Bibliographic Section. - Frank Southworth; Laura Wynter (Transp. Sci., 1996)

Stochastic mathematical programs with equilibrium constraints. - Michael Patriksson; Laura Wynter (Oper. Res. Lett., 1999)

Outsourcing and price-QoS equilibrium for e-commerce and Internet firms: IT on-demand. - Parijat Dube; Zhen Liu 001; Laura Wynter; Cathy H. Xia (CDC, 2003)

Capacitated Network Revenue Management through Shadow Pricing. - Mustapha Bouhtou; Madiagne Diallo; Laura Wynter (Networked Group Communication, 2003)

Pricing and QoS of information services in a competitive market (extended abstract). - Zhen Liu 001; Laura Wynter; Cathy H. Xia (EC, 2003)

Usage-based versus flat pricing for e-business services with differentiated QoS. - Zhen Liu 001; Laura Wynter; Cathy H. Xia (CEC, 2003)

Dynamic offloading in a multi-provider environment: a behavioral framework for use in influencing peering. - Zhen Liu 001; Vishal Misra; Laura Wynter (CCGRID, 2004)

Analysis of a Yield Managementmodel for on Demand Computing Centers. - Yezekael Hayel; Laura Wynter; Parijat Dube (I3E, 2004)

Performance Planning, Quality-of-Service, and Pricing under Competition. - Corinne Touati; Parijat Dube; Laura Wynter (NETWORKING, 2004)

Parameter inference of queueing models for IT systems using end-to-end measurements. - Laura Wynter; Cathy H. Xia; Fan Zhang (SIGMETRICS, 2004)

Optimizing Proportionally Fair Prices. - Laura Wynter (Telecommun. Syst., 2004)

A New Look at the Multiclass Network Equilibrium Problem. - Patrice Marcotte; Laura Wynter (Transp. Sci., 2004)

Autonomic Management of Stream Processing Applications via Adaptive Bandwidth Control. - Dimitrios E. Pendarakis; Jeremy Silber; Laura Wynter (ICDCS, 2006)

A survey on networking games in telecommunications. - Eitan Altman; Thomas Boulogne; Rachid El Azouzi; Tania Jiménez; Laura Wynter (Comput. Oper. Res., 2006)

Parameter inference of queueing models for IT systems using end-to-end measurements. - Zhen Liu 001; Laura Wynter; Cathy H. Xia; Fan Zhang (Perform. Evaluation, 2006)

Competitive equilibrium in e-commerce: Pricing and outsourcing. - Parijat Dube; Zhen Liu 001; Laura Wynter; Cathy H. Xia (Comput. Oper. Res., 2007)

Capacity planning, quality of service and price wars. - Parijat Dube; Corinne Touati; Laura Wynter (SIGMETRICS Perform. Evaluation Rev., 2007)

Stochastic Bilevel Programs. - Laura Wynter (Encyclopedia of Optimization, 2009)

Ensemble-Based Method for Task 2: Predicting Traffic Jam. - Jingrui He; Qing He; Grzegorz Swirszcz; Yiannis Kamarianakis; Rick Lawrence; Wei Shen; Laura Wynter (ICDM Workshops, 2010)

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. - Wei Shen; Yiannis Kamarianakis; Laura Wynter; Jingrui He; Qing He; Rick Lawrence; Grzegorz Swirszcz (ICDM Workshops, 2010)

Revenue management model for on-demand IT services. - Tieming Liu; Chinnatat Methapatara; Laura Wynter (Eur. J. Oper. Res., 2010)

Guest Editorial - Special Issue on Game Theory in Communication Networks. - Tansu Alpcan; Rachid El Azouzi; Nahum Shimkin; Laura Wynter (Telecommun. Syst., 2011)

Real-time road traffic fusion and prediction with GPS and fixed-sensor data. - Wei Shen; Laura Wynter (FUSION, 2012)

Improving Traffic Prediction with Tweet Semantics. - Jingrui He; Wei Shen; Phani Divakaruni; Laura Wynter; Rick Lawrence (IJCAI, 2013)

Analysis and Real-Time Prediction of Local Incident Impact on Transportation Networks. - Yuye He; Sebastien Blandin; Laura Wynter; Barry M. Trager (ICDM Workshops, 2014)

Optimal decentralized queuing system with diversion: Using incentives to influence behavior. - Lucie Desfontaines; Laura Wynter (CDC, 2016)

Singapore in Motion: Insights on Public Transport Service Level Through Farecard and Mobile Data Analytics. - Hasan Poonawala; Vinay Kolar; Sebastien Blandin; Laura Wynter; Sambit Sahu (KDD, 2016)

Sensor placement with time-to-detection guarantees. - Saif Eddin G. Jabari; Laura Wynter (EURO J. Transp. Logist., 2016)

Denoising autoencoders for fast real-time traffic estimation on urban road networks. - Soham Ghosh; Muhammad Tayyab Asif; Laura Wynter (CDC, 2017)

Real-time prediction of length of stay using passive Wi-Fi sensing. - Truc Viet Le; Baoyang Song; Laura Wynter (ICC, 2017)

