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Hongliang Li

4 papers hereh-index 319 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • cs.RO1
  • math.OC1
same name
  • Hongliang Li — 17 papers, h 5
  • Hongliang Li — 7 papers, h 3
  • Hongliang Li — 6 papers, h 10
  • Hongliang Li — 3 papers, h 2
  • Hongliang Li — 3 papers, h 6
  • Hongliang Li — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.RO2026

CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models

Jiabao Zhao, Jonghan Lim, Hongliang Li +1

With increasing demand for mass customization, traditional manufacturing robots that rely on rule-based operations lack the flexibility to accommodate customized or new product var…

eess.SY2026

Energy-Aware Integrated Proactive Maintenance Planning and Production Scheduling

Hongliang Li, Herschel C. Pangborn, Ilya Kovalenko

Demand-side energy management, such as the real-time pricing (RTP) program, offers manufacturers opportunities to reduce energy costs by shifting production to low-price hours. How…

eess.SY2025

Bi-level Model Predictive Control for Energy-aware Integrated Product Pricing and Production Scheduling

Hongliang Li, Herschel C. Pangborn, Ilya Kovalenko

The manufacturing industry is under growing pressure to enhance sustainability while preserving economic competitiveness. As a result, manufacturers have been trying to determine h…

math.OC2025

Energy-Aware Model Predictive Control for Batch Manufacturing System Scheduling Under Different Electricity Pricing Strategies

Hongliang Li, Herschel C. Pangborn, Ilya Kovalenko

Manufacturing industries are among the highest energy-consuming sectors, facing increasing pressure to reduce energy costs. This paper presents an energy-aware Model Predictive Con…

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