Ngai Wong

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 124

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ASICON

DATE

Publications

Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference. ICLR (2024)
Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR (2024)
Tianshu Hou, Yuan Ren, Wenyong Zhou, Can Li, Zhongrui Wang, Hai-Bao Chen, Ngai Wong
Physics-Informed Learning for Versatile RRAM Reset and Retention Simulation. ASPDAC (2024)
Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference. CoRR (2024)
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR (2024)
Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong
Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator. CoRR (2024)
Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang
Taming Lookup Tables for Efficient Image Retouching. CoRR (2024)
Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. CoRR (2024)
Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. NAACL-HLT (2024)
Boyu Li, Kai Li, Jiajun Zhou, Yuan Ren, Wei Mao, Hao Yu, Ngai Wong
A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu, Ngai Wong
An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design. DATE (2024)
Wenbo Qi, Wenyong Zhou, Ngai Wong, S. C. Chan
Hybrid Module with Multiple Receptive Fields and Self-Attention Layers for Medical Image Segmentation. ICASSP (2024)
Yipeng Du, Yuan Ren, Ngai Wong, Edith C. H. Ngai
Hyperdimensional Computing With Multiscale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection. IEEE Internet Things J. 11 (15) (2024)
Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. AAAI (2024)
Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong
Nonparametric Teaching of Implicit Neural Representations. CoRR (2024)
Binxiao Huang, Jason Chun Lok Li, Chang Liu, Ngai Wong
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. CoRR (2024)
Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
Mixture-of-Subspaces in Low-Rank Adaptation. CoRR (2024)
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. CoRR (2024)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, H. Vincent Poor
Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach. IEEE Trans. Signal Process. 72 (2024)
Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong
Lite it fly: An All-Deformable-Butterfly Network. CoRR (2023)
Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. CoRR (2023)
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR (2023)
Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. CoRR (2023)
Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong
A Unifying Tensor View for Lightweight CNNs. ASICON (2023)
Tianshu Hou, Ngai Wong, Quan Chen, Zhigang Ji, Hai-Bao Chen
Analytical Post-Voiding Modeling and Efficient Characterization of EM Failure Effects Under Time-Dependent Current Stressing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (12) (2023)
Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So
MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. FCCM (2023)
Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) (2023)
Changhai Man, Cheng Chang, Chenchen Ding, Ao Shen, Hongwei Ren, Ziyi Guan, Yuan Cheng, Shaobo Luo, Rumin Zhang, Ngai Wong, Hao Yu
RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge. DATE (2023)
Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. CoRR (2023)
Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. CoRR (2023)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Tensor train factorization under noisy and incomplete data with automatic rank estimation. Pattern Recognit. 141 (2023)
Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong
A Unifying Tensor View for Lightweight CNNs. CoRR (2023)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion. CoRR (2023)
Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
PECAN: A Product-Quantized Content Addressable Memory Network. DATE (2023)
Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang
Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR (2023)
Wenyong Zhou, Yuan Ren, Jiajun Zhou, Tianshu Hou, Ngai Wong
A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips. ASICON (2023)
Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong
A Spectral Perspective towards Understanding and Improving Adversarial Robustness. CoRR (2023)
Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong
Gradually Excavating External Knowledge for Implicit Complex Question Answering. EMNLP (Findings) (2023)
Tianshu Hou, Peining Zhen, Ngai Wong, Quan Chen, Guoyong Shi, Shuqi Wang, Hai-Bao Chen
Multilayer Perceptron-Based Stress Evolution Analysis Under DC Current Stressing for Multisegment Wires. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. AAAI (2023)
Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
Multimodal Transformer for Automatic 3D Annotation and Object Detection. CoRR (2022)
Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong
FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation. WACV (2022)
Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
EZCrop: Energy-Zoned Channels for Robust Output Pruning. WACV (2022)
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. CoRR (2022)
Chaofan Tao, Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization. CoRR (2022)
Tianshu Hou, Ngai Wong, Quan Chen, Zhigang Ji, Hai-Bao Chen
