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2020 – today
- 2024
[j16]Tsz Fung Yu, Eric T. Chung
, Ka Chun Cheung, Lina Zhao:
Learning computational upscaling models for a class of convection-diffusion equations. J. Comput. Appl. Math. 445: 115814 (2024)- [c18]Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu:
RegionGPT: Towards Region Understanding Vision Language Model. CVPR 2024: 13796-13806 - [c17]Sixing Yan, William K. Cheung, Ivor W. Tsang, Keith Chin, Terence M. Tong, Ka Chun Cheung, Simon See:
AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. CVPR 2024: 14324-14333 - [c16]Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan:
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. ECCV (9) 2024: 438-454 - [c15]Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. SIGGRAPH (Conference Paper Track) 2024: 111 - [i24]Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang:
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. CoRR abs/2401.14619 (2024) - [i23]Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. CoRR abs/2401.15977 (2024) - [i22]Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu:
RegionGPT: Towards Region Understanding Vision Language Model. CoRR abs/2403.02330 (2024) - [i21]Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu:
Unlocking Continual Learning Abilities in Language Models. CoRR abs/2406.17245 (2024) - [i20]Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan:
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. CoRR abs/2407.07735 (2024) - [i19]Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang:
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. CoRR abs/2407.10510 (2024) - [i18]Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan:
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. CoRR abs/2407.13390 (2024) - 2023
- [j15]Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip:
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. Neural Comput. 35(10): 1678-1712 (2023) - [j14]Meng Chen, Ka Chun Cheung, Leevan Ling:
A Kernel-Based Least-Squares Collocation Method for Surface Diffusion. SIAM J. Numer. Anal. 61(3): 1386-1404 (2023) - [j13]Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. IEEE Trans. Medical Imaging 42(8): 2211-2222 (2023) - [c14]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. AAAI 2023: 7839-7847 - [c13]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. CVPR 2023: 1599-1610 - [c12]Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift. CVPR 2023: 9822-9832 - [c11]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. ICCV 2023: 12435-12446 - [c10]Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li:
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. ICCV 2023: 18481-18490 - [c9]Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan:
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. ICCV 2023: 22344-22354 - [c8]Wenpeng Xing, Jie Chen, Ka Chun Cheung, Simon See:
IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images. ACM Multimedia 2023: 2644-2653 - [i17]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) - [i16]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) - [i15]Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li:
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. CoRR abs/2306.05888 (2023) - [i14]Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan:
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. CoRR abs/2307.11526 (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 - [i13]Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li:
FlowFormer: A Transformer Architecture for Optical Flow. CoRR abs/2203.16194 (2022) - [i12]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) - [i11]Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni, Yi-Kwan Wong, Sze-Sen Poon, Cheng-Kuang Lee, Ka Chun Cheung, Simon See:
NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. CoRR abs/2206.10869 (2022) - [i10]Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. CoRR abs/2208.05244 (2022) - [i9]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) - [i8]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) - [i7]Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang:
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. CoRR abs/2210.13459 (2022) - [i6]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) - [i5]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) - [i4]Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li:
LIFE: Lighting Invariant Flow Estimation. CoRR abs/2104.03097 (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 2024-11-05 21:59 CET by the dblp team
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