Haoran Shi

According to our database, Haoran Shi authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

Shortest path core-selection incentive for federated learning platform with medical applications.

Yali Jiang, Haoran Shi, Zehua Sun, Jingyuan Ding, Fanyu Kong

Comput. Biol. Medicine, October, 2023

MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse.

Haoran Shi, Guanjun Liu, Kaiwen Zhang, Ziyuan Zhou, Jiacun Wang

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments.

Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu

CoRR, 2023

Domain modeling for scenario sensing and edge decision-making.

Haoran Shi, Shijun Liu, Li Pan

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022

Collusive anomalies detection based on collaborative markov random field.

Haoran Shi, Lixin Ji, Shuxin Liu, Kai Wang, Xinxin Hu

Intell. Data Anal., 2022

Optimal trajectories of multi-UAVs with approaching formation for target tracking using improved Harris Hawks optimizer.

Haoran Shi, Faxing Lu, Ling Wu, Guang Yang

Appl. Intell., 2022

UWB-based automatic follow-up detection intelligent robot for substation.

Haoran Shi

Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

Autonomous Vehicles Using Deep Learning.

Max Ng, Darshit Jagetiya, Xing Gao, Haoran Shi, Jerry Gao, Jia Liu

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021

Surface Defect Detection of Seals Based on K-Means Clustering Algorithm and Particle Swarm Optimization.

Xiaoguang Li, Juan Zhu, Haoran Shi, Zijian Cong

Sci. Program., 2021

2020

A Data-Centric Framework for Composable NLP Workflows.

Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies.

Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He

ACM Trans. Intell. Syst. Technol., 2019

Toward Unsupervised Text Content Manipulation.

Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing

CoRR, 2019

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.

Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang

Proceedings of the AMIA 2019, 2019

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

The impact of conference ranking systems in computer science: a comparative regression analysis.

Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong

Scientometrics, 2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

CoRR, 2018

A Neural Architecture for Automated ICD Coding.

Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Towards Automated ICD Coding Using Deep Learning.

Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing

CoRR, 2017