Observer-based bipartite consensus tracking of nonlinear fractional-order multi-agent systems with pull-based dynamic event-triggered mechanism - Xiaohe Li; Jing Bai; Guoguang Wen; Xue Xia (Trans. Inst. Meas. Control, 2025)

Graph Neural Network with curriculum learning for imbalanced node classification - Xiaohe Li; Zide Fan; Feilong Huang; Xuming Hu; Yawen Deng; Lei Wang; Xinyu Zhao (Neurocomputing, 2024)

Task-oriented analysis and visualization of correlation patterns in multi-sensor time series - Jiancheng Sun; Xiaohe Li; Yongnu Jin; Liyun Dai; Xiangdong Peng; Chunlin Chen (Knowl. Based Syst., 2024)

Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields - Xiaohe Li; Zide Fan; Xiaoxuan Liu; Yidan Zhang; Yunping Ge; Lijie Wen (IEEE Geosci. Remote. Sens. Lett., 2024)

SS08: Development and application of knowledge graphs and large language models technology - Yuting Yang; Minghao Wang; Jiexin Hu; Tao Yin; Chao Gao; Xiaohe Li (IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023, 2024)

MDD: Process Drift Detection in Event Logs Integrating Multiple Perspectives - Yunuo Cao; Leilei Lin; Ying Di; Xiaohe Li; Wenlong Chen (IEEE International Conference on Web Services, ICWS 2024, Shenzhen, China, July 7-13, 2024, 2024)

MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain - Xiaohe Li; Feilong Huang; Zide Fan; Fangli Mou; Yingyan Hou; Chen Qian; Lijie Wen (CoRR, 2024)

C\(^2\)INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention - Xiaohe Li; Feilong Huang; Zide Fan; Fangli Mou; Leilei Lin; Yingyan Hou; Lijie Wen (CoRR, 2024)

Containment control for fractional order MASs with nonlinearity and time delay via pull-based event-triggered mechanism - Xue Xia; Jing Bai; Xiaohe Li; Guoguang Wen (Appl. Math. Comput., 2023)

A Framework for Infectious Disease Monitoring With Automated Contact Tracing - A Case Study of COVID-19 - Fang Ye; Sumit Majumder; Wei Jiang; Xiaohe Li; Narayanaswamy Balakrishnan; Yuanting Zhang; M. Jamal Deen (IEEE Internet Things J., 2023)

Developing a More Reliable Framework for Extracting Traffic Data From a UAV Video - Xiaohe Li; Jianping Wu (IEEE Trans. Intell. Transp. Syst., 2023)

Extracting High-Precision Vehicle Motion Data from Unmanned Aerial Vehicle Video Captured under Various Weather Conditions - Xiaohe Li; Jianping Wu (Remote. Sens., 2022)

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification - Xiaohe Li; Lijie Wen; Yawen Deng; Fuli Feng; Xuming Hu; Lei Wang; Zide Fan (CoRR, 2022)

A comparative analysis of eleven neural networks architectures for small datasets of lung images of COVID-19 patients toward improved clinical decisions - Yuan Yang; Lin Zhang; Mingyu Du; Jingyu Bo; Haolei Liu; Lei Ren; Xiaohe Li; M. Jamal Deen (Comput. Biol. Medicine, 2021)

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction - Xuming Hu; Chenwei Zhang; Yawen Yang; Xiaohe Li; Li Lin; Lijie Wen; Philip S. Yu (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021)

Pchatbot: A Large-Scale Dataset for Personalized Chatbot - Hongjin Qian; Xiaohe Li; Hanxun Zhong; Yu Guo; Yueyuan Ma; Yutao Zhu; Zhanliang Liu; Zhicheng Dou; Ji-Rong Wen (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction - Xuming Hu; Chenwei Zhang; Yawen Yang; Xiaohe Li; Li Lin; Lijie Wen; Philip S. Yu (CoRR, 2021)

GAHNE: Graph-Aggregated Heterogeneous Network Embedding - Xiaohe Li; Lijie Wen; Chen Qian; Jianmin Wang (32nd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2020, Baltimore, MD, USA, November 9-11, 2020, 2020)

Pchatbot: A Large-Scale Dataset for Personalized Chatbot - Xiaohe Li; Hanxun Zhong; Yu Guo; Yueyuan Ma; Hongjin Qian; Zhanliang Liu; Zhicheng Dou; Ji-Rong Wen (CoRR, 2020)

GAHNE: Graph-Aggregated Heterogeneous Network Embedding - Xiaohe Li; Lijie Wen; Chen Qian; Jianmin Wang (CoRR, 2020)

A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation - Xiaohe Li; Jiaqing Liu; Weihao Zheng; Xiangbo Wang; Yutao Zhu; Zhicheng Dou (NII Testbeds and Community for Information Access Research - 14th International Conference, NTCIR 2019, Tokyo, Japan, June 10-13, 2019, Revised Selected Papers, 2019)

A Research on Fast Face Feature Points Detection on Smart Mobile Devices - Xiaohe Li; Xingming Zhang; Haoxiang Wang (Wirel. Commun. Mob. Comput., 2018)

Character segmentation in text line via convolutional neural network - Xiaohe Li; Xingming Zhang; Bin Yang; Siyu Xia (4th International Conference on Systems and Informatics, ICSAI 2017, Hangzhou, China, November 11-13, 2017, 2017)

Scaling the kernel function based on the separating boundary in input space: A data-dependent way for improving the performance of kernel methods - Jiancheng Sun; Xiaohe Li; Yong Yang; Jianguo Luo; Yaohui Bai (Inf. Sci., 2012)

Analysis of the distance between two classes for tuning SVM hyperparameters - Jiancheng Sun; Chongxun Zheng; Xiaohe Li; Yatong Zhou (IEEE Trans. Neural Networks, 2010)

Distance between Two Classes: A Novel Kernel Class Separability Criterion - Jiancheng Sun; Chongxun Zheng; Xiaohe Li (IEICE Trans. Inf. Syst., 2009)

Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field via Bayesian Theory - Xiaohe Li; Taiyi Zhang; Zhan Qu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model - Yatong Zhou; Taiyi Zhang; Xiaohe Li (Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I, 2006)

Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes - Yatong Zhou; Taiyi Zhang; Xiaohe Li (Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings, 2006)

Optimizing Mobile Network Datagram Routing through Programmable Proxying - Peter Tabery; Christian Bachmeir; Xiaohe Li (Mobile and Wireless Communications Networks - Proceedings of the Fifth IFIP-TC6 International Conference, Singapore, October 27-29, 2003, 2003)