Huiping Zhuang

According to our database, Huiping Zhuang authored at least 89 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares.

Kejia Fan, Jianheng Tang, Zhirui Yang, Feijiang Han, Jiaxu Li, Run He, Yajiang Huang, Anfeng Liu, Houbing Herbert Song, Yunhuai Liu, Huiping Zhuang

CoRR, August, 2025

FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions.

Jianheng Tang, Zhirui Yang, Jingchao Wang, Kejia Fan, Jinfeng Xu, Huiping Zhuang, Anfeng Liu, Houbing Herbert Song, Leye Wang, Yunhuai Liu

CoRR, August, 2025

RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior.

Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng

CoRR, August, 2025

Zero-shot event argument extraction by disentangling trigger from argument and role.

Zhengdong Lu, Ziqian Zeng, Jianwei Wang, Hanlin Wang, Weikai Lu, Huiping Zhuang

Int. J. Mach. Learn. Cybern., June, 2025

CALM: A Ubiquitous Crowdsourced Analytic Learning Mechanism for Continual Service Construction with Data Privacy Preservation.

Kejia Fan, Yajiang Huang, Jingyu He, Feijiang Han, Jianheng Tang, Huiping Zhuang, Anfeng Liu, Tian Wang, Mianxiong Dong, Houbing Herbert Song, Yunhuai Liu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop.

Tianxing Chen, Kaixuan Wang, Zhaohui Yang, Yuhao Zhang, Zanxin Chen, Baijun Chen, Wanxi Dong, Ziyuan Liu, Dong Chen, Tianshuo Yang, Haibao Yu, Xiaokang Yang, Yusen Qin, Zhiqiang Xie, Yao Mu, Ping Luo, Tian Nian, Weiliang Deng, Yiheng Ge, Yibin Liu, Zixuan Li, Dehui Wang, Zhixuan Liang, Haohui Xie, Rijie Zeng, Yunfei Ge, Peiqing Cong, Guannan He, Zhaoming Han, Ruocheng Yin, Jingxiang Guo, Lunkai Lin, Tianling Xu, Hongzhe Bi, Xuewu Lin, Tianwei Lin, Shujie Luo, Keyu Li, Ziyan Zhao, Ke Fan, Heyang Xu, Bo Peng, Wenlong Gao, Dongjiang Li, Feng Jin, Hui Shen, Jinming Li, Chaowei Cui, Yuchen, Yaxin Peng, Lingdong Zeng, Wenlong Dong, Tengfei Li, Weijie Ke, Jun Chen, Erdemt Bao, Tian Lan, Tenglong Liu, Jin Yang, Huiping Zhuang, Baozhi Jia, Shuai Zhang, Zhengfeng Zou, Fangheng Guan, Tianyi Jia, Ke Zhou, Hongjiu Zhang, Yating Han, Cheng Fang, Yixian Zou, Chongyang Xu, Qinglun Zhang, Shen Cheng, Xiaohe Wang, Ping Tan, Haoqiang Fan, Shuaicheng Liu, Jiaheng Chen, Chuxuan Huang, Chengliang Lin, Kaijun Luo, Boyu Yue, Yi Liu, Jinyu Chen, Zichang Tan, Liming Deng, Shuo Xu, Zijian Cai, Shilong Yin, Hao Wang, Hongshan Liu, Tianyang Li, Long Shi, Ran Xu, Huilin Xu, Zhengquan Zhang, Congsheng Xu, Jinchang Yang, Feng Xu

CoRR, June, 2025

FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models.

Shiyi Wang, Wenbo Li, Yiteng Chen, Qingyao Wu, Huiping Zhuang

CoRR, June, 2025

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models.

Yiteng Chen, Wenbo Li, Shiyi Wang, Huiping Zhuang, Qingyao Wu

CoRR, June, 2025

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making.

Wenbo Li, Shiyi Wang, Yiteng Chen, Huiping Zhuang, Qingyao Wu

CoRR, June, 2025

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models.

Lipei Xie, Yingxin Li, Huiping Zhuang

CoRR, June, 2025

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints.

Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng

CoRR, June, 2025

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning.

Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang

CoRR, June, 2025

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference.

Sihan Chen, Dan Zhao, Jongwoo Ko, Colby R. Banbury, Huiping Zhuang, Luming Liang, Tianyi Chen

CoRR, May, 2025

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data.

Jianheng Tang, Huiping Zhuang, Jingyu He, Run He, Jingchao Wang, Kejia Fan, Anfeng Liu, Tian Wang, Leye Wang, Zhanxing Zhu, Shanghang Zhang, Houbing Herbert Song, Yunhuai Liu

CoRR, May, 2025

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation.

