IARCE 2024
2024 4th International Conference on Industrial Automation, Robotics and Control Engineering
Chengdu, China | November 15-17, 2024
IARCE 2024 was held successfully in Chengdu, China during November 15-17, 2024. It was organized by Southwest Jiaotong University, Beihang University and Chinese Society for Stereology, hosted by School of Computing and Artificial Intelligence, Institute of Artificial Intelligence, Southwest Jiaotong University, co-organized by Beijing University of Posts and Telecommunications, Hunan University of Science and Technology, Beijing Institute of Technology and Chongqing University. More than 260 participants attended IARCE 2024 and finished oral presentation.
Group Photos
Opening Address
Prof. Zhengyou He, Southwest Jiaotong University Prof. Yang Li, Beihang University, China
Keynote Speech
Prof. Dezhong Yao——University of Electronic Science and Technology of China, China
Prof. Honghai Liu——Harbin Institute of Technology, Shenzhen, China
Prof. Badong Chen——Xi'an Jiaotong University, China
Prof. Xingming Zhao——Fudan University, China
Closing Address
Dr. Xiaobo Zhang——Southwest Jiaotong University, China
Oral Presentation
| Best Paper Awards |
|
(R034) Title: A Dual-Graph Learning Framework with Sparse Adaptive Embedding for EEG Emotion Recognition Authors: Wenkang Liu, Fangkun Li, Yang Li (R047) Title: Parkinson's Disease Recognition Using Hybrid CNN-Transformer Model Authors: Al-Nahiyan Khushbu, Zhenxing Yang, Yutao Liu, Xiaobo Zhang |
| Outstanding Oral Presentation Award |
|
(R011) Title: A Defense Framework for Backdoor Attacks in Federated Learning Based on Client-Server Detection Presenter: Ding Chen (R028) Title: SNLADRCI for Aerial Dexterous Manipulation Presenter: Xinyue Zhang |
| Outstanding Poster Awards |
|
(R036) Title: Real-time Object Detection Based on Mamba and YOLOv8 Authors: Jie Wang, Wenyi Zhao, Caixi Liu, Huihua Yang, Wei Xu (R042) Title: Shared-Specific Feature Enhancement and Dual Distilled Contextual Graph Refinement Network for Multimodal Conversational Emotion Recognition Authors: Fangkun Li, Yulan Ma, Yang Li |
