主要研究方向：
融合软件工程、服务计算、人工智能、复杂系统等多领域技术，在智能化软件工程、智能与认知服务、跨界服务、云-边-端复杂系统治理、软件生态系统等前沿方向开展应用基础研究及成果转化工作，曾主持多项国家重大重点项目科研项目，研究成果获多项多政府与学会奖励。2021年，团队与思高科技共建“武汉大学-思高科技智能化软件与服务联合实验室”，将新一代人工智能技术与软件服务相结合，致力于解决企业数智化转型升级中的实际问题，开展面向智能体（AI Agent）的软件产品与服务平台研究。
代表性学术论著：
【期刊论文】
[1] Shuaiyu Xie ; Jian Wang ; Hanbin He ; Zhihao Wang ; Yuqi Zhao ; Neng Zhang ; Bing Li. TVDiag: A Task-oriented and View-invariant Failure Diagnosis Framework for Microservice-based Systems with Multimodal Data[J].ACM Transactions on Software Engineering and Methodology(TOSEM), 2025.
[2] Zhang, Pin ; Lin, Ke ; Li, Duantengchuan ; Fu, Zixun ; Cai, Yuefeng ; Li, Bing. DAPlanner: Dual-agent framework with multi-modal large language model for autonomous driving motion planning[J].APPLIED SOFT COMPUTING,2025,183.
[3] Nan, Siyu ; Wang, Jian ; Zhang, Neng ; Li, Duantengchuan ; Li, Bing. DDASR: Deep Diverse API Sequence Recommendation[J].ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY(TOSEM),2025,34(6).
[4] Qiao, Yu ; Lu, Xiangfei ; Wang, Chong ; Wang, Jian ; Tang, Wei ; Li, Bing. Predicting Issue Resolution Time of OSS Using Multiple Features[J].JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS,2025,37(1).
[5] Zhao Yuqi, Li Bing, Wang Jian, et al.Empirical mode decomposition with multivariable time series feature learning for QoS prediction[J].KNOWLEDGE-BASED SYSTEMS,2025,317.
[6] Liu Yu, Wang Jian, Li Bing. EDVAE: Disentangled latent factors models in counterfactual reasoning for individual treatment effects estimation[J].INFORMATION SCIENCES,2024,652.
[7] Xie Shuaiyu, Wang Jian, Li Bing, et al.PBScaler: A Bottleneck-Aware Autoscaling Framework for Microservice-Based Applications[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING(TSC),2024,17(2):604-616.
[8] Li, Duantengchuan ; Shi, Fobo ; Wang, Xiaoguang ; Zheng, Chao ; Cai, Yuefeng ; Li, Bing. Multi-perspective knowledge graph completion with global and interaction features[J].INFORMATION SCIENCES,2024,666.
[9] Li, Duantengchuan ; Xia, Tao ; Wang, Jing ; Shi, Fobo ; Zhang, Qi ; Li, Bing. SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding[J].KNOWLEDGE-BASED SYSTEMS,2024,284.
[10] Liu Yu, Li Duantengchuan, Wang Kaili, Xiong, Zhuoran ; Shi, Fobo ; Wang, Jian ; Li, Bing. Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs[J].INFORMATION PROCESSING & MANAGEMENT(IPM),2024,61(5).
[11] Zhu Yuhan, Wang Jian, Li Bing, et al.MicroIRC: Instance-level Root Cause Localization for Microservice Systems[J].JOURNAL OF SYSTEMS AND SOFTWARE(JSS),2024,216.
[12] Liu Bingqian, Li Duantengchuan, Wang Jian,Wang, Zhihao , Li, Bing.Integrating user short-term intentions and long-term preferences heterogeneous hypergraph networks for sequential recommendation[J]. INFORMATION PROCESSING & MANAGEMENT(IPM),2024,61(3).
[13] Fan Linkun, He Fazhi, Song Yupeng, Xu, Huangxinxin , Li, Bing. Look inside 3D point cloud deep neural network by patch-wise saliency map[J].INTEGRATED COMPUTER-AIDED ENGINEERING,2024,31(2):197-212.