Jianheng Tang, Huiping Zhuang, Di Fang, Jiaxu Li, Feijiang Han, Yajiang Huang, Kejia Fan, Leye Wang, Zhanxing Zhu, Shanghang Zhang, Houbing Herbert Song, Yunhuai Liu

CoRR, May, 2025

Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model.

Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang

CoRR, March, 2025

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.

Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang

CoRR, March, 2025

Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task.

Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen

IEEE Trans. Veh. Technol., February, 2025

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis.

Jianwei Wang, Junyao Yang, Haoran Li, Huiping Zhuang, Cen Chen, Ziqian Zeng

CoRR, February, 2025

X-SG²S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks.

Zihang Cheng, Huiping Zhuang, Chun Li, Xin Meng, Ming Li, Fei Richard Yu

CoRR, February, 2025

PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning.

Xianghu Yue, Yiming Chen, Xueyi Zhang, Xiaoxue Gao, Mengling Feng, Mingrui Lao, Huiping Zhuang, Haizhou Li

CoRR, January, 2025

Analytic Class Incremental Learning for Sound Source Localization With Privacy Protection.

Xinyuan Qian, Xianghu Yue, Jiadong Wang, Huiping Zhuang, Haizhou Li

IEEE Signal Process. Lett., 2025

Subkv: Quantizing Long Context KV Cache for Sub-Billion Parameter Language Models on Edge Devices.

Ziqian Zeng, Tao Zhang, Zhengdong Lu, Wenjun Li, Huiping Zhuang, Hongen Shao, Sin G. Teo, Xiaofeng Zou

Softw. Pract. Exp., 2025

Online weighted hashing for cross-modal retrieval.

Zining Jiang, Zhenyu Weng, Runhao Li, Huiping Zhuang, Zhiping Lin

Pattern Recognit., 2025

CrossACL: Analytic Continual Learning via Feature Cross for Hyperspectral Image Classification.

Yue Yan, Jianan Ji, Yuxuan Cheng, Ye Liu, Peiting Xiong, Huiping Zhuang

IEEE Geosci. Remote. Sens. Lett., 2025

DRViT: A dynamic redundancy-aware vision transformer accelerator via algorithm and architecture co-design on FPGA.

Xiangfeng Sun, Yuanting Zhang, Qinyu Wang, Xiaofeng Zou, Yujia Liu, Ziqian Zeng, Huiping Zhuang

J. Parallel Distributed Comput., 2025

An analytic formulation of convolutional neural network learning for pattern recognition.

Huiping Zhuang, Zhiping Lin, Yimin Yang, Kar-Ann Toh

Inf. Sci., 2025

ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning.

Yi Yang, Lei Zhong, Huiping Zhuang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models.

Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.

Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.

Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting.

Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings.

Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications.

Cen Chen, Songyu Xie, Jing Liu, Zhongyao Cheng, Ziqian Zeng, Huiping Zhuang

IEEE Trans. Consumer Electron., February, 2024

Explored seeds generation for weakly supervised semantic segmentation.

Terence Chow, Haojin Deng, Yimin Yang, Zhiping Lin, Huiping Zhuang, Shan Du

Neural Comput. Appl., January, 2024

Few-Shot Contrastive Transfer Learning With Pretrained Model for Masked Face Verification.

Zhenyu Weng, Huiping Zhuang, Fulin Luo, Haizhou Li, Zhiping Lin

IEEE Trans. Multim., 2024

A three-stream fusion and self-differential attention network for multi-modal crowd counting.

Haihan Tang, Yi Wang, Zhiping Lin, Lap-Pui Chau, Huiping Zhuang

Pattern Recognit. Lett., 2024

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning.

Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang

Neural Networks, 2024

Class incremental learning with analytic learning for hyperspectral image classification.

Huiping Zhuang, Yue Yan, Run He, Ziqian Zeng

J. Frankl. Inst., 2024

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.

Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

CoRR, 2024

Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice.

Junliang Li, Kai Ye, Haolan Kang, Mingxuan Liang, Yuhang Wu, Zhenhua Liu, Huiping Zhuang, Rui Huang, Yongquan Chen

CoRR, 2024

Analytic Continual Test-Time Adaptation for Multi-Modality Corruption.

Yufei Zhang, Yicheng Xu, Hongxin Wei, Zhiping Lin, Huiping Zhuang

CoRR, 2024

TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition.

Kejia Fan, Jiaxu Li, Songning Lai, Linpu Lv, Anfeng Liu, Jianheng Tang, Houbing Herbert Song, Huiping Zhuang

CoRR, 2024

FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking.

Rongzihan Song, Zhenyu Weng, Huiping Zhuang, Jinchang Ren, Yongming Chen, Zhiping Lin

CoRR, 2024

AIR: Analytic Imbalance Rectifier for Continual Learning.