A Space-Time Neural Network for Analysis of Stress Evolution Under DC Current Stressing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Chaofan Tao, Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization. ICPR (2022)
Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. CoRR (2022)
Tianshu Hou, Peining Zhen, Ngai Wong, Quan Chen, Guoyong Shi, Shuqi Wang, Hai-Bao Chen
Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires. CoRR (2022)
Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. ICPR (2022)
Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
PECAN: A Product-Quantized Content Addressable Memory Network. CoRR (2022)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization. CoRR (2022)
Rui Lin, Cong Chen, Ngai Wong
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. ICPR (2022)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) (2022)
Rui Lin, Cong Chen, Ngai Wong
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. CoRR (2022)
Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
Kernelized support tensor train machines. Pattern Recognit. 122 (2022)
Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. CoRR (2022)
Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
Fast Classification and Action Recognition With Event-Based Imaging. IEEE Access 10 (2022)
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
Frequency Regularization for Improving Adversarial Robustness. CoRR (2022)
Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
Multimodal Transformer for Automatic 3D Annotation and Object Detection. ECCV (38) (2022)
Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
EZCrop: Energy-Zoned Channels for Robust Output Pruning. CoRR (2021)
Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. ASICON (2021)
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. CoRR (2021)
Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation. WACV (2021)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. ICDM (2021)
Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. NeurIPS (2021)
Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. CoRR (2021)
Cong Chen, Chaofan Tao, Ngai Wong
LiteGT: Efficient and Lightweight Graph Transformers. CIKM (2021)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data. SSP (2021)
Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Ziyi Guan, Shuwei Li, Yuan Cheng, Changhai Man, Wei Mao, Ngai Wong, Hao Yu
A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices. DATE (2021)
Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision. CoRR (2021)
Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. ICPR (2020)
Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation. CoRR (2020)
Yuan Cheng, Guangtai Huang, Peining Zhen, Bin Liu, Hai-Bao Chen, Ngai Wong, Hao Yu
An Anomaly Comprehension Neural Network for Surveillance Videos on Terminal Devices. DATE (2020)
Yuan Cheng, Guangya Li, Ngai Wong, Hai-Bao Chen, Hao Yu
DEEPEYE: A Deeply Tensor-Compressed Neural Network for Video Comprehension on Terminal Devices. ACM Trans. Embed. Comput. Syst. 19 (3) (2020)
Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. 29 (2020)
Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
Kernelized Support Tensor Train Machines. CoRR (2020)
Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong
Learn to Floorplan through Acquisition of Effective Local Search Heuristics. ICCD (2020)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI (2020)
Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. CoRR (2020)
Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam, Ngai Wong
A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano. ASSETS (2020)
Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR (2019)
Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML (2019)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
Matrix Product Operator Restricted Boltzmann Machines. IJCNN (2019)
Kim Batselier, Andrzej Cichocki, Ngai Wong
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR (2019)
Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong
MiSC: Mixed Strategies Crowdsourcing. CoRR (2019)
Kim Batselier, Ching-Yun Ko, Ngai Wong
Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification. CDC (2019)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR (2019)
Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong
MiSC: Mixed Strategies Crowdsourcing. IJCAI (2019)
Yuan Cheng, Ngai Wong, Xiong Liu, Leibin Ni, Hai-Bao Chen, Hao Yu
A Low-Power High-Throughput In-Memory CMOS-ReRAM Accelerator for Large-Scale Deep Residual Neural Networks. ASICON (2019)
Yuan Cheng, Guangya Li, Ngai Wong, Hai-Bao Chen, Hao Yu
DEEPEYE: A Deeply Tensor-Compressed Neural Network Hardware Accelerator: Invited Paper. ICCAD (2019)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
A Support Tensor Train Machine. IJCNN (2019)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
Matrix Product Operator Restricted Boltzmann Machines. CoRR (2018)
Ching Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong
Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach. CoRR (2018)
Cong Chen, Kim Batselier, Ching Yun Ko, Ngai Wong
A Support Tensor Train Machine. CoRR (2018)
Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. SIAM J. Matrix Anal. Appl. 39 (3) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ngai Wong