Zhiguang Cao
Scholar

Zhiguang Cao

Google Scholar ID: 2R-cOkYAAAAJ
Singapore Management University
Learning to OptimizeNeural Combinatorial OptimizationComputational Intelligence
Citations & Impact
All-time
Citations
6,569
 
H-index
40
 
i10-index
78
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Named in Stanford University’s 'World’s Top 2% Scientists' list in 2024
  • Published numerous papers on L2Opt at top-tier conferences including NeurIPS, ICML, SIGKDD, IJCAI, AAAI, ICLR, ACM MM, and TheWebConf
  • Published multiple journal papers on L2Opt in TKDE, IEEE TII, T-ASE, CAOR, IJPR, JCLP, Neural Networks, TELO, and IJPE
  • Serving as Area Chair or Senior Program Committee member for major conferences: NeurIPS'25, ICML'25, SIGKDD'25/26, ICLR'26, AAAI'26, IJCAI'25
  • Associate Editor for IEEE Transactions on Industrial Informatics (TII)
  • Delivered a keynote talk at the ECML PKDD workshop in September 2025
Background
  • Assistant Professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU)
  • Leading the L2Opt Group focusing on Learning to Optimize (L2Opt)
  • Research interests include Deep Reinforcement Learning, Deep Learning, and Large Language Models (LLM)
  • Explores AI-driven solutions to combinatorial optimization problems such as Vehicle Routing, Job Shop Scheduling, and Bin Packing
  • Works at the intersection of Artificial Intelligence and Operations Research with applications in logistics, transportation, and robotics