Hongjun An

According to our database, Hongjun An authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Physics in Next-token Prediction.

Hongjun An, Yiliang Song, Xuelong Li

CoRR, 2024

SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context.

Hongjun An, Yifan Chen, Zhe Sun, Xuelong Li

CoRR, 2024

StreakNet-Arch: An Anti-scattering Network-based Architecture for Underwater Carrier LiDAR-Radar Imaging.

Xuelong Li, Hongjun An, Guangying Li, Xing Wang, Guanghua Cheng, Zhe Sun

CoRR, 2024

2023

Low-Resolution Face Recognition and Sports Training Action Analysis Based on Wireless Sensors.

Hongjun An, Heng Gao

J. Circuits Syst. Comput., January, 2023

2022

DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.

Juhyung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Jinhee Jang, Dongmyung Shin, Hongjun An, Jongho Lee

IEEE Trans. Medical Imaging, 2022

Coil2Coil: Self-supervised MR image denoising using phased-array coil images.

Juhyung Park, Dongwon Park, Hyeong-Geol Shin, Eun-Jung Choi, Hongjun An, Minjun Kim, Dongmyung Shin, Se Young Chun, Jongho Lee

CoRR, 2022

Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation.

Shiyang Zhou, Jinghua Zhu, Heran Xi, Hongjun An

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

Multi-View Attention Networks with Contrastive Predictive Coding for Sequential Recommendation.

Hongjun An, Jinghua Zhu, Heran Xi, Shiyang Zhou

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

DeepResp: Deep learning solution for respiration-induced B₀ fluctuation artifacts in multi-slice GRE.

Hongjun An, Hyeong-Geol Shin, Sooyeon Ji, Woojin Jung, Sehong Oh, Dongmyung Shin, Juhyung Park, Jongho Lee

NeuroImage, 2021

Deep reinforcement learning-designed radiofrequency waveform in MRI.

Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee

Nat. Mach. Intell., 2021

DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI.

Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee

CoRR, 2021

DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues.

Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee

CoRR, 2021