Publications

$^\dagger$: Corresponding author.

[2024]

Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Zigian Zeng, Cen Chen”GACL: Exemplar-Free Generalized Analytic Continual Learning”, Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS) 2024.

Huiping Zhuang, Yuchen Liu, Di Fang, Run He, Kai Tong, Zigian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau”F-OAL: Foward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning”, Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS) 2024.

Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura”Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models”, Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS) 2024.

X. Yue, X. Zhang, Y. Chen, C. Zhang, M. Lao, H. Zhuang, X. Qian, and H. Li, “MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks,” In ACM Multimedia 2024.

H. Zhuang, R. He, K. Tong, Z. Zeng, C. Chen, and Z. Lin, “DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning”, AAAI, vol. 38, no. 15, pp. 17237-17244, Mar. 2024.

Z. Zeng, Y. Hong, H. Dai, H. Zhuang, and C. Chen, “ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference”, AAAI, vol. 38, no. 17, pp. 19506-19514, Mar. 2024.

C. Chen, S. Xie, J. Liu, Z. Cheng, Z. Zeng and H. Zhuang, “Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications,” in IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 4108-4119, Feb. 2024, doi: 10.1109/TCE.2024.3364677.

[2023]

Z. Weng, H. Zhuang, F. Luo, H. Li and Z. Lin, “Few-Shot Contrastive Transfer Learning With Pretrained Model for Masked Face Verification,” in IEEE Transactions on Multimedia, vol. 26, pp. 3871-3883, 2024, doi: 10.1109/TMM.2023.3316920.

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li. “Mitigating Memorization of Noisy Labels by Clipping the Model Prediction” International Conference of Machine Learning 2023

Huiping. Zhuang, Zhenyu. Weng, Run. He, Zhiping. Lin, Ziqian. Zeng. “ GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-shot Class Incremental Task”, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

Zhou, Hao, Fulin Luo, Huiping Zhuang, Zhenyu Weng, Xiuwen Gong, and Zhiping Lin. “Attention Multi-hop Graph and Multi-scale Convolutional Fusion Network for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing (2023).

[2022]

Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin”ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection”, Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS) 2022.

Weng, Zhenyu, Huiping Zhuang, Haizhou Li, Balakrishnan Ramalingam, Rajesh Elara Mohan, and Zhiping Lin. “Online Multi-Face Tracking With Multi-Modality Cascaded Matching.” IEEE Transactions on Circuits and Systems for Video Technology (2022).

Man, Siu Shing, Yingqian Guo, Alan Hoi Shou Chan, and Huiping Zhuang$^\dagger$. “Acceptance of Online Mapping Technology among Older Adults: Technology Acceptance Model with Facilitating Condition, Compatibility, and Self-Satisfaction.” ISPRS International Journal of Geo-Information 11, no. 11 (2022): 558.

Li, Hanhui, Xinggan Peng, Huiping Zhuang$^\dagger$, and Zhiping Lin. “Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection.” In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3438-3442. IEEE, 2022.

X. Peng, Y. Lin, Q. Cao, Y. Cen, H. Zhuang and Z. Lin, “Traffic Anomaly Detection in Intelligent Transport Applications with Time Series Data using Informer,” 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3309-3314, doi: 10.1109/ITSC55140.2022.9922142.

[2021]

Huiping Zhuang, Yi Wang, Qinglai Liu, and Zhiping Lin. “Fully Decoupled Neural Network Learning Using Delayed Gradients,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3069883.

Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. “Blockwise Recursive Moore-Penrose Inverse for Network Learning,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2021.3064241.

Huiping Zhuang, Zhenyu Weng, Fulin Luo, Kar-Ann Toh, Haizhou Li, Zhiping Lin. “Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks” International Conference of Machine Learning 2021 (spotlight).

Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. “Correlation Projection for Analytic Learning of a Classification Network,” Neural Process Lett (2021). https://doi.org/10.1007/s11063-021-10570-2.

Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. “Training Multilayer Neural Networks Analytically Using Kernel Projection,” 2021 IEEE International Symposium on Circuits and Systems.

[2020]

Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. “Training a multilayer network with low-memory kernel-and-range projection.” Journal of the Franklin Institute 357.1 (2020): 522-550.

Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li and Zhiping Lin. “Robust Real-time Face Tracking with or without Face Masks.” 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARV). IEEE, 2020.

[2019]

Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. “A Low-Memory Learning Formulation for a Kernel-and-Range Network.” 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019.

Oh, B. S., Zhuang, H., Toh, K. A., & Lin, Z. (2019). Augmented EMD for complex-valued univariate signals. IET Signal Processing, 13(4), 424-433.

[2016-2018]

Huiping Zhuang, Beom-Seok Oh, Dongyun Lin, Kar-Ann Toh, and Zhiping Lin. “Multicomponent Signal Decomposition Using Morphological Operations.” In 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), pp. 1-5. IEEE, 2018.

Su, Wendan, Huiping Zhuang, and Xiaohong Qiu. “Moving targets detection and tracking based on improved codebook algorithm and Kalman filtering.” 2017 36th Chinese Control Conference (CCC). IEEE, 2017.

Huiping Zhuang, Jieying Lu, and Junhui Li. “Joint estimation of state and parameter with maximum likelihood method.” 2017 36th Chinese Control Conference (CCC). IEEE, 2017.

Huiping Zhuang, and Junhui Li. “Robust two-stage Kalman filtering in presence of autoregressive input.” 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARV). IEEE, 2016.