Data Mining Service Architecture - An Exploration on Self-organizing Software. - Junpeng Bao; Bin Tao; Jie Su; Hui He (ICSOFT, 2012)

Measuring UML Model Similarity. - Jie Su; Junpeng Bao (ICSOFT, 2012)

A New Efficient Text Clustering Ensemble Algorithm Based on Semantic Sequences. - Zhonghui Feng; Junpeng Bao; Kaikai Liu (ICSI (2), 2013)

DX-IFD: An Intelligent Force Deployment System. - Junpeng Bao; Yuepeng Zhang; Wenqing Wang; Jun Zeng; De Zhang; Ruiyu Yuan (AIAI, 2014)

An improved alignment-free model for dna sequence similarity metric. - Junpeng Bao; Ruiyu Yuan; Zhe Bao (BMC Bioinform., 2014)

RIMM: A novel map matching model with rotational invariance. - Junpeng Bao; Qian Cao; Yuepeng Zhang; Jun Zeng; De Zhang (DSAA, 2015)

Multi-step Ahead Time Series Forecasting for Different Data Patterns Based on LSTM Recurrent Neural Network. - Yunpeng Liu 005; Di Hou; Junpeng Bao; Yong Qi (WISA, 2017)

Diversity and Evolution Trend of Protein Types of Human Influenza A (H1N1) Virus HA Segment. - Junpeng Bao; Fangfang Huang; Hui He; Ke Yang; Zhonghui Feng; Yu Wang (HPCC/SmartCity/DSS, 2018)

Rapid Detection and Prediction of Influenza A Subtype using Deep Convolutional Neural Network based Ensemble Learning. - Yu Wang; Junpeng Bao; Jianqiang Du; Yongfeng Li (ICBBB, 2020)

Knowledge-graph based Proactive Dialogue Generation with Improved Meta-learning. - Hongcai Xu; Junpeng Bao; Junqing Wang (IPMV, 2020)

Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning. - Hongcai Xu; Junpeng Bao; Gaojie Zhang (CoRR, 2020)

Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data. - Yu Wang; Junpeng Bao; Jianqiang Du; Yongfeng Li (CoRR, 2020)

Bound smoothing based time series anomaly detection using multiple similarity measures. - Wenqing Wang; Junpeng Bao; Tao Li (J. Intell. Manuf., 2021)

Correction to: Bound smoothing based time series anomaly detection using multiple similarity measures. - Wenqing Wang; Junpeng Bao; Tao Li (J. Intell. Manuf., 2021)

Neural generative model for clustering by separating particularity and commonality. - Wenqing Wang; Junpeng Bao; Siyao Guo (Inf. Sci., 2022)

Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion. - Hongcai Xu; Junpeng Bao; Wenbo Liu (ACL (1), 2023)

A Difference Measuring Network for Few-Shot Learning. - Yu Wang; Junpeng Bao; Yanhua Li; Zhonghui Feng (AIAI (2), 2023)

Multi-modal Intent Detection with LVAMoE: the Language-Visual-Audio Mixture of Experts. - Tingyu Li; Junpeng Bao; Jiaqi Qin; Yuping Liang; Ruijiang Zhang; Jason Wang (ICME, 2024)

A Multi-scale Parallel Unsupervised Model for Multivariate Time Series Anomaly Detection. - Junpeng Bao; Han Gao; Chengpu Zhang; Wentao Jia; Junzhe Gao; Tongzhi Yang (AIAI (4), 2024)

Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation. - Hongcai Xu; Junpeng Bao; Qika Lin; Lifang Hou; Feng Chen (Cogn. Comput., 2024)

A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph. - Shule Hao; Junpeng Bao; Chuncheng Lu (CoRR, 2025)