雷建军，韩国仁荷大学（Inha University）计算机信息工程专业博士毕业，教授，博士生导师。加拿大渥太华大学高级访问学者。近年来，主要从事大模型、语音情感分析、多模态数据处理、视频语义分析、网络智能技术等领域的应用研究。主持和参与国家自然科学基金、教育部、人力资源和社会保障部、重庆市科委、重庆市教委、中韩国际合作研究项目以及企业开发项目等科研项目20余项，在国际、国内期刊和国际学术会议发表论文50余篇，其中SCI、EI检索40余篇。授权国际国内发明专利30多项。拟招收 博士生3人、 博留学博士/硕士生1-2人、硕士生（学硕、专硕）6人，拟定研究方向包括：深度学习大语言模型与RAG（智能对话机器人、TXT2SQL、知识图谱）；语音数据处理（语音情感分析、语音质检、语音数据分离和增强、文本语音转换）；计算机视觉（多模态情感分析、视频语义检索）；网络智能技术（深度强化学习物联网信道资源和路由优化）；近期部分论文成果(论文原文PDF文档可通过“科学研究”->"论文成果"页面下载)：[1] Jianjun Lei, Renwang He, Ying Wang. Enhanced Text-to-SQL using cooperative reinforcement learning for small language models[J]. Neurocomputing,Volume 673, 2026, ISSN 0925-2312. https://doi.org/10.1016/j.neucom.2026.132865. (SCI2区）[2] Jianjun Lei, Yijie Tan, Ying Wang. EMLC: An extensible multi-level correction framework for text-to-SQL[J]. Information Processing & Management, Volume 63, Issue 3,2026, ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2025.104560. (SCI1区TOP）[3] Jianjun Lei, Kai Ye, Ying Wang, Cross-attention fusion for audio-visual emotion recognition with shared transformer[J]. Speech Communication, Volume 178, 2026, 103356, https://doi.org/10.1016/j.specom.2026.103356 (SCI2区）[4] Lei, J., Zhang, T., Wang, Y. et al. SCMI-Net: Semantic constraints and modal interaction network for multimodal emotion recognition. Journal of Intelligent Information Systems (2026). https://doi.org/10.1007/s10844-026-01021-2 (SCI3区）[5] Li, Y., Lei, J., Wang, Y. et al. DGC: Dual-graph attention network with contrastive representation generation for emotion recognition in conversations. Journal of Intelligent Information Systems (2026). https://doi.org/10.1007/s10844-026-01028-9 (SCI3区）[6] Wang, Y., Lei, J., Li, Y. et al. GATR: a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization. Journal of King Saud University Computer and Information Sciences. 37, 274 (2025). https://doi.org/10.1007/s44443-025-00266-1 (SCI2区）[7] Jianjun Lei, Jie Liu. Reinforcement learning-based load balancing for heavy traffic Internet of Things[J]. PERVASIVE AND MOBILE COMPUTING, Volume 99, 2024. https://doi.org/10.1016/j.pmcj.2024.101891 (SCI3区）[8] Jianjun Lei, Yun He, Ying Wang, MFFN: Multi-level Feature Fusion Network for monaural speech separation[J], Speech Communication, Volume 171, 2025, 103229, ISSN 0167-6393, https://doi.org/10.1016/j.specom.2025.103229 (SCI2区）[9] Lei J, Chen S, Wang Y. GenerCTC: a general two-stage contrastive training framework for text classification[J]. The Journal of Supercomputing, 2025, 81(1):1-22. https://doi.org/10.1007/s11227-024-06628-2（SCI3区）[10] Ying Wang, Jianjun Lei, Fengjun Shang, Yuanyuan Li. A comprehensive survey of multi-agent deep reinforcement learning for wireless spectrum management[J]. Neurocomputing, Volume 653, 2025, 131236, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2025.131236 (SCI2区）[11] Ying Wang, Jianjun Lei, Xiangwei Zhu, Tao Zhang. Multimodal speech emotion recognition via modality constraint with hierarchical bottleneck feature fusion[J]. Speech Communication, Volume 173, 2025, 103278, ISSN 0167-6393, https://doi.org/10.1016/j.specom.2025.103278 (SCI2区）[12] Lei J, Wang J, Wang Y. Multi-level attention fusion network assisted by relative entropy alignment for multimodal speech emotion recognition[J]. Applied Intelligence, 2024, 54(17):8478-8490. https://doi.org/10.1007/s10489-024-05630-8 (SCI2区）[13] Ying Wang, Yuanyuan Li, Jianjun Lei, Fengjun Shang. Robust and energy-efficient RPL optimization algorithm with scalable deep reinforcement learning for IIoT[J]. Computer