Machine Cognition and Learning Based on Interactive Symbolic Computation. - Guangxi Chen; Zhenbing Zeng; Zhongqin Bi (IPC, 2007)

Termination of Nested Loop. - Bin Wu; Zhongqin Bi (ISCSCT (2), 2008)

Termination of Loop Programs with Polynomial Guards. - Bin Wu; Liyong Shen; Zhongqin Bi; Zhenbing Zeng (ICCSA (4), 2010)

Computing invariants of hybrid system using quantifier elimination. - Yongquan Wang; Zhiqing Shao; Zhongqin Bi (ICIS, 2010)

CMMB Image Sequences Measurement Based on Computation in High-Dimension Space. - Jun Yang; Shi-jiao Zhu; Zhongqin Bi (AICI, 2012)

From Landscape to Portrait: A New Approach for Load Curve Data Analysis and Cleansing. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Zhongqin Bi; Jiuyang Tang (CoRR, 2013)

SSE: A Secure Searchable Encryption Scheme for Urban Sensing and Querying. - Mi Wen; Jingsheng Lei; Zhongqin Bi (Int. J. Distributed Sens. Networks, 2013)

Advances and Future Challenges in Electric Power Big Data. - Yindong Yang; Zhongqin Bi (CBD, 2014)

Approximate Reduction for the Interval-Valued Decision Table. - Feifei Xu; Zhongqin Bi; Jingsheng Lei (RSKT, 2014)

From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Zhongqin Bi; Jiuyang Tang (IEEE Trans. Smart Grid, 2014)

Improving the Uplink Performance of Drive-Thru Internet via Platoon-Based Cooperative Retransmission. - Dongyao Jia; Rui Zhang 031; Kejie Lu; Jianping Wang 001; Zhongqin Bi; Jingsheng Lei (IEEE Trans. Veh. Technol., 2014)

Cost minimization attribute reduction based on mutual information. - Feifei Xu; Zhongqin Bi; Jingsheng Lei (FSKD, 2015)

EAPA: An efficient authentication protocol against pollution attack for smart grid. - Mi Wen; Jingsheng Lei; Zhongqin Bi; Jing Li (Peer-to-Peer Netw. Appl., 2015)

Attribute reduction in decision-theoretic rough set model based on minimum decision cost. - Zhongqin Bi; Feifei Xu; Jingsheng Lei; Teng Jiang (Concurr. Comput. Pract. Exp., 2016)

基于联合属性重要度的决策风险最小化属性约简 (Attribute Reduction Based on Cost Minimization and Significance of Joint Attributes). - Feifei Xu; Zhongqin Bi; Jingsheng Lei (计算机科学, 2016)

Unsupervised Hyperspectral Band Selection by Dominant Set Extraction. - Guokang Zhu; Yuancheng Huang; Jingsheng Lei; Zhongqin Bi; Feifei Xu (IEEE Trans. Geosci. Remote. Sens., 2016)

Steganalysis Over Large-Scale Social Networks With High-Order Joint Features and Clustering Ensembles. - Fengyong Li; Kui Wu 001; Jingsheng Lei; Mi Wen; Zhongqin Bi; Chunhua Gu (IEEE Trans. Inf. Forensics Secur., 2016)

An Efficient and Provably Secure Pairing-Free Certificateless Signature Scheme Based on Variant of RSA. - Liangliang Wang; Mi Wen; Kefei Chen; Zhongqin Bi; Yu Long 001 (CSS, 2017)

Recommending More Suitable Music Based on Users' Real Context. - Qing Yang 012; Le Zhan; Li Han; Jingwei Zhang 003; Zhongqin Bi (CollaborateCom, 2018)

Power Load Curve Clustering Algorithm Using Fast Dynamic Time Warping and Affinity Propagation. - Yu Jin; Zhongqin Bi (ICSAI, 2018)

Exploiting SDAE Model for Recommendations. - Qing Yang 012; Xianhe Yao; Jingwei Zhang 003; Zhongqin Bi (SEKE, 2018)

An Approach for Item Recommendation Using Deep Neural Network Combined with the Bayesian Personalized Ranking. - Zhongqin Bi; Siming Zhou; Xiaoxian Yang; Ping Zhou; Jiale Wu (CollaborateCom, 2019)

Covering Diversification and Fairness for Better Recommendation (Short Paper). - Qing Yang 012; Li Han; Ya Zhou; Shaobing Liu; Jingwei Zhang 003; Zhongqin Bi; Fang Pan (CollaborateCom, 2019)

