Program

Important Notice: This year the IEEE BigDataSecurity/HPSC/IDS/SmartCloud will be a hybrid conference, due to the visa and virus considerations. For all participants, please do notice all the time mentioned in this booklet is based on time zone New York (UTC-4).

Hybrid Conference Plans: The opening session, keynote speech, talks, and awards will be held onsite. We will also broadcast online at real-time in our conference room link (coming soon).


The program schedule of IEEE BigDataSecurity/HPSC/IDS/SmartCloud is as follows:

Friday, May, 10th, 2024 (New York Time)

Conference Room Room A Room B
9:00 – 9:45 Conference Registration
9:45 – 10:00 Opening
10:00 – 10:50 Keynote (Ling Liu)
10:50 – 11:00 Award Ceremony
11:00 – 11:15 Coffee Break
11:15 – 12:15 BDS 1 HPSC 1
12:15 – 13:00 Lunch
13:00 – 14:00 BDS 2 SC 1
14:00 – 15:00 Coffee Break
15:00 – 15:30 BDS 3 IDS 1
15:30 – 16:30 BDS 4 SC 2
16:30 – 17:30 SC 3 SC 4
17:30 – 20:00 Banquet

Saturday, May 11th, 2024 (New York Time)

Conference Room Room A Room B
9:00 – 10:00 BDS 5 BDS 6
10:00 – 10:55 BDS 7 HPSC 2
10:55 – 11:05 Coffee Break
11:05 – 12:00 HPSC 3 HPSC 4
12:00 – 13:00 Lunch
13:00 – 14:00 SC 5 HPSC 5
14:00 – 15:00 IDS 2 IDS 3
15:00 – 15:30 Coffee Break
15:30 – 16:30 IDS 4

Sunday, May 12th, 2024 (New York Time)

10:00 – 12:00 Steering Committee Meeting
Adjourn
IEEE IDS 2024

IDS 1: 05/10/2024, 15:00 – 15:30, Room B

  • Chih-Yuan Chang. Understanding How ChatGPT Memorize Chinese Tang Poetry.
  • Hao Ma, Senmao Qi, Jiayue Yao, Yuan Yuan, Yifei Zou and Dongxiao Yu. Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation.
  • Zhixin Li, Rui Zhu, Zihao Wang, Jiale Li, Yongming Fan, Zhihui Lu, Jie Wu, Hongfeng Chai, Xiaofeng Wang and Haixu Tang. FairFix: Enhancing Fairness of Pre-trained Deep Neural Networks with Scarce Data Resources.
  • Chuang Wu and Tingqin He, A Survey of Applications of Vision Transformer and Its Variants.
  • Jie Zhang, Weiqin Tong and Xiao-Yang Liu, High-Performance Spectral Tensor Layer for Deep Neural Network.

IDS 2: 05/11/2024, 14:00 – 15:00, Room A

  • Jie Zhang, Weiqin Tong and Xiao-Yang Liu, High-Performance Spectral Tensor Layer for Deep Neural Network.
  • Gang Yuan, Xiumei Fan and Yusheng Huang. Research on urban traffic flow prediction model based on heterogeneous data fusion.
  • Jialei Zhang, Shubin Cai, Zhiwei Jiang, Jian Xiao and Zhong Ming. FireRobBrain: Planning for a Firefighting Robot using Knowledge Graph and Large Language Model.
  • Yihang Tao, Jun Wu and Qianqian Pan. Energy Harvesting Design for Cooperative Reconfigurable Intelligent Surface with Multi-Agent Deep Reinforcement Learning.

IDS 3: 05/11/2024, 14:00 – 15:00, Room B

  • Xueting Huang, Linshu Chen, Xiaoyan Chen, Mo Wang and Yuxin Liu, Wireless channel estimation and equalization based on deep learning.
  • Yaqiong Guo, Jingnan Chen and Zichao Xu, Android application reinforcement method based on 5G terminal device.
  • Hao Huang, Jing Zhang, Yongchun Pan, Haina Fang, Silei Yao and Changxuan Zeng. Research on Machine Learning-Based Advanced Semantic Mapping Model for Substations and Security Alert Disposition.
  • Shuyi Li, Fangming Jing, Chen Yang, Pengyu Zhang, Zeming Wang and Wenhui Hu. An Analysis of Elderly Care Services Using Machine Learning and Factor Rotation Method.

IDS 4: 05/11/2024, 15:30 – 16:30, Room A

  • Fei Zhao, Mian Chen and Bo Gao. Detecting Harmful Vibrations in the Drilling Industry Through Deep Learning Techniques.
  • Xiaojun Shen, Chao Ji, Xiaohan Lai, Lei Zhao and Shouyi Jiang. Energy-STGNN: A Dynamic Forecasting Approach for Energy Consumption Prediction.
  • Gaojing Yuan, Linshu Chen, Jiahong Cai, Chaoyi Yang and Jinnian Li. A Comprehensive Overview of Object Detection Based on Deep Learning.
  • Mingyu Xu. Research on machine learning based analysis of poverty alleviation households returning to poverty.




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