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- [1] Physics-Informed Deep Learning with Kalman Filter Mixture: A New State Prediction Model 2024 58TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, CISS, 2024,
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- [5] Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 540 - 547
- [6] Physics-informed Learning for Identification and State Reconstruction of Traffic Density 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 2653 - 2658
- [7] Towards physics-informed deep learning for turbulent flow prediction KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 1457 - 1466
- [9] Physics Informed Deep Learning for Traffic State Estimation 2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,