2023 the 6th International Conference on Big Data Management

 

Zhuhai, China | February 17-20, 2023

 

2023 the 6th International Conference on Big Data Management (ICBDM 2023) was held in Zhuhai, China during Feb. 17-20, 2023 in hybrid with virtual style.

 

Welcome Speech: Prof. Lin Huang   Opening Remarks: Prof. Jianqiang Li
     
Keynote Speaker 1: Prof. Dapeng Wu (IEEE Fellow)
City University of Hong Kong, Hong Kong, China
  Keynote Speaker 2: Prof. Ponnuthurai Nagaratnam Suganthan (IEEE Fellow)
Nanyang Technological University, Singapore
     
 
     
Keynote Speaker 3: Prof. Shuanghua Yang (IET Fellow, SMIEEE)
University of Reading, UK
  Keynote Speaker 4: Assoc. Prof. Yiwen Wang
Hong Kong University of Science and Technology, HK
     
 
     
Invited Speaker 1: Assoc. Prof. Dong Huang
South China Agricultural University, China
  Invited Speaker 2: Assoc. Prof. Jing Zhang
Southeast University, China
     
 
     
Invited Speaker 3: Dr. Xiucai Ye
University of Tsukuba, Japan
   
     
   

 

Best Student Paper Awards:

 

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



Best Presentation Awards


Session 1

Paper Title: A Peer-to-Peer Distributed Bisecting K-means

Presenter: Gao Haoyuan, Chinese Academy of Sciences, China


Session 2

Paper Title: Single stock trading with deep reinforcement learning: A comparative study

Presenter: Jun GE, Zhejiang Lab, China


Session 3

Paper Title: Few-Shot Learning in Object Classification using Meta-Learning with Between-Class Attribute Transfer

Presenter: Majed Alsadhan, Kansas State University, USA


Session 4

Paper Title: ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation

Presenter: Chengkai Zhang, Beijing University of Posts and Telecommunications, China


Session 5

Paper Title: 3D-Based Facial Emotion Recognition using Depthwise Separable Convolution

Presenter: Abubakar Hassan Sani, University of Electronics Science and Technology of China, China


Session 6

Paper Title: Faster R-CNN with Generative Adversarial Occlusion Network for Object Detection

Presenter: Fenglie Li, Washington University in St. Louis, USA