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 Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks. - Chia Xin Liang; Pu Tian; Caitlyn Heqi Yin; Yao Yua; Wei An-Hou; Li Ming; Tianyang Wang; Ziqian Bi; Ming Liu (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)

From Noise to Nuance: Advances in Deep Generative Image Models. - Benji Peng; Chia Xin Liang; Ziqian Bi; Ming Liu; Yichao Zhang 002; Tianyang Wang; Keyu Chen 002; Xinyuan Song; Pohsun Feng (CoRR, 2024)

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)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models. - 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 (CoRR, 2025)

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement. - Chiung-Yi Tseng; Junhao Song; Ziqian Bi; Tianyang Wang; Chia Xin Liang; Ming Liu (CoRR, 2025)

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion. - Han Wang; Ruoyun He; Guoguang Lao; Ting Liu; Hejiao Luo; Changqi Qin; Hongying Luo; Junmin Huang; Zihan Wei; Lu Chen; Yongzhi Xu; Ziqian Bi; et al. (CoRR, 2025)

Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models. - Zechun Deng; Ziwei Liu; Ziqian Bi; Junhao Song; Chia Xin Liang; Joe Yeong; Junfeng Hao (CoRR, 2025)

Multimodal Representation Learning and Fusion. - Qihang Jin; Enze Ge; Yuhang Xie; Hongying Luo; Junhao Song; Ziqian Bi; Chia Xin Liang; Jibin Guan; Joe Yeong; Junfeng Hao (CoRR, 2025)

Exploring Efficiency Frontiers of Thinking Budget in Medical Reasoning: Scaling Laws between Computational Resources and Reasoning Quality. - Ziqian Bi; Lu Chen; Junhao Song; Hongying Luo; Enze Ge; Junmin Huang; Tianyang Wang; Keyu Chen 002; Chia Xin Liang; Zihan Wei; Huafeng Liu; Chunjie Tian; et al. (CoRR, 2025)