Luyang Fang

According to our database, Luyang Fang authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors.

Luyang Fang, Yongkai Chen, Jiazhang Cai, Ping Ma, Wenxuan Zhong

CoRR, May, 2026

NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning.

Haoran Lu, Luyang Fang, Wenxuan Zhong, Ping Ma

CoRR, May, 2026

Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.

Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma

Artif. Intell. Rev., January, 2026

Large language models for bioinformatics.

Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Quant. Biol., 2026

Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts.

Luyang Fang, Tao Wang, Ping Ma, Xiaoming Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.

Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.

Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma

CoRR, July, 2025

Tensor analysis of animal behavior by matricization and feature selection.

Beichen Wang, Jiazhang Cai, Luyang Fang, Motokazu Tsujikawa, Ping Ma, Yuk Fai Leung

Comput. Biol. Medicine, 2025

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training.

Luyang Fang, Cheng Meng, Lin Zhao, Tao Wang, Tianming Liu, Wenxuan Zhong, Ping Ma

Big Data Min. Anal., 2025

Efficient Multi-task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment.

Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches.

Shushan Wu, Luyang Fang, Jinan Zhang, T. N. Sriram, Stephen James Coshatt, Feraidoon Zahiri, H. Alan Mantooth, Jin Ye, Wenxuan Zhong, Ping Ma, WenZhan Song

IEEE Trans. Smart Grid, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai

CoRR, 2024

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification.

Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

Knowledge Distillation of LLM for Education.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

CoRR, 2023

Using GPT-4 to Augment Unbalanced Data for Automatic Scoring.

Luyang Fang, Gyeong-Geon Lee, Xiaoming Zhai

CoRR, 2023