Di Fang, Yinan Zhu, Runze Fang, Cen Chen, Ziqian Zeng, Huiping Zhuang

CoRR, 2024

Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models.

Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

CoRR, 2024

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.

Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan

CoRR, 2024

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.

Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen

CoRR, 2024

Analytic Federated Learning.

Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li, Tianyi Chen, Ziqian Zeng

CoRR, 2024

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.

Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen

CoRR, 2024

AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption.

Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

CoRR, 2024

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning.

Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

CoRR, 2024

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning.

Run He, Huiping Zhuang, Di Fang, Yizhu Chen, Kai Tong, Cen Chen

CoRR, 2024

Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens.

Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Cen Chen

CoRR, 2024

Joint-Neighborhood Product Quantization for Unsupervised Cross-Modal Retrieval.

Runhao Li, Zhenyu Weng, Yongming Chen, Huiping Zhuang, Yap-Peng Tan, Zhiping Lin

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning.

Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GACL: Exemplar-Free Generalized Analytic Continual Learning.

Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models.

Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks.

Xianghu Yue, Xueyi Zhang, Yiming Chen, Chengwei Zhang, Mingrui Lao, Huiping Zhuang, Xinyuan Qian, Haizhou Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Complex Motion Planning for Quadruped Robots Using Large Language Models.

Xiang Zhang, Run He, Kai Tong, Shuquan Man, Jingyu Tong, Haodong Li, Huiping Zhuang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.

Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator.

Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning.

Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference.

Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online Multi-Face Tracking With Multi-Modality Cascaded Matching.

Zhenyu Weng, Huiping Zhuang, Haizhou Li, Balakrishnan Ramalingam, Rajesh Elara Mohan, Zhiping Lin

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification.

Hao Zhou, Fulin Luo, Huiping Zhuang, Zhenyu Weng, Xiuwen Gong, Zhiping Lin

IEEE Trans. Geosci. Remote. Sens., 2023

Constant Sequence Extension for Fast Search Using Weighted Hamming Distance.

Zhenyu Weng, Huiping Zhuang, Haizhou Li, Zhiping Lin

CoRR, 2023

Neighborhood Learning from Noisy Labels for Cross-Modal Retrieval.

Runhao Li, Zhenyu Weng, Huiping Zhuang, Yongming Chen, Zhiping Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2023

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task.

Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Blockwise Recursive Moore-Penrose Inverse for Network Learning.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

IEEE Trans. Syst. Man Cybern. Syst., 2022

Fully Decoupled Neural Network Learning Using Delayed Gradients.

Huiping Zhuang, Yi Wang, Qinglai Liu, Zhiping Lin

IEEE Trans. Neural Networks Learn. Syst., 2022

Acceptance of Online Mapping Technology among Older Adults: Technology Acceptance Model with Facilitating Condition, Compatibility, and Self-Satisfaction.

Siu Shing Man, Yingqian Guo, Alan Hoi Shou Chan, Huiping Zhuang

ISPRS Int. J. Geo Inf., 2022

Logit Clipping for Robust Learning against Label Noise.

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.

Huiping Zhuang, Zhenyu Weng, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

CoRR, 2022

Analytic Learning of Convolutional Neural Network For Pattern Recognition.

Huiping Zhuang, Zhiping Lin, Yimin Yang, Kar-Ann Toh

CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.

Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Traffic Anomaly Detection in Intelligent Transport Applications with Time Series Data using Informer.

Xinggan Peng, Yuxuan Lin, Qi Cao, Yigang Cen, Huiping Zhuang, Zhiping Lin

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection.

Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Correlation Projection for Analytic Learning of a Classification Network.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

Neural Process. Lett., 2021

Training Multilayer Neural Networks Analytically Using Kernel Projection.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks.

Huiping Zhuang, Zhenyu Weng, Fulin Luo, Kar-Ann Toj, Haizhou Li, Zhiping Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Training a multilayer network with low-memory kernel-and-range projection.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

J. Frankl. Inst., 2020

Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

CoRR, 2020

Robust Real-time Face Tracking for People Wearing Face Masks.

Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li, Zhiping Lin

Proceedings of the 16th International Conference on Control, 2020

2019

Augmented EMD for complex-valued univariate signals.

Beom-Seok Oh, Huiping Zhuang, Kar-Ann Toh, Zhiping Lin

IET Signal Process., 2019

A Low-Memory Learning Formulation for a Kernel-and-Range Network.

Huiping Zhuang, Zhiping Lin, Kar-Ann Toh

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Multicomponent Signal Decomposition Using Morphological Operations.

Huiping Zhuang, Beom-Seok Oh, Dongyun Lin, Kar-Ann Toh, Zhiping Lin

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2016

Robust two-stage Kalman filtering in presence of autoregressive input.

Huiping Zhuang, Junhui Li

Proceedings of the 14th International Conference on Control, 2016