Jing Jin

schoolGooglebar_chart#6588 Global Rank

Total Papers

HCI Rank

#6588

Research Areas

Years Active

Recent Publications

InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs

Visual programming has the potential of providing novice programmers with a low-code experience to build customized processing pipelines. Existing systems typically require users to build pipelines from scratch, implying that novice users are expected to set up and link appropriate nodes from a blank workspace. In thi…

CHI '233rd AuthorHonorable MentionHuman-LLM Collaboration +1

Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming

In recent years, there has been a proliferation of multimedia applications that leverage machine learning (ML) for interactive experiences. Prototyping ML-based applications is, however, still challenging, given complex workflows that are not ideal for design and experimentation. To better understand these challenges,…

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