Xinyuan Song

According to our database, Xinyuan Song authored at least 33 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys.

Siyi Wu, Chia Xin Liang, Ziqian Bi, Leyi Zhao, Tianyang Wang, Junhao Song, Yichao Zhang, Keyu Chen, Xinyuan Song

CoRR, October, 2025

Demystifying the Roles of LLM Layers in Retrieval, Knowledge, and Reasoning.

Xinyuan Song, Keyu Wang, Pengxiang Li, Lu Yin, Shiwei Liu

CoRR, October, 2025

Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training.

Ween Yang, Jason Liu, Suli Wang, Xinyuan Song, Lynn Ai, Eric Yang, Bill Shi

CoRR, October, 2025

TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning.

Hongyang He, Xinyuan Song, Yangfan He, Zeyu Zhang, Yanshu Li, Haochen You, Lifan Sun, Wenqiao Zhang

CoRR, September, 2025

Difficulty-Aware Agent Orchestration in LLM-Powered Workflows.

Jinwei Su, Yinghui Xia, Qizhen Lan, Xinyuan Song, Chen Chen, JingSong Yang, Lewei He, Tianyu Shi

CoRR, September, 2025

Meta-Learning Reinforcement Learning for Crypto-Return Prediction.

Junqiao Wang, Zhaoyang Guan, Guanyu Liu, Tianze Xia, Xianzhi Li, Shuo Yin, Xinyuan Song, Chuhan Cheng, Tianyu Shi, Alex Lee

CoRR, September, 2025

SEDM: Scalable Self-Evolving Distributed Memory for Agents.

Haoran Xu, Jiacong Hu, Ke Zhang, Lei Yu, Yuxin Tang, Xinyuan Song, Yiqun Duan, Lynn Ai, Bill Shi

CoRR, September, 2025

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence.

Ji Wang, Kashing Chen, Xinyuan Song, Ke Zhang, Lynn Ai, Eric Yang, Bill Shi

CoRR, August, 2025

Low-Cost Test-Time Adaptation for Robust Video Editing.

Jianhui Wang, Yinda Chen, Yangfan He, Xinyuan Song, Yi Xin, Dapeng Zhang, Zhongwei Wan, Bin Li, Rongchao Zhang

CoRR, July, 2025

MountainLion: A Multi-Modal LLM-Based Agent System for Interpretable and Adaptive Financial Trading.

Siyi Wu, Zhaoyang Guan, Leyi Zhao, Xinyuan Song, Xinyu Ying, Hanlin Zhang, Michele Pak, Yangfan He, Yi Xin, Jianhui Wang, Tianyu Shi

CoRR, July, 2025

Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration.

Xinyuan Song, Zeyu Wang, Siyi Wu, Tianyu Shi, Lynn Ai

CoRR, July, 2025

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling.

Tianlong Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Yin Lu, Can Yang

CoRR, June, 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, Junhao Song, Tianyang Wang, Chia Xin Liang, Xinyuan Song, Huafeng Liu, Junfeng Hao, Chunjie Tian

CoRR, June, 2025

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning.

Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang

CoRR, May, 2025

Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding.

Kun Li, Jianhui Wang, Yangfan He, Xinyuan Song, Ruoyu Wang, Hongyang He, Wenxin Zhang, Jiaqi Chen, Keqin Li, Sida Li, Miao Zhang, Tianyu Shi, Xueqian Wang

CoRR, April, 2025

Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework.

Xinyuan Song, Yangfan He, Sida Li, Jianhui Wang, Hongyang He, Xinhang Yuan, Ruoyu Wang, Jiaqi Chen, Keqin Li, Kuan Lu, Menghao Huo, Binxu Li, Pei Liu

CoRR, April, 2025

Twin Co-Adaptive Dialogue for Progressive Image Generation.

Jianhui Wang, Yangfan He, Yan Zhong, Xinyuan Song, Jiayi Su, Yuheng Feng, Hongyang He, Wenyu Zhu, Xinhang Yuan, Kuan Lu, Menghao Huo, Miao Zhang, Keqin Li, Jiaqi Chen, Tianyu Shi, Xueqian Wang

CoRR, April, 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, April, 2025

SCORE: Story Coherence and Retrieval Enhancement for AI Narratives.

Qiang Yi, Yangfan He, Jianhui Wang, Xinyuan Song, Shiyao Qian, Miao Zhang, Li Sun, Tianyu Shi

CoRR, March, 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

CoRR, March, 2025

Advanced Deep Learning Methods for Protein Structure Prediction and Design.

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

CoRR, March, 2025

The Curse of Depth in Large Language Models.

Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu

CoRR, February, 2025

Generative Adversarial Networks Bridging Art and Machine Intelligence.

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

CoRR, February, 2025

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

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

CoRR, February, 2025

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

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

CoRR, January, 2025

ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting.

Junbang Liu, Enpei Huang, Dongxing Mao, Hui Zhang, Xinyuan Song, Yongxin Ni

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing.

Lifan Sun, Zichen Yuan, Ersheng Ni, Weihua Cheng, Xinyuan Song, Linkun Dai, Hongwei Jiang, Sibo Xu, Mengmeng Chen, Yucen Zhuang, Yongxin Ni, Youhua Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

From Noise to Nuance: Advances in Deep Generative Image Models.

Benji Peng, Chia Xin Liang, Ziqian Bi, Ming Liu, Yichao Zhang, Tianyang Wang, Keyu Chen, Xinyuan Song, Pohsun Feng

CoRR, 2024

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development.

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

CoRR, 2024

Deep Learning Model Security: Threats and Defenses.

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

CoRR, 2024

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management.

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

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, 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

CoRR, 2024

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application.

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

CoRR, 2024