Hyun Joon Jung

According to our database, Hyun Joon Jung authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning.

Jing Shi, Wei Xiong, Zhe Lin, Hyun Joon Jung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2019

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams.

Richard Chen, Filip Jankovic, Nikki Marinsek, Luca Foschini, Lampros Kourtis, Alessio Signorini, Melissa Pugh, Jie Shen, Roy Yaari, Vera Maljkovic, Marc Sunga, Han Hee Song, Hyun Joon Jung, Belle L. Tseng, Andrew Trister

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2015

Modeling Temporal Crowd Work Quality with Limited Supervision.

Hyun Joon Jung, Matthew Lease

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

A Discriminative Approach to Predicting Assessor Accuracy.

Hyun Joon Jung, Matthew Lease

Proceedings of the Advances in Information Retrieval, 2015

2014

Quality assurance in crowdsourcing via matrix factorization based task routing.

Hyun Joon Jung

Proceedings of the 23rd International World Wide Web Conference, 2014

Predicting Next Label Quality: A Time-Series Model of Crowdwork.

Hyun Joon Jung, Yubin Park, Matthew Lease

Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing, 2014

2013

Crowdsourced Task Routing via Matrix Factorization.

Hyun Joon Jung, Matthew Lease

CoRR, 2013

2012

Evaluating Classifiers Without Expert Labels

Hyun Joon Jung, Matthew Lease

CoRR, 2012

Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization.

Hyun Joon Jung, Matthew Lease

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Improving Quality of Crowdsourced Labels via Probabilistic Matrix Factorization.

Hyun Joon Jung, Matthew Lease

Proceedings of the 4th Human Computation Workshop, 2012

2011

A Binary Stock Event Model for stock trends forecasting: Forecasting stock trends via a simple and accurate approach with machine learning.

Hyun Joon Jung, J. K. Aggarwal

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Improving Consensus Accuracy via Z-Score and Weighted Voting.

Hyun Joon Jung, Matthew Lease

Proceedings of the Human Computation, 2011