📍 I am a Research Scientist at the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. I completed my PhD at Nanyang Technological University (NTU), where I had the privilege of working under the supervision of Prof. Xie Lihua and Dr. Chen Zhenghua. I received my M.Eng. from Huazhong University of Science and Technology (HUST) in 2021, supervised by Prof. Liang Gao and Prof. Xinyu Li, and my B.Eng. from Central South University (CSU) in 2018.

🔬 My research interests span Graph Neural Networks (GNN), Multivariate Time-Series (MTS) data, Unsupervised Domain Adaptation (UDA), Foundation Models, and Data Synthesis, with a focus on time-series representation learning and transfer learning.

📢 Recent Highlights

2026

• May 📝 One paper on MTS representation learning with GNN has been accepted by IEEE TPAMI 2026!
• Mar 📝 One paper on time-series source-free UDA has been accepted by IEEE TPAMI 2026!
• Mar 📝 Our work on GNN-driven RUL benchmarking published in MSSP has been recognized as an ESI Highly Cited Paper!
• Mar 🚀 Our project Cities of Tomorrow, funded by the Ministry of National Development (MND), has been approved!

2025

• Nov 📝 One paper on time-series foundation models has been accepted by AAAI 2026!
• Nov 🎓 I earned my PhD degree — congratulations, Dr. Wang!
• Oct 📝 One paper on explainable sleep stage classification has been accepted by IEEE SPMB 2025!
• Oct 📝 One paper on RNA–small molecule binding affinity prediction has been accepted by BIBM 2025!
• Sep 📝 One paper on RNA–small molecule binding site prediction has been accepted by Briefings in Bioinformatics 2025!
• Aug 🎓 Our work on MTS-UDA (SEA++) published in IEEE TPAMI has been featured as an A*STAR Highlight!
• Aug 📝 One paper on UDA for RUL benchmarking has been accepted by IEEE/CAA JAS 2025!
• Jul 📝 One paper on GNN-driven EEG emotion recognition has been accepted by Neural Networks 2025!
• Jun 🏆 I have been honored with the Chinese Government Award for Outstanding Self-financed Students Abroad — awarded to only 500 recipients worldwide each year!
• May 📝 One paper on MTS source-free UDA has been accepted by ACM KDD 2025!
• May 📝 One paper on time-series source-free UDA has been accepted by MSSP 2025!
• Feb 📝 One paper on GNN for RUL benchmarking has been accepted by MSSP 2025!
• Feb 📝 One paper on evidential UDA for RUL prediction has been accepted by IEEE TIM 2025!
• Feb 📝 Our work on MTS representation learning with GNN published in IEEE TNNLS has been recognized as an ESI Highly Cited Paper!
• Jan 📝 One paper on GNN for multi-modality recommendation has been accepted by IEEE ISCAS 2025!

2024

• Nov 📝 One paper on GNN for RNA–small molecule binding affinity prediction has been accepted by Bioinformatics 2024!
• Sep 🎓 Our work on MTS representation learning with GNN published in IEEE TNNLS has been featured as an A*STAR Highlight!
• Aug 📝 One paper on MTS-UDA (SEA++) has been accepted by IEEE TPAMI 2024!

2023

• Nov 📝 Two papers on MTS representation learning and self-supervised learning with GNN have been accepted by AAAI 2024!
• Oct 📝 One paper on MTS representation learning with GNN has been accepted by IEEE TNNLS 2023!
• Jan 📝 One paper on MTS representation learning via hierarchical correlation pooling has been accepted by IEEE TAI 2023!

2022

• Nov 📝 One paper on MTS unsupervised domain adaptation (SEA) has been accepted by AAAI 2023!
• Jan 📝 One paper on knowledge graph-enhanced representation learning has been accepted by IEEE TASE 2022!