September 2024, two papers on federated learning were published in JAuto and Euro-Par 2024 respectively.
June 2024, presented a paper at the Intelligent Vehicle Symposium (IV 2024).
March 2023, a paper was accepted by the 57th CISS.
July 2022, a paper was accepted by IJCNN.
Research Experience
September 2024, published a paper on federated learning in JAuto, accelerating trajectory prediction training and improving performance; another paper at Euro-Par 2024 addressing the long-tail issue in federated classification.
June 2024, presented a safe reinforcement learning policy for cutting-in scenarios in ACC at the Intelligent Vehicle Symposium.
March 2023, a paper on predicting the location of cellphones using BLE signals for keyless vehicle entry was accepted by the 57th CISS.
July 2022, a paper on adversarial learning for intrusion detection with a deep network was accepted by IJCNN.
Background
Research Interests: Federated Learning, Reinforcement Learning, Intrusion Detection, etc. Brief Introduction: Focused on research in the fields of intelligent vehicles and cybersecurity.
Miscellany
Interests: Enjoys playing games such as Diablo, Starcraft, Warcraft, Silent Hill, Quake, Call of Duty, Darksiders, The Elder Scrolls, Dark Souls, etc.
Favorite figures: John Carmack, Donald Knuth, Akira Yamaoka, Spielberg, David Lynch, Christian Bale, Leonardo DiCaprio, Nicolas Cage, Johnny Depp, Brad Pitt, etc.
Hobbies: Daydreaming but no particular fondness. Family-oriented.