RFID Data-Driven Vehicle Speed Prediction Using Adaptive Kalman Filter. - Anqi Feng; Liping Qian 001; Yupin Huang (MLICOM, 2018)

Speed Prediction of High Speed Mobile Vehicle Based on Extended Kalman Filter in RFID System. - Yupin Huang; Liping Qian 001; Anqi Feng (MLICOM, 2018)

RFID Data-Driven Vehicle Speed Prediction via Adaptive Extended Kalman Filter. - Yupin Huang; Liping Qian 001; Anqi Feng; Yuan Wu 001; Wei Zhu 006 (Sensors, 2018)

Deep RL-Based Time Scheduling and Power Allocation in EH Relay Communication Networks. - Li Ping Qian 001; Anqi Feng; Xu Feng; Yuan Wu 001 (ICC, 2019)

Computational offloading Strategy based on Dynamic Particle Swarm for Multi-User Mobile Edge Computing. - Qiuyue Wei; Li'ang Liu; Fansi Wei; Haibo Ge; Anqi Feng; Yan Wang; Wenhao Li (SSCI, 2019)

Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks. - Yupin Huang; Liping Qian 001; Anqi Feng; Ningning Yu; Yuan Wu 001 (IEEE Access, 2019)

Optimal SIC Ordering and Computation Resource Allocation in MEC-Aware NOMA NB-IoT Networks. - Li Ping Qian 001; Anqi Feng; Yupin Huang; Yuan Wu 001; Bo Ji 001; Zhiguo Shi 001 (IEEE Internet Things J., 2019)

RFID环境下基于自适应卡尔曼滤波的高速移动车辆速度预测 (RFID Data-driven Vehicle Speed Prediction Using Adaptive Kalman Filter). - Anqi Feng; Liping Qian 001; Yupin Huang; Yuan Wu 001 (计算机科学, 2019)

Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering. - Li Ping Qian 001; Anqi Feng; Ningning Yu; Wenchao Xu 001; Yuan Wu 001 (IEEE Internet Things J., 2020)

边缘计算构架下基于孤立森林算法的DoS异常检测 (DoS Anomaly Detection Based on Isolation Forest Algorithm Under Edge Computing Framework). - Jia Chen; Jinyuan Ouyang; Anqi Feng; Yuan Wu 001; Liping Qian 001 (计算机科学, 2020)

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks. - Liang Huang 006; Xu Feng; Anqi Feng; Yupin Huang; Li Ping Qian 001 (Mob. Networks Appl., 2022)

Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations. - Anqi Feng; Yuan Xue 002; Yuli Wang; Chang Yan; Zhangxing Bian; Muhan Shao; Jiachen Zhuo; Rao P. Gullapalli; Aaron Carass; Jerry L. Prince (ISBI, 2023)

Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly. - Yuli Wang; Anqi Feng; Yuan Xue 002; Lianrui Zuo; Yihao Liu 003; Ari M. Blitz; Mark G. Luciano; Aaron Carass; Jerry L. Prince (ISBI, 2023)

Investigation of probability maps in deep-learning-based brain ventricle parcellation. - Yuli Wang; Anqi Feng; Yuan Xue 002; Muhan Shao; Ari M. Blitz; Mark D. Luciano; Aaron Carass; Jerry L. Prince (Image Processing, 2023)

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. - Chang Yan; Muhan Shao; Zhangxing Bian; Anqi Feng; Yuan Xue 002; Jiachen Zhuo; Rao P. Gullapalli; Aaron Carass; Jerry L. Prince (Image Processing, 2023)

Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease. - Anqi Feng; Dimitri Johnson; Grace R. Reilly; Loka Thangamathesvaran; Ann Nampomba; Mathias Unberath; Adrienne W. Scott; Craig K. Jones (CoRR, 2023)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs. - Anqi Feng; Zhangxing Bian; Blake E. Dewey; Alexa Gail Colinco; Jiachen Zhuo; Jerry L. Prince (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers. - Cong Gao 003; Anqi Feng; Xingtong Liu; Russell H. Taylor; Mehran Armand; Mathias Unberath (IEEE Trans. Medical Imaging, 2024)

Becoming a Xia: Constructing Cultural Identity in the History of Wuxia Games in China. - Tianming Cao; Hongya Zhou; Anqi Feng (Games Cult., 2025)