Real-time public transport service-level monitoring using passive WiFi: a spectral clustering approach for train timetable estimation. - Baoyang Song; Laura Wynter (CoRR, 2017)

Characterizing Entities in the Bitcoin Blockchain. - Marc Jourdan; Sebastien Blandin; Laura Wynter; Pralhad Deshpande (ICDM Workshops, 2018)

Robust Commuter Movement Inference from Connected Mobile Devices. - Baoyang Song; Hasan Poonawala; Laura Wynter; Sebastien Blandin (ICDM Workshops, 2018)

Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification. - Jingfeng Zhang; Laura Wynter (CoRR, 2018)

FASTER: Fusion AnalyticS for public Transport Event Response. - Sebastien Blandin; Laura Wynter; Hasan Poonawala; Sean Laguna; Basile Dura (AAMAS, 2019)

A Probabilistic Model of the Bitcoin Blockchain. - Marc Jourdan; Sebastien Blandin; Laura Wynter; Pralhad Deshpande (CVPR Workshops, 2019)

Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. - Shiau Hong Lim; Hasan Poonawala; Laura Wynter (ICDM Workshops, 2019)

Towards Robust ResNet: A Small Step but a Giant Leap. - Jingfeng Zhang; Bo Han 003; Laura Wynter; Bryan Kian Hsiang Low; Mohan S. Kankanhalli (IJCAI, 2019)

High-frequency crowd insights for public safety and congestion control. - Karthik Nandakumar; Sebastien Blandin; Laura Wynter (CoRR, 2019)

MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition. - Gavin Yeo; Shiau Hong Lim; Laura Wynter; Hifaz Hassan (INFORMS J. Appl. Anal., 2019)

Variational Bayesian Inference for Crowdsourcing Predictions. - Desmond Cai; Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter (CDC, 2020)

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (CoRR, 2020)

IBM Federated Learning: an Enterprise Framework White Paper V0.1. - Heiko Ludwig; Nathalie Baracaldo; Gegi Thomas; Yi Zhou 015; Ali Anwar 001; Shashank Rajamoni; Yuya Jeremy Ong; Jayaram Radhakrishnan; Ashish Verma 001; Mathieu Sinn; Mark Purcell; Ambrish Rawat; et al. (CoRR, 2020)

Fed+: A Family of Fusion Algorithms for Federated Learning. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (CoRR, 2020)

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (ICAPS, 2021)

Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. - Desmond Cai; Shiau Hong Lim; Laura Wynter (CDC, 2021)

Decentralized Deterministic Multi-Agent Reinforcement Learning. - Antoine Grosnit; Desmond Cai; Laura Wynter (CDC, 2021)

Probabilistic Inference for Learning from Untrusted Sources. - Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter; Desmond Cai (CoRR, 2021)

Personalized, Robust Federated Learning with Fed+. - Pengqian Yu; Achintya Kundu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

Federated Reinforcement Learning for Portfolio Management. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. - Achintya Kundu; Pengqian Yu; Laura Wynter; Shiau Hong Lim (EDGE, 2022)

Order Constraints in Optimal Transport. - Fabian Lim; Laura Wynter; Shiau Hong Lim (ICML, 2022)

Q2R: A Query-to-Resolution System for Natural-Language Queries. - Shiau Hong Lim; Laura Wynter (NAACL-HLT (Industry Papers), 2022)

Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. - Supriyo Ghosh; Laura Wynter; Shiau Hong Lim; Duc Thien Nguyen (UAI, 2022)

Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. - Zhikun Yuen; Paula Branco; Aaron Chew; Guy-Vincent Jourdan; Fabian Lim; Laura Wynter (DSAA, 2023)

Transfer-Once-For-All: AI Model Optimization for Edge. - Achintya Kundu; Laura Wynter; Rhui Dih Lee; Luis Angel D. Bathen (EDGE, 2023)

Multimodal Deep Learning with Boosted Trees for Edge Inference. - Penny Chong; Laura Wynter; Bharathi Chaudhury (ICDM (Workshops), 2023)

M3: Towards Efficient Mixed Machine Learning Model Co-Location on Constrained Edge Devices. - Luis Angel D. Bathen; Simeon Babatunde; Rhui Dih Lee; Achintya Kundu; Laura Wynter (MILCOM, 2023)

TOFA: Transfer-Once-for-All. - Achintya Kundu; Laura Wynter; Rhui Dih Lee; Luis Angel D. Bathen (CoRR, 2023)

Transformer Models with Explainability for IT Telemetry and Business Events. - Shiau Hong Lim; Laura Wynter (SSE, 2024)

Efficiently Distilling LLMs for Edge Applications. - Achintya Kundu; Fabian Lim; Aaron Chew; Laura Wynter; Penny Chong; Rhui Dih Lee (NAACL (Industry Track), 2024)

Enhancing Training Efficiency Using Packing with Flash Attention. - Achintya Kundu; Rhui Dih Lee; Laura Wynter; Raghu Kiran Ganti; Mayank Mishra (CoRR, 2024)

Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts. - Rhui Dih Lee; Laura Wynter; Raghu Kiran Ganti (CoRR, 2024)

Collaboratively adding new knowledge to an LLM. - Rhui Dih Lee; Laura Wynter (CoRR, 2024)