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Apr 2026 I presented an invited talk on “Graph Neural Networks for Smart Meters Monitoring” at the 37th EURAMET TC-Flow Annual Meeting, Villeurbanne, France.
Dec 2025 Our paper “Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring” has been accepted for publication in Reliability Engineering & System Safety!
Dec 2025 I gave an invited talk on “Conformalizing Spatial-Temporal Graph Neural Networks with In-Context Learning” at the Dynamics and Vibration Tea Time Talks, University of Cambridge, UK.
Oct 2025 Our paper RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems has been accepted in IEEE Transactions on Instrumentation and Measurement!
Oct 2025 I received the EPFL EDCE Mobility Award, granted to selected PhD students to undertake an academic visit at an external research institution!
Oct 2025 I presented a contributed talk on “Physics-Guided Graph Inference for District Heating Networks” at the Physics-Enhancing Machine Learning (PEML) 2025 conference at the Institute of Physics, London (1–3 October 2025).
Sep 2025 I have joined the Data, Vibration and Uncertainty (DVU) Group at the Department of Engineering, University of Cambridge, as a visiting researcher working with Prof. Alice Cicirello.
Sep 2025 I received a Travel Grant awarded by the Institute of Physics (IoP) for the Physics-Enhancing Machine Learning (PEML) Workshop, London, United Kingdom.
Sep 2025 IMOS Lab – EPFL organized and contributed to the 9th Intelligent Maintenance Conference (IMC 2025) in Lausanne. I presented a talk: “Computational Sensing for Infrastructure Through the Lens of Graph Machine Learning”.
Aug 2025 Our paper Efficient Unsupervised Domain Adaptation Regression for Spatial–Temporal Sensor Fusion (TikUDA) has been accepted at IEEE Internet of Things Journal!
May 2025 I gave an invited talk on “Physics-Enhanced Neural Networks for Energy Systems” at the Let’s Talk Research event, LauzHack, EPFL, Lausanne, Switzerland.
Jul 2024 Our paper Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things has been accepted by IEEE Internet of Things Journal!
Jun 2024 I gave an invited talk on “Graph Neural Networks for Environmental and Infrastructure Sensing” at the Federal Institute of Metrology (METAS), Bern, Switzerland.
May 2024 I am currently visiting the Section of Automation & Control at Aalborg University.
May 2024 Our paper Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation has been accepted by EUSIPCO 2024. See you in Lyon!
Feb 2024 I have successfully passed my PhD candidacy exam at EPFL!
Aug 2023 Our paper Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems has been accepted by IEEE SENSORS 2023. See you in Vienna!
Feb 2023 I have started my Ph.D. at EPFL.
Jan 2023 Our paper Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network has been accepted by IEEE Geoscience and Remote Sensing Letters.
Nov 2022 I successfully defended my master’s thesis with a full grade at National Tsing Hua University (NTHU).
Jun 2022 My paper Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution has been accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
May 2022 I joined PranaQ as a machine learning engineer intern.
Sep 2020 I joined National Tsing Hua University (NTHU) and the Wireless Communications & Signal Processing (WCSP) Lab as an M.Sc. student.
Sep 2019 I graduated from the University of Guilan.