（1）课堂教学课程

        本科生：人工智能基础（核心课）

        研究生：机器学习与大数据分析（方向课）

（2）网络在线开放课程（通识选修课）

        国家精品视频公开课程：从自然世界到智能时代  （教育部视频公开课网址）（网易公开课网址）

        国家精品在线开放课程(MOOC)： 从自然世界到智能时代 

智能感知与自主无人系统；机器学习与大数据分析

1. 国家自然科学基金面上项目（No.61976086）：自动驾驶系统的CPS计算架构与视觉感知方法研究，2020,1 ~ 2023,12 主持

2. 国家重点研发计划“智能机器人”专项（No.2018YFB1308604）：精细化柔性灵巧机器人作业技术（课题），2019,6 ~ 2022,5 主持

3. 湖南省创新建设专项（No.2019GK5061）：基于工业互联网的离散制造行业智能化关键技术，2019,1 ~ 2021,12   主持

4. 国家自然科学基金面上项目（No.61672215）：面向大数据分析系统的任务调度优化方法研究，2017,1 ~ 2020,12 主持

5. 湖南省科技创新重点项目（No.2017XK2102）：智能制造机器人创新平台，2017,1 ~ 2019,12   项目参与，子课题负责

6. 国家自然科学基金重大研究计划（No.9132013）：基于蛙眼视觉模型的运动目标检测、跟踪及交通场景分析方法研究，2014,1 ~ 2015,12 主持

7. 国家自然科学基金面上项目（No.61173107）：面向动态多目标优化的量子Memetic计算策略与算法研究，2012,1 ~ 2015,12 主持

8. 广东省产学研重大专项（No.2012-391）：基于北斗/GPS智能车载信息终端关键技术研究与产业化，2012,1 ~ 2014,12 主持

9. 湖南省自然科学基金项目（No.10JJ5068）：无人驾驶车辆协同感知机制及关键技术研究，2010,1 ~ 2012,12 主持   

10. 留学归国人员基金（No.2009-1001）：量子进化多目标优化算法及在多机器人联盟优化中的应用，2009,9 ~ 2011,9 主持

11. 企业合作项目：智能驾驶视觉感知及拓展技术，2018,1 ~ 2019,12 主持

12. 企业合作项目：ADAS技术与系统，2016,6 ~ 2017,12 主持

2022年：

1. Jin Yuan, Shuai Zhu, Shuyin Huang, Hanwang Zhang, Yaoqiang Xiao, Zhiyong Li*, and Meng Wang, Discriminative Style Learning for Cross-domain Image Captioning, IEEE Transactions on Image Processing, 2022, PP:1-14.

2. Ke Nai, Zhiyong Li, and Haidong Wang. Learning Channel-Aware Correlation Filters for Robust Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 32.11 (2022): 7843-7857.

3. Ke Nai, Zhiyong Li, and Haidong Wang. Dynamic feature fusion with spatial-temporal context for robust object tracking[J]. Pattern Recognition, 2022, 130: 108775.

4.Haidong Wang, Zhiyong Li , Yaping Li, et al. STURE: Spatial–Temporal Mutual Representation Learning forrobust data association in online multi-object tracking[J]. Computer Vision and Image Understanding, 2022, 220: 103433.

5. Haidong Wang, Zhiyong Li, Ke Nai, et al. BTN: Neuroanatomical aligning between visual object tracking in deep neural network and smooth pursuit in brain. Neurocomputing 486 (2022): 16-26.

6. AlshutbiM, Zhiyong Li, Alrifaey M, et al. A hybrid classifier based on support vector machineand Jaya algorithm for breast cancer classification[J]. Neural Computing and Applications, 2022: 1-13.

7. Haidong Wang, Xuan He, Zhiyong Li*, et al. JDAN: Joint Detection and Association Network for Real-TimeOnline Multi-Object Tracking[J]. ACM Transactions on Multimedia Computing,Communications, and Applications (TOMM), 2022.

8. Junjie Li, Jin Yuan , Zhiyong Li*. TP-FER: An Effective Three-phase Noise-tolerant Recognizer forFacial Expression Recognition[J]. ACM Transactions on Multimedia Computing,Communications and Applications (TOMM), 2022.

9. Yifan Chen, Zejun Li, and Zhiyong Li*. "Prediction of Plant Resistance Proteins Based on Pairwise Energy Content and Stacking Framework." Frontiers in Plant Science 13 (2022).

11. Haolong Fu, Qingpeng Li, Puhong Duan, Jiacheng Lin, Renwei Dian, Shutao Li, Xudong Kang, Zhiyong Li*. "Dual-Attention-Driven Multiscale Fusion Object Searching Network for Remote Sensing Imagery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 8131-8141.

