Chee Wei Tan
Associate Professor
Works on generative AI, machine learning systems and distributed optimization, with applications to health informatics and education.
Chee Wei Tan's lab at NTU works on learning theory & optimization, generative & foundation models and language & society. 70 papers since 2023, 2 at top venues, mostly GLOBECOM and ISIT.
At a glance
- papers, 2023–2026
- 18/ year
- at T1 venues
- 3%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 15 papers2026 · T1 1 · collecting
- 21 papers2025 · T1 0
- 24 papers2024 · T1 1
- 10 papers2023 · T1 0
T1 venuesOtherVenues: GLOBECOM, ISIT, EMNLP, INFOCOM
Research focuspaper titles that use each topic's words
- Learning theory & optimization26 papers
- Language & society7 papers
- Generative & foundation models5 papers
- health informatics0 papers
- distributed optimization0 papers
Paper list
From DBLP.
202615 papers
- IEEE Trans. Wirel. Commun.Deep Reinforcement Learning-Based Block Coordinate Descent for Downlink Weighted Sum-Rate Maximization on AI-Native Wireless Networks (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Deep Reinforcement Learning-Based Task Offloading With Collaborative Inference in UAV-Assisted Mobile Edge Computing Networks (opens in a new tab)
- L@SDesign Before Code: Graph-Centrality-Guided Scaffolding for Programming Education at Scale (opens in a new tab)
- INFOCOM (T1)DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming (opens in a new tab)
- Knowl. Based Syst.FedMTL: Adaptive multi-teacher knowledge distillation for federated continual learning (opens in a new tab)
- Appl. Soft Comput.FedUnit: A Robust and Fair Federated Learning Framework for Malicious Client Detection and Free-Rider Contribution Evaluation (opens in a new tab)
- IEEE Signal Process. Mag.Future-Proofing Programmers: Optimal knowledge tracing for artificial intelligence-assisted personalized education [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective] (opens in a new tab)
- WCNCHierarchical Asynchronous Federated Learning over Space-Air-Ground Integrated Networks (opens in a new tab)
- L@SLLM Teams: Harnessing Large Language Models as Multi-Agent Teammates for Joint Problem-Solving (opens in a new tab)
- L@SMy Code Weapon: Adaptive Problem Recommendation and Knowledge Retention Scheduling in AI-assisted Programming Education (opens in a new tab)
- IEEE Trans. Mob. Comput.Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning (opens in a new tab)
- APNetOpenClaw-Shield: Network-Layer Defence Against Prompt Worm Propagation in Data Center Agent Deployments (opens in a new tab)
202521 papers
- IEEE Trans. Artif. Intell.A Credible and Fair Federated Learning Framework Based on Blockchain (opens in a new tab)
- USENIX ATCAccelerating Distributed Graph Learning by Using Collaborative In-Network Multicast and Aggregation (opens in a new tab)
- Comput. NetworksAccelerating personalized federated learning via dynamic gradient substitution and client selection (opens in a new tab)
- GLOBECOMAdversarial Water-Filling: Minimax Resource Allocation Optimization with Proximal Decomposition in Open RAN (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.All Points Guided Adversarial Generator for Targeted Attack Against Deep Hashing Retrieval (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning (opens in a new tab)
- ESORICSClient-Verifiable Federated Unlearning with Representation Decoupling (opens in a new tab)
- CAIContextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution (opens in a new tab)
- ISITDeep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization (opens in a new tab)
- IEEE Trans. Signal Inf. Process. over NetworksDeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks (opens in a new tab)
- IEEE Internet Things J.Energy-Efficient Trajectory Design and Unsupervised Clustering for AAV-Aided Fair Data Collections With Dense Ground Users (opens in a new tab)
- IEEE Softw.From Code Generation to Software Testing: AI Copilot With Context-Based Retrieval-Augmented Generation (opens in a new tab)
202424 papers
- EMNLP (T1)A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations (opens in a new tab)
- CAIAligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference (opens in a new tab)
- L@SAutomatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models (opens in a new tab)
- IEEE Open J. Commun. Soc.Coded Federated Learning for Communication-Efficient Edge Computing: A Survey (opens in a new tab)
- CISSContagion Source Detection by Maximum Likelihood Estimation and Starlike Graph Approximation (opens in a new tab)
- IEEE Big DataEfficient Federated Unlearning with Adaptive Differential Privacy Preservation (opens in a new tab)
- Br. J. Educ. Technol.Empowering student self-regulated learning and science education through ChatGPT: A pioneering pilot study (opens in a new tab)
- iThings/GreenCom/CPSCom/SmartData/CybermaticsEnergy Efficient and Low Latency Computation Offloading via Truly PPO in Mobile Edge Computing Networks with Multi-UAV (opens in a new tab)
- Comput. InformaticsFedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning (opens in a new tab)
- ITWFederated Learning Meets Network Coding: Efficient Coded Hierarchical Federated Learning (opens in a new tab)
- MSNFedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation (opens in a new tab)
- ECAIFedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients (opens in a new tab)
202310 papers
- Found. Trends Netw.Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms (opens in a new tab)
- Adv. Artif. Intell. Mach. Learn.EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry (opens in a new tab)
- IEEE Trans. Commun.Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing (opens in a new tab)
- ICPADSFormation Control Optimization via Virtual Leader Exploration with Deep Reinforcement Learning for Unmanned Aerial Vehicles (opens in a new tab)
- WiOptImproved Predictive Beam Tracking in ISAC Based on Transceiver Division Structure (opens in a new tab)
- IEEE J. Biomed. Health InformaticsMEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management (opens in a new tab)
- EntropyNatural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review (opens in a new tab)
- GLOBECOMNeural Sum Rate Maximization with Deep Unrolling (opens in a new tab)
- IEEE Commun. Lett.On Symmetric Multilevel Diversity Coding System With Linear Computations (opens in a new tab)
- Big Data Cogn. Comput.Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review (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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