ASVRG: Accelerated Proximal SVRG. - Fanhua Shang; Licheng Jiao; Kaiwen Zhou; James Cheng; Yan Ren 002; Yufei Jin (ACML, 2018)

RFGRU: A Novel Approach for Mobile Application Traffic Identification. - Yu Zhang 095; Yufei Jin; Jianzhong Zhang 003; Huan Wu; Xueqiang Zou (ICA3PP (2), 2018)

Improved Random Forest Algorithm Based on Attribute Comprehensive Weighting Used in Identification of Missing Data in Power Grid. - Yihe Wang; Yufei Jin; Yuancheng Zhu; Xiyuan Li; Dazhi Li (ICBDS, 2020)

MEDUSA: A Multi-Environment Dual-Robot for Underwater Sample Acquisition. - Diego Debruyn; Raphael Zufferey; Sophie F. Armanini; Crystal E. Winston; André Farinha 001; Yufei Jin; Mirko Kovac (IEEE Robotics Autom. Lett., 2020)

Predictive Masking for Semi-Supervised Graph Contrastive Learning. - Yufei Jin; Xingquan Zhu 001 (IEEE Big Data, 2022)

Information-driven Path Planning for Hybrid Aerial Underwater Vehicles. - Zheng Zeng 003; Chengke Xiong; Xinyi Yuan; Yulin Bai; Yufei Jin; Di Lu 011; Lian Lian (CoRR, 2022)

Toward a gliding hybrid aerial underwater vehicle: Design, fabrication, and experiments. - Chenxin Lyu; Di Lu 011; Chengke Xiong; Rui Hu; Yufei Jin; Jianhu Wang; Zheng Zeng 003; Lian Lian (J. Field Robotics, 2022)

Low-Cost Hybrid Underwater Glider Utilizes Buoyancy and Thruster Actuation: Design and Control. - Rui Hu; Yufei Jin; Chenxin Lyu; Tongjin Wei; Junping Li; Yuanbo Bi; Zheng Zeng 003; Lian Lian (J. Intell. Robotic Syst., 2022)

Nezha-Mini: Design and Locomotion of a Miniature Low-Cost Hybrid Aerial Underwater Vehicle. - Yuanbo Bi; Yufei Jin; Chenxin Lyu; Zheng Zeng 003; Lian Lian (IEEE Robotics Autom. Lett., 2022)

Nezha-F: Design and Analysis of a Foldable and Self-Deployable HAUV. - Yulin Bai; Yufei Jin; Chunhu Liu; Zheng Zeng 003; Lian Lian (IEEE Robotics Autom. Lett., 2023)

Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss. - Yufei Jin; Huijuan Lu; Wenjie Zhu; Wanli Huo (Comput. Biol. Medicine, 2023)

A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images. - Yufei Jin; Huijuan Lu; Zhao Li; Yanbin Wang (Multim. Tools Appl., 2023)

Surfing Algorithm: Agile and Safe Transition Strategy for Hybrid Aerial Underwater Vehicle in Waves. - Yuanbo Bi; Yufei Jin; Hexiong Zhou; Yulin Bai; Chenxin Lyu; Zheng Zeng 003; Lian Lian (IEEE Trans. Robotics, 2023)

GLDL: Graph Label Distribution Learning. - Yufei Jin; Richard Gao; Yi He 007; Xingquan Zhu 001 (AAAI, 2024)

Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural Networks. - Yufei Jin; Xingquan Zhu 001 (ICDM, 2024)

Weakly-Supervised Depth Completion during Robotic Micromanipulation from a Monocular Microscopic Image. - Han Yang; Yufei Jin; Guanqiao Shan; Yibin Wang; Yongbin Zheng; Jiangfan Yu; Yu Sun 001; Zhuoran Zhang 001 (ICRA, 2024)

HGDL: Heterogeneous Graph Label Distribution Learning. - Yufei Jin; Heng Lian; Yi He 007; Xingquan Zhu 001 (NeurIPS, 2024)

ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks. - Yufei Jin; Xingquan Zhu 001 (CoRR, 2024)

Cover Image, Volume 41, Number 2, March 2024. - Yufei Jin; Yuanbo Bi; Chenxin Lyu; Yulin Bai; Zheng Zeng 003; Lian Lian (J. Field Robotics, 2024)

Nezha-IV: A hybrid aerial underwater vehicle in real ocean environments. - Yufei Jin; Yuanbo Bi; Chenxin Lyu; Yulin Bai; Zheng Zeng 003; Lian Lian (J. Field Robotics, 2024)

Trajectory Tracking Control of Fixed-Wing Hybrid Aerial Underwater Vehicle Subject to Wind and Wave Disturbances. - Junping Li; Yufei Jin; Rui Hu; Yulin Bai; Di Lu 011; Zheng Zeng 003; Lian Lian (J. Intell. Robotic Syst., 2024)

A Systematic Study and Analysis of Graph Neural Networks under Noise. - Yufei Jin; Xingquan Zhu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Nezha-SeaDart: A tail-sitting fixed-wing vertical takeoff and landing hybrid aerial underwater vehicle. - Yufei Jin; Zheng Zeng; Lian Lian (J. Field Robotics, 2025)

Nezha-D: Dynamic Characteristics and Design of a Ducted HAUV. - Hongfei Xie; Yufei Jin; Yuanbo Bi; Zheng Zeng 003 (J. Intell. Robotic Syst., 2025)

FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments. - Junming Liu; Guosun Zeng; Ding Wang; Yanting Gao; Yufei Jin (CoRR, 2025)

Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments. - Junming Liu; Yanting Gao; Siyuan Meng; Yifei Sun; Aoqi Wu; Yufei Jin; Yirong Chen; Ding Wang; Guosun Zeng (CoRR, 2025)