RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. - Zhengqing Yuan; Zhuanzhe Zhao; Yongming Liu; Xiaolong Zhang; Xuecong Hou; Yue Wang (CoRR, 2022)

Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. - Zhengqing Yuan; Huiwen Xue; Chao Zhang; Yongming Liu (IntelliSys (1), 2023)

RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. - Zhengqing Yuan; Xiaolong Zhang; Yue Wang; Xuecong Hou; Huiwen Xue; Zhuanzhe Zhao; Yongming Liu (SMC, 2023)

Auto-Learning: An Adversarial Process of Two Pre-trained Models for Natural Language Generation. - Zhengqing Yuan; Huiwen Xue; Chao Zhang; Yuelin Lu (CoRR, 2023)

ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4. - Zhengqing Yuan; Huiwen Xue; Xinyi Wang; Yongming Liu; Zhuanzhe Zhao; Kun Wang (CoRR, 2023)

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones. - Zhengqing Yuan; Zhaoxu Li; Lichao Sun (CoRR, 2023)

Effective acoustic parameters for automatic classification of performed and synthesized Guzheng music. - Huiwen Xue; Chenxin Sun; Mingcheng Tang; Chenrui Hu; Zhengqing Yuan; Min Huang; Zhongzhe Xiao (EURASIP J. Audio Speech Music. Process., 2023)

Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models. - Yunhong He; Jianling Qiu; Wei Zhang; Zhengqing Yuan (CoRR, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. - Zhengqing Yuan; Ruoxi Chen; Zhaoxu Li; Haolong Jia; Lifang He 001; Chi Wang; Lichao Sun 001 (CoRR, 2024)

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. - Zhengqing Yuan; Rong Zhou; Hongyi Wang 001; Lifang He 001; Yanfang Ye 001; Lichao Sun 001 (CoRR, 2024)

Bora: Biomedical Generalist Video Generation Model. - Weixiang Sun; Xiaocao You; Ruizhe Zheng; Zhengqing Yuan; Xiang Li 001; Lifang He 001; Quanzheng Li; Lichao Sun 001 (CoRR, 2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. - Zhiling Yan; Weixiang Sun; Rong Zhou; Zhengqing Yuan; Kai Zhang 039; Yiwei Li 002; Tianming Liu 001; Quanzheng Li; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. - Rong Zhou; Zhengqing Yuan; Zhiling Yan; Weixiang Sun; Kai Zhang 039; Yiwei Li 002; Yanfang Ye 001; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

MLP-KAN: Unifying Deep Representation and Function Learning. - Yunhong He; Yifeng Xie; Zhengqing Yuan; Lichao Sun (CoRR, 2024)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? - Yue Huang 001; Zhengqing Yuan; Yujun Zhou 002; Kehan Guo; Xiangqi Wang; Haomin Zhuang; Weixiang Sun; Lichao Sun 001; Jindong Wang 001; Yanfang Ye 001; Xiangliang Zhang 001 (CoRR, 2024)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation. - Peiyuan Jing; Kinhei Lee; Zhenxuan Zhang; Huichi Zhou; Zhengqing Yuan; Zhifan Gao; Lei Zhu 003; Giorgos Papanastasiou; Yingying Fang; Guang Yang 006 (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

Graph Foundation Models: A Comprehensive Survey. - Zehong Wang; Zheyuan Liu 010; Tianyi Ma; Jiazheng Li 012; Zheyuan Zhang; Xingbo Fu; Yiyang Li; Zhengqing Yuan; Wei Song; Yijun Ma; Qingkai Zeng 001; Xiusi Chen; et al. (CoRR, 2025)