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.