Hoong Chuin Lau

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 85

Top Venues

Publications

Paul Mingzheng Tang, Kenji Kah Hoe Leong, Nowshad Shaik, Hoong Chuin Lau
Automated Conversion of Static to Dynamic Scheduler via Natural Language. CoRR (2024)
Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. ICAPS (2024)
Ningyi Xie, Xinwei Lee, Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai, Hoong Chuin Lau
A feasibility-preserved quantum approximate solver for the Capacitated Vehicle Routing Problem. Quantum Inf. Process. 23 (8) (2024)
Waldy Joe, Hoong Chuin Lau
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning. IJCAI (2023)
Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi
The BeMi Stardust: A Structured Ensemble of Binarized Neural Networks. LION (2023)
Ningyi Xie, Xinwei Lee, Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai, Hoong Chuin Lau
A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem. CoRR (2023)
Quang Anh Pham, Hoong Chuin Lau, Minh Hoàng Hà, Lam Vu
An Efficient Hybrid Genetic Algorithm for the Quadratic Traveling Salesman Problem. ICAPS (2023)
Paul Mingzheng Tang, Ba Phong Tran, Hoong Chuin Lau
Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges. CoRR (2023)
Tran Phong, Hoong Chuin Lau
Generative STResnet for Crime Prediction. Tiny Papers @ ICLR (2023)
Minghui Tan, Kar Way Tan, Hoong Chuin Lau
A Big Data Approach to Augmenting the Huff Model with Road Network and Mobility Data for Store Footfall Prediction. BigData (2023)
Songhan Wong, Waldy Joe, Hoong Chuin Lau
Dynamic Police Patrol Scheduling with Multi-Agent Reinforcement Learning. LION (2023)
Waldy Joe, Hoong Chuin Lau
Coordinating Multi-party Vehicle Routing with Location Congestion via Iterative Best Response. SN Comput. Sci. 4 (2) (2023)
Zhiqin Zhang, Waldy Joe, Yuyang Er, Hoong Chuin Lau
When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem in Peer-to-Peer Logistics Platforms. ICCL (2023)
Siong Thye Goh, Jianyuan Bo, Sabrish Gopalakrishnan, Hoong Chuin Lau
Techniques to enhance a QUBO solver for permutation-based combinatorial optimization. GECCO Companion (2022)
Waldy Joe, Hoong Chuin Lau, Jonathan Pan
Reinforcement Learning Approach to Solve Dynamic Bi-objective Police Patrol Dispatching and Rescheduling Problem. ICAPS (2022)
Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi
The BeMi Stardust: a Structured Ensemble of Binarized Neural Networks. CoRR (2022)
Jonathan Chase, Jingfeng Yang, Hoong Chuin Lau
Risk-Aware Procurement Optimization in a Global Technology Supply Chain. ICCL (2022)
Ruidian Song, Hoong Chuin Lau, Xue Luo, Lei Zhao
Coordinated Delivery to Shopping Malls with Limited Docking Capacity. Transp. Sci. 56 (2) (2022)
Jonathan Chase, Siong Thye Goh, Tran Phong, Hoong Chuin Lau
OFFICERS: Operational Framework for Intelligent Crime-and-Emergency Response Scheduling. ICAPS (2022)
Whei Yeap Suen, Matthieu Parizy, Hoong Chuin Lau
Enhancing a QUBO solver via data driven multi-start and its application to vehicle routing problem. GECCO Companion (2022)
Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. CoRR (2022)
Waldy Joe, Hoong Chuin Lau
Coordinating Multi-party Vehicle Routing with Location Congestion via Iterative Best Response. EUMAS (2021)
Arambam James Singh, Akshat Kumar, Hoong Chuin Lau
Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL. ICAPS (2021)
Jingfeng Yang, Hoong Chuin Lau
A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances. ICCL (2021)
Jonathan Chase, Tran Phong, Kang Long, Tony Le, Hoong Chuin Lau
GRAND-VISION: An Intelligent System for Optimized Deployment Scheduling of Law Enforcement Agents. ICAPS (2021)
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates. CoRR (2021)
Whei Yeap Suen, Chun Yat Lee, Hoong Chuin Lau
Quantum-inspired algorithm for Vehicle Sharing Problem. QCE (2021)
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau
QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates. ICDCS Workshops (2021)
Arambam James Singh, Akshat Kumar, Hoong Chuin Lau
Approximate Difference Rewards for Scalable Multigent Reinforcement Learning. AAMAS (2021)
Arambam James Singh, Akshat Kumar, Hoong Chuin Lau
Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management. AAMAS (2020)
Waldy Joe, Hoong Chuin Lau
Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers. ICAPS (2020)
Bertran Queck, Hoong Chuin Lau
A Genetic Algorithm to Minimise the Number of Vehicles in the Electric Vehicle Routing Problem. ICCL (2020)
Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau
Decision Making for Improving Maritime Traffic Safety Using Constraint Programming. IJCAI (2019)
Qu Wei, Zhaoxia Guo, Hoong Chuin Lau, Zhenggang He
An artificial bee colony-based hybrid approach for waste collection problem with midway disposal pattern. Appl. Soft Comput. 76 (2019)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. J. Artif. Intell. Res. 64 (2019)
Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Multiagent Decision Making For Maritime Traffic Management. AAAI (2019)
Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau
Route Planning for a Fleet of Electric Vehicles with Waiting Times at Charging Stations. EvoCOP (2019)
Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
Entropy Based Independent Learning in Anonymous Multi-Agent Settings. ICAPS (2019)
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. IJCAI (2019)
Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau
A State Aggregation Approach for Stochastic Multiperiod Last-Mile Ride-Sharing Problems. Transp. Sci. 53 (1) (2019)
Aldy Gunawan, Hoong Chuin Lau, Kun Lu
ADOPT: Combining parameter tuning and Adaptive Operator Ordering for solving a class of Orienteering Problems. Comput. Ind. Eng. 121 (2018)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Randy Tandriansyah, Hoong Chuin Lau
Obfuscation At-Source: Privacy in Context-Aware Mobile Crowd-Sourcing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (1) (2018)
Teck-Hou Teng, Hoong Chuin Lau, Aldy Gunawan
Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks. LION (2018)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Credit Assignment For Collective Multiagent RL With Global Rewards. NeurIPS (2018)
Lucas Agussurja, Akshat Kumar, Hoong Chuin Lau
Resource-Constrained Scheduling for Maritime Traffic Management. AAAI (2018)
Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh
Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. CoRR (2018)
Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. CoRR (2018)
Pallavi Manohar, Pradeep Varakantham, Hoong Chuin Lau
Bounded Rank Optimization for Effective and Efficient Emergency Response. ICAPS (2018)
Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Ketki Kulkarni, Hoong Chuin Lau, Hai Wang, Sathyavarathan Sivabalasingam, Khiem Trong Tran
Design and Implementation of Decision Support for Traffic Management at multipurpose Port Gates. WSC (2018)
Wenjie Wang, Hoong Chuin Lau, Shih-Fen Cheng
Exact and heuristic approaches for the multi-agent orienteering problem with capacity constraints. SSCI (2017)
Baoxiang Li, Hoong Chuin Lau
A Combinatorial Auction for Transportation Matching Service: Formulation and Adaptive Large Neighborhood Search Heuristic. ICCL (2017)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Collective Multiagent Sequential Decision Making Under Uncertainty. AAAI (2017)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Hoong Chuin Lau
Privacy in context-aware mobile crowdsourcing systems. PerCom Workshops (2017)
Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar
A Multi-Agent System for Coordinating Vessel Traffic. AAMAS (2017)
Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen, Kun Lu
Well-tuned algorithms for the Team Orienteering Problem with Time Windows. J. Oper. Res. Soc. 68 (8) (2017)
Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS (2017)
Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. PredictGIS@SIGSPATIAL (2017)
Truc Viet Le, Richard Jayadi Oentaryo, Siyuan Liu, Hoong Chuin Lau
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. IEEE Trans. Big Data 3 (2) (2017)
Ketki Kulkarni, Khiem Trong Tran, Hai Wang, Hoong Chuin Lau
Efficient gate system operations for a multipurpose port using simulation-optimization. WSC (2017)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. NIPS (2017)
Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. AAAI Workshops (2017)
Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar
Coordinating Vessel Traffic to Improve Safety and Efficiency. AAMAS (2017)
Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau
Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty. ICAPS (2017)
Jonathan Chase, Jiali Du, Na Fu, Truc Viet Le, Hoong Chuin Lau
Law enforcement resource optimization with response time guarantees. SSCI (2017)
Truc Viet Le, Richard Jayadi Oentaryo, Siyuan Liu, Hoong Chuin Lau
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. CoRR (2017)
Truc Viet Le, Siyuan Liu, Hoong Chuin Lau
