Zhiping Lin
Associate Professor
Works on multidimensional systems, statistical and biomedical signal processing and machine learning.
Zhiping Lin's lab at NTU works on learning theory & optimization, signal processing & information theory and medical image analysis. 85 papers since 2023, 4 at top venues, mostly Pattern Recognition and Information Sciences.
At a glance
- papers, 2023–2026
- 22/ year
- at T1 venues
- 5%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 20 papers2026 · T1 1 · collecting
- 18 papers2025 · T1 0
- 22 papers2024 · T1 1
- 25 papers2023 · T1 2
T1 venuesOtherVenues: Pattern Recognition, Information Sciences, Neurocomputing, AAAI, ACM MM
Research focuspaper titles that use each topic's words
- Learning theory & optimization17 papers
- Medical image analysis11 papers
- Signal processing & information theory3 papers
- biomedical1 paper
- signal processing0 papers
Paper list
From DBLP.
202620 papers
- IEEE Trans. Circuits Syst. II Express BriefsA High-SFDR DDFS Based on Adaptive Recoding CORDIC and Sub-LSB Error Compensation (opens in a new tab)
- ISCASAccelerating Audio-driven 3D Facial Animation Training with a Compressive Sensing Framework (opens in a new tab)
- Pattern RecognitionAttribute graph adjusted trace ratio linear discriminant analysis for feature extraction (opens in a new tab)
- TPAMI (T1)Box-Free Model Watermarks are Prone to Black-Box Removal Attacks (opens in a new tab)
- Pattern RecognitionDecision forest with fast-determined optimal parameter intervals of base learners (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.DQSA: Dynamic Quantized Self-Attention for Multi-Task Encrypted Network Traffic Classification (opens in a new tab)
- Knowl. Based Syst.FACT: Feature Adaptive Continual-learning Tracker for multiple object tracking (opens in a new tab)
- IEEE Internet Things J.IL-DiffTSF: Invertible Latent Diffusion for Probabilistic Time Series Forecasting (opens in a new tab)
- ISCASISAC for Intelligent Transportation: Ray-Tracing, Clutter Cancellation, and Sensing-Aided Beamforming (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.MOFM: A Multiple-in-One Flow Mamba for Unregistered Multi-Modal Image Fusion (opens in a new tab)
- IEEE Trans. Veh. Technol.Multistatic Sensing for Target Localization in ISAC Systems With Dynamic and Unknown-Location Transmitters (opens in a new tab)
- IEEE Signal Process. Lett.Nonintrusive Watermarking for CycleGAN (opens in a new tab)
202518 papers
- Information SciencesAn analytic formulation of convolutional neural network learning for pattern recognition (opens in a new tab)
- APSIPAAn Improved Method for Image Shadow Removal by Combining Deterministic and Stochastic Models (opens in a new tab)
- ACM MMAnalytic Continual Test-Time Adaptation for Multi-Modality Corruption (opens in a new tab)
- APSIPAAutomatic Dependent Surveillance-Broadcast Preamble Classification for Spoofing Detection (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Class-Specific Prompt Learning for Vision-Language Models (opens in a new tab)
- IEEE Signal Process. Lett.Efficient DOA Estimation for Coprime Array via Bi-Nuclear Schatten-p Norm Minimization (opens in a new tab)
- IEEE Trans. Aerosp. Electron. Syst.Efficient MVDR Beamformer Employing Multistage Forward/Backward Averaging Scheme (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Fast Multiview Anchor-Graph Clustering (opens in a new tab)
- IEEE Trans. Instrum. Meas.Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals (opens in a new tab)
- ISCASHarnessing Forecast Uncertainty in Deep Learning for Time Series Anomaly Detection with Posterior Distribution Scoring (opens in a new tab)
- ISCASKalman Filtering based Target Tracking for Multistatic Sensing in ISAC Systems (opens in a new tab)
- Knowl. Based Syst.Multi-modality integrated class incremental learning networks for 3D object recognition (opens in a new tab)
202422 papers
- ISCASA Method for Out-of-Distribution Detection in Encrypted Mobile Traffic Classification (opens in a new tab)
- VTC SpringA Novel Geometric Solution for Moving Target Localization Through Multistatic Sensing in the ISAC System (opens in a new tab)
- ISCASA Novel Non-profiling Side-Channel Attack on Masked Devices with Connectivity Matrix (opens in a new tab)
- Signal Process.A Nyström-based low-rank unitary MVDR beamforming scheme (opens in a new tab)
- ISCASA Simulated Annealing Based Approach for Near-Optimal Sensor Selection in TDOA Localization System (opens in a new tab)
- EMBCA Three-Stage Semi-Supervised Learning Approach to Spine Image Segmentation (opens in a new tab)
- Pattern Recognit. Lett.A three-stream fusion and self-differential attention network for multi-modal crowd counting (opens in a new tab)
- APCCASAn Energy-Efficient and High-Accuracy Spiking Neural Network Utilizing Asynchronous CORDIC for On-FPGA STDP Learning (opens in a new tab)
- AAAI (T1)DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning (opens in a new tab)
- Knowl. Based Syst.Efficient correntropy-based multi-view clustering with alignment discretization (opens in a new tab)
- Neural Comput. Appl.Explored seeds generation for weakly supervised semantic segmentation (opens in a new tab)
- Information SciencesFast correntropy-based multi-view clustering with prototype graph factorization (opens in a new tab)
202325 papers
- J. Sci. Comput.A Generalized Non-convex Method for Robust Tensor Completion (opens in a new tab)
- IEEE Trans. Circuits Syst. II Express BriefsA Multi-Scale Channel Attention Network for Prostate Segmentation (opens in a new tab)
- ISCASA Residual-Remainder Coupled Unlimited Sampling Framework for High Dynamic Range Signal Conversion (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.An Accelerated Maximally Split ADMM for a Class of Generalized Ridge Regression (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification (opens in a new tab)
- TIP (T1)Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering (opens in a new tab)
- J. Ambient Intell. Humaniz. Comput.Biomedical image classification based on a feature concatenation and ensemble of deep CNNs (opens in a new tab)
- Information SciencesDeterministic bridge regression for compressive classification (opens in a new tab)
- Neural Comput. Appl.Face photo-sketch recognition based on multi-directional line features projection (opens in a new tab)
- BioCASGas/Odor Qualitative and Quantitative Estimation Methodology for a Bionic Electronic Nose (opens in a new tab)
- IECONGenerative sEMG Deep Learning for Early Prediction of Locomotion with Small Training Datasets (opens in a new tab)
- CVPR (T1)GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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