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2020 – today
- 2023
[i12]Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. CoRR abs/2303.01237 (2023)- [i11]Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. CoRR abs/2303.08340 (2023) - 2022
- [j12]Ka Chun Cheung, Sheung Chi Phillip Yam, Yiying Zhang
:
Satisficing credibility for heterogeneous risks. Eur. J. Oper. Res. 298(2): 752-768 (2022) - [j11]Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian:
Learning rays via deep neural network in a ray-based IPDG method for high-frequency Helmholtz equations in inhomogeneous media. J. Comput. Phys. 465: 111380 (2022) - [j10]Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li:
NeuralMarker: A Framework for Learning General Marker Correspondence. ACM Trans. Graph. 41(6): 271:1-271:10 (2022) - [c7]Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li:
FlowFormer: A Transformer Architecture for Optical Flow. ECCV (17) 2022: 668-685 - [c6]Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li:
MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. ECCV (8) 2022: 680-697 - [c5]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. ECCV (18) 2022: 736-753 - [c4]Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang:
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. EMNLP 2022: 9781-9792 - [c3]Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Lianwen Zhang:
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. EMNLP 2022: 9793-9803 - [c2]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI 2022: 1443-1450 - [i10]Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li:
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. CoRR abs/2205.05979 (2022) - [i9]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. CoRR abs/2208.05244 (2022) - [i8]Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li:
NeuralMarker: A Framework for Learning General Marker Correspondence. CoRR abs/2209.08896 (2022) - [i7]Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin L. Zhang:
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. CoRR abs/2210.12427 (2022) - [i6]Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang:
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. CoRR abs/2210.13459 (2022) - [i5]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR abs/2211.08760 (2022) - [i4]Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR abs/2211.12759 (2022) - 2021
- [j9]Ka Chun Cheung, Simon See:
Recent advance in machine learning for partial differential equation. CCF Trans. High Perform. Comput. 3(3): 298-310 (2021) - [i3]Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian:
Learning Rays via Deep Neural Network in a Ray-based IPDG Method for High-Frequency Helmholtz Equations in Inhomogeneous Media. CoRR abs/2106.10523 (2021) - [i2]Meng Chen, Ka Chun Cheung, Leevan Ling:
A kernel-based least-squares collocation method for surface diffusion. CoRR abs/2109.03409 (2021) - 2020
- [j8]Ka Chun Cheung, Fei Lung Yuen:
On the uncertainty of VaR of individual risk. J. Comput. Appl. Math. 367 (2020) - [c1]Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung:
Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. ECAI 2020: 2832-2839
2010 – 2019
- 2019
- [j7]Siqing Li, Leevan Ling, Ka Chun Cheung:
Discrete least-squares radial basis functions approximations. Appl. Math. Comput. 355: 542-552 (2019) - [i1]Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See:
Understanding Top-k Sparsification in Distributed Deep Learning. CoRR abs/1911.08772 (2019) - 2018
- [j6]Ka Chun Cheung, Jan Dhaene, Yian Rong, Sheung Chi Phillip Yam:
Probabilistic solutions for a class of deterministic optimal allocation problems. J. Comput. Appl. Math. 336: 394-407 (2018) - [j5]Ka Chun Cheung, Leevan Ling, Robert Schaback:
H2-Convergence of Least-Squares Kernel Collocation Methods. SIAM J. Numer. Anal. 56(1): 614-633 (2018) - [j4]Ka Chun Cheung, Leevan Ling:
A Kernel-Based Embedding Method and Convergence Analysis for Surfaces PDEs. SIAM J. Sci. Comput. 40(1) (2018) - 2017
- [j3]Alexandru V. Asimit, Valeria Bignozzi, Ka Chun Cheung, Junlei Hu, Eun-Seok Kim:
Robust and Pareto optimality of insurance contracts. Eur. J. Oper. Res. 262(2): 720-732 (2017) - [j2]Woojoo Lee, Ka Chun Cheung, Jae Youn Ahn:
Multivariate countermonotonicity and the minimal copulas. J. Comput. Appl. Math. 317: 589-602 (2017) - 2015
- [j1]Ka Chun Cheung, Leevan Ling, Steven J. Ruuth:
A localized meshless method for diffusion on folded surfaces. J. Comput. Phys. 297: 194-206 (2015)
Coauthor Index
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last updated on 2023-03-22 02:19 CET by the dblp team
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