12. QiangDiao,Wenrui Chen*, Yaonan Wang, Cuo Yan, and Zhiyong Li. Contact InformationPrediction Based on Multi-Force Training for Tactile Sensor Array withElastomer Cover [C],International Conference on Intelligent Robotics andApplications (ICIRA), Harbin, China, 2022: 652-660.

13. Wenrui Chen, Qiang Diao, YaonanWang, Cuo Yan, and Zhiyong Li. Negative Stiffness Analysis and Regulation ofIn-Hand Manipulation with Underactuated Compliant Hands [C],IEEEInternational Conference on Robotics and Automation (ICRA), Philadelphia, United States,2022: 2759-2765.

2021年:

1. Yifan Li, Xiaoyan Peng, Jia Zhang, Zhiyong Li*, and Ming Wen. DCT-GAN: DilatedConvolutional Transformer-based GAN for Time Series Anomaly Detection. IEEETransactions on Knowledge and Data Engineering (2021).

2. Ke Nai, Zhiyong Li*, Yihui Gan, and Qi Wang. Robust Visual Tracking via Multitask Sparse CorrelationFilters Learning. IEEE Transactions on Neural Networks and Learning Systems.99(2021):1-14

3. Wenrui Chen, Yaonan Wang, ZhilanXiao, Zilong Zhao, Cuo Yan, and Zhiyong Li. Design and Experiments of a Three-Fingered Dexterous Hand Based on Biomechanical Characteristicsof Human Hand Synergies. IEEE/ASME Transactions on Mechatronics (2021).

4. Zhiyong Li*, Jingyi Lv, Ying Chen, and Jin Yuan. Person re-identification with partprediction alignment. Computer Vision and Image Understanding 205 (2021):103172.

5. Wang, Qi, ZhiyongLi*, Ke Nai, Yifan Chen, and Ming Wen. Dynamic resource allocation forjointing vehicle-edge deep neural network inference. Journal of SystemsArchitecture 117 (2021): 102-133.

6. Alghaili, Mohammed, ZhiyongLi*, and Hamdi AR Ali. Deep feature learning for gender classificationwith covered/camouflaged faces. IET Image Processing 14.15 (2020):3957-3964.

7. Zhiyong Li*,Chenming Hu, Ke Nai, and Jin Yuan. Siamese target estimation network with AIoUloss for real-time visual tracking. Journal of Visual Communication and ImageRepresentation 77 (2021): 103107.

8.  Zhihao Ye, RuiWen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li*, KeNai, Yefeng Zheng. Improving Short Text Classification UsingContext-Sensitive Representations and Content-Aware Extended TopicKnowledge. Pacific-Asia Conference on Knowledge Discovery and DataMining (2021).

9.Ye Z, WenR, Chen X, et al. Improving Short Text Classification Using Context-SensitiveRepresentations and Content-Aware Extended Topic Knowledge[C]//Pacific-AsiaConference on Knowledge Discovery and Data Mining. Springer, Cham, 2021: 93-105

10. 李智勇，王琦，陈一凡，谢国琪，李仁发.车辆边缘计算环境下任务卸载研究综述. 计算机学报. Vol.44(5): 963-982. May, 2021.

2020年:

1. Zhiyong Li*, Ke Nai, Guiji Li, Shilong Jiang. Learning a Dynamic Feature Fusion Tracker for Object Tracking. IEEE Transactions on Intelligent Transportation Systems.  99(2020):1-13.

2. Yifan Chen, Zhiyong Li*, Bo Yang, Ke Nai, Keqin Li. A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing. Future Generation Computer Systems, 108 (2020) 273–287.

3. Guiji Li , Manman Peng, Ke Nai, Zhiyong Li*, Keqin Li. Reliable correlation tracking via dual-memory selection model. Information Sciences, 518 (2020) 238–255.

4. Jin Yuan, Heng-Chang Xiong, Yi Xiao, Weili Guan, Meng Wang, Richang Hong, Zhi-Yong Li. Gated CNN: Integrating multi-scale feature layers for object detection. Pattern Recognition, 105 (2020) 107131.

5. Lv J, Li Z*, Nai K, et al. Person re-identification with expanded neighborhoods distance re-ranking[J]. Image and Vision Computing, 2020, 95: 103875.

6. Jia Zhang, Zhiyong Li*, Shaomiao Chen. Diversity Aware-Based Sequential Ensemble Learning for Robust Anomaly Detection. IEEE Access, 8 (2020): 42349-42363.

7. Zhiyong Li*, Chen Du, Shaomiao Chen. HIQCO: A Hierarchical Optimization Method for Computation Offloading and Resource Optimization in Multi-Cell Mobile-Edge Computing Systems. IEEE Access, 8 (2020): 45951-45963.

