Mehul Motani
Associate Professor
Works on information theory and wireless communications and on machine learning and AI applied to healthcare and networks.
Mehul Motani's lab at NUS works on signal processing & information theory and learning theory & optimization. 53 papers since 2023, 12 at top venues, mostly AAAI and AISTATS. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 23%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 12 papers2026 · T1 1 · collecting
- 17 papers2025 · T1 6
- 11 papers2024 · T1 2
- 13 papers2023 · T1 3
T1 venuesOtherVenues: AAAI, AISTATS, ICML, ISIT, ICC
Research focuspaper titles that use each topic's words
- Signal processing & information theory13 papers
- Learning theory & optimization9 papers
- communications3 papers
- wireless1 paper
- wireless communications0 papers
Paper list
From DBLP.
202612 papers
- IEEE Trans. Commun.Absorbing Markov Chain-Based Analysis of Age of Information in Discrete-Time Dual-Queue Systems (opens in a new tab)
- ICCAge of Information for Discrete-Time Dual-Queue Systems: An Absorbing Markov Chain Perspective (opens in a new tab)
- ISITAge of Information under Source-Aware Truncated ARQ in Multisource Status Updating Systems (opens in a new tab)
- IEEE Trans. Wirel. Commun.Distortion Optimization for Remote Online Estimation of the Wiener Process (opens in a new tab)
- GECCO CompanionEvolutionary Identification of Scientific Equations Using Language-Model-Guided Symbolic Regression (opens in a new tab)
- GECCOGeneralization Analysis of Symbolic Regression Algorithms via Stability Theory (opens in a new tab)
- GECCO CompanionHot off the Press: FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation (opens in a new tab)
- GECCO CompanionHot off the Press: Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms (opens in a new tab)
- IEEE Trans. Wirel. Commun.Position-Aware Hybrid Beamforming for ISAC: Leveraging RIS and Stacked Intelligent Metasurfaces (opens in a new tab)
- AAAI (T1)Tab-PET: Graph-Based Positional Encodings for Tabular Transformers (opens in a new tab)
- GECCOTeaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation (opens in a new tab)
- IEEE Trans. Commun.The Dispersion of Broadcast Channels With Degraded Message Sets Using Spherical Codebooks (opens in a new tab)
202517 papers
- GECCOAnalysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression (opens in a new tab)
- IEEE J. Sel. Areas Commun.Channel Modeling, Performance Analysis, and Probabilistic Shaping for Underwater Wireless Optical Communications (opens in a new tab)
- GECCO CompanionDiscovering Shared Function Structures with Adaptable Parameters for Multi-Level Modeling via Symbolic Regression (opens in a new tab)
- ICML (T1)FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation (opens in a new tab)
- Journal of Artificial Intelligence ResearchImproving Mutual Information Based Feature Selection by Boosting Unique Relevance (opens in a new tab)
- CHILMulti-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data (opens in a new tab)
- GECCO CompanionMutual Information-Based Evolutionary Feature Construction via Minimizing Redundancy and Maximizing Relevance (opens in a new tab)
- AISTATS (T1)Ordered V-information Growth: A Fresh Perspective on Shared Information (opens in a new tab)
- ICML (T1)Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms (opens in a new tab)
- ICML (T1)Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study (opens in a new tab)
- MobiCom (T1)Poster: High-Performance Optical Camera Communications for ISAC Localization and Sensing (opens in a new tab)
- MobiSysPoster: OCC Is Better Than Terahertz Wave for 6G (opens in a new tab)
202411 papers
- J. Medical Syst.Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach (opens in a new tab)
- GECCO CompanionEnhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits (opens in a new tab)
- CHILExplainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression (opens in a new tab)
- IEEE Commun. Mag.High-Performance OCC with Edge Processing on SPAD and Event-Based Cameras (opens in a new tab)
- CAILLMs as a System of Multiple Expert Agents: An Approach to Solve the Abstraction and Reasoning Corpus (ARC) Challenge (opens in a new tab)
- GECCOMetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression (opens in a new tab)
- AISTATS (T1)Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data (opens in a new tab)
- ICCMulti-Task Generalizable Communication: Beyond the Information Bottleneck (opens in a new tab)
- AAAI (T1)Symbolic Regression Enhanced Decision Trees for Classification Tasks (opens in a new tab)
- CAISymbolic Regression for Discovery of Medical Equations: A Case Study on Glomerular Filtration Rate Estimation Equations (opens in a new tab)
- ICTAISyREC: A Symbolic-Regression-Based Ensemble Combiner (opens in a new tab)
202313 papers
- Trans. Mach. Learn. Res.AP: Selective Activation for De-sparsifying Pruned Networks (opens in a new tab)
- GECCO CompanionDistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression (opens in a new tab)
- GECCO CompanionEvolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability (opens in a new tab)
- Found. Trends Commun. Inf. TheoryFinite Blocklength Lossy Source Coding for Discrete Memoryless Sources (opens in a new tab)
- ICDLLearning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments (opens in a new tab)
- AAAI (T1)Local Intrinsic Dimensional Entropy (opens in a new tab)
- IEEE Trans. Green Commun. Netw.Low Latency Energy-Efficient Neural Decoders for Block Codes (opens in a new tab)
- MLHCMulti-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence (opens in a new tab)
- IEEE Internet Things J.Multiple Task Resource Allocation Considering QoS in Energy Harvesting Systems (opens in a new tab)
- Trans. Mach. Learn. Res.Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks (opens in a new tab)
- ISITPointwise Sliced Mutual Information for Neural Network Explainability (opens in a new tab)
- ICLR (T1)Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NUSFall 2027
School of Computing PhD in Computer Science
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