Kyungjun Lee

kjlee(at)cs(dot)umd(dot)edu

Hello, I am a Ph.D. student in Computer Science at University of Maryland, College Park, and a member of Intelligent Assistant Machines Lab, advised by Hernisa Kacorri.

My research on Teachable Interfaces through Human-Centered Artificial Intelligence focuses on enhancing AI by involving humans in the loop and building AI-powered systems to empower people with and without disabilities, which combines methods from machine learning and human-computer interaction. My current project is to design a Teachable Object Recognizer for blind people using deep learning models.

Publications

Hands Holding Clues for Object Recognition in Teachable Machines

Kyungjun Lee, Hernisa Kacorri

Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019
[paper]
Exploring Machine Teaching for Object Recognition with the Crowd

Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri

Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019
[paper]
Gesture and Action Discovery for Evaluating Virtual Environments with Semi-Supervised Segmentation of Telemetry Records

Andrea Batch, Kyungjun Lee, Hanuma Teja Maddali, Niklas Elmqvist

Proceedings of IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018
[paper]
Texture Synthesis with Recurrent Variational Auto-Encoder

Rohan Chandra, Sachin Grover, Kyungjun Lee, Moustafa Meshry, Ahmed Taha

arXiv preprint, 2017 (*authors are alphabetically ordered)
[paper]
Performance implications of cache flushes for non-volatile memory file systems

Kyungjun Lee, Sungtae Ryu, Hwansoo Han

Proceedings of ACM Symposium on Applied Computing (SAC), 2015
[paper]
In-memory write-ahead logging for mobile smart devices with NVRAM

Sungtae Ryu, Kyungjun Lee, Hwansoo Han

IEEE Transactions on Consumer Electronics (TCE), 2015
[paper]