| 2026 | ACL | D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation. | Junlin Li, Shuangyong Song, Guodong Du, Ngai Wong, Xuebo Liu, Yongxiang Li, Min Zhang, Jing Li, Xuelong Li |
| 2026 | ACL | Revisiting Model Interpolation for Efficient Reasoning. | Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Ngai Wong |
| 2026 | ACL | Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models. | He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Zunhai Su, Runming Yang, Haobo Liu, Wenyong Zhou, Zhengwu Liu, Ngai Wong |
| 2026 | ACL | Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation. | Hengyuan Zhang, Shiping Yang, Xiao Liang, Chenming Shang, Yuxuan Jiang, Chaofan Tao, Jing Xiong, Hayden Kwok-Hay So, Ruobing Xie, Angel X. Chang, Ngai Wong |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | ASPDAC | Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing. | Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong |
| 2026 | ASPDAC | A Unified Compute-In-Memory Framework for Multisensory Emotion Recognition. | He Xiao, Yue Zhou, Dirui Xie, Qi Cheng, Xiaofang Hu, Zhengwu Liu, Ngai Wong |
| 2026 | DATE | Noise-Aware Adaptive Sampling for Robust Diffusion Models on Analog Compute-in-Memory. | Yuannuo Feng, Wenyong Zhou, Yuexi Lv, Hanjie Liu, Guangyao Wang, Zhengwu Liu, Ngai Wong, Wang Kang |
| 2025 | ASPDAC | Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator. | Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong |
| 2025 | ASPDAC | Invited paper: SPICE-Compatible Modeling and Design for Electronic-Photonic Integrated Circuits. | Yuxiang Fu, Yinyi Liu, Ngai Wong, Jiang Xu |
| 2025 | COLING | Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. | Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang |
| 2025 | COLING | Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. | Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong |
| 2025 | CVPR | DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables. | Sidi Yang, Binxiao Huang, Yulun Zhang, Dahai Yu, Yujiu Yang, Ngai Wong |
| 2025 | DAC | NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. | Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong |
| 2025 | DATE | Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. | Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong |
| 2025 | EMNLP | TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review. | Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Hayden Kwok-Hay So, Zhijiang Guo, Liya Zhu, Ngai Wong |
| 2025 | EMNLP | GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors. | Xinrong Chen, Hengyuan Zhang, Yingmin Qiu, Xiao Liang, Ziyue Li, Guanyu Wang, Weiping Li, Tong Mo, Hayden Kwok-Hay So, Ngai Wong |
| 2025 | EMNLP | KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation. | Ziyi Guan, Jason Chun Lok Li, Zhijian Hou, Pingping Zhang, Donglai Xu, Yuzhi Zhao, Mengyang Wu, Jinpeng Chen, Thanh-Toan Nguyen, Pengfei Xian, Wenao Ma, Shengchao Qin, Graziano Chesi, Ngai Wong |
| 2025 | EMNLP | UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective. | Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong |
| 2025 | EMNLP | QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. | Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang |
| 2025 | ICASSP | Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. | Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong |
| 2025 | ICASSP | MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. | Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong |
| 2025 | ICCAD | LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models. | Yupeng Su, Ziyi Guan, Xiaoqun Liu, Tianlai Jin, Dongkuan Wu, Zhengfei Chen, Graziano Chesi, Ngai Wong, Hao Yu |
| 2025 | ICCV | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Nonparametric Teaching for Graph Property Learners. | Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong |
| 2025 | IJCAI | Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. | Binxiao Huang, Ngai Wong |
| 2025 | IJCAI | 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 |
| 2025 | ISLPED | A 20.98TOPS/W Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator. | Dingbang Liu, Ziyi Guan, Qilong Chen, Jingyun Gu, Jiaqi Yang, Kai Li, Wei Mao, Ngai Wong, Changwen Chen, Hao Yu |
