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ORCIDTianyang Wang
- > Home > Persons > Tianyang Wang
Publications
- 2025
[i57]Tianyang Wang, Yunze Wang, Jun Zhou, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan:
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence. CoRR abs/2501.03282 (2025)- [i55]Tianyang Wang, Silin Chen, Yunze Wang, Yichao Zhang, Xinyuan Song, Ziqian Bi, Ming Liu, Qian Niu, Junyu Liu, Pohsun Feng, Xintian Sun, Benji Peng, Charles Zhang, Keyu Chen, Ming Li, Cheng Fei, Lawrence KQ Yan:
From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings. CoRR abs/2502.03478 (2025) - [i54]Junhao Song, Yichao Zhang, Ziqian Bi, Tianyang Wang, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Xinyuan Song, Jintao Ren, Silin Chen, Yunze Wang, Weiche Hsieh, Bowen Jing, Junjie Yang, Jun Zhou, Zheyu Yao, Chia Xin Liang:
Generative Adversarial Networks Bridging Art and Machine Intelligence. CoRR abs/2502.04116 (2025) - [i51]Yichao Zhang, Ningyuan Deng, Xinyuan Song, Ziqian Bi, Tianyang Wang, Zheyu Yao, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Li Zhang, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Yan Zhong, Yunze Wang, Ziyuan Qin, Bowen Jing, Junjie Yang, Jun Zhou, Chia Xin Liang, Junhao Song:
Advanced Deep Learning Methods for Protein Structure Prediction and Design. CoRR abs/2503.13522 (2025) - [i49]Junjie Yang, Junhao Song, Xudong Han, Ziqian Bi, Tianyang Wang, Chia Xin Liang, Xinyuan Song, Yichao Zhang, Qian Niu, Benji Peng, Keyu Chen, Ming Liu:
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models. CoRR abs/2504.13825 (2025) - 2024
- [i33]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Charles Zhang, Benji Peng, Xintian Sun, Qian Niu, Junyu Liu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan, Tianyang Wang:
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models. CoRR abs/2411.05036 (2024) - [i18]Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. CoRR abs/2412.00800 (2024) - [i17]Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu:
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. CoRR abs/2412.02187 (2024) - [i16]Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu:
Deep Learning Model Security: Threats and Defenses. CoRR abs/2412.08969 (2024) - [i15]Tianyang Wang, Ming Liu, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence KQ Yan:
From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. CoRR abs/2412.09378 (2024) - [i14]Benji Peng, Chia Xin Liang, Ziqian Bi, Ming Liu, Yichao Zhang, Tianyang Wang, Keyu Chen, Xinyuan Song, Pohsun Feng:
From Noise to Nuance: Advances in Deep Generative Image Models. CoRR abs/2412.09656 (2024)
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