Byungsoo Jeon

According to our database, Byungsoo Jeon authored at least 12 papers between 2015 and 2024.

Collaborative distances:

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

2024

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism.

Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia

CoRR, 2024

2022

SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations.

Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

Collage: Seamless Integration of Deep Learning Backends with Automatic Placement.

Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Collage: Automated Integration of Deep Learning Backends.

Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia

CoRR, 2021

2020

Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos.

Byungsoo Jeon, Namyong Park

CoRR, 2020

Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning.

Byungsoo Jeon, Namyong Park, Seojin Bang

CoRR, 2020

2019

Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States.

Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Attentive Interaction Model: Modeling Changes in View in Argumentation.

Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Music Emotion Recognition via End-to-End Multimodal Neural Networks.

Byungsoo Jeon, Chanju Kim, Adrian Kim, Dongwon Kim, Jangyeon Park, JungWoo Ha

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2016

SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries.

Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

BIGtensor: Mining Billion-Scale Tensor Made Easy.

Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

TeGViz: Distributed Tera-Scale Graph Generation and Visualization.

Byungsoo Jeon, Inah Jeon, U Kang

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015