most citedFrom Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

9 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.BM2025

Advanced Deep Learning Methods for Protein Structure Prediction and Design

Yichao Zhang, Ningyuan Deng, Xinyuan Song +25

After AlphaFold won the Nobel Prize, protein prediction with deep learning once again became a hot topic. We comprehensively explore advanced deep learning methods applied to prote…

cs.LG2025

Generative Adversarial Networks Bridging Art and Machine Intelligence

Junhao Song, Yichao Zhang, Ziqian Bi +25

Generative Adversarial Networks (GAN) have greatly influenced the development of computer vision and artificial intelligence in the past decade and also connected art and machine i…

q-bio.GN2025★ 2 cited

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings

Tianyang Wang, Silin Chen, Yunze Wang +18

Translating computational predictions into experimentally validated biological knowledge remains one of the central challenges in modern bioinformatics. This review critically exam…

cs.AI2025★ 9 cited

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

Tianyang Wang, Yunze Wang, Jun Zhou +16

Uncertainty quantification (UQ) is a critical aspect of artificial intelligence (AI) systems, particularly in high-risk domains such as healthcare, autonomous systems, and financia…

cs.CR2024★ 2 cited

Deep Learning Model Security: Threats and Defenses

Tianyang Wang, Ziqian Bi, Yichao Zhang +24

Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey e…

cs.LG2024★ 8 cited

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

Weiche Hsieh, Ziqian Bi, Chuanqi Jiang +24

Explainable Artificial Intelligence (XAI) addresses the growing need for transparency and interpretability in AI systems, enabling trust and accountability in decision-making proce…

cs.CY2024★ 3 cited

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice

Qian Niu, Keyu Chen, Ming Li +16

Large Language Models (LLMs) have rapidly evolved from text-based systems to multimodal platforms, significantly impacting various sectors including healthcare. This comprehensive…