Hongjun An

According to our database, Hongjun An authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

Sequence Search: Automated Sequence Design using Neural Architecture Search.

Rokgi Hong, Hongjun An, Sooyeon Ji, Jongho Lee

CoRR, April, 2026

Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidence in LLM Benchmarks.

Yiliang Song, Hongjun An, Jiangan Chen, Xuanchen Yan, Huan Song, Jiawei Shao, Xuelong Li

CoRR, March, 2026

Ruyi2 Technical Report.

Huan Song, Shuyu Tian, Junyi Hao, Minxiu Xu, Hongjun An, Yiliang Song, Jiawei Shao, Xuelong Li

CoRR, February, 2026

CreditAudit: 2^nd Dimension for LLM Evaluation and Selection.

Yiliang Song, Hongjun An, Jiangong Xiao, Haofei Zhao, Jiawei Shao, Xuelong Li

CoRR, February, 2026

Single-Pixel Vision-Language Model for Intrinsic Privacy-Preserving Behavioral Intelligence.

Hongjun An, Yiliang Song, Jiawei Shao, Zhe Sun, Xuelong Li

CoRR, January, 2026

Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity.

Hongjun An, Yiliang Song, Jiangan Chen, Jiawei Shao, Chi Zhang, Xuelong Li

CoRR, January, 2026

Motion Attitude Recognition Model Based on Multiscale Spatiotemporal Convolutional Networks.

Hongjun An, Yongda Zhuang

J. Circuits Syst. Comput., 2026

2025

Theoretical Foundations of Scaling Law in Familial Models.

Huan Song, Qingfei Zhao, Ting Long, Shuyu Tian, Hongjun An, Jiawei Shao, Chi Zhang, Xuelong Li

CoRR, December, 2025

AI Flow: Perspectives, Scenarios, and Approaches.

Hongjun An, Sida Huang, Siqi Huang, Ruanjun Li, Yuanzhi Liang, Jiawei Shao, Zihan Wang, Cheng Yuan, Chi Zhang, Hongyuan Zhang, Wenhao Zhuang, Xuelong Li

CoRR, June, 2025

Large model enhanced computational ghost imaging.

Yifan Chen, Hongjun An, Zhe Sun, Tong Tian, Mingliang Chen, Christian Spielmann, Xuelong Li

CoRR, March, 2025

StreakNet-Arch: An Anti-Scattering Network-Based Architecture for Underwater Carrier LiDAR-Radar Imaging.

Xuelong Li, Hongjun An, Haofei Zhao, Guangying Li, Bo Liu, Xing Wang, Guanghua Cheng, Guojun Wu, Zhe Sun

IEEE Trans. Image Process., 2025

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