A localized meshless method for diffusion on folded surfaces. - Ka Chun Cheung; Leevan Ling; Steven J. Ruuth (J. Comput. Phys., 2015)

Robust and Pareto optimality of insurance contracts. - Alexandru V. Asimit; Valeria Bignozzi; Ka Chun Cheung; Junlei Hu; Eun-Seok Kim (Eur. J. Oper. Res., 2017)

Multivariate countermonotonicity and the minimal copulas. - Woojoo Lee; Ka Chun Cheung; Jae Youn Ahn (J. Comput. Appl. Math., 2017)

Probabilistic solutions for a class of deterministic optimal allocation problems. - Ka Chun Cheung; Jan Dhaene; Yian Rong; Sheung Chi Phillip Yam (J. Comput. Appl. Math., 2018)

H2-Convergence of Least-Squares Kernel Collocation Methods. - Ka Chun Cheung; Leevan Ling; Robert Schaback (SIAM J. Numer. Anal., 2018)

A Kernel-Based Embedding Method and Convergence Analysis for Surfaces PDEs. - Ka Chun Cheung; Leevan Ling (SIAM J. Sci. Comput., 2018)

Discrete least-squares radial basis functions approximations. - Siqing Li; Leevan Ling; Ka Chun Cheung (Appl. Math. Comput., 2019)

Understanding Top-k Sparsification in Distributed Deep Learning. - Shaohuai Shi; Xiaowen Chu 001; Ka Chun Cheung; Simon See (CoRR, 2019)

Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. - Mingjie Zhou; Michael Ng 001; Zixin Cai; Ka Chun Cheung (ECAI, 2020)

On the uncertainty of VaR of individual risk. - Ka Chun Cheung; Fei Lung Yuen (J. Comput. Appl. Math., 2020)

Recent advance in machine learning for partial differential equation. - Ka Chun Cheung; Simon See (CCF Trans. High Perform. Comput., 2021)

LIFE: Lighting Invariant Flow Estimation. - Zhaoyang Huang; Xiaokun Pan; Runsen Xu; Yan Xu; Ka Chun Cheung; Guofeng Zhang 001; Hongsheng Li 001 (CoRR, 2021)

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. - Xuesong Chen 001; Shaoshuai Shi; Benjin Zhu; Ka Chun Cheung; Hang Xu 004; Hongsheng Li 001 (ECCV (8), 2022)

FlowFormer: A Transformer Architecture for Optical Flow. - Zhaoyang Huang; Xiaoyu Shi 002; Chao Zhang; Qiang Wang 023; Ka Chun Cheung; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (ECCV (17), 2022)

Learning Degradation Representations for Image Deblurring. - Dasong Li; Yi Zhang 108; Ka Chun Cheung; Xiaogang Wang 001; Hongwei Qin; Hongsheng Li 001 (ECCV (18), 2022)

Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. - Dongkyu Lee; Ka Chun Cheung; Nevin L. Zhang (EMNLP, 2022)

Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. - Dongkyu Lee; Zhiliang Tian; Yingxiu Zhao; Ka Chun Cheung; Nevin Lianwen Zhang (EMNLP, 2022)

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. - Yihang Gao; Ka Chun Cheung; Michael K. Ng 001 (SSCI, 2022)

NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. - Tsung-Ming Tai; Oswald Lanz; Giuseppe Fiameni; Yi-Kwan Wong; Sze-Sen Poon; Cheng-Kuang Lee; Ka Chun Cheung; Simon See (CoRR, 2022)

Satisficing credibility for heterogeneous risks. - Ka Chun Cheung; Sheung Chi Phillip Yam; Yiying Zhang 003 (Eur. J. Oper. Res., 2022)

Learning rays via deep neural network in a ray-based IPDG method for high-frequency Helmholtz equations in inhomogeneous media. - Tak Shing Au Yeung; Ka Chun Cheung; Eric T. Chung 001; Shubin Fu; Jianliang Qian (J. Comput. Phys., 2022)

NeuralMarker: A Framework for Learning General Marker Correspondence. - Zhaoyang Huang; Xiaokun Pan; Weihong Pan; Weikang Bian; Yan Xu; Ka Chun Cheung; Guofeng Zhang 001; Hongsheng Li 001 (ACM Trans. Graph., 2022)

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. - Xin He; Jiangchao Yao; Yuxin Wang 003; Zhenheng Tang; Ka Chun Cheung; Simon See; Bo Han 003; Xiaowen Chu 001 (AAAI, 2023)

A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift. - Dasong Li; Xiaoyu Shi 002; Yi Zhang 108; Ka Chun Cheung; Simon See; Xiaogang Wang 001; Hongwei Qin; Hongsheng Li 001 (CVPR, 2023)

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (CVPR, 2023)

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. - Xuesong Chen 001; Shaoshuai Shi; Chao Zhang; Benjin Zhu; Qiang Wang 023; Ka Chun Cheung; Simon See; Hongsheng Li 001 (ICCV, 2023)

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. - Ziyuan Luo; Qing Guo 005; Ka Chun Cheung; Simon See; Renjie Wan (ICCV, 2023)

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Weikang Bian; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (ICCV, 2023)

IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images. - Wenpeng Xing; Jie Chen 026; Ka Chun Cheung; Simon See (ACM Multimedia, 2023)

