Wenxuan Zhong

According to our database, Wenxuan Zhong authored at least 31 papers between 2005 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

Wahkon: A Statistically Principled Deep RKHS Superposition Network.

Yongkai Chen, Wenxuan Zhong, Ping Ma

CoRR, May, 2026

A Single Revision Step Improves Token-Efficient LLM Reasoning.

Yingchuan Zhang, Terry Ma, Wenxuan Zhong, Ping Ma

CoRR, February, 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

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

S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via Echocardiogram.

Xilin Gong, Yongkai Chen, Shushan Wu, Fang Wang, Ping Ma, Wenxuan Zhong

CoRR, May, 2025

Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation.

Shushan Wu, Bowen Yang, He Yang, Stephen James Coshatt, Xilin Gong, Ramviyas Parasuraman, Justin Conrad, Roberto Perdisci, Wenxuan Zhong, Jin Ye, Ping Ma, WenZhan Song

IEEE Internet Things J., March, 2025

Parsimonious Tensor Dimension Reduction.

Xin Xing, Peng Zeng, Youhui Ye, Wenxuan Zhong

J. Comput. Graph. Stat., 2025

Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association.

Yongkai Chen, Shushan Wu, Ping Ma, Wenxuan Zhong

J. Comput. Graph. Stat., 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

2024

Orthogonal multimodality integration and clustering in single-cell data.

Yufang Liu, Yongkai Chen, Haoran Lu, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

BMC Bioinform., December, 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

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

2023

An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation.

Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., January, 2023

Subsampling in Large Graphs Using Ricci Curvature.

Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Smoothing Splines Approximation Using Hilbert Curve Basis Selection.

Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., July, 2022

CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks.

Jun Yu, Huimin Cheng, Jinan Zhang, Qi Li, Shushan Wu, Wenxuan Zhong, Jin Ye, Wen-Zhan Song, Ping Ma

IEEE Internet Things J., 2022

Model-based sparse coding beyond Gaussian independent model.

Xin Xing, Rui Xie, Wenxuan Zhong

Comput. Stat. Data Anal., 2022

2021

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.

Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang

BMC Medical Informatics Decis. Mak., 2021

LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model.

Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., 2021

2020

Minimax Nonparametric Parallelism Test.

Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong

J. Mach. Learn. Res., 2020

A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research.

Jingyi Zhang, Wenxuan Zhong, Ping Ma

CoRR, 2020

Sufficient dimension reduction for classification using principal optimal transport direction.

Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Large-scale optimal transport map estimation using projection pursuit.

Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series.

Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2016

Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model.

Xiaoxiao Sun, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, Ping Ma

BMC Bioinform., 2016

2015

Matrix Discriminant Analysis With Application to Colorimetric Sensor Array Data.

Wenxuan Zhong, Kenneth S. Suslick

Technometrics, 2015

2005

RSIR: regularized sliced inverse regression for motif discovery.

Wenxuan Zhong, Peng Zeng, Ping Ma, Jun S. Liu, Michael Yu Zhu

Bioinform., 2005