Haeyong Kang

23 papers A* 5B 3Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Continual Learning: Forget-Free Winning Subnetworks for Video Representations.
IEEE Trans. Pattern Anal. Mach. Intell.
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2025 J jnl
Mixtures of SubExperts for Large Language Continual Learning.
CoRR
Haeyong Kang
2024 J jnl
On the Perturbed States for Transformed Input-robust Reinforcement Learning.
CoRR
Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo
2024 A* conf
Progressive Fourier Neural Representation for Sequential Video Compilation.
ICLR
Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
2024 J jnl
Soft-TransFormers for Continual Learning.
CoRR
Haeyong Kang, Chang D. Yoo
2023 J jnl
Continual Learning: Forget-free Winning Subnetworks for Video Representations.
CoRR
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
Forget-free Continual Learning with Soft-Winning SubNetworks.
CoRR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
Maximum margin learning of t-SPNs for cell classification with filtered input.
CoRR
Haeyong Kang, Chang D. Yoo, Yongcheon Na
2023 A* conf
On the Soft-Subnetwork for Few-Shot Class Incremental Learning.
ICLR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
Progressive Neural Representation for Sequential Video Compilation.
CoRR
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation.
Mach. Learn. Knowl. Extr.
Haeyong Kang, Chang D. Yoo
2023 J jnl
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation.
CoRR
Haeyong Kang, Chang D. Yoo
2022 A* conf
Forget-free Continual Learning with Winning Subnetworks.
ICML
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
2022 J jnl
Learning Imbalanced Datasets with Maximum Margin Loss.
CoRR
Haeyong Kang, Thang Vu, Chang D. Yoo
2022 J jnl
On the Soft-Subnetwork for Few-shot Class Incremental Learning.
CoRR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2021 B conf
Learning Imbalanced Datasets With Maximum Margin Loss.
ICIP
Haeyong Kang, Thang Vu, Chang D. Yoo
2021 A* conf
SCNet: Training Inference Sample Consistency for Instance Segmentation.
AAAI
Thang Vu, Haeyong Kang, Chang D. Yoo
2021 A* conf
Semantic Grouping Network for Video Captioning.
AAAI
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
2021 J jnl
Semantic Grouping Network for Video Captioning.
CoRR
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
2021 B conf
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection.
ICIP
Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo
2020 J jnl
SCNet: Training Inference Sample Consistency for Instance Segmentation.
CoRR
Thang Vu, Haeyong Kang, Chang D. Yoo
2019 B conf
Few-Shot Associative Domain Adaptation for Surface Normal Estimation.
ICIP
Haeyong Kang, Gwangsu Kim, Chang Dong Yoo
2016 J jnl
Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input.
IEEE J. Sel. Top. Signal Process.
Haeyong Kang, Chang D. Yoo, Yongcheon Na