Wong, Ngai

23 publications

TMLR 2025 A Survey on the Honesty of Large Language Models Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam
TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong
CVPR 2025 DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables Sidi Yang, Binxiao Huang, Yulun Zhang, Dahai Yu, Yujiu Yang, Ngai Wong
IJCAI 2025 Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong
ICML 2025 Nonparametric Teaching for Graph Property Learners Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik Chung Wu, Ngai Wong
ICML 2025 ParallelComp: Parallel Long-Context Compressor for Length Extrapolation Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
ICCV 2025 Perspective-Aware 3D Gaussian Inpainting with Multi-View Consistency Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong
IJCAI 2025 Poisoning-Based Backdoor Attacks for Arbitrary Target Label with Positive Triggers Binxiao Huang, Ngai Wong
ICLR 2024 ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
IJCAI 2024 Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
AAAI 2024 Learning Spatially Collaged Fourier Bases for Implicit Neural Representation Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong
ICML 2024 Nonparametric Teaching of Implicit Neural Representations Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik Chung Wu, Ngai Wong
NeurIPS 2024 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
ECCV 2024 Taming Lookup Tables for Efficient Image Retouching Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang
AAAI 2023 Context-Aware Transformer for 3D Point Cloud Automatic Annotation Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
WACV 2022 EZCrop: Energy-Zoned Channels for Robust Output Pruning Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
WACV 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong
ECCV 2022 Multimodal Transformer for Automatic 3D Annotation and Object Detection Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong
NeurIPS 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
WACV 2021 S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
AAAI 2020 Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
IJCAI 2019 MiSC: Mixed Strategies Crowdsourcing Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong
ICML 2019 POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin