Ngai Wong - RankMe

335 papers A* 31A 31B 12C 11Misc 5Journal 190Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Unified Compute-In-Memory Framework for Multisensory Emotion Recognition. ASP-DAC He Xiao, Yue Zhou, Dirui Xie, Qi Cheng, Xiaofang Hu, Zhengwu Liu, Ngai Wong
2026	—	`conf`	Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing. ASP-DAC Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models. CoRR Junyu Chen, Jungang Li, Jing Xiong, Wenjie Wang, Qingyao Yang, He Xiao, Zhen Li, Taiqiang Wu, Mengzhao Chen, Zhen Peng, Chaofan Tao, Long Shi, Hongxia Yang, Ngai Wong
2026	J	`jnl`	Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity. CoRR Hengyuan Zhang, Xinrong Chen, Zunhai Su, Xiao Liang, Jing Xiong, Wendong Xu, He Xiao, Chaofan Tao, Wei Zhang, Ruobing Xie, Lei Ji, Hayden Kwok-Hay So, Ngai Wong
2026	J	`jnl`	Binary Weight Multibit Activation Quantization for Compute-in-Memory CNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
2026	J	`jnl`	CAT++: Enhancing 3D Annotations with Hierarchical-Interleaved Encoding and Attention-Conditioned Implicit Representation. Int. J. Comput. Vis. Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
2026	J	`jnl`	Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality. CoRR Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	Efficient Generative Modeling with Unitary Matrix Product States Using Riemannian Optimization. CoRR Haotong Duan, Zhongming Chen, Ngai Wong
2026	J	`jnl`	Gradually Excavating External Knowledge for Implicit Complex Question Answering. CoRR Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong
2026	J	`jnl`	InjectRBP: Steering Large Language Model Reasoning Behavior via Pattern Injection. CoRR Xiuping Wu, Zhao Yu, Yuxin Cheng, Ngai Wong, Liangjun Ke, Tapas Mishra, Konstantinos V. Katsikopoulos
2026	J	`jnl`	Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. CoRR Hengyuan Zhang, Zhihao Zhang, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Ercong Nie, 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 Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong
2026	J	`jnl`	MMFormalizer: Multimodal Autoformalization in the Wild. CoRR Jing Xiong, Qi Han, Yunta Hsieh, Hui Shen, Huajian Xin, Chaofan Tao, Chenyang Zhao, Hengyuan Zhang, Taiqiang Wu, Zhen Zhang, Haochen Wang, Zhongwei Wan, Lingpeng Kong, Ngai Wong
2026	J	`jnl`	MathGen: Revealing the Illusion of Mathematical Competence through Text-to-Image Generation. CoRR Ruiyao Liu, Hui Shen, Ping Zhang, Yunta Hsieh, Yifan Zhang, Jing Xu, Sicheng Chen, Junchen Li, Jiawei Lu, Jianing Ma, Jiaqi Mo, Qi Han, Zhen Zhang, Zhongwei Wan, Jing Xiong, Xin Wang, Ziyuan Liu, Hangrui Cao, Ngai Wong
2026	J	`jnl`	Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective. CoRR Chen Zhang, Yuxin Cheng, Chenchen Ding, Shuqi Wang, Jingreng Lei, Runsheng Yu, Yik-Chung Wu, Ngai Wong
2026	J	`jnl`	Nonparametric Teaching of Attention Learners. CoRR Chen Zhang, Jianghui Wang, Bingyang Cheng, Zhongtao Chen, Wendong Xu, Cong Wang, Marco Canini, Francesco Orabona, Yik Chung Wu, Ngai Wong
2026	J	`jnl`	OVD: On-policy Verbal Distillation. CoRR Jing Xiong, Hui Shen, Shansan Gong, Yuxin Cheng, Jianghan Shen, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Ngai Wong
2026	J	`jnl`	PPD: A Portable and Highly Parallel Dispatching System for Deep Learning. ACM Trans. Design Autom. Electr. Syst. Wendong Xu, Yuhao Ji, Yang Bai, Yueting Li, Yuxuan Zhao, Zhengwu Liu, Bei Yu, Ngai Wong
2026	J	`jnl`	ReNN-RV: Run-Time PE Reconfiguration for DNN Inference Acceleration With Custom RISC-V ISA. IEEE Trans. Computers Yueting Li, Terry Tao Ye, Ngai Wong, Zhenhua Zhu, Yongfu Li, Weisheng Zhao
2026	J	`jnl`	Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance. CoRR Xinrong Chen, Xu Chu, Yingmin Qiu, Hengyuan Zhang, Jing Xiong, Shiyu Tang, Shuai Liu, Shaokang Yang, Cheng Yang, Hayden Kwok-Hay So, Ngai Wong
2026	J	`jnl`	The Art of Efficient Reasoning: Data, Reward, and Optimization. CoRR Taiqiang Wu, Zenan Xu, Bo Zhou, Ngai Wong
2026	J	`jnl`	To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion. IEEE Trans. Pattern Anal. Mach. Intell. Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2026	J	`jnl`	XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression. CoRR Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong
2026	J	`jnl`	XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression. CoRR Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong
2025	A	`conf`	A 20.98TOPS/W Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator. ISLPED Dingbang Liu, Ziyi Guan, Qilong Chen, Jingyun Gu, Jiaqi Yang, Kai Li, Wei Mao, Ngai Wong, Changwen Chen, Hao Yu
2025	—	`conf`	A Custom RISC-V ISA with Scalable Processing Units for Efficient Neural Network Inference. CF Yueting Li, Wanshuang Lin, Wendong Xu, Ngai Wong, Weisheng Zhao
2025	J	`jnl`	A Survey on the Honesty of Large Language Models. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips. CoRR Wenyong Zhou, Yuan Ren, Jiajun Zhou, Tianshu Hou, Ngai Wong
2025	J	`jnl`	ATTS: Asynchronous Test-Time Scaling via Conformal Prediction. CoRR Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism. CoRR Wendong Xu, Chujie Chen, He Xiao, Kuan Li, Jing Xiong, Chen Zhang, Wenyong Zhou, Chaofan Tao, Yang Bai, Bei Yu, Ngai Wong
2025	J	`jnl`	Autoregressive Models in Vision: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators. CoRR Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
2025	J	`jnl`	DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models. CoRR Ruofan Zhang, Bin Xia, Zhen Cheng, Cairen Jian, Minglun Yang, Ngai Wong, Yuan Cheng
2025	J	`jnl`	Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction. CoRR Binxiao Huang, Zhengwu Liu, Ngai Wong
2025	A	`conf`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. ICME Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations. CoRR Wenyong Zhou, Jiachen Ren, Taiqiang Wu, Yuxin Cheng, Zhengwu Liu, Ngai Wong
2025	A*	`conf`	DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables. CVPR Sidi Yang, Binxiao Huang, Yulun Zhang, Dahai Yu, Yujiu Yang, Ngai Wong
2025	J	`jnl`	DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables. CoRR Sidi Yang, Binxiao Huang, Yulun Zhang, Dahai Yu, Yujiu Yang, Ngai Wong
2025	J	`jnl`	DoPE: Denoising Rotary Position Embedding. CoRR Jing Xiong, Liyang Fan, Hui Shen, Zunhai Su, Min Yang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models. CoRR Qing Zhang, Bing Xu, Xudong Zhang, Yifan Shi, Yang Li, Chen Zhang, Yik Chung Wu, Ngai Wong, Yijie Chen, Hong Dai, Xiansen Chen, Mian Zhang
2025	B	`conf`	Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. COLING Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2025	Misc	`conf`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. ICASSP Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations. CoRR Wenyong Zhou, Yuxin Cheng, Zhengwu Liu, Taiqiang Wu, Chen Zhang, Ngai Wong
2025	J	`jnl`	Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models. CoRR He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Wenyong Zhou, Haobo Liu, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware. CoRR Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Yixiang Zhang, Zhengwu Liu, Ngai Wong, Wang Kang
2025	J	`jnl`	Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling. CoRR Chen Zhang, Weixin Bu, Wendong Xu, Runsheng Yu, Yik-Chung Wu, Ngai Wong
2025	J	`jnl`	Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation. CoRR 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
2025	J	`jnl`	GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors. CoRR Hengyuan Zhang, Xinrong Chen, Yingmin Qiu, Xiao Liang, Ziyue Li, Guanyu Wang, Weiping Li, Tong Mo, Wenyue Li, Hayden Kwok-Hay So, Ngai Wong
2025	—	`conf`	GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors. EMNLP (Findings) Xinrong Chen, Hengyuan Zhang, Yingmin Qiu, Xiao Liang, Ziyue Li, Guanyu Wang, Weiping Li, Tong Mo, Hayden Kwok-Hay So, Ngai Wong
2025	J	`jnl`	HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware. CoRR Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang
2025	J	`jnl`	HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture. CoRR Taiqiang Wu, Chenchen Ding, Wenyong Zhou, Yuxin Cheng, Xincheng Feng, Shuqi Wang, Chufan Shi, Zhengwu Liu, Ngai Wong
2025	A*	`conf`	Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. IJCAI Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong
2025	J	`jnl`	Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. CoRR Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong
2025	J	`jnl`	InfiJanice: Joint Analysis and In-situ Correction Engine for Quantization-Induced Math Degradation in Large Language Models. CoRR Zhen Li, Yupeng Su, Songmiao Wang, Runming Yang, Congkai Xie, Aofan Liu, Ming Li, Jiannong Cao, Yuan Xie, Ngai Wong, Hongxia Yang
2025	—	`conf`	Invited paper: SPICE-Compatible Modeling and Design for Electronic-Photonic Integrated Circuits. ASP-DAC Yuxiang Fu, Yinyi Liu, Ngai Wong, Jiang Xu
2025	A*	`conf`	KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation. EMNLP 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	J	`jnl`	KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation. CoRR 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	A	`conf`	LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models. ICCAD Yupeng Su, Ziyi Guan, Xiaoqun Liu, Tianlai Jin, Dongkuan Wu, Zhengfei Chen, Graziano Chesi, Ngai Wong, Hao Yu
2025	J	`jnl`	Lite It Fly: An All-Deformable-Butterfly Network. IEEE Trans. Neural Networks Learn. Syst. Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong
2025	J	`jnl`	LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction. CoRR Weichu Liu, Jing Xiong, Yuxuan Hu, Zixuan Li, Minghuan Tan, Ningning Mao, Chenyang Zhao, Zhongwei Wan, Chaofan Tao, Wendong Xu, Hui Shen, Chengming Li, Lingpeng Kong, Ngai Wong
2025	Misc	`conf`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. ICASSP Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	J	`jnl`	MINR: Efficient Implicit Neural Representations for Multi-Image Encoding. CoRR Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Yuxin Cheng, Chen Zhang, Ngai Wong
2025	J	`jnl`	NTK-Guided Implicit Neural Teaching. CoRR Chen Zhang, Wei Zuo, Bingyang Cheng, Yikun Wang, Wei-Bin Kou, Yik Chung Wu, Ngai Wong
2025	A*	`conf`	NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. DAC Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong
2025	A*	`conf`	Nonparametric Teaching for Graph Property Learners. ICML Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
2025	J	`jnl`	Nonparametric Teaching for Graph Property Learners. CoRR Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
2025	J	`jnl`	Novel Partitioning-Based Approach for Electromigration Assessment With Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianshu Hou, Farid N. Najm, Ngai Wong, Hai-Bao Chen
2025	J	`jnl`	PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models. CoRR He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zheng Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong
2025	A*	`conf`	ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. ICML Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. CoRR Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency. CoRR Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	PhyX: Does Your Model Have the "Wits" for Physical Reasoning? CoRR Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Wendong Xu, Jing Xiong, Ping Luo, Wenhu Chen, Chaofan Tao, Zhuoqing Mao, Ngai Wong
2025	A*	`conf`	Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. IJCAI Binxiao Huang, Ngai Wong
2025	A*	`conf`	QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. EMNLP Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025	J	`jnl`	QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. CoRR Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. CoRR Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. IEEE Trans. Circuits Syst. II Express Briefs Wenyong Zhou, Boyu Li, Jiachen Ren, Taiqiang Wu, Zhilin Ai, Zhengwu Liu, Ngai Wong
2025	J	`jnl`	Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning. CoRR Zhen Li, Yupeng Su, Runming Yang, Zhongwei Xie, Ngai Wong, Hongxia Yang
2025	A*	`conf`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. ACM Multimedia Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	J	`jnl`	Re-Activating Frozen Primitives for 3D Gaussian Splatting. CoRR Yuxin Cheng, Binxiao Huang, Wenyong Zhou, Taiqiang Wu, Zhengwu Liu, Graziano Chesi, Ngai Wong
2025	B	`conf`	Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. COLING Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong
2025	J	`jnl`	Revisiting Model Interpolation for Efficient Reasoning. CoRR Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Ngai Wong
2025	J	`jnl`	Shadow-FT: Tuning Instruct via Base. CoRR Taiqiang Wu, Runming Yang, Jiayi Li, Pengfei Hu, Ngai Wong, Yujiu Yang
2025	—	`conf`	Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator. ASP-DAC Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong
2025	J	`jnl`	SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. CoRR Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Z. Morley Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong
2025	J	`jnl`	Timber: Training-free Instruct Model Refining with Base via Effective Rank. CoRR Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Zenan Xu, Ngai Wong
2025	A	`conf`	Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. DATE Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong
2025	A*	`conf`	TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review. EMNLP Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Hayden Kwok-Hay So, Zhijiang Guo, Liya Zhu, Ngai Wong
2025	J	`jnl`	TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review. CoRR Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Zhijiang Guo, Ngai Wong
2025	A*	`conf`	UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective. EMNLP 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	J	`jnl`	Valence-Arousal Disentangled Representation Learning for Emotion Recognition in SSVEP-Based BCIs. IEEE J. Biomed. Health Informatics Yipeng Du, Jie Chen, Zhengwu Liu, Ngai Wong, Chi Zhang, Zhiwei Ding, Jian Liu, Edith C. H. Ngai
2024	J	`jnl`	A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Trans. Circuits Syst. II Express Briefs Boyu Li, Kai Li, Jiajun Zhou, Yuan Ren, Wei Mao, Hao Yu, Ngai Wong
2024	J	`jnl`	A Survey on the Honesty of Large Language Models. CoRR 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
2024	A*	`conf`	APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. DAC Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu
2024	J	`jnl`	APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. CoRR Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu
2024	A*	`conf`	ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference. ICLR Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
2024	J	`jnl`	ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference. CoRR Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
2024	A	`conf`	An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design. DATE Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu, Ngai Wong
2024	J	`jnl`	Autoregressive Models in Vision: A Survey. CoRR 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
2024	J	`jnl`	DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
2024	J	`jnl`	FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. IEEE Trans. Neural Networks Learn. Syst. Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
2024	A*	`conf`	Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. IJCAI Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
2024	Misc	`conf`	Hybrid Module with Multiple Receptive Fields and Self-Attention Layers for Medical Image Segmentation. ICASSP Wenbo Qi, Wenyong Zhou, Ngai Wong, S. C. Chan
2024	J	`jnl`	Hyperdimensional Computing With Multiscale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection. IEEE Internet Things J. Yipeng Du, Yuan Ren, Ngai Wong, Edith C. H. Ngai
2024	J	`jnl`	LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models. CoRR Yupeng Su, Ziyi Guan, Xiaoqun Liu, Tianlai Jin, Dongkuan Wu, Graziano Chesi, Ngai Wong, Hao Yu
2024	J	`jnl`	LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. CoRR Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang
2024	A*	`conf`	Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. AAAI Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong
2024	—	`conf`	LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. NAACL-HLT Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang
2024	J	`jnl`	LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. CoRR Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang
2024	A	`conf`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. ICCAD Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. CoRR Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	A*	`conf`	Mixture-of-Subspaces in Low-Rank Adaptation. EMNLP Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	J	`jnl`	Mixture-of-Subspaces in Low-Rank Adaptation. CoRR Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	A*	`conf`	Nonparametric Teaching of Implicit Neural Representations. ICML Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong
2024	J	`jnl`	Nonparametric Teaching of Implicit Neural Representations. CoRR Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong
2024	J	`jnl`	Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach. IEEE Trans. Signal Process. Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, H. Vincent Poor
2024	B	`conf`	Physics-Informed Learning for Versatile RRAM Reset and Retention Simulation. ASPDAC Tianshu Hou, Yuan Ren, Wenyong Zhou, Can Li, Zhongrui Wang, Hai-Bao Chen, Ngai Wong
2024	J	`jnl`	Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. CoRR Binxiao Huang, Jason Chun Lok Li, Chang Liu, Ngai Wong
2024	J	`jnl`	Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
2024	A*	`conf`	Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. NeurIPS Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024	J	`jnl`	Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024	J	`jnl`	Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator. CoRR Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong
2024	—	`conf`	Taming Lookup Tables for Efficient Image Retouching. ECCV (58) Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang
2024	J	`jnl`	Taming Lookup Tables for Efficient Image Retouching. CoRR Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang
2024	J	`jnl`	UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong
2024	J	`jnl`	UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. CoRR Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong
2024	—	`conf`	Weight-Inherited Distillation for Task-Agnostic BERT Compression. NAACL-HLT (Findings) Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang
2023	J	`jnl`	A Spectral Perspective towards Understanding and Improving Adversarial Robustness. CoRR Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong
2023	—	`conf`	A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips. ASICON Wenyong Zhou, Yuan Ren, Jiajun Zhou, Tianshu Hou, Ngai Wong
2023	—	`conf`	A Unifying Tensor View for Lightweight CNNs. ASICON Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong
2023	J	`jnl`	A Unifying Tensor View for Lightweight CNNs. CoRR Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong
2023	J	`jnl`	Analytical Post-Voiding Modeling and Efficient Characterization of EM Failure Effects Under Time-Dependent Current Stressing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianshu Hou, Ngai Wong, Quan Chen, Zhigang Ji, Hai-Bao Chen
2023	A*	`conf`	Context-Aware Transformer for 3D Point Cloud Automatic Annotation. AAAI Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
2023	J	`jnl`	Context-Aware Transformer for 3D Point Cloud Automatic Annotation. CoRR Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
2023	J	`jnl`	DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
2023	J	`jnl`	Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. CoRR Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2023	—	`conf`	Gradually Excavating External Knowledge for Implicit Complex Question Answering. EMNLP (Findings) Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong
2023	J	`jnl`	Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. CoRR Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
2023	J	`jnl`	Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. CoRR Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong
2023	J	`jnl`	Lite it fly: An All-Deformable-Butterfly Network. CoRR Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong
2023	Misc	`conf`	MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. FCCM Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So
2023	J	`jnl`	Multilayer Perceptron-Based Stress Evolution Analysis Under DC Current Stressing for Multisegment Wires. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianshu Hou, Peining Zhen, Ngai Wong, Quan Chen, Guoyong Shi, Shuqi Wang, Hai-Bao Chen
2023	A	`conf`	PECAN: A Product-Quantized Content Addressable Memory Network. DATE Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
2023	A	`conf`	RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge. DATE Changhai Man, Cheng Chang, Chenchen Ding, Ao Shen, Hongwei Ren, Ziyi Guan, Yuan Cheng, Shaobo Luo, Rumin Zhang, Ngai Wong, Hao Yu
2023	—	`conf`	Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2023	J	`jnl`	Tensor train factorization under noisy and incomplete data with automatic rank estimation. Pattern Recognit. Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2023	J	`jnl`	To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion. CoRR Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2023	J	`jnl`	Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang
2022	J	`jnl`	A Space-Time Neural Network for Analysis of Stress Evolution Under DC Current Stressing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tianshu Hou, Ngai Wong, Quan Chen, Zhigang Ji, Hai-Bao Chen
2022	B	`conf`	Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. ICPR Rui Lin, Cong Chen, Ngai Wong
2022	J	`jnl`	Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. CoRR Rui Lin, Cong Chen, Ngai Wong
2022	—	`conf`	Compression of Generative Pre-trained Language Models via Quantization. ACL (1) Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2022	J	`jnl`	Compression of Generative Pre-trained Language Models via Quantization. CoRR Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2022	J	`jnl`	Deformable Butterfly: A Highly Structured and Sparse Linear Transform. CoRR Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
2022	A	`conf`	EZCrop: Energy-Zoned Channels for Robust Output Pruning. WACV Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
2022	A	`conf`	FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation. WACV Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong
2022	J	`jnl`	Fast Classification and Action Recognition With Event-Based Imaging. IEEE Access Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
2022	J	`jnl`	Frequency Regularization for Improving Adversarial Robustness. CoRR Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
2022	J	`jnl`	Kernelized support tensor train machines. Pattern Recognit. Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
2022	B	`conf`	MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. ICPR Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
2022	J	`jnl`	MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. CoRR Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
2022	J	`jnl`	Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires. CoRR Tianshu Hou, Peining Zhen, Ngai Wong, Quan Chen, Guoyong Shi, Shuqi Wang, Hai-Bao Chen
2022	—	`conf`	Multimodal Transformer for Automatic 3D Annotation and Object Detection. ECCV (38) Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
2022	J	`jnl`	Multimodal Transformer for Automatic 3D Annotation and Object Detection. CoRR Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
2022	B	`conf`	ODG-Q: Robust Quantization via Online Domain Generalization. ICPR Chaofan Tao, Ngai Wong
2022	J	`jnl`	ODG-Q: Robust Quantization via Online Domain Generalization. CoRR Chaofan Tao, Ngai Wong
2022	J	`jnl`	PECAN: A Product-Quantized Content Addressable Memory Network. CoRR Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
2022	J	`jnl`	What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. CoRR Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
2021	A	`conf`	A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices. DATE Ziyi Guan, Shuwei Li, Yuan Cheng, Changhai Man, Wei Mao, Ngai Wong, Hao Yu
2021	J	`jnl`	AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision. CoRR Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
2021	—	`conf`	An Efficient & Programmable FPGA-Based Approach for Fast-Tuning Silicon CPU Design for Embedded Systems. ICSPCC Chi-Chiu Tsang, Steve Chim, Andy Wu, Gordon Ip, Albert Lee, King Hang Lam, Ngai Wong, David Ng
2021	—	`conf`	BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. ASICON Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong
2021	A*	`conf`	Deformable Butterfly: A Highly Structured and Sparse Linear Transform. NeurIPS Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
2021	J	`jnl`	EZCrop: Energy-Zoned Channels for Robust Output Pruning. CoRR Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
2021	J	`jnl`	Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. CoRR Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
2021	J	`jnl`	FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. CoRR Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
2021	A	`conf`	LiteGT: Efficient and Lightweight Graph Transformers. CIKM Cong Chen, Chaofan Tao, Ngai Wong
2021	A*	`conf`	Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. ICDM Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2021	—	`conf`	Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data. SSP Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2021	J	`jnl`	S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving. ACM Trans. Intell. Syst. Technol. Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
2021	A	`conf`	S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation. WACV Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
2020	A	`conf`	A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano. ASSETS Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam, Ngai Wong
2020	A	`conf`	An Anomaly Comprehension Neural Network for Surveillance Videos on Terminal Devices. DATE Yuan Cheng, Guangtai Huang, Peining Zhen, Bin Liu, Hai-Bao Chen, Ngai Wong, Hao Yu
2020	J	`jnl`	DEEPEYE: A Deeply Tensor-Compressed Neural Network for Video Comprehension on Terminal Devices. ACM Trans. Embed. Comput. Syst. Yuan Cheng, Guangya Li, Ngai Wong, Hai-Bao Chen, Hao Yu
2020	J	`jnl`	Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong
2020	B	`conf`	Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. ICPR Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
2020	J	`jnl`	Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
2020	A*	`conf`	Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2020	J	`jnl`	HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. CoRR Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
2020	J	`jnl`	Kernelized Support Tensor Train Machines. CoRR Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
2020	C	`conf`	Learn to Floorplan through Acquisition of Effective Local Search Heuristics. ICCD Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong
2020	J	`jnl`	S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation. CoRR Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
2019	—	`conf`	A Low-Power High-Throughput In-Memory CMOS-ReRAM Accelerator for Large-Scale Deep Residual Neural Networks. ASICON Yuan Cheng, Ngai Wong, Xiong Liu, Leibin Ni, Hai-Bao Chen, Hao Yu
2019	B	`conf`	A Support Tensor Train Machine. IJCNN Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	A	`conf`	DEEPEYE: A Deeply Tensor-Compressed Neural Network Hardware Accelerator: Invited Paper. ICCAD Yuan Cheng, Guangya Li, Ngai Wong, Hai-Bao Chen, Hao Yu
2019	—	`conf`	Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification. CDC Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	J	`jnl`	Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2019	J	`jnl`	MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR Kim Batselier, Andrzej Cichocki, Ngai Wong
2019	B	`conf`	Matrix Product Operator Restricted Boltzmann Machines. IJCNN Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
2019	A*	`conf`	MiSC: Mixed Strategies Crowdsourcing. IJCAI Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong
2019	J	`jnl`	MiSC: Mixed Strategies Crowdsourcing. CoRR Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong
2019	A*	`conf`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
2019	J	`jnl`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
2018	J	`jnl`	A Support Tensor Train Machine. CoRR Cong Chen, Kim Batselier, Ching Yun Ko, Ngai Wong
2018	J	`jnl`	Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. SIAM J. Matrix Anal. Appl. Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
2018	J	`jnl`	Deep Compression of Sum-Product Networks on Tensor Networks. CoRR Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong
2018	J	`jnl`	Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach. CoRR Ching Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong
2018	J	`jnl`	Matrix Product Operator Restricted Boltzmann Machines. CoRR Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
2018	J	`jnl`	Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. Autom. Kim Batselier, Ngai Wong
2018	J	`jnl`	Parallelized Tensor Train Learning of Polynomial Classifiers. IEEE Trans. Neural Networks Learn. Syst. Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong
2018	J	`jnl`	Tensor network subspace identification of polynomial state space models. Autom. Kim Batselier, Ching Yun Ko, Ngai Wong
2017	J	`jnl`	A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. Autom. Kim Batselier, Zhongming Chen, Ngai Wong
2017	J	`jnl`	A constructive arbitrary-degree Kronecker product decomposition of tensors. Numer. Linear Algebra Appl. Kim Batselier, Ngai Wong
2017	—	`conf`	An efficient homotopy-based Poincaré-Lindstedt method for the periodic steady-state analysis of nonlinear autonomous oscillators. ASP-DAC Zhongming Chen, Kim Batselier, Haotian Liu, Ngai Wong
2017	J	`jnl`	Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
2017	J	`jnl`	Inverse multivariate polynomial root-finding: Numerical implementations of the affine and projective Buchberger-Möller algorithm. J. Comput. Appl. Math. Kim Batselier, Ngai Wong
2017	J	`jnl`	Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. CoRR Kim Batselier, Ngai Wong
2017	J	`jnl`	Tensor Computation: A New Framework for High-Dimensional Problems in EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
2017	J	`jnl`	Tensor Network alternating linear scheme for MIMO Volterra system identification. Autom. Kim Batselier, Zhongming Chen, Ngai Wong
2017	J	`jnl`	Tensor network subspace identification of polynomial state space models. CoRR Kim Batselier, Ching Yun Ko, Ngai Wong
2017	—	`conf`	Tensor-network-based predistorter design for multiple-input multiple-output nonlinear systems. ASICON Cong Chen, Kim Batselier, Mihai Telescu, Stéphane Azou, Noël Tanguy, Ngai Wong
2016	J	`jnl`	A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. CoRR Kim Batselier, Zhongming Chen, Ngai Wong
2016	J	`jnl`	A fast time-domain EM-TCAD coupled simulation framework via matrix exponential with stiffness reduction. Int. J. Circuit Theory Appl. Quan Chen, Wim Schoenmaker, Shih-Hung Weng, Chung-Kuan Cheng, Guan-Hua Chen, Lijun Jiang, Ngai Wong
2016	A	`conf`	A tensor-based volterra series black-box nonlinear system identification and simulation framework. ICCAD Kim Batselier, Zhongming Chen, Haotian Liu, Ngai Wong
2016	J	`jnl`	Compact model order reduction of weakly nonlinear systems by associated transform. Int. J. Circuit Theory Appl. Yang Zhang, Ngai Wong
2016	J	`jnl`	Computing the state difference equations for discrete overdetermined linear systems. Autom. Kim Batselier, Ngai Wong
2016	J	`jnl`	Parallelized Tensor Train Learning of Polynomial Classifiers. CoRR Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong
2016	—	`conf`	STORM: A nonlinear model order reduction method via symmetric tensor decomposition. ASP-DAC Jian Deng, Haotian Liu, Kim Batselier, Yu-Kwong Kwok, Ngai Wong
2016	J	`jnl`	Symmetric tensor decomposition by an iterative eigendecomposition algorithm. J. Comput. Appl. Math. Kim Batselier, Ngai Wong
2016	J	`jnl`	Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
2016	J	`jnl`	Tensor Train alternating linear scheme for MIMO Volterra system identification. CoRR Kim Batselier, Zhongming Chen, Ngai Wong
2015	J	`jnl`	A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms. SIAM J. Matrix Anal. Appl. Kim Batselier, Haotian Liu, Ngai Wong
2015	J	`jnl`	A constructive arbitrary-degree Kronecker product decomposition of tensors. CoRR Kim Batselier, Ngai Wong
2015	—	`conf`	An adaptive dynamical low-rank tensor approximation scheme for fast circuit simulation. ASICON Kim Batselier, Quan Chen, Ngai Wong
2015	J	`jnl`	An approximate framework for quantum transport calculation with model order reduction. J. Comput. Phys. Quan Chen, Jun Li, ChiYung Yam, Yu Zhang, Ngai Wong, Guanhua Chen
2015	J	`jnl`	Model Reduction and Simulation of Nonlinear Circuits via Tensor Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Haotian Liu, Luca Daniel, Ngai Wong
2015	A	`conf`	STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong
2014	J	`jnl`	A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms. CoRR Kim Batselier, Haotian Liu, Ngai Wong
2014	A	`conf`	A novel linear algebra method for the determination of periodic steady states of nonlinear oscillators. ICCAD Haotian Liu, Kim Batselier, Ngai Wong
2014	A*	`conf`	An Efficient Two-level DC Operating Points Finder for Transistor Circuits. DAC Jian Deng, Kim Batselier, Yang Zhang, Ngai Wong
2014	—	`conf`	Direct finite-element-based solver for 3D-IC thermal analysis via H-matrix representation. ISQED Ying-Chi Li, Sheldon X.-D. Tan, Tan Yu, Xin Huang, Ngai Wong
2014	—	`conf`	Efficient matrix exponential method based on extended Krylov subspace for transient simulation of large-scale linear circuits. ASP-DAC Quan Chen, Wenhui Zhao, Ngai Wong
2014	J	`jnl`	Gramian-based model order reduction of parameterized time-delay systems. Int. J. Circuit Theory Appl. Xiang Wang, Zheng Zhang, Qing Wang, Ngai Wong
2014	J	`jnl`	Symmetric Tensor Decomposition by an Iterative Eigendecomposition Algorithm. CoRR Kim Batselier, Ngai Wong
2013	J	`jnl`	A Numerically Efficient Formulation for Time-Domain Electromagnetic-Semiconductor Cosimulation for Fast-Transient Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Quan Chen, Wim Schoenmaker, Guan-Hua Chen, Lijun Jiang, Ngai Wong
2013	C	`conf`	A hybrid MPPT method for Photovoltaic systems via estimation and revision method. ISCAS Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Chi-Un Lei, Ngai Wong
2013	—	`conf`	Automatic adaptive multi-point moment matching for descriptor system model order reduction. VLSI-DAT Wenhui Zhao, Grantham K. H. Pang, Ngai Wong
2013	J	`jnl`	Autonomous Volterra Algorithm for Steady-State Analysis of Nonlinear Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Haotian Liu, Ngai Wong
2013	J	`jnl`	Design space exploration for sparse matrix-matrix multiplication on FPGAs. Int. J. Circuit Theory Appl. Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So
2013	—	`conf`	Fast transistor-level circuit simulation and variational analysis via the ultra-compact virtual source model. ASICON Yang Zhang, Quan Chen, Ngai Wong
2013	C	`conf`	Integration of a wireless sensor network project for introductory circuits and systems teaching. ISCAS Chi-Un Lei, Ngai Wong, Ka Lok Man
2013	J	`jnl`	Iterative solution to linear matrix inequality arising from time delay descriptor systems. Appl. Math. Comput. Qing Wang, Pengcheng Xu, Edmund Y. Lam, Ngai Wong
2013	C	`conf`	Low-cost global MPPT scheme for Photovoltaic systems under partially shaded conditions. ISCAS Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Chi-Un Lei, Ngai Wong
2013	J	`jnl`	Model Order Reduction for Neutral Systems by Moment Matching. Circuits Syst. Signal Process. Qing Wang, Yuanzhe Wang, Edmund Y. Lam, Ngai Wong
2013	—	`conf`	Piecewise-polynomial associated transform macromodeling algorithm for fast nonlinear circuit simulation. ASP-DAC Yang Zhang, Neric Fong, Ngai Wong
2012	J	`jnl`	A Realistic Early-Stage Power Grid Verification Algorithm Based on Hierarchical Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuanzhe Wang, Xiang Hu, Chung-Kuan Cheng, Grantham K. H. Pang, Ngai Wong
2012	A	`conf`	A fast time-domain EM-TCAD coupled simulation framework via matrix exponential. ICCAD Quan Chen, Wim Schoenmaker, Shih-Hung Weng, Chung-Kuan Cheng, Guan-Hua Chen, Lijun Jiang, Ngai Wong
2012	A	`conf`	An operational matrix-based algorithm for simulating linear and fractional differential circuits. DATE Yuanzhe Wang, Haotian Liu, Grantham K. H. Pang, Ngai Wong
2012	A	`conf`	Circuit simulation via matrix exponential method for stiffness handling and parallel processing. ICCAD Shih-Hung Weng, Quan Chen, Ngai Wong, Chung-Kuan Cheng
2012	C	`conf`	Co-simulation of RFIC with bondwire antenna via retarded PEEC method. ISCAS Y. Zhang, N. H. W. Fong, David C. W. Ng, Ngai Wong
2012	J	`jnl`	Corrigendum to "A Realistic Early-Stage Power Grid Verification Algorithm Based on Hierarchical Constraints". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuanzhe Wang, Xiang Hu, Chung-Kuan Cheng, Grantham K. H. Pang, Ngai Wong
2012	A	`conf`	Efficient variation-aware EM-semiconductor coupled solver for the TSV structures in 3D IC. DATE Yuanzhe Xu, Wenjian Yu, Quan Chen, Lijun Jiang, Ngai Wong
2012	A*	`conf`	Fast nonlinear model order reduction via associated transforms of high-order volterra transfer functions. DAC Yang Zhang, Haotian Liu, Qing Wang, Neric Fong, Ngai Wong
2012	—	`conf`	Globally stable, highly parallelizable fast transient circuit simulation via faber series. NEWCAS Ying-Chi Li, Quan Chen, Shih-Hung Weng, Chung-Kuan Cheng, Ngai Wong
2012	A	`conf`	Operation scheduling and architecture co-synthesis for energy-efficient dataflow computations on FPGAs (abstract only). FPGA Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So
2012	J	`jnl`	Passivity Enforcement for Descriptor Systems Via Matrix Pencil Perturbation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuanzhe Wang, Zheng Zhang, Cheng-Kok Koh, Guoyong Shi, Grantham K. H. Pang, Ngai Wong
2012	—	`conf`	Weakly nonlinear circuit analysis based on fast multidimensional inverse Laplace transform. ASP-DAC Tingting Wang, Haotian Liu, Yuanzhe Wang, Ngai Wong
2011	J	`jnl`	A Sub-1 V, 26 muW, Low-Output-Impedance CMOS Bandgap Reference With a Low Dropout or Source Follower Mode. IEEE Trans. Very Large Scale Integr. Syst. David C. W. Ng, David K. K. Kwong, Ngai Wong
2011	A	`conf`	A block-diagonal structured model reduction scheme for power grid networks. DATE Zheng Zhang, Xiang Hu, Chung-Kuan Cheng, Ngai Wong
2011	—	`conf`	A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. ASP-DAC Zheng Zhang, Qing Wang, Ngai Wong, Luca Daniel
2011	J	`jnl`	An Effective Formulation of Coupled Electromagnetic-TCAD Simulation for Extremely High Frequency Onward. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Quan Chen, Wim Schoenmaker, Peter Meuris, Ngai Wong
2011	—	`conf`	Balanced truncation for time-delay systems via approximate Gramians. ASP-DAC Xiang Wang, Qing Wang, Zheng Zhang, Quan Chen, Ngai Wong
2011	J	`jnl`	Finite difference schemes for heat conduction analysis in integrated circuit design and manufacturing. Int. J. Circuit Theory Appl. Yijiang Shen, Ngai Wong, Edmund Y. Lam, Cheng-Kok Koh
2011	C	`conf`	Frequency-domain transient analysis of multitime partial differential equation systems. VLSI-SoC Haotian Liu, Fengrui Shi, Yuanzhe Wang, Ngai Wong
2011	—	`conf`	More realistic power grid verification based on hierarchical current and power constraints. ISPD Chung-Kuan Cheng, Peng Du, Andrew B. Kahng, Grantham K. H. Pang, Yuanzhe Wang, Ngai Wong
2011	J	`jnl`	On IIR-based bit-stream multipliers. Int. J. Circuit Theory Appl. Chiu-Wah Ng, Ngai Wong, Hayden Kwok-Hay So, Tung-Sang Ng
2011	C	`conf`	Process-variation-aware electromagnetic-semiconductor coupled simulation. ISCAS Yuanzhe Xu, Quan Chen, Lijun Jiang, Ngai Wong
2010	J	`jnl`	An Efficient Projector-Based Passivity Test for Descriptor Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Ngai Wong
2010	—	`conf`	An extension of the generalized Hamiltonian method to ASP-DAC Zheng Zhang, Ngai Wong
2010	J	`jnl`	Analog circuit design by nonconvex polynomial optimization: Two design examples. Int. J. Circuit Theory Appl. Siu-Hong Lui, Hing-Kit Kwan, Ngai Wong
2010	—	`conf`	Design space exploration for sparse matrix-matrix multiplication on FPGAs. FPT Colin Yu Lin, Zheng Zhang, Ngai Wong, Hayden Kwok-Hay So
2010	A*	`conf`	MFTI: matrix-format tangential interpolation for modeling multi-port systems. DAC Yuanzhe Wang, Chi-Un Lei, Grantham K. H. Pang, Ngai Wong
2010	A	`conf`	PEDS: Passivity enforcement for descriptor systems via Hamiltonian-symplectic matrix pencil perturbation. ICCAD Yuanzhe Wang, Zheng Zhang, Cheng-Kok Koh, Grantham K. H. Pang, Ngai Wong
2010	J	`jnl`	Passivity Test of Immittance Descriptor Systems Based on Generalized Hamiltonian Methods. IEEE Trans. Circuits Syst. II Express Briefs Zheng Zhang, Ngai Wong
2010	—	`conf`	VISA: versatile impulse structure approximation for time-domain linear macromodeling. ASP-DAC Chi-Un Lei, Ngai Wong
2009	J	`jnl`	A 30µW CMOS bandgap reference featuring a 1.5-6 mA output driving current and a Miller-effect startup circuit. Microelectron. J. David C. W. Ng, David K. K. Kwong, Ngai Wong
2009	A*	`conf`	An efficient passivity test for descriptor systems via canonical projector techniques. DAC Ngai Wong
2009	J	`jnl`	Designing globally optimal delta-sigma modulator topologies via signomial programming. Int. J. Circuit Theory Appl. Yuen-Hong Alvin Ho, Hing-Kit Kwan, Ngai Wong, Ka-Leung Ho
2009	—	`conf`	Digital IIR filter design for communication systems by discrete-time vector fitting. DPS Chi-Un Lei, Ngai Wong
2009	J	`jnl`	Efficient numerical modeling of random rough surface effects in interconnect resistance extraction. Int. J. Circuit Theory Appl. Quan Chen, Ngai Wong
2009	A	`conf`	GHM: A generalized Hamiltonian method for passivity test of impedance/admittance descriptor systems. ICCAD Zheng Zhang, Chi-Un Lei, Ngai Wong
2009	J	`jnl`	IIR Approximation of FIR Filters Via Discrete-Time Hybrid-Domain Vector Fitting. IEEE Signal Process. Lett. Chi-Un Lei, Ngai Wong
2009	A	`conf`	New simulation methodology of 3D surface roughness loss for interconnects modeling. DATE Quan Chen, Ngai Wong
2009	B	`conf`	Operation scheduling for FPGA-based reconfigurable computers. FPL Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So
2009	J	`jnl`	Robust Simulation Methodology for Surface-Roughness Loss in Interconnect and Package Modelings. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Quan Chen, Hoi Wai Choi, Ngai Wong
2008	J	`jnl`	A Fast Passivity Test for Stable Descriptor Systems via Skew-Hamiltonian/Hamiltonian Matrix Pencil Transformations. IEEE Trans. Circuits Syst. I Regul. Pap. Ngai Wong, Chung-Kwan Chu
2008	J	`jnl`	A Signomial Programming Approach for Binary Image Restoration by Penalized Least Squares. IEEE Trans. Circuits Syst. II Express Briefs Yijiang Shen, Edmund Y. Lam, Ngai Wong
2008	C	`conf`	Design of hybrid continuous-time discrete-time delta-sigma modulators. ISCAS Hing-Kit Kwan, Siu-Hong Lui, Chi-Un Lei, Yansong Liu, Ngai Wong, Ka-Leung Ho
2008	B	`conf`	Direct sigma-delta modulated signal processing in FPGA. FPL Chiu-Wah Ng, Ngai Wong, Hayden Kwok-Hay So, Tung-Sang Ng
2008	Misc	`conf`	Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting. VLSI Design Chi-Un Lei, Ngai Wong
2008	J	`jnl`	Efficient Positive-Real Balanced Truncation of Symmetric Systems Via Cross-Riccati Equations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ngai Wong
2008	C	`conf`	Efficient linear macromodeling via least-squares response approximation. ISCAS Chi-Un Lei, Hing-Kit Kwan, Yansong Liu, Ngai Wong
2008	—	`conf`	Efficient numerical modeling of random rough surface effects for interconnect internal impedance extraction. ASP-DAC Quan Chen, Ngai Wong
2008	—	`conf`	Fast sweeping methods for checking passivity of descriptor systems. APCCAS Yansong Liu, Ngai Wong
2008	—	`conf`	Global optimization of common subexpressions for multiplierless synthesis of multiple constant multiplications. ASP-DAC Yuen-Hong Alvin Ho, Chi-Un Lei, Hing-Kit Kwan, Ngai Wong
2008	J	`jnl`	IIR Approximation of FIR Filters Via Discrete-Time Vector Fitting. IEEE Trans. Signal Process. Ngai Wong, Chi-Un Lei
2008	—	`conf`	Interconnect thermal simulation with higher order spatial accuracy. APCCAS Yijiang Shen, Ngai Wong, Edmund Y. Lam
2008	J	`jnl`	Optimal Common Sub-Expression Elimination Algorithm of Multiple Constant Multiplications with a Logic Depth Constraint. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yuen-Hong Alvin Ho, Chi-Un Lei, Hing-Kit Kwan, Ngai Wong
2008	—	`conf`	Processor frequency assignment in three-dimensional MPSoCs under thermal constraints by polynomial programming. APCCAS Guangyao Zhao, Hing-Kit Kwan, Chi-Un Lei, Ngai Wong
2008	—	`conf`	Quad-level bit-stream signal processing on FPGAs. FPT Chiu-Wah Ng, Ngai Wong, Hayden Kwok-Hay So, Tung-Sang Ng
2008	—	`conf`	Synthesis of optimal OTA-C filter structures with arbitrary transmission zeros via MINLP. APCCAS Hing-Kit Kwan, Chung-Man Cheung, Chi-Un Lei, Ngai Wong, Ka-Leung Ho
2007	—	`conf`	A Common Subexpression Sharing Approach for Multiplierless Synthesis of Multiple Constant Multiplications. IMECS Yuen-Hong Alvin Ho, Chi-Un Lei, Ngai Wong
2007	J	`jnl`	A Common Subexpression Sharing Approach for Multiplierless Synthesis of Multiple Constant Multiplications. Eng. Lett. Yuen-Hong Alvin Ho, Chi-Un Lei, Ngai Wong
2007	J	`jnl`	Bit-Stream Adders and Multipliers for Tri-Level Sigma-Delta Modulators. IEEE Trans. Circuits Syst. II Express Briefs Chiu-Wah Ng, Ngai Wong, Tung-Sang Ng
2007	C	`conf`	FIR Filter Approximation by IIR Filters Based on Discrete-Time Vector Fitting. ISCAS Ngai Wong, Chi-Un Lei
2007	J	`jnl`	Fast Positive-Real Balanced Truncation Via Quadratic Alternating Direction Implicit Iteration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ngai Wong, Venkataramanan Balakrishnan
2007	A	`conf`	Fast positive-real balanced truncation of symmetric systems using cross Riccati equations. DATE Ngai Wong
2007	—	`conf`	Novel 2D Linear-Phase IIR Filter Design and Application in Noise Removal. IMECS Chung-Man Cheung, Chi-Un Lei, Ngai Wong
2006	A*	`conf`	A fast passivity test for descriptor systems via structure-preserving transformations of Skew-Hamiltonian/Hamiltonian matrix pencils. DAC Ngai Wong, C. K. Chu
2006	—	`conf`	Binary Image Deconvolution with Positive Semidefinite Programming. IMECS Yijiang Shen, Edmund Y. Lam, Ngai Wong
2006	A*	`conf`	Multi-shift quadratic alternating direction implicit iteration for high-speed positive-real balanced truncation. DAC Ngai Wong, Venkataramanan Balakrishnan
2006	A	`conf`	Power optimization in a repeater-inserted interconnect via geometric programming. ISLPED W. T. Cheung, Ngai Wong
2006	B	`conf`	Signal Detection for MIMO-OFDM Systems with Time Offsets. GLOBECOM Shaodan Ma, Ngai Wong, Tung-Sang Ng
2006	C	`conf`	Time domain equalization for OFDM systems. ISCAS Shaodan Ma, Ngai Wong, Tung-Sang Ng
2006	J	`jnl`	Two Algorithms for Fast and Accurate Passivity-Preserving Model Order Reduction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ngai Wong, Venkataramanan Balakrishnan, Cheng-Kok Koh, Tung-Sang Ng
2005	A	`conf`	Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration. ICCAD Ngai Wong, Venkataramanan Balakrishnan
2004	—	`conf`	A fast Newton/Smith algorithm for solving algebraic Riccati equations and its application in model order reduction. ICASSP (5) Ngai Wong, Venkataramanan Balakrishnan, Cheng-Kok Koh, Tung-Sang Ng
2004	J	`jnl`	Fast detection of instability in sigma-delta modulators based on unstable embedded limit cycles. IEEE Trans. Circuits Syst. II Express Briefs Ngai Wong, Tung-Sang Ng
2004	A*	`conf`	Passivity-preserving model reduction via a computationally efficient project-and-balance scheme. DAC Ngai Wong, Venkataramanan Balakrishnan, Cheng-Kok Koh
2003	—	`conf`	A Second-Order Cone Bounding Algorithm for Robust Minimum Variance Beamforming. European Summer School on Multi-AgentControl Ngai Wong, Venkataramanan Balakrishnan, Tung-Sang Ng
2003	—	`conf`	A geometrical approach to robust minimum variance beamforming. ICASSP (5) Ngai Wong, Tung-Sang Ng, Venkataramanan Balakrishnan
2003	J	`jnl`	DC stability analysis of high-order, lowpass ΣΔ modulators with distinct unit circle NTF zeros. IEEE Trans. Circuits Syst. II Express Briefs Ngai Wong, Tung-Sang Ng
2002	—	`conf`	Limit cycles in embedded high-order, lowpass sigma-delta modulators with distinct NTF zeros. DSP Ngai Wong, Tung-Sang Ng
2002	—	`conf`	State-trajectory behavior in high-order, lowpass sigma-delta modulators with distinct NTF zeros. DSP Ngai Wong, Tung-Sang Ng
2001	—	`conf`	An efficient algorithm for downconverting multiple bandpass signals using bandpass sampling. ICC Ngai Wong, Tung-Sang Ng
2001	—	`conf`	Improved roundoff noise performance in a direct-form IIR filter using a modified delta operator. ISCAS (2) Ngai Wong, Tung-Sang Ng