| 2026 | AAAI | Conformal Prediction for Multi-Source Detection on a Network. | Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer |
| 2026 | ACL | LiveCANNBench: Benchmark SWE AI Coding for Ascend CANN. | Sijie Wang, Kai Zhao, Wee Peng Tay, Shuo Zhang, Chengwen Liu, Quanjiang Guo, Junhao ren, Xin Li, Heng Lian, Jingdi Lei, Rui She, Huacan Wang, Ronghao Chen |
| 2025 | AAAI | Neural Variable-Order Fractional Differential Equation Networks. | Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li |
| 2025 | AAAI | Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. | Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay |
| 2025 | CVPR | Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs. | Sijie Wang, Rui She, Qiyu Kang, Siqi Li, Disheng Li, Tianyu Geng, Shangshu Yu, Wee Peng Tay |
| 2025 | ECAI | Personalized Subgraph Federated Learning with Sheaf Collaboration. | Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay |
| 2025 | ICASSP | A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks. | Xingchao Jian, Martin Glz, Feng Ji, Wee Peng Tay, Abdelhak M. Zoubir |
| 2025 | ICASSP | Generalized Graph Signal Reconstruction via the Uncertainty Principle. | Yanan Zhao, Xingchao Jian, Feng Ji, Wee Peng Tay, Antonio Ortega |
| 2025 | ICCV | UAVScenes: A Multi-Modal Dataset for UAVs. | Sijie Wang, Siqi Li, Yawei Zhang, Shangshu Yu, Shenghai Yuan, Rui She, Quanjiang Guo, Jinxuan Zheng, Ong Kang Howe, Leonrich Chandra, Shrivarshann Srijeyan, Aditya Sivadas, Toshan Aggarwal, Heyuan Liu, Hongming Zhang, Chujie Chen, Junyu Jiang, Lihua Xie, Wee Peng Tay |
| 2025 | ICLR | Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. | Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay |
| 2025 | IJCNN | Modulo Video Recovery via Selective Spatiotemporal Vision Transformer. | Tianyu Geng, Feng Ji, Wee Peng Tay |
| 2024 | AAAI | Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. | Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay |
| 2024 | AAAI | PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. | Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian |
| 2024 | AAAI | DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. | Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay |
| 2024 | ICLR | Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. | Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay |
| 2024 | ICML | Graph Neural Networks with a Distribution of Parametrized Graphs. | See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay |
| 2024 | ISCAS | Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI. | Vivek Mohan, Wee Peng Tay, Arindam Basu |
| 2024 | ISIT | Spectral Convergence of Simplicial Complex Signals. | Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen |
| 2024 | VTC | Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals. | Disheng Li, Kai Zhao, Jun Lu, Yawei Zhang, Xiangdong An, Wee Peng Tay, Sirajudeen Gulam Razul |
| 2023 | AAAI | RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. | Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro |
| 2023 | CVPR | HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. | Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay |
| 2023 | ICASSP | Modulo EEG Signal Recovery Using Transformer. | Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay |
| 2023 | ICASSP | Kernel Ridge Regression for Generalized Graph Signal Processing. | Xingchao Jian, Wee Peng Tay |
| 2023 | ICIP | Robust Graph Neural Diffusion for Image Matching. | Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber |
| 2023 | ICML | Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. | Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay |
| 2023 | ICML | Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. | Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay |
| 2023 | IJCAI | Graph Neural Convection-Diffusion with Heterophily. | Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay |
| 2023 | ISCAS | Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. | Vivek Mohan, Wee Peng Tay, Arindam Basu |
