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2020 – today
- 2024
[i6]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:
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR abs/2406.17145 (2024)- 2022
- [c8]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT 2022: 517-529 - [c7]Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke:
SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. CGO 2022: 118-130 - 2021
- [i5]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Automated Integration of Deep Learning Backends. CoRR abs/2111.00655 (2021) - 2020
- [i4]Byungsoo Jeon, Namyong Park, Seojin Bang:
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning. CoRR abs/2002.01598 (2020) - [i3]Byungsoo Jeon, Namyong Park:
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos. CoRR abs/2002.01955 (2020)
2010 – 2019
- 2019
- [c6]Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé:
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. EDM 2019 - [i2]Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé
:
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. CoRR abs/1905.00422 (2019) - 2018
- [c5]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. NAACL-HLT 2018: 103-116 - [i1]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. CoRR abs/1804.00065 (2018) - 2017
- [c4]Byungsoo Jeon, Chanju Kim, Adrian Kim, Dongwon Kim, Jangyeon Park, JungWoo Ha:
Music Emotion Recognition via End-to-End Multimodal Neural Networks. RecSys Posters 2017 - 2016
- [c3]Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang:
BIGtensor: Mining Billion-Scale Tensor Made Easy. CIKM 2016: 2457-2460 - [c2]Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang:
SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. ICDE 2016: 811-822 - 2015
- [c1]Byungsoo Jeon, Inah Jeon, U Kang:
TeGViz: Distributed Tera-Scale Graph Generation and Visualization. ICDM Workshops 2015: 1620-1623
Coauthor Index
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