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. - Sixing Yan; William K. Cheung 001; Wan Hang Keith Chiu; Terence M. Tong; Ka Chun Cheung; Simon See (IEEE Trans. Medical Imaging, 2023)

A Kernel-Based Least-Squares Collocation Method for Surface Diffusion. - Meng Chen 010; Ka Chun Cheung; Leevan Ling (SIAM J. Numer. Anal., 2023)

Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. - Tak Shing Au Yeung; Ka Chun Cheung; Michael K. Ng 001; Simon See; Andy M. Yip (Neural Comput., 2023)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. - Xingzhi Zhou 002; Xin Dong; Chunhao Li; Yuning Bai; Yulong Xu; Ka Chun Cheung; Simon See; Xinpeng Song; Runshun Zhang; Xuezhong Zhou; Nevin L. Zhang (BIBM, 2024)

RegionGPT: Towards Region Understanding Vision Language Model. - Qiushan Guo; Shalini De Mello; Hongxu Yin; Wonmin Byeon; Ka Chun Cheung; Yizhou Yu; Ping Luo 002; Sifei Liu (CVPR, 2024)

AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. - Sixing Yan; William K. Cheung 001; Ivor W. Tsang; Keith Chin; Terence M. Tong; Ka Chun Cheung; Simon See (CVPR, 2024)

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. - Xiufeng Huang; Ka Chun Cheung; Simon See; Renjie Wan (ECCV (9), 2024)

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. - Qi Song 003; Ziyuan Luo; Ka Chun Cheung; Simon See; Renjie Wan (ECCV (11), 2024)

Unlocking Continual Learning Abilities in Language Models. - Wenyu Du; Shuang Cheng; Tongxu Luo; Zihan Qiu; Zeyu Huang; Ka Chun Cheung; Reynold Cheng; Jie Fu 001 (EMNLP (Findings), 2024)

Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images. - Qi Song 003; Ziyuan Luo; Ka Chun Cheung; Simon See; Renjie Wan (NeurIPS, 2024)

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting. - Xiufeng Huang; Ruiqi Li; Yiu-ming Cheung; Ka Chun Cheung; Simon See; Renjie Wan (NeurIPS, 2024)

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. - Xiaoyu Shi 002; Zhaoyang Huang; Fu-Yun Wang; Weikang Bian; Dasong Li; Yi Zhang 108; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (SIGGRAPH (Conference Paper Track), 2024)

Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. - Xingzhi Zhou 002; Zhiliang Tian; Ka Chun Cheung; Simon See; Nevin L. Zhang (CoRR, 2024)

Learning computational upscaling models for a class of convection-diffusion equations. - Tsz Fung Yu; Eric T. Chung 001; Ka Chun Cheung; Lina Zhao 001 (J. Comput. Appl. Math., 2024)

A multi-modal deep language model for contaminant removal from metagenome-assembled genomes. - Bohao Zou; Jingjing Wang; Yi Ding; Zhenmiao Zhang; Yufen Huang; Xiaodong Fang; Ka Chun Cheung; Simon See; Lu Zhang 061 (Nat. Mac. Intell., 2024)

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. - Xuesong Chen 001; Shaoshuai Shi; Tao Ma 002; Jingqiu Zhou; Simon See; Ka Chun Cheung; Hongsheng Li 001 (AAAI, 2025)

Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. - Xingzhi Zhou 002; Zhiliang Tian; Boyang Zhang; Yibo Zhang; Ka Chun Cheung; Simon See; Hao Yang; Yun Zhou; Nevin L. Zhang (AAAI, 2025)

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. - Ruofei Wang; Hongzhan Lin 001; Ziyuan Luo; Ka Chun Cheung; Simon See; Jing Ma 004; Renjie Wan (AAAI, 2025)

One-Minute Video Generation with Test-Time Training. - Karan Dalal; Daniel Koceja; Jiarui Xu; Yue Zhao 006; Shihao Han; Ka Chun Cheung; Jan Kautz; Yejin Choi 001; Yu Sun 020; Xiaolong Wang 004 (CVPR, 2025)

Parallel Sequence Modeling via Generalized Spatial Propagation Network. - Hongjun Wang; Wonmin Byeon; Jiarui Xu; Jinwei Gu; Ka Chun Cheung; Xiaolong Wang 004; Kai Han 001; Jan Kautz; Sifei Liu (CVPR, 2025)

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. - Xingzhi Zhou 002; Boyang Zhang; Zhiliang Tian; Yibo Zhang; Xin Niu 002; Ka Chun Cheung; Simon See; Nevin L. Zhang (ICASSP, 2025)

One-Minute Video Generation with Test-Time Training. - Karan Dalal; Daniel Koceja; Gashon Hussein; Jiarui Xu; Yue Zhao 006; Youjin Song; Shihao Han; Ka Chun Cheung; Jan Kautz; Carlos Guestrin; Tatsunori Hashimoto; Sanmi Koyejo; et al. (CoRR, 2025)

Minimum-norm interpolation for unknown surface reconstruction. - Alex Shiu Lun Chu; Leevan Ling; Ka Chun Cheung (CoRR, 2025)

Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction. - Xiufeng Huang; Ka Chun Cheung; Runmin Cong; Simon See; Renjie Wan (CoRR, 2025)