李轩衡，大连理工大学信息与通信工程学院副教授，院长助理，小米青年学者，大连市青年科技之星，大连市高端人才，大连理工大学星海骨干。在IEEE J SEL AREA COMM、IEEE T WIREL COMMUN、IEEE T COMMUN、IEEE T VEH TECHNOL等顶级期刊与会议上发表论文50余篇，出版Springer专著章节1篇，累积被引800余次，研究成果曾获辽宁省自然科学奖二等奖、IEEE GLOBECOM（全球通信大会）最佳论文奖、辽宁省自然科学学术成果奖二等奖等奖项，授权国家发明专利8项。主持国家级、省部级等科研项目12项。担任Wireless Networks (Springer) 等国际期刊编辑，多个顶级期刊审稿人和国际会议的TPC成员，与美国休斯敦大学、香港城市大学、香港大学、北京理工大学、大连海事大学等国内外高校有着深入的科研合作。

主要研究方向：

1、智能无线感知：基于毫米波雷达的手势姿态识别、心跳呼吸检测、机械震动检测等。

2、CT理论与应用（孙怡教授团队）：工业CT成像、有限角/稀疏角CT重建、X-Ray缺陷检测等。

3、空天地海立体化网络：无人机部署与轨迹规划、集群智能决策与协同、网络资源智能分配等。

招生：如果你对人工智能和信号处理感兴趣，如果你有足够的上进心和科研热情，如果你有积极的态度并愿意接受挑战，欢迎联系我！责任，活力，热情是我们的特点，期待同样的你加入！

        头脑风暴的我们                                           潜心实验的我们                                            热爱生活的我们

Selected Journal Publications

[1] X. Liu, J. Yu, Y. Sun, X. Li*. Tiny Defect Oriented Single-view CT Reconstruction Based on a Hybrid Framework[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 4502514. (TOP, 中科院2区, JCR Q1, IF: 5.6)

[2] X. Li, X. Du, N. Zhao, X. Wang. Computing over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning[J]. IEEE Transactions on Communications, 2024, 72(3): 1355-1369. (TOP, 中科院2区, JCR Q1, IF: 8.3)

[3] X. Li, Y. Zhang, H. Ding, Y. Fang. Intelligent Spectrum Sensing and Access with Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning[J]. IEEE Transactions on Wireless Communications, 2023, Early Access. (TOP, 中科院1区, JCR Q1, IF: 10.4)

[4] X. Li, K. Jiao, X. Chen, H. Ding, J. Wang, M. Pan. Demand-Oriented Fog-RAN Slicing With Self-Adaptation via Deep Reinforcement Learning[J]. IEEE Transactions on Vehicular Technology, 2023, 72(11): 14704-14716. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[5] X. Li, S. Cheng, H. Ding, M. Pan, N. Zhao. When UAVs Meet Cognitive Radio: Offloading Traffic Under Uncertain Spectrum Environment via Deep Reinforcement Learning[J]. IEEE Transactions on Wireless Communications, 2023, 22(2): 824-838. (TOP, 中科院1区, JCR Q1, IF: 10.4)

[6] R. Zhang, X. Li*, N. Zhao. When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning [J]. IEEE Transactions on Vehicular Technology, 2023, 72(2): 2740-2744. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[7] X. Li, R. Xiao, M. Pan, N. Zhao. Risk-Averse Investment Strategy for MEC Service Provisioning: A Data-Driven Distributionally Robust Solution [J]. IEEE Internet of Things Journal, 2022, 9(23): 24148-24160. (TOP, 中科院1区, JCR Q1, IF: 10.6)

[8] X. Li, J. Liu, N. Zhao, X. Wang. UAV-Assisted Edge Caching Under Uncertain Demand: A Data-Driven Distributionally Robust Joint Strategy[J]. IEEE Transactions on Communications, 2022, 70(5): 3499-3511. (TOP, 中科院2区, JCR Q1, IF: 8.3)

[9] H. Sun, Y. Dong, Y. Zhang, X. Li*, J. Wang, N. Zhao, M. Pan. A Cost-Efficient Skipping Based Spectrum Sensing Scheme via Reinforcement Learning [J]. IEEE Transactions on Vehicular Technology, 2022, 71(2): 2220-2224. (TOP,中科院2区, JCR Q1, IF: 6.8)