| 2022 | ICASSP | Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal. | Xingchao Jian, Wee Peng Tay |
| 2022 | ICASSP | Preserving Trajectory Privacy in Driving Data Release. | Yi Xu, Chong Xiao Wang, Yang Song, Wee Peng Tay |
| 2022 | IJCAI | SGAT: Simplicial Graph Attention Network. | See Hian Lee, Feng Ji, Wee Peng Tay |
| 2021 | AAAI | Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. | Yang Song, Qiyu Kang, Wee Peng Tay |
| 2021 | ICASSP | Learning On Heterogeneous Graphs Using High-Order Relations. | See Hian Lee, Feng Ji, Wee Peng Tay |
| 2021 | WCNC | 5G Positioning Using Code-Phase Timing Recovery. | Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling |
| 2021 | WCNC | Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks. | Yang Song, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay |
| 2020 | GLOBECOM | Data-driven Privacy With Domain Regularization. | Chong Xiao Wang, Wee Peng Tay |
| 2020 | ICASSP | GFCN: A New Graph Convolutional Network Based on Parallel Flows. | Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay |
| 2020 | ICASSP | Privacy-Aware Quickest Change Detection. | Tze Siong Lau, Wee Peng Tay |
| 2019 | ICASSP | Asymptotically Optimal Quickest Change Detection under a Nuisance Change. | Tze Siong Lau, Wee Peng Tay |
| 2019 | ICASSP | A Privacy-preserving Diffusion Strategy over Multitask Networks. | Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei |
| 2019 | ICRA | UWB/LiDAR Fusion For Cooperative Range-Only SLAM. | Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen |
| 2018 | DASC | Hidden Markov Model for Masquerade Detection Based on Sequence Alignment. | Wei Qiu, Andy Wai Hoong Khong, Wee Peng Tay |
| 2018 | FUSION | Learning Correlation Graph and Anomalous Employee Behavior for Insider Threat Detection. | Pratibha Junshan Wang, Saurabh Aggarwal, Feng Ji, Wee Peng Tay |
| 2018 | ICASSP | Quickest Change Detection Under a Nuisance Change. | Tze Siong Lau, Wee Peng Tay |
| 2018 | ICASSP | Privacy-Aware Kalman Filtering. | Yang Song, Chong Xiao Wang, Wee Peng Tay |
| 2017 | ICASSP | Multilayer sensor network for information privacy. | Xin He, Wee Peng Tay |
| 2017 | ICASSP | Quickest change detection with unknown post-change distribution. | Tze Siong Lau, Wee Peng Tay, Venugopal V. Veeravalli |
| 2017 | ICASSP | A particle filter for sequential infection source estimation. | Wenchang Tang, Wee Peng Tay |
| 2017 | IPIN | Robust decentralized localization in impulsive noise. | Yang Song, Wee Peng Tay, Choi Look Law |
| 2017 | IPIN | Grid-based belief propagation. | Yang Song, Chong Xiao Wang, Wee Peng Tay, Choi Look Law |
| 2017 | ISIT | Inferring network topology from information cascades. | Feng Ji, Wenchang Tang, Wee Peng Tay, Edwin K. P. Change |
| 2016 | ICASSP | Privacy-preserving nonparametric decentralized detection. | Meng Sun, Wee Peng Tay |
| 2016 | ICASSP | Opportunistic spectrum access with temporal-spatial reuse in cognitive radio networks. | Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gati |
| 2015 | ICASSP | Localization of a moving non-cooperative RF target in NLOS environment using RSS and AOA measurements. | Chi Cheng, Wuhua Hu, Wee Peng Tay |
| 2015 | ICASSP | Network infection source identification under the SIRI model. | Wuhua Hu, Wee Peng Tay, Athul Harilal, Gaoxi Xiao |
| 2014 | FUSION | Generalized diffusion adaptation for energy-constrained distributed estimation. | Wuhua Hu, Wee Peng Tay |
| 2013 | WCNC | Distributed boundary estimation for spectrum sensing in cognitive radio networks. | Yi Zhang, Wee Peng Tay, Kwok Hung Li, Dominique Gati |
| 2012 | ACSSC | Session TA3b: Compressive estimation. | Wee Peng Tay |
| 2012 | FUSION | Localization for mixed near-field and far-field sources using data supported optimization. | Fuxi Wen, Wee Peng Tay |
| 2012 | FUSION | Tensor decomposition based R-dimensional matrix pencil method. | Fuxi Wen, Wee Peng Tay |
| 2012 | IJCNN | Extreme learning machines for intrusion detection. | Chi Cheng, Wee Peng Tay, Guang-Bin Huang |