Zhuhai, China| February 17-20, 2023
2023 15th International Conference on Machine Learning and Computing (ICMLC 2023) was held in Zhuhai, China during Feb. 17-20, 2023 in hybrid with virtual style. More than 100 participants attended ICMLC 2023 and finished oral presentation.
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| Welcome Speech: Prof. Lin Huang | Opening Remarks: Prof. Jianqiang Li | |
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| 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 |
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| 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 |
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| Invited Speaker 1: Assoc. Prof. Dong Huang South China Agricultural University, China |
Invited Speaker 2: Assoc. Prof. Jing Zhang Southeast University, China |
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| Invited Speaker 3: Dr. Xiucai Ye University of Tsukuba, Japan |
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Paper Title: Discourse-Aware Prompt for Argument Impact Classification
Authors: Chunkit Chan and Tszho Chan
Paper Title: A Robust Framework Based on Mutual Information and Contrastive Learning for Multimodal Violence Detection in Videos
Authors: Guoding Xiong, Yongmei Zhou,Dong Zhou and Nankai Lin
Paper Title: Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition
Presenter: Koen Vellenga, University of Skövde, Sweden
Paper Title: QoE-Aware Adaptive Bitrate Algorithm Based on Subepisodic Deep Reinforcement Learning for DASH
Presenter: Dujia Yang, National University of Defense Technology, China
Paper Title: A Disk Failure Prediction Algorithm Based on Fusion Model
Presenter: Liqiang Zhao, Jinan Inspur Data Technology, China
Paper Title: ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping
Presenter: Najmeh Fayyazifar, Curtin university, Australia
Paper Title: Ensemble Two Stage Machine Learning for Network Abnormal Detection
Presenter: Runze Du, Zhengzhou University, China
Paper Title: Multiclass Classification of Software Vulnerabilities with Deep Learning
Presenter: Crystal Contreras, Amazon, United States
Paper Title: Contrastive Learning of Graph-Kernel-based Representations for Proteins
Presenter: Wei Hu, University of Science and Technology of China, China Time: 11:
Paper Title: TC-GAN: A Transformer-based Conditional Generative Adversarial Network for Low-Dose SPECT Image Reconstruction
Presenter: Zengguo Liang, Guangdong University of Technology, China Time: 14:
Paper Title: A Robust Framework Based on Mutual Information and Contrastive Learning for Multimodal Violence Detection in Videos
Presenter: Guoding Xiong, Guangdong University of Foreign Studies, China
Paper Title: Hypernym Information and Sentiment Bias Probing in Distributed Data Representation
Presenter: Attila Kertesz-Farkas, HSE University, Moscow, Russia
Paper Title: Unexpectedly Useful: Convergence Bounds and Real-World Distributed Learning
Presenter: Francesco Malandrino, CNR-IEIIT, Italy
Paper Title: Hyperbolic distance guided multi-positive graph contrastive learning
Presenter: Yanxi Liu, Beihang University, China
Paper Title: Soybean Leaf Segmentation and Area Estimation Based on Extreme Points
Presenter: Zhiliang Yang, Northwest A&F University, China
Paper Title: A Hybrid Reinforcement Learning and Genetic Algorithm for VLSI Floorplanning
Presenter: Ke Liu, Southeast University, China