[10] X. Li, K. Jiao, F. Jiang, J. Wang, M. Pan. A Service-Oriented Spectrum-Aware RAN-Slicing Trading Scheme Under Spectrum Sharing[J]. IEEE Internet of Things Journal, 2020, 7(11): 11303-11317. (TOP, 中科院1区, JCR Q1, IF: 10.6)

[11] X. Li, R. Xiao, M. Pan, F. Jiang, N. Zhao, X. Wang. Green Traffic Off-Loading over Uncertain Shared Spectrums with End-to-End QoS Guarantee[J]. IEEE Transactions on Vehicular Technology, 2020, 69(9): 9921-9936. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[12] H. Ding, X. Li*, Y. Ma, Y. Fang. Energy-Efficient Channel Switching in Cognitive Radio Networks: A Reinforcement Learning Approach[J]. IEEE Transactions on Vehicular Technology. 2020, 69(10): 12359-12362. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[13] X. Li, H. Ding, M. Pan, B. Lorenzo, Jie Wang, Yuguang Fang. Service-Oriented Hybrid-Database-Assisted Spectrum Trading: A Blueprint for Future Licensed Spectrum Sharing[J], IEEE Wireless Communications, 2019, 26(6): 156-163. (TOP, 中科院1区, JCR Q1, IF: 12.9)

[14] X. Li, H. Ding, M. Pan, J. Wang, H. Zhang, Y. Fang. Statistical QoS Provisioning Over Uncertain Shared Spectrums in Cognitive IoT Networks: A Distributionally Robust Data-Driven Approach[J]. IEEE Transactions on Vehicular Technology, 2019, 68(12): 12286-12300. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[15] X. Li, H. Ding, Y. Fang. A Data-Driven Cost-Effective Session-Oriented Cognitive Radio Transmission Scheme under Spectrum Uncertainty[J]. IEEE Transactions on Vehicular Technology, 2019, 68(12): 12401-12405. (TOP, 中科院2区, JCR Q1, IF: 6.8)

[16] X. Li, Y. Sun, Y. Guo, X. Fu, M. Pan. Dolphins First: Dolphin-Aware Communications in Multi-Hop Underwater Cognitive Acoustic Networks[J]. IEEE Transactions on Wireless Communications, 2017, 16(4): 2043-2056. (TOP, 中科院1区, JCR Q1, IF: 10.4)

[17] X. Li, H. Ding, M. Pan, Y. Sun, Y. Fang. Users First Service-Oriented Spectrum Auction with a Two-Tier Framework Support[J]. IEEE Journal on Selected Areas In Communications, 2016, 34(11): 2999-3013. (TOP, 中科院1区, JCR Q1, IF: 16.4)

[18] X. Li, N. Zhao, Y. Sun, F. R. Yu. Interference Alignment Based on Antenna Selection with Imperfect Channel State Information in Cognitive Radio Networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(7): 5497-5511. (TOP, 中科院2区, JCR Q1, IF: 6.8)

Selected Conference Publications

[1] Y. Zhang, X. Li*, H. Ding, Y. Fang. A Joint Scheme on Spectrum Sensing and Access with Partial Observation: A Multi-Agent Deep Reinforcement Learning Approach[C]. IEEE/CIC International Conference on Communications in China (ICCC), pp. 1-6, Dalian, China, 2023.

[2] X. Du, X. Li*, N. Zhao, X. Wang. A Joint Trajectory and Computation Offloading Scheme for UAV-MEC Networks via Multi-Agent Deep Reinforcement Learning[C]. Accepted by IEEE International Conference on Communications (ICC), pp. 5438-5443, Rome, Italy, 2023.

[3] X. Chen, L. Shan, X. Li*, N. Deng, N. Zhao. Proactive Dynamic Spectrum Sharing for URLLC Services Under Uncertain Environment via Deep Reinforcement Learning[C]. IEEE Wireless Communications and Networking Conference (WCNC), pp. 1497-1502, Austin, TX, USA, 2022.

[4] X. Li, S. Cheng, N. Zhao, N. Yao. A Joint Strategy for CUAV-based Traffic Offloading via Deep Reinforcement Learning[C]. IEEE Global Communications Conference (GLOBECOM), pp. 01-06, Madrid, Spain, 2021.

