Huazhen Lin

According to our database, Huazhen Lin authored at least 18 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Minimal Sufficient Representations for Self-interpretable Deep Neural Networks.

Zhiyao Tan, Liu Li, Huazhen Lin

CoRR, March, 2026

Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought.

Yuling Jiao, Yanming Lai, Huazhen Lin, Wensen Ma, Houduo Qi, Defeng Sun

CoRR, March, 2026

2025

Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees.

Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning.

Bin Liu, Yu Liu, Zhiqian Li, Jianghong Xiao, Guosheng Yin, Huazhen Lin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Olica: Efficient Structured Pruning of Large Language Models without Retraining.

Jiujun He, Huazhen Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Deep Transfer Learning: Model Framework and Error Analysis.

Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry Zhijian Yang

CoRR, 2024

Unsupervised Transfer Learning via Adversarial Contrastive Training.

Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang

CoRR, 2024

Generative adversarial learning with optimal input dimension and its adaptive generator architecture.

Zhiyao Tan, Ling Zhou, Huazhen Lin

CoRR, 2024

Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning.

Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo

CoRR, 2024

2022

Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach.

Jiakun Jiang, Huazhen Lin, Qingzhi Zhong, Yi Li

J. Multivar. Anal., 2022

2019

Functional response regression analysis.

Xuerong Chen, Haoqi Li, Hua Liang, Huazhen Lin

J. Multivar. Anal., 2019

Estimating population size of heterogeneous populations with large data sets and a large number of parameters.

Haoqi Li, Huazhen Lin, Paul Siu Fai Yip, Yuan Li

Comput. Stat. Data Anal., 2019

Covariance-insured screening.

Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li

Comput. Stat. Data Anal., 2019

2018

On the sign consistency of the Lasso for the high-dimensional Cox model.

Shaogao Lv, Mengying You, Huazhen Lin, Heng Lian, Jian Huang

J. Multivar. Anal., 2018

2016

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li

Bioinform., 2016

2013

Smoothed rank correlation of the linear transformation regression model.

Huazhen Lin, Heng Peng

Comput. Stat. Data Anal., 2013

Estimating a unitary effect summary based on combined survival and quantitative outcomes.

Huazhen Lin, Yi Li, Ming T. Tan

Comput. Stat. Data Anal., 2013

2009

An Application of Particle Swarm Optimization to Uncapacitated Multilevel Lot-Sizing Problems with Series Structure.

Han Yi, Ikou Kaku, Gengui Zhou, Jianhu Cai, Huazhen Lin

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009