Vanilla feedforward neural networks as a discretization of dynamic systems. - Yifei Duan; Li'ang Li; Guanghua Ji; Yongqiang Cai (CoRR, 2022)

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation. - Li'ang Li; Yifei Duan; Guanghua Ji; Yongqiang Cai (ICML, 2023)

A Minimal Control Family of Dynamical Syetem for Universal Approximation. - Yifei Duan; Yongqiang Cai (CoRR, 2023)

A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification. - Su Cui; Yiliang Han; Yifei Duan; Yu Li 003; Shuaishuai Zhu; Chaoyue Song (Entropy, 2023)

In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning. - Yifei Duan; Liu Li; Zirui Zhai; Jinxia Yao (CoRR, 2024)

LGRF-Net: A Novel Hybrid Attention Network for Lightweight Global Road Feature Extraction. - Yifei Duan; Junsuo Qu; Le Zhang; Xiaochen Qu; Dan Yang 006 (IEEE Trans. Geosci. Remote. Sens., 2024)

Vanilla Feedforward Neural Networks as a Discretization of Dynamical Systems. - Yifei Duan; Li'ang Li; Guanghua Ji; Yongqiang Cai (J. Sci. Comput., 2024)

Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application. - Yilin Xia; Yifei Duan; Leihao Sha; Wanlin Lai; Zhimeng Zhang; Jiaxin Hou; Lei Chen (BMC Medical Informatics Decis. Mak., 2024)

LightCGS-Net: A novel lightweight road extraction method for remote sensing images combining global semantics and spatial details. - Yifei Duan; Dan Yang 006; Xiaochen Qu; Le Zhang; Junsuo Qu; Lu Chao; Peilu Gan (J. Netw. Comput. Appl., 2025)

LCIRE-Net: Lightweight Cross-Modal Information Interaction for Road Feature Extraction From Remote Sensing Images and GPS Trajectory/LiDAR. - Yifei Duan; Dan Yang 006; Xiaochen Qu; Le Zhang; Lu Chao; Peilu Gan; Shuai Yuan; Hanlin Qin; Junsuo Qu (IEEE Trans. Geosci. Remote. Sens., 2025)

Baichuan-Omni-1.5 Technical Report. - Yadong Li; Jun Liu; Tao Zhang 001; Tao Zhang 001; Song Chen; Tianpeng Li; Zehuan Li; Lijun Liu; Lingfeng Ming; Guosheng Dong; Da Pan 003; Chong Li; et al. (CoRR, 2025)

Baichuan-M1: Pushing the Medical Capability of Large Language Models. - Bingning Wang; Haizhou Zhao; Huozhi Zhou; Liang Song; Mingyu Xu; Wei Cheng; Xiangrong Zeng; Yupeng Zhang; Yuqi Huo; Zecheng Wang; Zhengyun Zhao; Da Pan 003; et al. (CoRR, 2025)

Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition. - Yifei Duan; Raphael Shang; Deng Liang; Yongqiang Cai (CoRR, 2025)

Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning. - Xuan Li; Yuting Peng; Xiaoxuan Sun; Yifei Duan; Zhou Fang; Tengda Tang (CoRR, 2025)

Automated UI Interface Generation via Diffusion Models: Enhancing Personalization and Efficiency. - Yifei Duan; Liuqingqing Yang; Tong Zhang; Zhijun Song; Fenghua Shao (CoRR, 2025)

Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization. - Xiaoxuan Sun; Yifei Duan; Yingnan Deng; Fan Guo; Guohui Cai; Yuting Peng (CoRR, 2025)

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning. - Yang Wang; Tengda Tang; Zhou Fang; Yingnan Deng; Yifei Duan (CoRR, 2025)