Dingwen Li

According to our database, Dingwen Li authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

Deformable convolution and coordinate attention for fast cattle detection.

Wenjie Yang, Jiachun Wu, Jinlai Zhang, Kai Gao, Ronghua Du, Zhuo Wu, Eksan Firkat, Dingwen Li

Comput. Electron. Agric., August, 2023

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation.

Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Li Xianwei, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Predicting Post-Operative Complications with Wearables: A Case Study with Patients Undergoing Pancreatic Surgery.

Jingwen Zhang, Dingwen Li, Ruixuan Dai, Heidy Cos, Gregory A. Williams, Lacey Raper, Chet W. Hammill, Chenyang Lu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Self-explaining Hierarchical Model for Intraoperative Time Series.

Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu

Proceedings of the IEEE International Conference on Data Mining, 2022

Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks.

Hanyang Liu, Michael Montana, Dingwen Li, Chase Renfroe, Thomas George Kannampallil, Chenyang Lu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks.

Hanyang Liu, Michael Montana, Dingwen Li, Thomas George Kannampallil, Chenyang Lu

CoRR, 2021

Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems.

Dingwen Li, Patrick G. Lyons, Jeff Klaus, Brian F. Gage, Marin Kollef, Chenyang Lu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Feasibility Study of Monitoring Deterioration of Outpatients Using Multimodal Data Collected by Wearables.

Dingwen Li, Jay Vaidya, Michael Wang, Ben Bush, Chenyang Lu, Marin Kollef, Thomas C. Bailey

ACM Trans. Comput. Heal., 2020

DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards.

Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Predicting Clinical Deterioration of Outpatients Using Multimodal Data Collected by Wearables.

Dingwen Li, Jay Vaidya, Michael Wang, Ben Bush, Chenyang Lu, Marin Kollef, Thomas C. Bailey

CoRR, 2018