Important Notice: This year the IEEE CSCloud/EdgeCom 2024 will be a hybrid conference, due to visa and virus considerations. For all participants, please do notice all the time mentioned in this booklet is based on time zone Beijing, China (GMT+8).
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)..
For all oral presentations, we require the authors to prepare a video presentation of their paper (due to different time zones, it's hard to arrange all presentations in real-time). The presentation time should be around 15-20 minutes. Zoom is the recommended recording software. There is no requirement for a picture-in-picture presentation window. Please make sure the video is in .mp4 format and less than 40 MB. The filename of the video should be the ID of the paper.
All videos will be updated on the Program webpage about 1-2 days before the conference. Attendees can download the conference booklet for the detailed program or check on this webpage.
Presentation Online Rooms: Please join the at 8:30 AM (Beijing Time) on June 29th, 2024. The Password for joining this conference will be sent to all participants through Email (If you didn't receive such email by June 24th, please contact us).
线下会场设在复旦大学江湾校区(杨浦区淞沪路2005号),国内作者凭身份证入校;国外作者凭护照入校。
主会场:生命科学学院F区报告厅
分会场:
- 会场1:交叉二号楼A1003
- 会场2:交叉二号楼E1021
- 会场3:交叉二号楼E1021
Main Venue: Lecture Hall F, School of Life Sciences (2205 Songhu Road, Yangpu District).
Sub-Venues:
- Venue 1: Room A1003, Interdisciplinary Building No. 2
- Venue 2: Room E1021, Interdisciplinary Building No. 2
- Venue 3: Room E1021, Interdisciplinary Building No. 2
若您在入校时遇到困难,请联系志愿者:
Lin: +86 15121151180
Yang: +86 19821221780
Friday, June 28th, 2024 (Beijing Time)
Offline Registration: 交叉二号楼(计算机科学技术学院)一楼 A1003
14:00 - 16:00 | Advanced Registration |
16:00 - 18:00 | Internal Meeting |
Saturday, June 29th, 2024 (Beijing Time)
Room M | 生命科学学院 F 区报告厅 / School of Life Sciences Lecture Hall, area F | ||
---|---|---|---|
Room A | Room B | Room C | |
交叉二号楼(计算机科学技术学院)一楼 A1003 | 交叉二号楼(计算机科学技术学院)一楼 E1021 | 交叉二号楼(计算机科学技术学院)一楼 E1023 |
Schedule
Schedule | Room M |
---|---|
8:00 - 8:50 | Conference Registration / 会议注册 |
8:50 - 9:00 | Opening / 开场 |
9:00 - 9:50 | Keynote 1 |
9:50 - 10:00 | Award Ceremony / 颁奖仪式 |
10:00 - 10:10 | Coffee Break / 茶歇 |
10:10 - 11:00 | Keynote 2 |
11:00 - 11:50 | Keynote 3 |
11:50 - 13:00 | Lunch / 午餐 |
Schedule | Room M |
---|---|
13:00 - 13:30 | FinTech Talk 1 |
13:30 - 14:00 | FinTech Talk 2 |
14:00 - 14:30 | FinTech Talk 3 |
14:30 - 15:00 | FinTech Talk 4 |
15:00 - 15:30 | Coffee Break / 茶歇 |
15:30 - 16:00 | FinTech Talk 5 |
16:00 - 17:30 | Roundtable Forum / 圆桌论坛 |
18:00 - 20:00 | Banquet, New Canteen, 3rd floor. / 晚宴 江湾新食堂 三楼 |
Schedule | Room A | Room B | Room C |
---|---|---|---|
13:00 - 14:00 | CSCloud 1 | CSCloud 2 | EdgeCom 1 |
14:00 - 15:00 | CSCloud 3 | CSCloud 4 | EdgeCom 2 |
15:00 - 15:30 | Coffee Break / 茶歇 | ||
15:30 - 16:30 | CSCloud 5 | CSCloud 6 | EdgeCom 3 |
16:30 - 17:30 | CSCloud 7 | CSCloud 8 | EdgeCom 4 |
18:00 - 20:00 | Banquet, New Canteen, 3rd floor. / 晚宴 江湾新食堂 三楼 |
Sunday, June 30th, 2024 (Beijing Time)
10:00 – 12:00 | Steering Committee Meeting |
Adjourn / 休会 |
IEEE EdgeCom 2024
EdgeCom 1:
- Hsunfang Cho, Li Zhang and Xiaozhen Jiang, Digital Watermarking Technology of Data Element Circulation Transaction.
- Wangjun Zhang, Xiong Wu, Fan Li and Hongshan Yang, Research on Key Technologies for Enhancing Image Analysis Capability of Power Transmission and Transformation Equipment Based on Large Visual Models.
- Saeed Khalilian and Nirvana Meratnia, Improving Robustness of Compressed Models with Weight Sharing through Knowledge Distillation.
- Zi Ye and Ruoyu Ying, An AI-aware Orchestration Framework for Cloud-based LLM Workloads.
EdgeCom 2:
- Hongshan Yang, Guoqing Zhang, Yun Su and Naiwang Guo, Research on power fusion data cleaning method based on exponential moving average and cosine similarity algorithm.
- Yali Wang, Xiaopei Han and Peiyan Yuan, Reinforcement Learning Minimizes Payment Costs in Internet of Vehicles Caching.
- Cheng Wang and Li Huang, Knowledge-based research on automation engines.
- Jiangming Li, Sen Li, Jian Tan, Dong Jin, Shuangwu Chen and Jian Yang, DCScaler: Spatiotemporal Prediction Aided Distributed Collaborative Autoscaling of Microservices.
EdgeCom 3:
- Hongbing Zhang, Lingyu Hou, Zhihui Lu, Wei Hu, Jiawei Liu, Hongjun Yang and Youjia Bai, Research on DMI-based equipment management technology.
- Feng Zhou, Zhaojin Lu, Hai Huang, Yu Liu, Hongbing Zhang, Zelin Yang, Zhilin Chen, Daisong Zhan and Zhuo Huang, Cande: A Model for Predicting the Risk of Campus Violence in an Edge Intelligent Computing Architecture.
- Thu Yein Htet, Thanda Shwe, Israel Mendonça and Masayoshi Aritsugi, Pre-warming: Alleviating Cold Start Occurrences on Cloud-based Serverless Platforms.
- Linzhong Fang, Xuanlai Tang, Shuyon Gao, Yicheng Song and Shengfeng Li, Study on the Plate Detection Method Based on the Data Generated by Significance Detection.
- Wei Chen. TopicDVC: Dense Video Captioning with Topic Guidance.
EdgeCom 4:
- Wenchuan Kuang, Yiliang Lv, Yanxin Yang, Wanwan Wang, Haijun Shan and Shuhan Yang, EdgeVisionPlus: A Visual Recognition Model to support Edge Deployment in Manufacturing Application Scenarios.
- Fang Li, Gang Wu, Tianjing Lv and Jianhua Lu, An Innovative Approach for Manipulating Tidal-Based Computing Power.
- Ruiyang Yin and Xuebin Liu, Enabling media production withAIGCanditsethical considerations.
- Zhihua Duan and Jialin Wang, Multi-tool Integration Application for Math Reasoning Using Large Language Model.
- Feng Zhou, Xin Zhao, Jing Liu, Hongbing Zhang, Fuli Qi, Tongming Zhou and Jun Ma, Tighte: A Model for Campus Security Target Tracking in Edge Intelligent Computing Architecture.