Ka Chun Cheung

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Neural Architecture

Top Venues

J. Comput. Appl. Math.

Publications

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 (2024)
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. CoRR (2024)
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)
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. ICCV (2023)
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)
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)
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 (2023)
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)
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 (2023)
Meng Chen, Ka Chun Cheung, Leevan Ling
A Kernel-Based Least-Squares Collocation Method for Surface Diffusion. SIAM J. Numer. Anal. 61 (3) (2023)
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) (2023)
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 (2023)
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) (2023)
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)
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. CoRR (2023)
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)
Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li
Learning Degradation Representations for Image Deblurring. CoRR (2022)
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. CoRR (2022)
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)
Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li
Learning Degradation Representations for Image Deblurring. ECCV (18) (2022)
Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. EMNLP (2022)
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)
Ka Chun Cheung, Sheung Chi Phillip Yam, Yiying Zhang
Satisficing credibility for heterogeneous risks. Eur. J. Oper. Res. 298 (2) (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2022)
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 (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI (2022)
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) (2022)
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 (2022)
Meng Chen, Ka Chun Cheung, Leevan Ling
A kernel-based least-squares collocation method for surface diffusion. CoRR (2021)
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 (2021)
Ka Chun Cheung, Simon See
Recent advance in machine learning for partial differential equation. CCF Trans. High Perform. Comput. 3 (3) (2021)
Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung
Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. ECAI (2020)
Ka Chun Cheung, Fei Lung Yuen
On the uncertainty of VaR of individual risk. J. Comput. Appl. Math. 367 (2020)
Siqing Li, Leevan Ling, Ka Chun Cheung
Discrete least-squares radial basis functions approximations. Appl. Math. Comput. 355 (2019)
Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See
Understanding Top-k Sparsification in Distributed Deep Learning. CoRR (2019)
Ka Chun Cheung, Leevan Ling
A Kernel-Based Embedding Method and Convergence Analysis for Surfaces PDEs. SIAM J. Sci. Comput. 40 (1) (2018)
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 (2018)
Ka Chun Cheung, Leevan Ling, Robert Schaback
-Convergence of Least-Squares Kernel Collocation Methods. SIAM J. Numer. Anal. 56 (1) (2018)
Woojoo Lee, Ka Chun Cheung, Jae Youn Ahn
Multivariate countermonotonicity and the minimal copulas. J. Comput. Appl. Math. 317 (2017)
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) (2017)
Ka Chun Cheung, Leevan Ling, Steven J. Ruuth
A localized meshless method for diffusion on folded surfaces. J. Comput. Phys. 297 (2015)