Optimizing Mobile Network Datagram Routing through Programmable Proxying. - Peter Tabery; Christian Bachmeir; Xiaohe Li (MWCN, 2003)

Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model. - Yatong Zhou; Taiyi Zhang; Xiaohe Li (ICONIP (1), 2006)

Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes. - Yatong Zhou; Taiyi Zhang; Xiaohe Li (IDEAL, 2006)

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)

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

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

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 001; Jianguo Luo; Yaohui Bai (Inf. Sci., 2012)

Character segmentation in text line via convolutional neural network. - Xiaohe Li; Xingming Zhang; Bin Yang; Siyu Xia (ICSAI, 2017)

A Research on Fast Face Feature Points Detection on Smart Mobile Devices. - Xiaohe Li; Xingming Zhang 001; Haoxiang Wang 002 (Wirel. Commun. Mob. Comput., 2018)

RUCIR at NTCIR-14 STC-3 Task. - Xiaohe Li; Jiaqing Liu; Weihao Zheng; Xiangbo Wang; Yutao Zhu 001; Zhicheng Dou (NTCIR, 2019)

A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation. - Xiaohe Li; Jiaqing Liu; Weihao Zheng; Xiangbo Wang; Yutao Zhu 001; Zhicheng Dou (NTCIR (Revised Selected Papers), 2019)

GAHNE: Graph-Aggregated Heterogeneous Network Embedding. - Xiaohe Li; Lijie Wen 001; Chen Qian 003; Jianmin Wang 001 (ICTAI, 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)

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. - Xuming Hu; Chenwei Zhang; Yawen Yang; Xiaohe Li; Li Lin 011; Lijie Wen 001; Philip S. Yu (EMNLP (1), 2021)

Pchatbot: A Large-Scale Dataset for Personalized Chatbot. - Hongjin Qian; Xiaohe Li; Hanxun Zhong; Yu Guo; Yueyuan Ma; Yutao Zhu 001; Zhanliang Liu; Zhicheng Dou; Ji-Rong Wen (SIGIR, 2021)

A comparative analysis of eleven neural networks architectures for small datasets of lung images of COVID-19 patients toward improved clinical decisions. - Yuan Yang 006; Lin Zhang 009; Mingyu Du; Jingyu Bo; Haolei Liu; Lei Ren 001; Xiaohe Li; M. Jamal Deen (Comput. Biol. Medicine, 2021)

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. - Xiaohe Li; Lijie Wen 001; Yawen Deng; Fuli Feng; Xuming Hu; Lei Wang 077; Zide Fan (CoRR, 2022)

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

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 001; Yuanting Zhang; M. Jamal Deen (IEEE Internet Things J., 2023)

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)

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

SS08: Development and application of knowledge graphs and large language models technology. - Yuting Yang; Minghao Wang; Jiexin Hu; Tao Yin; Chao Gao; Xiaohe Li (ICKG, 2024)

MDD: Process Drift Detection in Event Logs Integrating Multiple Perspectives. - Yunuo Cao; Leilei Lin; Ying Di; Xiaohe Li; Wenlong Chen (ICWS, 2024)

MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain. - Xiaohe Li; Feilong Huang; Zide Fan; Fangli Mou; Yingyan Hou; Chen Qian 003; Lijie Wen 001 (CoRR, 2024)

C2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention. - Xiaohe Li; Feilong Huang; Zide Fan; Fangli Mou; Leilei Lin; Yingyan Hou; Lijie Wen 001 (CoRR, 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 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Graph Neural Network with curriculum learning for imbalanced node classification. - Xiaohe Li; Zide Fan; Feilong Huang; Xuming Hu; Yawen Deng; Lei Wang 077; Xinyu Zhao (Neurocomputing, 2024)

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)

SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception. - Xiaohe Li; Haohua Wu; Jiahao Li; Zide Fan; Kaixin Zhang; Xinming Li; Yunping Ge; Xinyu Zhao (CoRR, 2025)

FusionTrack: End-to-End Multi-Object Tracking in Arbitrary Multi-View Environment. - Xiaohe Li; Pengfei Li; Zide Fan; Ying Geng; Fangli Mou; Haohua Wu; Yunping Ge (CoRR, 2025)