Huiping Zhuang

According to our database, Huiping Zhuang authored at least 55 papers between 2016 and 2025.

Collaborative distances:

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

2025

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

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

Inf. Sci., 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

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

C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets.

Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei

CoRR, 2024

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

Yi Yang, Lei Zhong, 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

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

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

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 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

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

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

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