Conference Program

IIP&A 2024 will be held during December 20-22,2024, Changsha, China. The conference main schedule will run in China Standard Time (UTC+8).
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December 20, 2024 (Friday)
14:00-21:00 Registration 1st floor, Four Points by Sheraton Changsha Meixi Lake , 长沙步步高福朋喜来登酒店
1st floor, Hotel Allseason (Meixi Lake BBG Supermarket Branch), 全季酒店(长沙麓谷梅溪湖步步高店)
18:00-20:00 Dinner 1st floor, Four Points by Sheraton Changsha, Meixi Lake
December 21, 2024 (Saturday), No. 228 Baixi Buidling (百熙楼)
Time Activities Speaker Host
9:00-9:10 Welcome Speech Yuanquan Shi, Vice President of HNFNU Pan Xiao
9:10-9:20 Welcome Speech Zhiping Cai, Vice director of CCF TCTCS Pan Xiao
9:20-9:30 Overall Conference Introduction Jianping Yin, Chairman of Steering Committee Pan Xiao
9:30-10:00 Query optimization engine for graph databases Lei Zou, Peiking University En Zhu
10:00-10:10 Group photo
10:10-10:20 Tea break
10:20-10:50 Sustainable human-AI interaction: Case study of AI-driven virtual co-pilots in aviation Fan Li, Hong Kong Polytechnic University En Zhu
10:50-11:20 Decoding urban rhythms: generative AI techniques for geospatial applications Shanshan Feng, Institute of High-Performance Computing, A*STAR, Singapore Kuan Li
11:20-11:50 Learning deep second-order visual representations via symmetric positive definite matrices Lei Wang, University of Wollongong, Australia Kuan Li
11:50-13:30 Lunch 2 nd floor, Kuiyuan Restaurant, 葵园餐厅二楼(校内)
14:00-14:30 Digital detection technology for deepfake Zhangjie Fu, Nanjing University of Information Science & Technology Jiaohua Qin
14:30-15:00 Novel multi-view data clustering algorithm Xinwang Liu, National University of Defense Technology Jiaohua Qin
15:00-15:30 Knowledge driven deep learning Nan Yin, Hong Kong University of Science and Technology Jieren Cheng
15:30-16:00 Privacy risks and defense technologies for Large Language Models (LLM) Zhiping Cai, National University of Defense Technology Jieren Cheng
16:00-16:20 Tea break
Poster Session
16:20-16:40 Research on the prediction method of gasoline octane loss based on data mining technology Ting Tan Chengkun Wu, Mengyun Yang, Mingfeng Su
Dynamic pricing scheduling and mobile charging scheme for electric vehicles based on cloud and fog computing Cui Gu
SCSE-UNet: A spatial channel squeeze-and-excitation UNet for medical image segmentation Xiuli Liu
Channel attention-enhanced deep learning network for low-dose PET reconstruction Zhuohao Ning
An improved smoke recognition algorithm based on a dual-channel Network and CBAM attention mechanism Yu Qian
Research on GOOSE network DC protection for intelligence energy source station Li Zhiguo
A water quality prediction method based on WOA-CNN-LSTM Model Rui Luo
A fine-grained image classification method utilizing the Transformer's attention mechanism combined with feature fusion Jiayu Li
PSF3-YOLOv8: Low resolution vehicle detection algorithm based on improved YOLOv8 Yiyuan Cheng
Classification of pothole pavement based on pseudo-sample generation augmentation Renye Zhang
Driving risk assessment approach with machine learning under the influence of braking rate Siyu Wu
Abnormal behavior recognition based on the Transformer model: A comprehensive summary of research progress Yuang Chen
Panel Discussion
16:40-17:20 Panel: Current Status, Challenges and Trends of Artificial Intelligence Applications in Industry Xinzhong Zhu, Xianghui Liu, Changwang Zhang, Jun Long, et al. Jianping Yin
Oral Presentation
17:20-17:30 Few-Shot Event Extraction with a Dialogue-based Large Language Model Xinyao Long Jianming Zhang
17:30-17:40 Error Prediction for Smart Meters Based on Random Forest and BP Neural Network Jiahao Zeng Jianming Zhang
17:40-17:50 A novel drug-disease association prediction model based on deep non-negative matrix factorization Bin Yang Hengfu Yang
17:50-18:00 CPA-UNet: nnUNet-Based Local Pyramid Aggregation Network Zhuohao Deng Hengfu Yang
18:00-20:30 Awarding Banquet
2 nd floor, Kuiyuan Restaurant, 葵园餐厅二楼(校内)
En Zhu, Xianghui Liu
20:30-21:00 Upcoming IIP&A conference Announcement Jianping Yin
22 December, 2024 (Sunday)
9:00-11:00 On-site learning and discussion Hengfu Yang


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