Power Micro-Blog Text Classification Based on Domain Dictionary and LSTM-RNN. - Mengyao Shen; Jing-Sheng Lei; Fei-ye Du; Zhongqin Bi (TRIDENTCOM, 2019)

A new VRSA-based pairing-free certificateless signature scheme for fog computing. - Liangliang Wang; Mi Wen; Kefei Chen; Zhongqin Bi; Yu Long 001 (Concurr. Comput. Pract. Exp., 2019)

An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis. - Zhongqin Bi; Yabin Leng; Zhe Liu; Yongbin Li; Stelios Fuentes (MobiCASE, 2020)

Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers. - Zhongqin Bi; Tianchen Zhang; Ping Zhou; Yongbin Li (IEEE Access, 2020)

A recommendations model with multiaspect awareness and hierarchical user-product attention mechanisms. - Zhongqin Bi; Shuming Dou; Zhe Liu; Yongbin Li (Comput. Sci. Inf. Syst., 2020)

Modeling Long-Term Dependencies from Videos Using Deep Multiplicative Neural Networks. - Wen Si; Cong Liu; Zhongqin Bi; Meijing Shan (ACM Trans. Multim. Comput. Commun. Appl., 2020)

YOLO-RFB: An Improved Traffic Sign Detection Model. - Zhongqin Bi; Fuqiang Xu; Meijing Shan; Ling Yu (MobiCASE, 2021)

Research on wireless robot path planning under edge computing considering multistep searching and inflection points. - Zhongqin Bi; Yuanyuan Ma; Xiaoxian Yang; Ping Zhou (Trans. Emerg. Telecommun. Technol., 2021)

Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios. - Zhongqin Bi; Ling Yu; Honghao Gao; Ping Zhou; Hongyang Yao (Int. J. Mach. Learn. Cybern., 2021)

Hierarchical Social Recommendation Model Based on a Graph Neural Network. - Zhongqin Bi; Lina Jing; Meijing Shan; Shuming Dou; Shiyang Wang (Wirel. Commun. Mob. Comput., 2021)

An Improved Dual-Subnet Lane Line Detection Model with a Channel Attention Mechanism for Complex Environments. - Zhongqin Bi; Kaian Deng; Wei Zhong; Meijing Shan (CollaborateCom (2), 2022)

Construction Method of Double-Carbon Domain Knowledge Graph. - Zhen Dong; Fan Cheng; Fengqing Du; Jing Liu; Zhongqin Bi (HCCS, 2022)

IFGAN: Information fusion generative adversarial network for knowledge base completion. - Tianchen Zhang; Zhongqin Bi; Meijing Shan; Yongbin Li (Expert Syst. J. Knowl. Eng., 2022)

A Multi-behavior Recommendation Algorithm Based on Personalized Federated Learning. - Zhongqin Bi; Yutang Duan; Weina Zhang; Meijing Shan (CollaborateCom (3), 2023)

YOLOX++ for Transmission Line Abnormal Target Detection. - Zhongqin Bi; Lina Jing; Chao Sun; Meijing Shan (IEEE Access, 2023)

Stochastic Embeddings in Multi-Intent Contrastive Learning for Sequential Recommendation. - Zhongqin Bi; Xiaoyu Wang; Weina Zhang; Xueni Hu (SEKE, 2024)

Fault Location in Active Distribution Network Under Hybrid Classical Quantum Computing Architecture. - Yuzhe Xie; Xiaoting Yang; Qinran Zhu; Zhongqin Bi (IEEE Access, 2024)

Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism. - Zhongqin Bi; Susu Sun; Weina Zhang; Meijing Shan (Int. J. Web Inf. Syst., 2024)

Transmission line abnormal target detection algorithm based on improved YOLOX. - Zhongqin Bi; Lina Jing; Chao Sun; Meijing Shan; Wei Zhong (Multim. Tools Appl., 2024)

Variational bayesian clustering algorithm for unsupervised anomalous sound detection incorporating VH-BCL+. - Zhongqin Bi; Huanfeng Li; Weina Zhang; Zhen Dong (Multim. Tools Appl., 2024)

Quantum annealing algorithm for fault section location in distribution networks. - Zhongqin Bi; Xiaoting Yang; Baonan Wang; Weina Zhang; Zhen Dong; Dan Zhang (Appl. Soft Comput., 2024)

Few-shot task-oriented dialogue generation with in-context learning. - Zhongqin Bi; Xueni Hu; Weina Zhang; Xiaoyu Wang (Int. J. Web Inf. Syst., 2025)

Few-shot controlled dialogue generation using in-context learning. - Zhongqin Bi; Xueni Hu; Weina Zhang; Xiaoyu Wang (Discov. Comput., 2025)