| 2024 | AAAI | Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. | Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong |
| 2024 | ASPDAC | Physics-Informed Learning for Versatile RRAM Reset and Retention Simulation. | Tianshu Hou, Yuan Ren, Wenyong Zhou, Can Li, Zhongrui Wang, Hai-Bao Chen, Ngai Wong |
| 2024 | DAC | APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. | Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu |
| 2024 | DATE | An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design. | Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu, Ngai Wong |
| 2024 | ECCV | Taming Lookup Tables for Efficient Image Retouching. | Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang |
| 2024 | EMNLP | Mixture-of-Subspaces in Low-Rank Adaptation. | Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong |
| 2024 | ICASSP | Hybrid Module with Multiple Receptive Fields and Self-Attention Layers for Medical Image Segmentation. | Wenbo Qi, Wenyong Zhou, Ngai Wong, S. C. Chan |
| 2024 | ICCAD | MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. | Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2024 | ICLR | ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference. | Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong |
| 2024 | ICML | Nonparametric Teaching of Implicit Neural Representations. | Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong |
| 2024 | IJCAI | 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 |
| 2024 | NAACL | Weight-Inherited Distillation for Task-Agnostic BERT Compression. | Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang |
| 2024 | NAACL | LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. | Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang |
| 2023 | AAAI | Context-Aware Transformer for 3D Point Cloud Automatic Annotation. | Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong |
| 2023 | ACL | Structured Pruning for Efficient Generative Pre-trained Language Models. | Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2023 | DATE | RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge. | Changhai Man, Cheng Chang, Chenchen Ding, Ao Shen, Hongwei Ren, Ziyi Guan, Yuan Cheng, Shaobo Luo, Rumin Zhang, Ngai Wong, Hao Yu |
| 2023 | DATE | PECAN: A Product-Quantized Content Addressable Memory Network. | Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong |
| 2023 | EMNLP | Gradually Excavating External Knowledge for Implicit Complex Question Answering. | Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong |
| 2023 | FCCM | MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. | Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So |
| 2022 | ACL | Compression of Generative Pre-trained Language Models via Quantization. | Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2022 | ECCV | Multimodal Transformer for Automatic 3D Annotation and Object Detection. | Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong |
| 2022 | ICPR | Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. | Rui Lin, Cong Chen, Ngai Wong |
| 2022 | ICPR | MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. | Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong |
| 2022 | ICPR | ODG-Q: Robust Quantization via Online Domain Generalization. | Chaofan Tao, Ngai Wong |
| 2022 | WACV | 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 |
| 2022 | WACV | EZCrop: Energy-Zoned Channels for Robust Output Pruning. | Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong |
| 2021 | CIKM | LiteGT: Efficient and Lightweight Graph Transformers. | Cong Chen, Chaofan Tao, Ngai Wong |
| 2021 | DATE | A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices. | Ziyi Guan, Shuwei Li, Yuan Cheng, Changhai Man, Wei Mao, Ngai Wong, Hao Yu |
| 2021 | ICDM | Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. | Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu |
| 2021 | WACV | 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 |
| 2020 | AAAI | Fastened CROWN: Tightened Neural Network Robustness Certificates. | Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel |
| 2020 | ASSETS | A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano. | Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam, Ngai Wong |