Networks, Volume 255, 2024, 110894, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2024.110894 (SCI2区）[14] Jianjun Lei, Dewang Tan, Xiaohan Ma, Ying Wang. Reinforcement learning based multi-parameter joint optimization in dense multi-hop wireless networks[J]. Ad Hoc Networks, Volume 154, 2024, 103357, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2023.103357 (SCI3区）[15] Lei, J., Wu, C. & Wang, Y. CLGLIAM: contrastive learning model based on global and local semantic interaction for address matching[J]. Applied Intelligence, 29267–29281 (2023). https://doi.org/10.1007/s10489-023-05089-z (SCI2区）[16] Ying Wang, Fengjun Shang, Jianjun Lei. Multi-granularity fusion resource allocation algorithm based on dual-attention deep reinforcement learning and lifelong learning architecture in heterogeneous IIoT[J]. Information Fusion, Volume 99, 2023, 101871, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2023.101871(SCI1区TOP）[17] Ying Wang, Fengjun Shang, Jianjun Lei, Xiangwei Zhu, Haoming Qin, Jiayu Wen. Dual-attention assisted deep reinforcement learning algorithm for energy-efficient resource allocation in Industrial Internet of Things[J]. Future Generation Computer Systems, Volume 142, 2023, Pages 150-164, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.12.009(SCI1区）[18] Ying Wang, Fengjun Shang, Jianjun Lei. Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach[J]. Journal of Network and Computer Applications, Volume 217, 2023, 103674, ISSN 1084-8045, https://doi.org/10.1016/j.jnca.2023.103674(SCI2区）[19] Jianjun Lei, Xiangwei Zhu, Ying Wang. BAT: Block and token self-attention for speech emotion recognition[J]. Neural Networks, Volume 156,2022, Pages 67-80, ISSN 0893-6080, https://doi.org/10.1016/j.neunet.2022.09.022 (SCI1区TOP）[20] Jianjun Lei, Lu Li, Ying Wang. QoS-oriented media access control using reinforcement learning for next-generation WLANs[J]. Computer Networks, Volume 219, 2022, 109426, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2022.109426 (SCI2区）[21] Y. Wang, F. Shang and J. Lei. Reliability Optimization for Channel Resource Allocation in Multihop Wireless Network: A Multigranularity Deep Reinforcement Learning Approach[J]. IEEE Internet of Things Journal, vol. 9, no. 20, pp. 19971-19987, 15 Oct.15, 2022, https://doi.org/10.1109/JIOT.2022.3170875 (SCI1区TOP）[22] Ying Wang, Jianjun Lei, Fengjun Shang, and Fuhui Zhou. Enabling Device-to-Device (D2D) Communication for the Next Generation WLAN[J]. Wireless Communications and Mobile Computing. 2021 (2021). https://doi.org/10.1155/2021/1949352 (SCI4区）[23] Lei J, Wang Y, Xia Y. SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs[J]. Wireless Communications and Mobile Computing, 2019, 2019(8):1-19. https://doi.org/10.1155/2019/4015262 (SCI4区）[24] Jianjun Lei, Jianhua Jiang, Fengjun Shang. Channel Assignment Mechanism for Multiple APs Cochannel Deployment in High Density WLANs[J]. Wireless Communications and Mobile Computing. 2018 (2018). https://doi.org/10.1155/2018/6931765(SCI4区）[25] Lei, J., Bi, H., Xia, Y., Huang, J., & Bae, H. An in-network data cleaning approach for wireless sensor networks[J]. Intelligent Automation & Soft Computing, 22(4), 599–604. https://doi.org/10.1080/10798587.2016.1152769 (SCI4区）[26] Lei J J, Park T, Kwon G I. A Reliable Data Collection Protocol Based on Erasure-Resilient Code in Asymmetric Wireless Sensor Networks[J].International Journal of Distributed Sensor Networks, 2013(4):179-180. https://doi.org/10.1155/2013/730819 (SCI4区）