Lipo Wang
Associate Professor
Works on computational intelligence, including neural networks, fuzzy systems and data mining.
Lipo Wang's lab at NTU works on data management & big data. 21 papers since 2023, 1 at top venues, mostly Expert Systems with Applications and Information Sciences.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 5%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 1
- 6 papers2024 · T1 0
- 7 papers2023 · T1 0
T1 venuesOtherVenues: Expert Systems with Applications, Information Sciences, Nature Communications
Research focuspaper titles that use each topic's words
- fuzzy1 paper
- Data management & big data0 papers
- fuzzy systems0 papers
- computational intelligence0 papers
- data mining0 papers
Paper list
From the lab homepage.
20261 paper
- ApplicationsProgressive anchoring-driven consistent dual reconstruction for cross-domain open-mode process monitoring
20257 papers
- Gram-Schmidt Process", Neural Processing Letters, 57:27A Novel Non-Iterative Training Method for CNN Classifiers Using Gram-Schmidt Process
- 35406-35420An Inertial Odometry and Enhanced Occupancy Grid Inertial SLAM for Legged Robots
- Nature Communications (T1)Discriminating Single-Molecule Binding Event from Diffraction-Limited Fluorescence
- Drug Discovery TodayGaps between medical biology and AI drug discovery
- IEEE Transactions on Systems Man Cybernetics-SystemsNight-Time Traffic Light Recognition Based on Enhancement-Guided Object Detection
- Information SciencesUnified Graph-Based Framework for Visual Explainability in Convolutional Neural Networks
- TechnologiesY.; Zheng, Y.; Chattopadhyay, P.; Wang, L. Vision Transformers for Image
20246 papers
- Expert Systems with ApplicationsBGaitR-Net: An Effective Neural Model for Occlusion Reconstruction in Gait Sequences by Exploiting the Key Pose Information
- ElectronicsDeep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey
- IEEE AccessExplainable Image Recognition with Graph-based Feature Extraction
- IEEE Sensors JournalFeature Entropy Adaptive Network for Weak Magnetic Signal Classification
- IEEE Transactions on Industrial ElectronicsTBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection
- Advanced Engineering InformaticsTFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition
20237 papers
- Expert Systems with ApplicationsA spectral-ensemble deep random vector functional link network for passive brain–computer interface
- IEEE Transactions on Services ComputingA Workflow Scheduling Approach with Modified Fuzzy Adaptive Genetic Algorithm in IaaS Clouds
- Engineering Applications of Artificial IntelligenceAn enhanced ensemble deep random vector functional link network for driver fatigue recognition
- Scientific ReportsCOVID‑19 prediction in India using recurrent neural networks, Scientific
- IEEE Sensors JournalHigh-Precision Magnetic Field Reconstruction and Anomaly Classification
- IEEE Transactions on Industry ApplicationsLoop Optimization Noise-Reduced LSTM Based Classifier for PD Detection
- IEEE Transactions on Instrumentation and MeasurementSemantic Learning for Analysis of Overlapping LPI Radar Signals
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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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
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