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Computer Science

D-Index
34
Citations
4883
World Ranking
12196
National Ranking
163

Overview

Hoong Chuin Lau is affiliated with Singapore Management University in Singapore and has contributed extensively to research in engineering and computer science. Their work primarily focuses on artificial intelligence and industrial and manufacturing engineering, with significant contributions in automotive, building and construction, and ocean engineering subfields.

Their research centers around key topics such as vehicle routing optimization methods, transportation and mobility innovations, metaheuristic optimization algorithms research, urban and freight transport logistics, quantum computing algorithms and architecture, optimization and packing problems, as well as evacuation and crowd dynamics.

Hoong Chuin Lau has authored numerous papers, including recent publications such as "Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers" (2020, Proceedings of the International Conference on Automated Planning and Scheduling), "Solving the winner determination problem for online B2B transportation matching platforms" (2021, Transportation Research Part E Logistics and Transportation Review), "Optimization of customer service and driver dispatch areas for on-demand food delivery" (2024, Transportation Research Part C Emerging Technologies), "A hierarchical optimization approach for dynamic pickup and delivery problem with LIFO constraints" (2023, Transportation Research Part E Logistics and Transportation Review), and "Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning" (2024, Proceedings of the International Conference on Automated Planning and Scheduling).

Their work has been published frequently in notable venues, including arXiv (Cornell University), Proceedings of the International Conference on Automated Planning and Scheduling, Transportation Research Part E Logistics and Transportation Review, Proceedings of the Genetic and Evolutionary Computation Conference Companion, and INFORMS Journal on Computing.

Hoong Chuin Lau maintains collaborative relationships with several frequent co-authors, including Waldy Joe, Siong Thye Goh, Monit Sharma, Sabrish Gopalakrishnan, and Jonathan Chase.

  • Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers (2020, Proceedings of the International Conference on Automated Planning and Scheduling)
  • Solving the winner determination problem for online B2B transportation matching platforms (2021, Transportation Research Part E Logistics and Transportation Review)
  • Optimization of customer service and driver dispatch areas for on-demand food delivery (2024, Transportation Research Part C Emerging Technologies)
  • A hierarchical optimization approach for dynamic pickup and delivery problem with LIFO constraints (2023, Transportation Research Part E Logistics and Transportation Review)
  • Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning (2024, Proceedings of the International Conference on Automated Planning and Scheduling)

  • Waldy Joe
  • Siong Thye Goh
  • Monit Sharma
  • Sabrish Gopalakrishnan
  • Jonathan Chase

  • arXiv (Cornell University)
  • Proceedings of the International Conference on Automated Planning and Scheduling
  • Transportation Research Part E Logistics and Transportation Review
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • INFORMS Journal on Computing

  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Metaheuristic Optimization Algorithms Research
  • Urban and Freight Transport Logistics
  • Quantum Computing Algorithms and Architecture
  • Optimization and Packing Problems
  • Evacuation and Crowd Dynamics

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Building and Construction
  • Ocean Engineering

Best Publications

  • Orienteering Problem: A survey of recent variants, solution approaches and applications

    Aldy Gunawan;Hoong Chuin Lau;Pieter Vansteenwegen

  • Vehicle routing problem with time windows and a limited number of vehicles

    Hoong Chuin Lau;Melvyn Sim;Kwong Meng Teo

  • PICKUP AND DELIVERY WITH TIME WINDOWS: ALGORITHMS AND TEST CASE GENERATION

    Hoong Chuin Lau;Zhe Liang

  • On the complexity of manpower shift scheduling

    Hoong Chuin Lau

  • Collaborative Urban Logistics – Synchronizing the Last Mile a Singapore Research Perspective

    Robert De Souza;Mark Goh;Hoong Chuin Lau;Wee-Siong Ng

  • Evaluation of time-varying availability in multi-echelon spare parts systems with passivation

    Hoong Chuin Lau;Huawei Song;Chuen Teck See;Siew Yen Cheng

  • An intelligent brokering system to support multi-agent Web-based 4/sup th/-party logistics

    Hoong Chuin Lau;Yam Guan Goh

  • Optimizing Service Systems Based on Application-Level QoS

    Qianhui Liang;Xindong Wu;Hoong Chuin Lau

  • Task allocation via multi-agent coalition formation: taxonomy, algorithms and complexity

    Hoong Chuin Lau;Lei Zhang

  • On the Strategy of Supply Hubs for Cost Reduction and Responsiveness

    Earl Barnes;Jim Dai;Shijie Deng;Doug Down

  • On the complexity of manpower shift scheduling

    Unknown

  • Master Physician Scheduling Problem

    Aldy Gunawan;Hoong Chuin Lau

  • Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers

    Waldy Joe;Hoong Chuin Lau

  • Pickup and delivery with time windows: algorithms and test case generation

    H.C. Lau;Z. Liang

  • Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring

    Magnús M. Halldórsson;Hoong Chuin Lau

  • A periodic-review inventory model with application to the continuous-review obsolescence problem

    Yuyue Song;Hoong Chuin Lau

  • Augmenting decisions of taxi drivers through reinforcement learning for improving revenues

    Tanvi Verma;Pradeep Varakantham;Sarit Kraus;Hoong Chuin Lau

  • Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm

    Duc Thien Nguyen;William Yeoh;Hoong Chuin Lau

  • Ant Colony Optimization for the Ship Berthing Problem

    Chia Jim Tong;Hoong Chuin Lau;Andrew Lim

  • Credit Assignment For Collective Multiagent RL With Global Rewards

    Duc Thien Nguyen;Akshat Kumar;Hoong Chuin Lau

  • TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing

    Thivya Kandappu;Nikita Jaiman;Randy Tandriansyah;Archan Misra

  • Production, Manufacturing and Logistics Evaluation of time-varying availability in multi-echelon spare parts systems with passivation

    Hoong Chuin Lau;Huawei Song;Chuen Teck See;Siew Yen Cheng

Frequent Co-Authors

Archan Misra
Archan Misra Singapore Management University
Mark Goh
Mark Goh National University of Singapore
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Vincent F. Yu
Vincent F. Yu National Taiwan University of Science and Technology
Shlomo Zilberstein
Shlomo Zilberstein University of Massachusetts Amherst
David Lo
David Lo Singapore Management University
Martin Bichler
Martin Bichler Technical University of Munich
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
Ramayya Krishnan
Ramayya Krishnan Carnegie Mellon University
Osamu Watanabe
Osamu Watanabe Tokyo Institute of Technology

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