[5] X. Li, J. Liu, N. Zhao, N. Yao. A Proactive Joint Strategy on Trajectory and Caching for UAV-Assisted Networks: A Data-Driven Distributionally Robust Approach[C]. IEEE/CIC International Conference on Communications in China (ICCC), pp. 752-757, Xiamen, China, 2021.

[6] K. Jiao, X. Li*, M. Pan, F. Jiang, M. Li. Trading Based Service-Oriented Spectrum-Aware RAN-Slicing Under Spectrum Sharing[C]. IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, Seoul, Korea, 2020. 

[7] R. Xiao, X. Li*, M. Pan, N. Zhao, F. Jiang, X. Wang. Traffic Off-Loading over Uncertain Shared Spectrums with End-to-End Session Guarantee[C]. IEEE Vehicular Technology Conference (VTC2020-Fall), pp. 1-5, Victoria, BC, Canada, 2020.

[8] X. Li, H. Ding, M. Pan, J. Wang, H. Zhang, Y. Fang. Data-Driven Service Provisioning over Shared Spectrums with Statistical QoS Guarantee[C]. IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, Marrakesh, Morocco, 2019.

[9] X. Li, M. Pan, Y. Song, Y. Sun, Y. Fang. Economic-Robust Session Based Spectrum Trading in Multi-Hop Cognitive Radio Networks[C]. IEEE Global Communications Conference (GLOBECOM), pp. 1-6, San Diego, CA, USA, 2015. (Best Paper) 

[10] X. Li, Y. Sun, F. R. Yu, N. Zhao. Antenna Selection and Power Splitting for Simultaneous Wireless Information and Power Transfer in Interference Alignment Networks[C]. IEEE Global Communications Conference (GLOBECOM), pp. 2667-2672, Austin, TX, USA, 2014.

Book Chapter

[1] X. Li, H. Ding, Y. Fang, M. Pan, P. Li, X. Huang, Y. Sun, S. Glisic. Collaborative Spectrum Trading and Sharing for Cognitive Radio Networks, Handbook of Cognitive Radio, Springer, 2019.

课题组情况简介

• 博士生（副导师）

程思科（22级 硕博连读）：本科毕业于大连理工大学，研究方向：空天地海立体化网络、6G通信与感知一体化。

现阶段成果：IEEE Trans. Wirel. Commun.（TOP，中科院1区，JCR Q1，在投）；IEEE Trans. Wirel. Commun.（TOP，中科院1区，JCR Q1）；IEEE GlobeCom'21；发明专利1项；中国研究生创新实践系列大赛全国一等奖

张玉龙（23级 硕博连读）：本科毕业于大连理工大学，研究方向：智能无线感知。

现阶段成果：IEEE Trans. Wirel. Commun.（TOP，中科院1区，JCR Q1）；IEEE ICCC'23；中国研究生创新实践系列大赛东北赛区一等奖

柳嘉鸿（23级）：硕士毕业于大连理工大学，研究方向：工业CT成像、有限角CT重建。

• 硕士生

2021级：

杜欣阳：本科毕业于大连理工大学，研究方向：无人机网络，移动边缘计算。

现阶段成果：IEEE Trans. Commun.（TOP，中科院2区，JCR Q1）；IEEE ICC'23

2022级：

金灿：本科毕业于大连理工大学，研究方向：智能无线感知。

现阶段成果：IEEE Trans. Mobile Comput.（TOP，中科院2区，JCR Q1，在投）； 中国研究生创新实践系列大赛东北赛区一等奖

贾沛达：本科毕业于大连理工大学，研究方向：机器人灵巧手抓取。

现阶段成果：发明专利1项

2023级：

吕志远：本科毕业于大连理工大学，研究方向：智能无线感知。

现阶段成果：中国研究生创新实践系列大赛东北赛区一等奖

王健羽：本科毕业于大连理工大学，研究方向：智能无线感知。

徐梁：本科毕业于大连理工大学，研究方向：工业CT成像、有限角CT重建。

• 本科大创项目

基于强化学习的高效认知数据传输方法（国家级，结题，成果：A类SCI期刊论文1篇，发明专利1项）

基于强化学习的边缘计算卸载策略（省级，结题，成果：发明专利1项）

基于无人机的3D频谱感知（结题，成果：发明专利1项）

基于机器学习的智能通信感知一体化方法研究（国家级，在研）

基于WIFI信号的室内定位方法研究（省级，在研）