13 citations · 18 across the 10 of their papers we have counts for
10 papers
Evaluating Deep Clustering Algorithms on Non-Categorical 3D CAD Models
Siyuan Xiang, Chin Tseng, Congcong Wen +5
We introduce the first work on benchmarking and evaluating deep clustering algorithms on large-scale non-categorical 3D CAD models. We first propose a workflow to allow expert mech…
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery
Yunqing Li, Binil Starly
Sourcing and identification of new manufacturing partners is crucial for manufacturing system integrators to enhance agility and reduce risk through supply chain diversification in…
Manufacturing Service Capability Prediction with Graph Neural Networks
Yunqing Li, Xiaorui Liu, Binil Starly
In the current landscape, the predominant methods for identifying manufacturing capabilities from manufacturers rely heavily on keyword matching and semantic matching. However, the…
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source
Aman Kumar, Akshay G Bharadwaj, Binil Starly +1
As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge. The develop…
Mechanism Design for Stable Matching with Contracts in a Dynamic Manufacturing-as-a-Service (MaaS) Marketplace
Deepak Pahwa, Umut Dur, Binil Starly
Two-sided manufacturing-as-a-service (MaaS) marketplaces connect clients requesting manufacturing services to suppliers providing those services. Matching mechanisms i.e. allocatio…
Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
Binil Starly, Atin Angrish, Paul Cohen
The digitalization of manufacturing has created opportunities for consumers to customize products that fit their individualized needs which in turn would drive demand for manufactu…