[14] Li, Duantengchuan ; Deng, Ceyu ; Wang, Xiaoguang ; Li, Zhifei ; Zheng, Chao ; Wang, Jing ; Li, Bing. Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system[J].INFORMATION PROCESSING & MANAGEMENT(IPM),2024,61(3).
[15] Qiao, Yu ; Wang, Jian ; Liu, Zhengli ; Tang, Wei ; Lu, Xiangfei ; Li, Bing. An ecology-oriented convergence evolution analysis method of crossover service ecosystems[J]. JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS,2024,36(7).
[16] Fan, Linkun ; He, Fazhi ; Si, Tongzhen ; Fan, Rubin ; Ye, Chuanlong ; Li, Bing. MBA: Backdoor Attacks Against 3D Mesh Classifier[J] .IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2024,19:2127-2142.
[17] Liu Yu, Li Duantengchuan, Wang Jian, Li Bing, et al. MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation[J].INFORMATION PROCESSING & MANAGEMENT(IPM), 2024,61(3).
[18] Chang Jiaxin, Wang Jian, Li Bing, et al.Attention-Based Deep Reinforcement Learning for Edge User Allocation[J].IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT,2024,21(1):590-604.
[19] Wang, Jingxiong ; Zhang, Qi ; Shi, Fobo ; Li, Duantengchuan ; Cai, Yuefeng ; Wang, Jian ; Li, Bing.nKnowledge graph embedding model with attention-based high-low level features interaction convolutional network[J].INFORMATION PROCESSING & MANAGEMENT(IPM),2023,60(4).
[20] Fan Linkun, He Fazhi, Li Bing, et al.Explore Gap between 3D DNN and Human Vision Utilizing Fooling Point Cloud Generated by MEHHO[J].Security and Communication Networks,2023.
[21] Zhu Jiangyuan, Li Bing, Wang Jian, et al. BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction[J].KNOWLEDGE-BASED SYSTEMS,2023,263.
[22] Liu Zhengli, Li Bing, Wang Jian, et al. Goal model convergence and conflict detection for crossover services[J].JOURNAL OF SYSTEMS AND SOFTWARE,2023,199.
[23] Cheng Can, Li Bing, Li Zengyang, et al.An in-depth study of the effects of methods on the dataset selection of public development projects[J].IET SOFTWARE,2022,16(2):146-166.
[24] Cheng Can, Li Bing, Li Zengyang, et al.Improving generality and accuracy of existing public development project selection methods: a study on GitHub ecosystem[J].AUTOMATED SOFTWARE ENGINEERING,2022,29(1).
[25] Liu Yongqiang, Li Bing, Wang Jian, et al.Multi-information fusion based few-shot Web service classification[J].FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2022,130:231-240.
[26] He Guoliang, Li Bing, Wang Han, et al.Cost-Effective Active Semi-Supervised Learning on Multivariate Time Series Data With Crowds[J].IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022,52(3):1437-1450.
[27] Zhao Yuqi, Li Bing, Wang Jian, et al.Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing[J].KNOWLEDGE-BASED SYSTEMS,2022,258(109983).
[28] Liu Zhengli, Li Bing, Wang Jian, et al.A method of value model convergence and profit optimization for crossover services[J].JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES,2022,34(10):10459-10473.
[29] Liu Zhengli, Li Bing, Wang Jian, et al.Requirements engineering for crossover services: Issues, challenges and research directions[J].IET SOFTWARE,2021,15(1):107-125.
[30] Zhang Zekun, Li Bing, Wang Jian, et al.An Approach of Automated Anomalous Microservice Ranking in Cloud-Native Environments[J].INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING,2021,31(11N12):1661-1681.
[31] Liu Zhengli, Li Bing, Wang Jian, et al.A Value-Driven Modeling Approach for Crossover Services[J].INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH,2020,17(3):20-38.
【会议论文】
[1] Shuaiyu Xie ; Jian Wang ; Maodong Li ; Jifeng Xuan ; Bing Li. TracePicker: Optimization-Based Trace Sampling for Microservice-Based Systems[C]., 33rd ACM International Conference on the Foundations of Software Engineering(FSE), 2025, 1802-1823.
[2] Wang, Zhihao ; Bai, He ; Huang, Wenke ; Li, Duantengchuan ; Wang, Jian; Li, Bing. Federated Recommendation with Explicitly Encoding Item Bias[C].,39th AAAI Conference on Artificial Intelligence, 2025, 12792-12800.
