Shenzhen (Full Virtual Style) | February 18- 21, 2022
2022 14th International Conference on Machine Learning and Computing (ICMLC 2022) was originally intended to be held in Shenzhen, China during Feb. 18- 21, 2022. However, due to the uncertainty and stricter travel restrictions caused by the global pandemic, the safety and well-being of all conference participants is our priority. After evaluating the current COVID-19 situation, the decision has been made to transform the in-person component of ICMLC 2022 into a full virtual conference experience.
| Welcome Speech addressed by Prof. Lin Huang | Opening Remarks addressed by Prof. JianqiangLi | |
.png) |
.png) |
|
| Keynote Speaker 1: Prof. Hui Xiong(Fellow of AAAS and IEEE) Hong Kong University of Science and Technology (Guangzhou), China |
Keynote Speaker 2: Prof. Yuhui Shi (IEEE Fellow) Southern University of Science and Technology, China |
|
.png) |
.png) |
|
| Keynote Speaker 3: Prof. Chengzhong Xu (IEEE Fellow) University of Macau, China |
Keynote Speaker 4: Prof. Shuanghua Yang (IET Fellow, SMIEEE) Southern University of Science and Technology, China |
|
.png) |
.png) |
Paper Title: Apple Leaf Disease Recognition Based on Attention Mechanics and Muti-Scale Feature Fusion
Authors: Hankun Chai, Zhiqiang and Jie Yang, Wuhan University of Technology and Engineering, China
Paper Title: A Peer-to-Peer Distributed Bisecting K-means
Presenter: Gao Haoyuan, Chinese Academy of Sciences, China
Paper Title: Single stock trading with deep reinforcement learning: A comparative study
Presenter: Jun GE, Zhejiang Lab, China
Paper Title: Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer
Presenter: Majed Alsadhan, Kansas State University, USA
Paper Title: ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation
Presenter: Chengkai Zhang, Beijing University of Posts and Telecommunications, China
Paper Title: 3D-Based Facial Emotion Recognition using Depthwise Separable Convolution
Presenter: Abubakar Hassan Sani, University of Electronics Science and Technology of China, China
Paper Title: Faster R-CNN with Generative Adversarial Occlusion Network for Object Detection
Presenter: Fenglie Li, Washington University in St. Louis, USA
Paper Title: Conditional Generative Adversarial Networks for Hyperspectral Image Classification
Presenter: Nianze Wu, Guangdong University of Finance and Economics, China
Paper Title: Self-supervised Depth Estimation with High Resolution Features and Non-local Information
Presenter: Rongying Jing, Beijing University of Posts and Telecommunications, China
Paper Title: Learning-based Vulnerability Detection in Binary Code
Presenter: Zhen Huang, DePaul University, USA
Paper Title: SGCNN for 3D Point Cloud Classification
Presenter: Shiyun Liu, Shanghai Jiao Tong University, China