We stand with Ukraine

We stand with Ukraine

Sungjun Cho

Orcid: 0000-0002-8609-6183

According to our database¹, Sungjun Cho authored at least 18 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024

Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory.

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CoRR, 2024

Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory.

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Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

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CoRR, 2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.

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Dae-Woong Jeong

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CoRR, 2023

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning.

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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM.

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Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.

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Dae-Woong Jeong

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pure Transformers are Powerful Graph Learners.

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Tien Dat Nguyen

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CoRR, 2022

Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack.

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IEEE Comput. Archit. Lett., 2022

Pure Transformers are Powerful Graph Learners.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Equivariant Hypergraph Neural Networks.

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Proceedings of the Computer Vision - ECCV 2022, 2022

2021

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference.

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Proceedings of the 38th International Conference on Machine Learning, 2021

Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices.

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Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Real-Time Object Detection System with Multi-Path Neural Networks.

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Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020

2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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