Huiping Zhuang

Orcid: 0000-0002-4612-5445

According to our database1, Huiping Zhuang authored at least 42 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications.
IEEE Trans. Consumer Electron., February, 2024

Explored seeds generation for weakly supervised semantic segmentation.
Neural Comput. Appl., January, 2024

Few-Shot Contrastive Transfer Learning With Pretrained Model for Masked Face Verification.
IEEE Trans. Multim., 2024

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.
CoRR, 2024

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.
CoRR, 2024

Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task.
CoRR, 2024

Analytic Federated Learning.
CoRR, 2024

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.
CoRR, 2024

AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption.
CoRR, 2024

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning.
CoRR, 2024

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning.
CoRR, 2024

Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens.
CoRR, 2024

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.
CoRR, 2024

Complex Motion Planning for Quadruped Robots Using Large Language Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Online Multi-Face Tracking With Multi-Modality Cascaded Matching.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Constant Sequence Extension for Fast Search Using Weighted Hamming Distance.
CoRR, 2023

Neighborhood Learning from Noisy Labels for Cross-Modal Retrieval.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.
Proceedings of the International Conference on Machine Learning, 2023

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Blockwise Recursive Moore-Penrose Inverse for Network Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Fully Decoupled Neural Network Learning Using Delayed Gradients.
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.
ISPRS Int. J. Geo Inf., 2022

Logit Clipping for Robust Learning against Label Noise.
CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.
CoRR, 2022

Analytic Learning of Convolutional Neural Network For Pattern Recognition.
CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Correlation Projection for Analytic Learning of a Classification Network.
Neural Process. Lett., 2021

Training Multilayer Neural Networks Analytically Using Kernel Projection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Training a multilayer network with low-memory kernel-and-range projection.
J. Frankl. Inst., 2020

Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization.
CoRR, 2020

Robust Real-time Face Tracking for People Wearing Face Masks.
Proceedings of the 16th International Conference on Control, 2020

2019
Augmented EMD for complex-valued univariate signals.
IET Signal Process., 2019

A Low-Memory Learning Formulation for a Kernel-and-Range Network.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Multicomponent Signal Decomposition Using Morphological Operations.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2016
Robust two-stage Kalman filtering in presence of autoregressive input.
Proceedings of the 14th International Conference on Control, 2016


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