Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. - Yizhu Wen; Yiwei Wang; Kai Yi; Jing Ke; Yiqing Shen 003 (ICME, 2024)

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. - Yizhu Wen; Kai Yi; Jing Ke; Yiqing Shen 003 (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 002; Ming Li 075; Ming Liu; Qian Niu; Junyu Liu; Jinlang Wang; Sen Zhang; Jiawei Xu; et al. (CoRR, 2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming. - Ming Li 075; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Jiawei Xu; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jinlang Wang; Pohsun Feng; et al. (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 002; Junyu Liu; Caitlyn Heqi Yin; Sen Zhang; Jinlang Wang; et al. (CoRR, 2024)

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns. - Keyu Chen 002; Ziqian Bi; Tianyang Wang; Yizhu Wen; Pohsun Feng; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Li 075; Xuanhe Pan; Jiawei Xu; et al. (CoRR, 2024)

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing. - Ming Li 075; Ziqian Bi; Tianyang Wang; Yizhu Wen; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; et al. (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 002; Sen Zhang; Ming Li 075; Jiawei Xu; Ming Liu; et al. (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 002; Sen Zhang; Ming Li 075; Jiawei Xu; et al. (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 002; Caitlyn Heqi Yin (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 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (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 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 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 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. - Keyu Chen 002; Cheng Fei; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; et al. (CoRR, 2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Weiche Hsieh; Ziqian Bi; Chuanqi Jiang; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. - Weiche Hsieh; Ziqian Bi; Keyu Chen 002; Benji Peng; Sen Zhang; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; Yizhu Wen; Tianyang Wang; et al. (CoRR, 2024)

Deep Learning Model Security: Threats and Defenses. - Tianyang Wang; Ziqian Bi; Yichao Zhang 002; Ming Liu; Weiche Hsieh; Pohsun Feng; Lawrence KQ Yan; Yizhu Wen; Benji Peng; Junyu Liu; Keyu Chen 002; Sen Zhang; et al. (CoRR, 2024)

Secure-IRS: Defending Against Adversarial Physical-Layer Sensing in ISAC System. - Ziyu Chen; Denny Vishnu Puri Landika; Alvin Yang; Yizhu Wen; Haofan Cai; Yao Zheng 004; Hanqing Guo (ICNC, 2025)

Generative Adversarial Networks Bridging Art and Machine Intelligence. - Junhao Song; Yichao Zhang 002; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Jiawei Xu; et al. (CoRR, 2025)

Advanced Deep Learning Methods for Protein Structure Prediction and Design. - Yichao Zhang 002; Ningyuan Deng; Xinyuan Song; Ziqian Bi; Tianyang Wang; Zheyu Yao; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; et al. (CoRR, 2025)

SoK: How Robust is Audio Watermarking in Generative AI models? - Yizhu Wen; Ashwin Innuganti; Aaron Bien Ramos; Hanqing Guo; Qiben Yan (CoRR, 2025)

Web IP at Risk: Prevent Unauthorized Real-Time Retrieval by Large Language Models. - Yisheng Zhong; Yizhu Wen; Junfeng Guo; Mehran Kafai; Heng Huang; Hanqing Guo; Zhuangdi Zhu (CoRR, 2025)