| 2020 | DATE | An Anomaly Comprehension Neural Network for Surveillance Videos on Terminal Devices. | Yuan Cheng, Guangtai Huang, Peining Zhen, Bin Liu, Hai-Bao Chen, Ngai Wong, Hao Yu |
| 2020 | ICCD | Learn to Floorplan through Acquisition of Effective Local Search Heuristics. | Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong |
| 2020 | ICPR | Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. | Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong |
| 2019 | ICCAD | DEEPEYE: A Deeply Tensor-Compressed Neural Network Hardware Accelerator: Invited Paper. | Yuan Cheng, Guangya Li, Ngai Wong, Hai-Bao Chen, Hao Yu |
| 2019 | ICML | POPQORN: Quantifying Robustness of Recurrent Neural Networks. | Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin |
| 2019 | IJCAI | MiSC: Mixed Strategies Crowdsourcing. | Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong |
| 2019 | IJCNN | Matrix Product Operator Restricted Boltzmann Machines. | Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong |
| 2019 | IJCNN | A Support Tensor Train Machine. | Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong |
| 2017 | ASPDAC | An efficient homotopy-based Poincar-Lindstedt method for the periodic steady-state analysis of nonlinear autonomous oscillators. | Zhongming Chen, Kim Batselier, Haotian Liu, Ngai Wong |
| 2016 | ASPDAC | STORM: A nonlinear model order reduction method via symmetric tensor decomposition. | Jian Deng, Haotian Liu, Kim Batselier, Yu-Kwong Kwok, Ngai Wong |
| 2016 | ICCAD | A tensor-based volterra series black-box nonlinear system identification and simulation framework. | Kim Batselier, Zhongming Chen, Haotian Liu, Ngai Wong |
| 2015 | ICCAD | STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. | Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong |
| 2014 | ASPDAC | Efficient matrix exponential method based on extended Krylov subspace for transient simulation of large-scale linear circuits. | Quan Chen, Wenhui Zhao, Ngai Wong |
| 2014 | DAC | An Efficient Two-level DC Operating Points Finder for Transistor Circuits. | Jian Deng, Kim Batselier, Yang Zhang, Ngai Wong |
| 2014 | ICCAD | A novel linear algebra method for the determination of periodic steady states of nonlinear oscillators. | Haotian Liu, Kim Batselier, Ngai Wong |
| 2013 | ASPDAC | Piecewise-polynomial associated transform macromodeling algorithm for fast nonlinear circuit simulation. | Yang Zhang, Neric Fong, Ngai Wong |
| 2013 | ISCAS | Integration of a wireless sensor network project for introductory circuits and systems teaching. | Chi-Un Lei, Ngai Wong, Ka Lok Man |
| 2013 | ISCAS | A hybrid MPPT method for Photovoltaic systems via estimation and revision method. | Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Chi-Un Lei, Ngai Wong |
| 2013 | ISCAS | Low-cost global MPPT scheme for Photovoltaic systems under partially shaded conditions. | Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Chi-Un Lei, Ngai Wong |
| 2012 | ASPDAC | Weakly nonlinear circuit analysis based on fast multidimensional inverse Laplace transform. | Tingting Wang, Haotian Liu, Yuanzhe Wang, Ngai Wong |
| 2012 | DAC | Fast nonlinear model order reduction via associated transforms of high-order volterra transfer functions. | Yang Zhang, Haotian Liu, Qing Wang, Neric Fong, Ngai Wong |
| 2012 | DATE | An operational matrix-based algorithm for simulating linear and fractional differential circuits. | Yuanzhe Wang, Haotian Liu, Grantham K. H. Pang, Ngai Wong |
| 2012 | DATE | Efficient variation-aware EM-semiconductor coupled solver for the TSV structures in 3D IC. | Yuanzhe Xu, Wenjian Yu, Quan Chen, Lijun Jiang, Ngai Wong |
| 2012 | FPGA | Operation scheduling and architecture co-synthesis for energy-efficient dataflow computations on FPGAs (abstract only). | Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So |
| 2012 | ICCAD | A fast time-domain EM-TCAD coupled simulation framework via matrix exponential. | Quan Chen, Wim Schoenmaker, Shih-Hung Weng, Chung-Kuan Cheng, Guan-Hua Chen, Lijun Jiang, Ngai Wong |
| 2012 | ICCAD | Circuit simulation via matrix exponential method for stiffness handling and parallel processing. | Shih-Hung Weng, Quan Chen, Ngai Wong, Chung-Kuan Cheng |
| 2012 | ISCAS | Co-simulation of RFIC with bondwire antenna via retarded PEEC method. | Y. Zhang, N. H. W. Fong, David C. W. Ng, Ngai Wong |