[3] Li, Maodong ; Zheng, Chao ; Wang, Jian ; Li, Bing. Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization[C].,39th AAAI Conference on Artificial Intelligence, 2025,39(5):4842-4850.
[4] Fan, Linkun ; He, Fazhi ; Si, Tongzhen ; Tang, Wei ; Li, Bing. Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain[C].,38th AAAI Conference on Artificial Intelligence, AAAI, 2024,38(19):21072-21080.
[5] Qiao, Yu ; Wang, Jian ; Cheng, Can ; Tang, Wei ; Liang, Peng ; Zhao, Yuqi ; Li, Bing. Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships[C].,IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C), 2024:417-428.
[6] Deng, Yi ; Wang, Jian ; Wang, Chong ; Zheng, Chao ; Li, Maodong ; Li, Bing. Enhancing Predictive Process Monitoring with Sequential Graphs and Trace Attention[C].,IEEE International Conference on Web Services (IEEE ICWS), 2024:406-415.
[7] Cai Rujian, Zheng Chao, Wang Jian, Wang, Zhihao ; Li, Bing. Reinforcement Learning-Based Streaming Process Discovery Under Concept Drift[C].,36th International Conference on Advanced Information Systems Engineering (CAiSE), 2024,14663:55-70.
[8] Wang, Beian ; Wang, Chong ; Liang, Peng ; Li, Bing ; Zeng, Cheng. How LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts[C]., 2nd IEEE International Conference on Software Services Engineering (SSE)， 2024:249-257.
[9] Fan, Linkun ; He, Fazhi ; Si, Tongzhen ; Tang, Wei ; Li, Bing. Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain[C].,38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, 2024:21072-21080.
[10] Zhao Yuqi, Jiang Delun, Li Bing, et al.A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling[C]., IEEE International Conference on Web Services(ICWS), 2023:299-309.
[11] Zhao Yuqi, Wang Jian, Li Bing. A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing[C].,1st International Conference on Service-Oriented Computing (ICSOC), 2023, 14420, 127-142.(Distinguished Paper)
[12] Zhang Zekun, Li Bing, Wang Jian, et al.AAMR: Automated anomalous microservice ranking in cloud-native environment[C].,33rd International Conference on Software Engineering and Knowledge Engineering(SEKE), ,2021, July:86-91.(Best Paper)
[13] Deng Jiale, Li Bing, Wang Jian, et al.Microservice Pre-Deployment Based on Mobility Prediction and Service Composition in Edge[C].,IEEE International Conference on Web Services (ICWS) / IEEE World Congress on Services (IEEE SERVICES), 2021:569-578.(Best Student Paper)
[14] Yao Li, Li Bing, Wang Jian.Data-sparsity service discovery using enriched neural topic model and attentional Bi-LSTM[C].,32nd International Conference on Software Engineering and Knowledge Engineering(SEKE), 2020,PartF162440:228-233.
[15] Peng Yu, Li Bing, Wang Jian, et al. An Approach of Crossover Service Goal Convergence and Conflicts Resolution[C].,4th IEEE International Conference on Edge Computing (IEEE EDGE) / IEEE World Congress on Services (SERVICES), 2020:225-230.
[16] Chen Xiuqing, Li Bing, Wang Jian, et al.Integrating EMD with Multivariate LSTM for Time Series QoS Prediction[C].,IEEE International Conference on Web Services (ICWS) / IEEE World Congress on Services (IEEE SERVICES), 2020:58-65.
[17]Shan Yiwei, Qiao Yu, Li Bing, et al.A Process Convergence Approach for Crossover Services based on Message Flow Partition and Merging[C].,13th IEEE International Conference on Services Computing (SCC) / 13th IEEE International Conference on Web Services (ICWS),2020:178-185.
【著作】
[1] Jianwei Yin, Bing Li, Zhongjie Wang,Shuiguang Deng. Convergence in Crossover Service[M].Singapore:Springer Singapore & Zhejiang University Press,2023.
[2] 李伯虎, 李兵, 孙少陵,等.云计算导论[M]:机械工业出版社,2021.