A Reinforcement Learning Framework for Trajectory Prediction Under Uncertainty and Budget Constraint. ECAI (2016)
Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp (2016)
Teck-Hou Teng, Shih-Fen Cheng, Trong Nghia Truong, Hoong Chuin Lau
Managing egress of crowd during infrastructure disruption. WSC (2016)
Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang
PRESS: PeRsonalized Event Scheduling recommender System (Demonstration). AAMAS (2016)
Hala Mostafa, Akshat Kumar, Hoong Chuin Lau
Simultaneous Optimization and Sampling of Agent Trajectories over a Network. AAMAS Workshops (Visionary Papers) (2016)
Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng
Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. AAAI (2016)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW (2016)
Na Fu, Pradeep Varakantham, Hoong Chuin Lau
Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty. ICAPS (2016)
Hoong Chuin Lau, Günther R. Raidl, Pascal Van Hentenryck
New developments in metaheuristics and their applications - Selected extended contributions from the 10th Metaheuristics International Conference (MIC 2013). J. Heuristics 22 (4) (2016)
Truc Viet Le, Siyuan Liu, Hoong Chuin Lau
Reinforcement Learning Framework for Modeling Spatial Sequential Decisions under Uncertainty: (Extended Abstract). AAMAS (2016)
Stephanus Daniel Handoko, Hoong Chuin Lau, Shih-Fen Cheng
Achieving Economic and Environmental Sustainabilities in Urban Consolidation Center With Bicriteria Auction. IEEE Trans Autom. Sci. Eng. 13 (4) (2016)
Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau
Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search. LION (2016)
Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir
Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection. LION (2016)
Hoong Chuin Lau, Zhi Yuan, Aldy Gunawan
Patrol scheduling in urban rail network. Ann. Oper. Res. 239 (1) (2016)
Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen
Orienteering Problem: A survey of recent variants, solution approaches and applications. Eur. J. Oper. Res. 255 (2) (2016)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon
Approximate Inference Using DC Programming For Collective Graphical Models. AISTATS (2016)
Pradeep Varakantham, Na Fu, Hoong Chuin Lau
A Proactive Sampling Approach to Project Scheduling under Uncertainty. AAAI (2016)
Aldy Gunawan, Hoong Chuin Lau, Pradeep Varakantham, Wenjie Wang
An Intelligent System for Personalized Conference Event Recommendation and Scheduling. ECAI (2016)
Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC (2015)
Stephanus Daniel Handoko, Hoong Chuin Lau
Efficient order sharing with privacy preservation via double auction with split delivery. CASE (2015)
Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir
Designing a Portfolio of Parameter Configurations for Online Algorithm Selection. AAAI Workshop: Algorithm Configuration (2015)
Truc Viet Le, Siyuan Liu, Hoong Chuin Lau, Ramayya Krishnan
Predicting Bundles of Spatial Locations from Learning Revealed Preference Data. AAMAS (2015)
Aldy Gunawan, Hoong Chuin Lau, Kun Lu
An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows. EvoCOP (2015)
Jiali Du, Shih-Fen Cheng, Hoong Chuin Lau
Designing Bus Transit Services for Routine Crowd Situations at Large Event Venues. ICCL (2015)
Pradeep Varakantham, Hala Mostafa, Na Fu, Hoong Chuin Lau
DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems. AAMAS (2015)
Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra
Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. IJCAI (2015)
Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau
Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS (2015)
Larry J. J. Lin, Shih-Fen Cheng, Hoong Chuin Lau
Building crowd movement model using sample-based mobility survey. WSC (2015)
Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar
Decomposition techniques for urban consolidation problems. CASE (2015)
Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau
Risk Based Optimization for Improving Emergency Medical Systems. AAAI (2015)
Chen Wang, Hoong Chuin Lau, Yun Fong Lim
A Rolling Horizon Auction Mechanism and Virtual Pricing of Shipping Capacity for Urban Consolidation Centers. ICCL (2015)
Qian Li, Hoong Chuin Lau
A Layered Hidden Markov Model for Predicting Human Trajectories in a Multi-floor Building. WI-IAT (2) (2015)
Mustafa Misir, Stephanus Daniel Handoko, Hoong Chuin Lau
OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms. LION (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hoong Chuin Lau