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2020 – today
- 2024
[c1]Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen:
Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. ICME 2024: 1-6- [i13]Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen:
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR abs/2403.13863 (2024) - [i12]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:
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer. CoRR abs/2409.17120 (2024) - [i11]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:
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming. CoRR abs/2409.19916 (2024) - [i10]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:
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications. CoRR abs/2410.01268 (2024) - [i9]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:
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns. CoRR abs/2410.03795 (2024) - [i8]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:
Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing. CoRR abs/2410.05686 (2024) - [i7]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:
Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques. CoRR abs/2410.09596 (2024) - [i6]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:
Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications. CoRR abs/2410.10110 (2024) - [i5]Benji Peng, Ziqian Bi, Qian Niu, Ming Liu, Pohsun Feng, Tianyang Wang, Lawrence KQ Yan, Yizhu Wen, Yichao Zhang, Caitlyn Heqi Yin:
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models. CoRR abs/2410.15236 (2024) - [i4]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:
Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications. CoRR abs/2410.15584 (2024) - [i3]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:
Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice. CoRR abs/2410.19849 (2024) - [i2]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:
Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application. CoRR abs/2410.20304 (2024) - [i1]Keyu Chen, Cheng Fei, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Weiche Hsieh, Lawrence KQ Yan, Chia Xin Liang, Han Xu, Hong-Ming Tseng, Xinyuan Song, Ming Liu:
Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. CoRR abs/2411.05026 (2024)
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