - Xian Yeow Lee; Aman Kumar; Lasitha Vidyaratne; Aniruddha Rajendra Rao; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2023)

CDA: Contrastive-adversarial Domain Adaptation. - Nishant Yadav; Mahbubul Alam; Ahmed K. Farahat; Dipanjan Ghosh; Chetan Gupta 001; Auroop R. Ganguly (CoRR, 2023)

Optimal Load Shedding for Public Safety Power Shutoffs. - Aniruddha Rajendra Rao; Chandrasekar Venkatraman; Robert Ellis; Chetan Gupta 001 (CoRR, 2023)

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. - Jueming Hu; Haiyan Wang 003; Hsiu-Khuern Tang; Takuya Kanazawa; Chetan Gupta 001; Ahmed K. Farahat (Comput. Ind. Eng., 2023)

Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. - Xian Yeow Lee; Haiyan Wang 003; Daisuke Katsumata; Takaharu Matsui; Chetan Gupta 001 (IEEE Big Data, 2024)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. - Xian Yeow Lee; Haiyan Wang 003; Daisuke Katsumata; Takaharu Matsui; Chetan Gupta 001 (CogMI, 2024)

Predictive Analysis for Optimizing Port Operations. - Aniruddha Rajendra Rao; Haiyan Wang 003; Chetan Gupta 001 (CoRR, 2024)

Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance. - Jana Backhus; Aniruddha Rajendra Rao; Chandrasekar Venkatraman; Abhishek Padmanabhan; A. Vinoth Kumar; Chetan Gupta 001 (CoRR, 2024)

Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM). - Lasitha Vidyaratne; Huijuan Shao; Tsubasa Watanabe; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2025)