activity
20122026
most citedRobust Local Search for Solving RCPSP/max with Durational Uncertainty

35 citations · 119 across the 20 of their papers we have counts for

collaborators

20 papers

cs.DB2026

Schema-Agnostic Process Trace Construction: From Raw Tables to Execution Behavior

Joel Lim Zhi Quan, Tan Kar Way, Lau Hoong Chuin

Traditional information systems (IS) engineering assumes stable schemas, explicit keys, and curated event logs. In modern OLTP environments, schemas drift, keys are sparse, and exe…

cs.LG2025

Probing Neural Combinatorial Optimization Models

Zhiqin Zhang, Yining Ma, Zhiguang Cao +1

Neural combinatorial optimization (NCO) has achieved remarkable performance, yet its learned model representations and decision rationale remain a black box. This impedes both acad…

math.OC2025

A Nurse Staffing and Scheduling Problem with Bounded Flexibility and Demand Uncertainty

Si Zhang, Paul Mingzheng Tang, Hoong Chuin Lau

Nurse staffing and scheduling are persistent challenges in healthcare due to demand fluctuations and individual nurse preferences. This study introduces the concept of bounded flex…

quant-ph2025

A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems

Monit Sharma, Hoong Chuin Lau

Quantum optimization holds promise for addressing classically intractable combinatorial problems, yet a standardized framework for benchmarking its performance, particularly in ter…

quant-ph2024

Quantum Monte Carlo methods for Newsvendor problem with Multiple Unreliable Suppliers

Monit Sharma, Hoong Chuin Lau

In the post-pandemic world, manufacturing enterprises face increasing uncertainties, especially with vulnerabilities in global supply chains. Although supply chain management has b…

cs.CL2024

Automated Conversion of Static to Dynamic Scheduler via Natural Language

Paul Mingzheng Tang, Kenji Kah Hoe Leong, Nowshad Shaik +1

In this paper, we explore the potential application of Large Language Models (LLMs) that will automatically model constraints and generate code for dynamic scheduling problems give…