Chai Kiat Yeo
Associate Professor
Works on anomaly detection, predictive analytics and machine learning, and on mobile ad hoc networks.
Chai Kiat Yeo's lab at NTU works on time series, anomaly & spatio-temporal data, data management & big data and recognition, detection & segmentation. 32 papers since 2023, 2 at top venues, mostly ICC and ICCV.
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 6%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 0
- 12 papers2024 · T1 1
- 8 papers2023 · T1 1
T1 venuesOtherVenues: ICC, ICCV, ICONIP, Neural Networks, TKDE
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data11 papers
- Recognition, detection & segmentation9 papers
- Data management & big data4 papers
- anomaly3 papers
- anomaly detection2 papers
Paper list
From DBLP.
20264 papers
- Multim. Tools Appl.A failure-analysis-inspired weakly supervised multi-scale circuit defect detection framework (opens in a new tab)
- IEEE Trans. Cogn. Commun. Netw.Causality-Aware Scheduling and Mobility Control in Multi-UAV Cooperative MEC via Graph-Enhanced Dual-Timescale Learning (opens in a new tab)
- Eng. Appl. Artif. Intell.Non-destructive Printed Circuit Board layout verification using a deterministic diffusion-guided framework (opens in a new tab)
- Comput. Ind. Eng.Process-aware graph-temporal framework for equipment prognostics with multimodal data at semiconductor final test (opens in a new tab)
20258 papers
- IEEE Trans. Fuzzy Syst.A Vertical Federated Multiview Fuzzy Clustering Method for Incomplete Data (opens in a new tab)
- Mob. Networks Appl.Computation Offloading in Mobile Edge Computing-enabled Blockchain Based on Contract and Matching Theory (opens in a new tab)
- IEEE Trans. Netw. Serv. Manag.Deep Reinforcement Learning-Based Contract Incentive and Computation Offloading for Mobile Edge Computing-Enabled Blockchain (opens in a new tab)
- ICCEMAD: Email Masquerade Attack Detection Based on Semi-Supervised Learning (opens in a new tab)
- Inf.Enhancing Weakly Supervised Video Anomaly Detection with Object-Centric Features (opens in a new tab)
- WACVInferring Past Human Actions in Homes with Abductive Reasoning (opens in a new tab)
- Wirel. NetworksOptimal computation offloading, dynamic pricing and admission control for mobile edge computing-enabled blockchain (opens in a new tab)
- Expert Syst. J. Knowl. Eng.T-VAE: Transformer-Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data (opens in a new tab)
202412 papers
- CAIA Lightweight Neural Network with Transformer to Predict Credit Default (opens in a new tab)
- IEEE Trans. Cloud Comput.DRL-Based Contract Incentive for Wireless-Powered and UAV-Assisted Backscattering MEC System (opens in a new tab)
- Inf. Process. Manag.Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies (opens in a new tab)
- TKDE (T1)Global-Local Feature Learning via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction (opens in a new tab)
- ICONIPKDAE: Kernel Density Auto-encoder for Semi-supervised Anomaly Detection with Limited Labeled Data (opens in a new tab)
- ITSCLearning Content-Aware Multi-Modal Joint Input Pruning via Birds'-Eye-View Representation (opens in a new tab)
- FRUCTMulti-Sensor Fusion for Human Action Detection and Human Motion Prediction (opens in a new tab)
- IEEE Trans. Mob. Comput.Pricing Optimization in MEC Systems: Maximizing Resource Utilization Through Joint Server Configuration and Dynamic Operation (opens in a new tab)
- Multim. Syst.Propagating prior information with transformer for robust visual object tracking (opens in a new tab)
- ITSCQuadBEV: An Efficient Quadruple-Task Perception Framework via Birds'-Eye-View Representation (opens in a new tab)
- Vis. Comput.Target-aware pooling combining global contexts for aerial tracking (opens in a new tab)
- SMARTCOMPThreshold Estimation-Assisted Unsupervised Patch-Wise Model for Industrial Inspection of Anomaly (opens in a new tab)
20238 papers
- IEEE Trans. Veh. Technol.Adaptive Spatial-Temporal Graph Convolution Networks for Collaborative Local-Global Learning in Traffic Prediction (opens in a new tab)
- ICICDTAnomalous Wafer Map Detection and Localization using Unsupervised Learning (opens in a new tab)
- ICCV (T1)DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification (opens in a new tab)
- APITMulti-Range Mixed Graph Convolution Network for Skeleton-Based Action Recognition (opens in a new tab)
- CAIOnline Spatio-temporal Action Detection for Eldercare (opens in a new tab)
- Neural Process. Lett.Siamese Centerness Prediction Network for Real-Time Visual Object Tracking (opens in a new tab)
- ITSCTowards Efficient 3D Object Detection in Bird's-Eye-Space for Autonomous Driving: A Convolutional-Only Approach (opens in a new tab)
- Neural NetworksTraffic forecasting with graph spatial-temporal position recurrent network (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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Data
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