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)

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. - Tianyang Wang; Ming Liu; Benji Peng; Xinyuan Song 002; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; Pohsun Feng; 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 002; Pohsun Feng (CoRR, 2024)

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence. - Tianyang Wang; Yunze Wang; Jun Zhou; Benji Peng; Xinyuan Song 002; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; et al. (CoRR, 2025)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings. - Tianyang Wang; Silin Chen; Yunze Wang; Yichao Zhang 002; Xinyuan Song 002; Ziqian Bi; Ming Liu; Qian Niu; Junyu Liu; Pohsun Feng; Xintian Sun; Benji Peng; et al. (CoRR, 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)

The Curse of Depth in Large Language Models. - Wenfang Sun; Xinyuan Song 002; Pengxiang Li; Lu Yin 006; Yefeng Zheng 001; Shiwei Liu 003 (CoRR, 2025)

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

SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning. - Siyi Wu; Leyi Zhao; Haotian Ma; Xinyuan Song 002 (CoRR, 2025)

SCORE: Story Coherence and Retrieval Enhancement for AI Narratives. - Qiang Yi; Yangfan He; Jianhui Wang; Xinyuan Song 002; Shiyao Qian; Miao Zhang; Li Sun; Tianyu Shi (CoRR, 2025)

ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting. - Junbang Liu; Enpei Huang; Dongxing Mao; Hui Zhang; Xinyuan Song 002; Yongxin Ni (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 002; Yichao Zhang; Qian Niu; Benji Peng; Keyu Chen; Ming Liu (CoRR, 2025)

Twin Co-Adaptive Dialogue for Progressive Image Generation. - Jianhui Wang; Yangfan He; Yan Zhong; Xinyuan Song 002; Jiayi Su; Yuheng Feng; Hongyang He; Wenyu Zhu; Xinhang Yuan; Kuan Lu; Menghao Huo; Miao Zhang; et al. (CoRR, 2025)

Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework. - Xinyuan Song 002; Yangfan He; Sida Li; Jianhui Wang; Hongyang He; Xinhang Yuan; Ruoyu Wang; Jiaqi Chen; Keqin Li; Kuan Lu; Menghao Huo; Binxu Li; et al. (CoRR, 2025)

Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding. - Kun Li; Jianhui Wang; Yangfan He; Xinyuan Song 002; Ruoyu Wang; Hongyang He; Wenxin Zhang; Jiaqi Chen; Keqin Li; Sida Li; Miao Zhang; Tianyu Shi; et al. (CoRR, 2025)

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning. - Yan Zhong 001; Xingyu Wu; Xinping Zhao; Li Zhang 104; Xinyuan Song 002; Lei Shi; Bingbing Jiang 001 (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)

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling. - Tianlong Chen 001; Xin Xu; Zijing Liu; Pengxiang Li; Xinyuan Song 002; Ajay Kumar Jaiswal; Fan Zhang; Jishan Hu; Yang Wang 020; Hao Chen 103; Shizhe Diao; Shiwei Liu 003; et al. (CoRR, 2025)

Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration. - Xinyuan Song 002; Zeyu Wang; Siyi Wu; Tianyu Shi; Lynn Ai (CoRR, 2025)

MountainLion: A Multi-Modal LLM-Based Agent System for Interpretable and Adaptive Financial Trading. - Siyi Wu; Zhaoyang Guan; Leyi Zhao; Xinyuan Song 002; Xinyu Ying; Hanlin Zhang; Michele Pak; Yangfan He; Yi Xin; Jianhui Wang; Tianyu Shi (CoRR, 2025)

Low-Cost Test-Time Adaptation for Robust Video Editing. - Jianhui Wang; Yinda Chen; Yangfan He; Xinyuan Song 002; Yi Xin; Dapeng Zhang; Zhongwei Wan; Bin Li; Rongchao Zhang (CoRR, 2025)

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence. - Ji Wang; Kashing Chen; Xinyuan Song 002; Ke Zhang; Lynn Ai; Eric Yang; Bill Shi (CoRR, 2025)

SEDM: Scalable Self-Evolving Distributed Memory for Agents. - Haoran Xu; Jiacong Hu; Ke Zhang; Lei Yu; Yuxin Tang; Xinyuan Song 002; Yiqun Duan; Lynn Ai; Bill Shi (CoRR, 2025)

Meta-Learning Reinforcement Learning for Crypto-Return Prediction. - Junqiao Wang; Zhaoyang Guan; Guanyu Liu; Tianze Xia; Xianzhi Li; Shuo Yin; Xinyuan Song 002; Chuhan Cheng; Tianyu Shi; Alex Lee (CoRR, 2025)

Difficulty-Aware Agent Orchestration in LLM-Powered Workflows. - Jinwei Su; Yinghui Xia; Qizhen Lan; Xinyuan Song 002; Chen Chen; JingSong Yang; Lewei He; Tianyu Shi (CoRR, 2025)

TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning. - Hongyang He; Xinyuan Song 002; Yangfan He; Zeyu Zhang; Yanshu Li; Haochen You; Lifan Sun; Wenqiao Zhang (CoRR, 2025)