| 2011 | ASPDAC | Balanced truncation for time-delay systems via approximate Gramians. | Xiang Wang, Qing Wang, Zheng Zhang, Quan Chen, Ngai Wong |
| 2011 | ASPDAC | A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. | Zheng Zhang, Qing Wang, Ngai Wong, Luca Daniel |
| 2011 | DATE | A block-diagonal structured model reduction scheme for power grid networks. | Zheng Zhang, Xiang Hu, Chung-Kuan Cheng, Ngai Wong |
| 2011 | ISCAS | Process-variation-aware electromagnetic-semiconductor coupled simulation. | Yuanzhe Xu, Quan Chen, Lijun Jiang, Ngai Wong |
| 2010 | ASPDAC | VISA: versatile impulse structure approximation for time-domain linear macromodeling. | Chi-Un Lei, Ngai Wong |
| 2010 | ASPDAC | An extension of the generalized Hamiltonian method to | Zheng Zhang, Ngai Wong |
| 2010 | DAC | MFTI: matrix-format tangential interpolation for modeling multi-port systems. | Yuanzhe Wang, Chi-Un Lei, Grantham K. H. Pang, Ngai Wong |
| 2010 | ICCAD | PEDS: Passivity enforcement for descriptor systems via Hamiltonian-symplectic matrix pencil perturbation. | Yuanzhe Wang, Zheng Zhang, Cheng-Kok Koh, Grantham K. H. Pang, Ngai Wong |
| 2009 | DAC | An efficient passivity test for descriptor systems via canonical projector techniques. | Ngai Wong |
| 2009 | DATE | New simulation methodology of 3D surface roughness loss for interconnects modeling. | Quan Chen, Ngai Wong |
| 2009 | FPL | Operation scheduling for FPGA-based reconfigurable computers. | Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So |
| 2009 | ICCAD | GHM: A generalized Hamiltonian method for passivity test of impedance/admittance descriptor systems. | Zheng Zhang, Chi-Un Lei, Ngai Wong |
| 2008 | ASPDAC | Efficient numerical modeling of random rough surface effects for interconnect internal impedance extraction. | Quan Chen, Ngai Wong |
| 2008 | ASPDAC | Global optimization of common subexpressions for multiplierless synthesis of multiple constant multiplications. | Yuen-Hong Alvin Ho, Chi-Un Lei, Hing-Kit Kwan, Ngai Wong |
| 2008 | FPL | Direct sigma-delta modulated signal processing in FPGA. | Chiu-Wah Ng, Ngai Wong, Hayden Kwok-Hay So, Tung-Sang Ng |
| 2008 | ISCAS | Design of hybrid continuous-time discrete-time delta-sigma modulators. | Hing-Kit Kwan, Siu-Hong Lui, Chi-Un Lei, Yansong Liu, Ngai Wong, Ka-Leung Ho |
| 2008 | ISCAS | Efficient linear macromodeling via least-squares response approximation. | Chi-Un Lei, Hing-Kit Kwan, Yansong Liu, Ngai Wong |
| 2008 | VLSID | Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting. | Chi-Un Lei, Ngai Wong |
| 2007 | DATE | Fast positive-real balanced truncation of symmetric systems using cross Riccati equations. | Ngai Wong |
| 2007 | ISCAS | FIR Filter Approximation by IIR Filters Based on Discrete-Time Vector Fitting. | Ngai Wong, Chi-Un Lei |
| 2006 | DAC | Multi-shift quadratic alternating direction implicit iteration for high-speed positive-real balanced truncation. | Ngai Wong, Venkataramanan Balakrishnan |
| 2006 | DAC | A fast passivity test for descriptor systems via structure-preserving transformations of Skew-Hamiltonian/Hamiltonian matrix pencils. | Ngai Wong, C. K. Chu |
| 2006 | GLOBECOM | Signal Detection for MIMO-OFDM Systems with Time Offsets. | Shaodan Ma, Ngai Wong, Tung-Sang Ng |
| 2006 | ISCAS | Time domain equalization for OFDM systems. | Shaodan Ma, Ngai Wong, Tung-Sang Ng |
| 2006 | ISLPED | Power optimization in a repeater-inserted interconnect via geometric programming. | W. T. Cheung, Ngai Wong |
| 2005 | ICCAD | Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration. | Ngai Wong, Venkataramanan Balakrishnan |
| 2004 | DAC | Passivity-preserving model reduction via a computationally efficient project-and-balance scheme. | Ngai Wong, Venkataramanan Balakrishnan, Cheng-Kok Koh |
| 2004 | ICASSP | A fast Newton/Smith algorithm for solving algebraic Riccati equations and its application in model order reduction. | Ngai Wong, Venkataramanan Balakrishnan, Cheng-Kok Koh, Tung-Sang Ng |
| 2003 | ICASSP | A geometrical approach to robust minimum variance beamforming. | Ngai Wong, Tung-Sang Ng, Venkataramanan Balakrishnan |
| 2001 | ISCAS | Improved roundoff noise performance in a direct-form IIR filter using a modified delta operator. | Ngai Wong, Tung-Sang Ng |