Weicheng He

12 papers A 2B 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting Out-of-Distribution Detection in Real-Time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm.
IEEE Trans. Pattern Anal. Mach. Intell.
Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
2025 J jnl
Digital twin for the formal analysis of a depth of anesthesia controller.
Simul.
Mohamed Abdelsalam, Saddek Bensalem, Antoine Delacourt, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Ricardo Ruiz Nolasco, Doron Peled, Matthieu Ponchant, Ismail Ryad, Anastasios Temperekidis, Changshun Wu
2025 A conf
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection.
IROS
Weicheng He, Changshun Wu, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
2025 J jnl
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection.
CoRR
Weicheng He, Changshun Wu, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
2024 J jnl
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle.
CoRR
Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu
2024 A conf
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection.
IROS
Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
2024 J jnl
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection.
CoRR
Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
2024 B conf
Box-Based Monitor Approach for Out-of-Distribution Detection in YOLO: An Exploratory Study.
RV
Weicheng He, Changshun Wu, Saddek Bensalem
2023 — conf
A digital twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle.
PoEM Companion
Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu
2023 — conf
Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems.
AISoLA
Saddek Bensalem, Panagiotis Katsaros, Dejan Nickovic, Brian Hsuan-Cheng Liao, Ricardo Ruiz Nolasco, Mohamed Abd El Salam Ahmed, Tewodros A. Beyene, Filip Cano, Antoine Delacourt, Hasan Esen, Alexandru Forrai, Weicheng He, Xiaowei Huang, Nikolaos Kekatos, Bettina Könighofer, Michael Paulitsch, Doron Peled, Matthieu Ponchant, Lev Sorokin, Son Tong, Changshun Wu
2022 — conf
Towards a Digital Twin Architecture with Formal Analysis Capabilities for Learning-Enabled Autonomous Systems.
MESAS
Anastasios Temperekidis, Nikolaos Kekatos, Panagiotis Katsaros, Weicheng He, Saddek Bensalem, Hisham AbdElSabour, Mohamed Abdelsalam, Ashraf Salem
2018 — conf
Multi-mode Study of Deep Learning Applications in Acoustic Signal Processing.
SiPS
Sheng Guan, Weicheng He, Wenjin Gu, Yuanzhao Hou, Yun Chen, Xiaoyang Zeng