Yizhu Wen

According to our database, Yizhu Wen authored at least 13 papers in 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application.

Weiche Hsieh, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice.

Silin Chen, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications.

Jintao Ren, Ziqian Bi, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Silin Chen, Ming Li, Jiawei Xu, Ming Liu

CoRR, 2024

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models.

Benji Peng, Ziqian Bi, Qian Niu, Ming Liu, Pohsun Feng, Tianyang Wang, Lawrence KQ Yan, Yizhu Wen, Yichao Zhang, Caitlyn Heqi Yin

CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications.

Pohsun Feng, Ziqian Bi, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Caitlyn Heqi Yin, Tianyang Wang, Keyu Chen, Sen Zhang, Ming Li, Jiawei Xu, Ming Liu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques.

Pohsun Feng, Ziqian Bi, Yizhu Wen, Benji Peng, Junyu Liu, Caitlyn Heqi Yin, Tianyang Wang, Keyu Chen, Sen Zhang, Ming Li, Jiawei Xu, Ming Liu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing.

Ming Li, Ziqian Bi, Tianyang Wang, Yizhu Wen, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns.

Keyu Chen, Ziqian Bi, Tianyang Wang, Yizhu Wen, Pohsun Feng, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Li, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications.

Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming.

Ming Li, Ziqian Bi, Tianyang Wang, Keyu Chen, Jiawei Xu, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Caitlyn Heqi Yin, Yizhu Wen, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer.

Benji Peng, Xuanhe Pan, Yizhu Wen, Ziqian Bi, Keyu Chen, Ming Li, Ming Liu, Qian Niu, Junyu Liu, Jinlang Wang, Sen Zhang, Jiawei Xu, Pohsun Feng

CoRR, 2024

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model.

Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen

CoRR, 2024

Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model.

Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024