A Distributed Position-Based Routing Algorithm in 3-D Wireless Industrial Internet of Things. - Junsong Fu 001; Baojiang Cui; Na Wang 003; Xinyao Liu (IEEE Trans. Ind. Informatics, 2019)

HFuzz: Towards automatic fuzzing testing of NB-IoT core network protocols implementations. - Xinyao Liu; Baojiang Cui; Junsong Fu 001; Jinxin Ma (Future Gener. Comput. Syst., 2020)

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram. - Guoqing Chen; Yong Yang; Xinyao Liu; Mingjiu Wang (ISPRS Int. J. Geo Inf., 2021)

Eureka: Neural Insight Learning for Knowledge Graph Reasoning. - Alex X. Zhang 002; Xun Liang 001; Bo Wu 026; Xiangping Zheng; Sensen Zhang; Yuhui Guo; Jun Wang; Xinyao Liu (COLING, 2022)

Generating Synthetic Trajectory Data Using GRU. - Xinyao Liu; Baojiang Cui; Lantao Xing (Intell. Autom. Soft Comput., 2022)

Multi-Modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom - Take Junior Middle School Mathematics as an Example. - Yanqiong Zhang; Xiang Han; Jingyang Lu; Runjia Liu; Xinyao Liu (ICMTEL (4), 2023)

Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report. - Xinyao Liu; Guang Liang (BONBID-HIE@MICCAI, 2023)

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results. - Yuki Kondo; Norimichi Ukita; Takayuki Yamaguchi; Hao-Yu Hou; Mu-Yi Shen; Chia-Chi Hsu; En-Ming Huang; Yu-Chen Huang; Yu-Cheng Xia; Chien-Yao Wang; Chun-Yi Lee; Da Huo; et al. (MVA, 2023)

A Pre-trained Data Deduplication Model based on Active Learning. - Xinyao Liu; Shengdong Du; Fengmao Lv; Hongtao Xue; Jie Hu 007; Tianrui Li 001 (CoRR, 2023)

LGSleepNet: An Automatic Sleep Staging Model Based on Local and Global Representation Learning. - Qi Shen 002; Junchang Xin; Xinyao Liu; Zhongyang Wang; Chuangang Li; Zhihong Huang; Zhiqiong Wang (IEEE Trans. Instrum. Meas., 2023)

Deep learning in medical image super resolution: a review. - Hujun Yang; Zhongyang Wang; Xinyao Liu; Chuangang Li; Junchang Xin; Zhiqiong Wang (Appl. Intell., 2023)

A missing value filling model based on feature fusion enhanced autoencoder. - Xinyao Liu; Shengdong Du; Tianrui Li 001; Fei Teng 001; Yan Yang 001 (Appl. Intell., 2023)

MaskEditor: Instruct 3D Object Editing with Learned Masks. - Xinyao Liu; Kai Xu 004; Yuhang Huang; Renjiao Yi; Chenyang Zhu 002 (PRCV (6), 2024)

Cyclic edge and cyclic vertex connectivity of (4,5,6)-fullerene graphs. - Jun Liang 002; Xinyao Liu; Dingjun Lou; Zan-Bo Zhang; Zixin Qin (Discret. Appl. Math., 2024)

Scale-aware local difference attention on pyramidal features for crowd counting. - Qian Zhang 046; Shizhou Zhang; Xinyao Liu; Yanning Zhang 001 (Multim. Tools Appl., 2024)

GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization. - Yanhao Sun; Runze Tian; Xiao Han; Xinyao Liu; Yan Zhang 057; Kai Xu 004 (Comput. Graph. Forum, 2024)

Exploring the Impact of Persuasion Techniques on Social Media Users' Response Behavior to Phishing Attacks. - Xinyao Liu; Ying Li 023 (WHICEB (3), 2025)

Multi-task self-supervised learning framework via contrastive restoration for sleep apnea syndrome detection using single-lead ECG. - Qi Shen 002; Guanzheng Liu; Zhiqiong Wang; Xinyao Liu; Junchang Xin (Biomed. Signal Process. Control., 2025)

Automatic medical report generation based on deep learning: A state of the art survey. - Xinyao Liu; Junchang Xin; Qi Shen 002; Zhihong Huang; Zhiqiong Wang (Comput. Medical Imaging Graph., 2025)

Label correlated contrastive learning for medical report generation. - Xinyao Liu; Junchang Xin; Bingtian Dai; Qi Shen 002; Zhihong Huang; Zhiqiong Wang (Comput. Methods Programs Biomed., 2025)

A pre-trained data deduplication model based on active learning. - Haochen Shi; Xinyao Liu; Fengmao Lv; Hongtao Xue; Jie Hu 007; Shengdong Du; Tianrui Li 001 (Expert Syst. Appl., 2025)

End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation. - Xinyao Liu; Junchang Xin; Qi Shen 002; Chuangang Li; Zhihong Huang; Zhiqiong Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers. - Guang Liang; Xinyao Liu; Jianxin Wu (CoRR, 2025)

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association. - Xiang Yu; Xinyao Liu; Guang Liang (CoRR, 2025)

MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Results. - Yuki Kondo; Norimichi Ukita; Riku Kanayama; Yuki Yoshida; Takayuki Yamaguchi; Xiang Yu; Guang Liang; Xinyao Liu; Guan-Zhang Wang; Wei-Ta Chu; Bing-Cheng Chuang; Jia-Hua Lee; et al. (CoRR, 2025)

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning. - Xinyao Liu; Diping Song (CoRR, 2025)