Wee Peng Tay
Professor
Works on network signal processing and machine learning, including distributed inference, social learning and graph network algorithms.
Wee Peng Tay's lab at NTU works on signal processing & information theory, efficient training & inference and distributed, cloud & edge systems. 74 papers since 2023, 29 at top venues, mostly AAAI and NeurIPS. 7 PhD students. 19 alumni, most often to ByteDance and Microsoft.
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 39%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 14 papers2026 · T1 7 · collecting
- 19 papers2025 · T1 6
- 19 papers2024 · T1 8
- 22 papers2023 · T1 8
T1 venuesOtherVenues: AAAI, NeurIPS, ICML, CVPR, ICLR
Research focuspaper titles that use each topic's words
- Signal processing & information theory12 papers
- Distributed, cloud & edge systems10 papers
- signal processing6 papers
- network5 papers
- Efficient training & inference2 papers
Paper list
From the lab homepage.
202614 papers
- Automatica“A privacy-preserving scheme with system-dimension masking for cloud-based model predictive control
- —“LiveCANNBench: Benchmark SWE AI coding for ascend CANN,” (opens in a new tab)
- NeurIPS (T1)Adaptive multi-view graph contrastive learning via fractional continuous dynamics
- ECCV (T1)Agent-OBJ: Prompt-driven 3D adversaries for multi-modal perception
- AAAI (T1)Conformal prediction for multi-source detection on a network
- UAI (T1)Contrastive conformal sets
- EMNLP (T1)CultureVidBench: Benchmarking cultural understanding in text-to-video generation
- IEEE Journal on Selected Areas in CommunicationsCustomized OTFS pulse compression and waveform optimization for enhancing target sensing in ISAC systems
- —FedErase: Personalized federated unlearning for text-to-image diffusion models
- IEEE International Conference Acoustics, Speech, and Signal Processing, Barcelona, Spain, MayGraph distribution-valued signals: a Wasserstein space perspective
- TPAMI (T1)Hierarchical information embeddings with neural ODEs for personalized federated learning
- —Joint spatio-temporal subgraph filter learning
202519 papers
- —A generalized graph signal processing framework for multiple hypothesis testing over networks
- IEEE Transactions on Signal ProcessingA graph signal processing perspective of network multiple hypothesis testing with false discovery rate control
- IEEE Transactions on Dependable and Secure ComputingData-driven regularized inference privacy
- —Distance-based Laplacian algebra for effective subgraph filter learning
- AAAI (T1)Efficient training of neural fractional-order differential equation via adjoint backpropagation
- —Generalized graph signal reconstruction via the uncertainty principle
- IEEE Transactions on Signal and Information Processing over NetworksGraph distributional signals for regularization in graph neural networks
- IEEE Transactions on Industrial InformaticsHigh-performance optimization model based on novel conditional value at risk metric for power grids with high wind power penetration
- IEEE Transactions on Intelligent VehiclesLane-aware dynamic spatio-temporal transformer for unimodal trajectory prediction
- IJCNNModulo video recovery via selective spatiotemporal vision transformer
- CVPR (T1)Multi-modal aerial-ground cross-view place recognition with neural ODEs
- NeurIPS (T1)Neural fractional attention differential equations
202419 papers
- AAAI (T1)Coupling graph neural networks with fractional order continuous dynamics: A robustness study
- AAAI (T1)DistilVPR: Cross-Modal knowledge distillation for visual place recognition
- NeurIPS (T1)Distributed-order fractional graph operating network
- ICML (T1)Graph neural networks with a distribution of parametrized graphs
- TMLR (T1)Heterogeneous graph adaptive flow network
- IEEE International Symposium on Circuits & Systems, Singapore, MayHybrid event-frame neural spike detector for neuromorphic implantable BMI
- IEEE Transactions on Wireless CommunicationsIntegrated transmit waveform and RIS phase shift design for LPI detection and communication
- IEEE Transactions on Signal ProcessingKernel based reconstruction for generalized graph signal processing
- IEEE Transactions on Signal ProcessingModeling sparse graph sequences and signals using generalized graphons
- Information SciencesMulti-armed linear bandits with latent biases
- TMLR (T1)Node-specific space selection via localized geometric hyperbolicity in graph neural networks
- TGRSPointDifformer: Robust point cloud registration with neural diffusion and transformer
202322 papers
- —A sub-meter accurate positioning using 5G double-difference carrier phase measurements
- —Advancing graph neural networks through joint time-space dynamics
- NeurIPS (T1)Adversarial robustness in graph neural networks: A Hamiltonian energy conservation approach
- IEEE Transactions on Wireless CommunicationsApproximate maximum-likelihood RIS-aided positioning
- IEEE International Symposium on Circuits & Systems, California, USA, MayArchitectural exploration of neuromorphic compression based neural sensing for next-gen wireless implantable-BMI
- —Coupling graph neural networks with non-integer order dynamics: A robustness study
- Foundations and Trends® in Signal ProcessingGeneralizing Graph Signal Processing: High Dimensional Spaces, Models and Structures
- IJCAI (T1)Graph neural convection-diffusion with heterophily
- TMMGraph neural networks with triple attention for few-shot learning
- IEEE Transactions on Signal ProcessingGraph signal processing over a probability space of shift operators
- CVPR (T1)HypLiLoc: Towards effective LiDAR pose regression with hyperbolic fusion
- TIP (T1)Image patch-matching with graph-based learning in street scenes
Where alumni went19 listed, 50% to industry
Industry 3Academia 3
Most often to
- ByteDance
- Microsoft
- Tencent
Also to
- the Institute of High Performance Computing
- TUM
- University of Science and Technology of China
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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