Chunlei Tang

According to our database, Chunlei Tang authored at least 23 papers between 2017 and 2023.

Collaborative distances:

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

2023

Discovering Lin-Kernighan-Helsgaun heuristic for routing optimization using self-supervised reinforcement learning.

Qi Wang, Chengwei Zhang, Chunlei Tang

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Mastering construction heuristics with self-play deep reinforcement learning.

Qi Wang, Yuqing He, Chunlei Tang

Neural Comput. Appl., February, 2023

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.

Yucheng Jin, Yun Xiong, Dan Shi, Yifei Lin, Lifang He, Yao Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang

J. Am. Medical Informatics Assoc., February, 2023

Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning.

Qi Wang, Kenneth H. Lai, Chunlei Tang

Inf. Sci., 2023

MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs.

Mingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao Zhang, Chunlei Tang

Proceedings of the Database Systems for Advanced Applications, 2023

Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.

Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Literature data.

Chunlei Tang

Dataset, May, 2022

Using an optimized generative model to infer the progression of complications in type 2 diabetes patients.

Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang

BMC Medical Informatics Decis. Mak., 2022

Generative Adversarial Imitation Learning to Search in Branch-and-Bound Algorithms.

Qi Wang, Suzanne V. Blackley, Chunlei Tang

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance.

Chunlei Tang, Joseph M. Plasek, Xiao Shi, Meihan Wan, Haohan Zhang, Min-Jeoung Kang, Liqin Wang, Sevan M. Dulgarian, Yun Xiong, Jing Ma, David W. Bates, Li Zhou

IEEE J. Biomed. Health Informatics, 2021

Deep reinforcement learning for transportation network combinatorial optimization: A survey.

Qi Wang, Chunlei Tang

Knowl. Based Syst., 2021

Radiology Report Generation for Rare Diseases via Few-shot Transformer.

Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Addressing Disparities in Diabetes Using Temporal Fairness Models.

Joseph M. Plasek, Chunlei Tang, Xiaoxia Wang, Yun Xiong, Yangyong Zhu, Yanming He, Patricia C. Dykes, David W. Bates, Li Zhou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

An annotated dataset of tongue images.

Chunlei Tang, Dan Shi, Xiao Shi, Yun Xiong

Dataset, July, 2020

Following data as it crosses borders during the COVID-19 pandemic.

Joseph M. Plasek, Chunlei Tang, Yangyong Zhu, Yajun Huang, David W. Bates

J. Am. Medical Informatics Assoc., 2020

2019

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.

Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates, Li Zhou

BMC Medical Informatics Decis. Mak., 2019

Visualizing Literature Review Theme Evolution on Timeline Maps: Comparison Across Disciplines.

Chunlei Tang, Yangyong Zhu, Suzanne V. Blackley, Joseph M. Plasek, Meihan Wan, Li Zhou, Jing Ma, David W. Bates

IEEE Access, 2019

Data Reconstruction Based on Temporal Expressions in Clinical Notes.

Zhikun Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Min-Jeoung Kang, Patricia C. Dykes, David W. Bates, Li Zhou

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Predicting Disease-related Associations by Heterogeneous Network Embedding.

Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression.

Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Yun Xiong, David W. Bates, Li Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients.

Haohan Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Jing Ma, Li Zhou, David W. Bates

Proceedings of the AMIA 2018, 2018

2017

Comment Topic Evolution on a Cancer Institution's Facebook Page.

Li Zhou, Joseph M. Plasek, Ronen Rozenblum, David W. Bates, Chunlei Tang

Appl. Clin. Inform., 2017

Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map.

Chunlei Tang, Haohan Zhang, Kenneth H. Lai, Yuxuan She, Yun Xiong, Li Zhou

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017