Haoran Shi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Outcome Prediction

Top Venues

ChineseCSCW (2)

Genom. Proteom. Bioinform.

Publications

Wanlin Zhou, Haoran Shi, Zhiqiang Wang, Yuxin Huang, Lin Ni, Xudong Chen, Yan Liu, Haojie Li, Caixia Li, Yaxi Liu
Identification of Highly Repetitive Enhancers with Long-range Regulation Potential in Barley via STARR-seq. Genom. Proteom. Bioinform. 22 (1) (2024)
Haoran Shi, Honghai Li
Haptic Perception Research and Facility Design for Virtual Spaces. HCI (5) (2024)
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
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR (2023)
Haoran Shi, Shijun Liu, Li Pan
Domain modeling for scenario sensing and edge decision-making. EDGE (2023)
Yali Jiang, Haoran Shi, Zehua Sun, Jingyuan Ding, Fanyu Kong
Shortest path core-selection incentive for federated learning platform with medical applications. Comput. Biol. Medicine 165 (2023)
Haoran Shi, Guanjun Liu, Kaiwen Zhang, Ziyuan Zhou, Jiacun Wang
MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Haoran Shi, Lixin Ji, Shuxin Liu, Kai Wang, Xinxin Hu
Collusive anomalies detection based on collaborative markov random field. Intell. Data Anal. 26 (6) (2022)
Gaojie Wang, Liqiang Wang, Shijun Liu, Haoran Shi, Li Pan
ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdom. ChineseCSCW (2) (2022)
Haoran Shi, Faxing Lu, Ling Wu, Guang Yang
Optimal trajectories of multi-UAVs with approaching formation for target tracking using improved Harris Hawks optimizer. Appl. Intell. 52 (12) (2022)
Max Ng, Darshit Jagetiya, Xing Gao, Haoran Shi, Jerry Gao, Jia Liu
Autonomous Vehicles Using Deep Learning. BigDataService (2022)
Haoran Shi
UWB-based automatic follow-up detection intelligent robot for substation. ICISCAE (2022)
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
A Data-Centric Framework for Composable NLP Workflows. CoRR (2021)
Xiaoguang Li, Juan Zhu, Haoran Shi, Zijian Cong
Surface Defect Detection of Seals Based on K-Means Clustering Algorithm and Particle Swarm Optimization. Sci. Program. 2021 (2021)
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
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) (2020)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR (2019)
Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing
Toward Unsupervised Text Content Manipulation. CoRR (2019)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA (2019)
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
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) (2019)
Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing
A Neural Architecture for Automated ICD Coding. ACL (1) (2018)
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
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR (2018)
Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong
The impact of conference ranking systems in computer science: a comparative regression analysis. Scientometrics 116 (2) (2018)
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
Towards Automated ICD Coding Using Deep Learning. CoRR (2017)