8. Jingyi Lv, Zhiyong Li*, Ke Nai, Ying Chen, Jin Yuan. Person re-identification with expanded neighborhoods distance reranking. Image and Vision Computing, 95 (2020) 103875.

9. Haidong Wang, Saizhou Wang, Jingyi Lv, Chenming Hu,  Zhiyong Li*. Non-local attention association scheme for online multi-object tracking.Image and Vision Computing,  Vol. 102, Oct. 2020, 103983.

10. YiqiangWu, Zhiyong Li*, Ying Chen, Ke Nai1, Jin Yuan. Real-time traffic sign detection and classification towards real traffic scene. Multimedia Tools and Applications,  Vol. 79, pp18201–18219(2020).

11. Zhihao Ye, Gongyao Jiang, Ye Liu, Zhiyong Li* and Jin Yuan. Document  and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification. ECAI 2020.

12. Zhihao Ye and Zhiyong Li*. A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis. ECAI 2020.

13. Alghaili M, Li Z*, Ali H A R. Facefilter: face identification with deep learning and filter algorithm[J]. Scientific Programming, 2020, 2020.

2019年:

1. Zhang J, Li Z*, Nai K, et al. DELR: A double-level ensemble learning method for unsupervised anomaly detection[J]. Knowledge-Based Systems, 2019, 181: 104783.

2. Jia Zhang, Zhiyong Li*, Ke Nai, Yu Gu, Ahmed Sallam. DELR: A double-level ensemble learning method for unsupervised anomaly detection. Knowledge-Based Systems, 181 (2019) 104783,2019.

3. Ke Nai, Degui Xiao, Zhiyong Li*, Shilong Jiang, Yu Gu. Multi-pattern correlation tracking. Knowledge-Based Systems, 181 (2019) 104789,2019.

4. Ying Chen, Jin Yuan, Zhiyong Li*, Yiqiang Wu, Mourad Nouioua, Guoqi Xie. Person re-identification based on re-ranking with expanded k-reciprocal nearest neighbors. J. Vis. Commun. Image R. 58 (2019) 486–494.

5. Manman Peng, Guiji Li, Ke Nai, Zhiyong Li*, Keqin Li. Multi-view correlation tracking with adaptive memory-improved update model. Neural Computing and Applications, 08 August 2019.

6. Zhiyong Li*, Ke Lin, Mourad Nouioua, Shilong Jiang, Yu Gu. DCDG-EA: Dynamic convergence–diversity guided evolutionary algorithm for many-objective optimization. Expert Systems With Applications, vol.118(2019): 35–51.

7. Zhiyong Li*, Shaomiao Chen, Shiwen Zhang, Shilong Jiang, Yu Gu,Mourad Nouioua. FSB-EA: Fuzzy search bias guided constraint handling technique for evolutionary algorithm. Expert Systems With Applications, vol.119(2019): 20–35.

8. Zhiyong Li*, Yang Li, Tingkun Yuan, Shaomiao Chen, Shilong Jiang. Chemical reaction optimization for virtual machine placement in cloud computing. Applied Intelligence, vol.(2019)49:220–232. https://doi.org/10.1007/s10489-018-1264-5

9. Abdoullahi Diasse and Zhiyong Li*. Multi-view deep unsupervised transfer leaning via joint auto-encoder coupled with dictionary learning. Intelligent Data Analysis, vol.23(2019): 555–571.

10.  Zhiyong Li*, Ximing Xiang, Ke Nai,Shilong Jiang. A SPATIAL-AWARE TRACKER. ICIP-2019.

11. Chen Du, Yifan Chen, Zhiyong Li*, Guenter Rudolph. Joint Optimization of Offloading and Communication Resources in Mobile Edge Computing. SSCI-2019.

12. Ziqing Cheng, Qi Wang, Zhiyong Li*, Guenter Rudolph. Computation Offloading and Resource Allocation for Mobile Edge Computing. SSCI-2019.

13. Xiao X, Li Z*. Chemical Reaction Multi-Objective Optimization for Cloud Task DAG Scheduling[J]. IEEE Access, 2019, 7: 102598-102605.

14. Xiao X, Li Z*. Chemical Reaction Multi-Objective Optimization for Cloud Task DAG Scheduling[J]. IEEE Access, 2019, 7: 102598-102605.

2018年:

1. Ke Nai, Zhiyong Li*, Guiji Li, Shanquan Wang. Robust Object Tracking via Local Sparse Appearance Model. IEEE Transactions on Image Processing, 2018,Oct., 27(10):4958-4970. https://doi.org/10.1109/TIP.2018.2848465

2. Zhetao Li, Jie Zhang, Kaihua Zhang, Zhiyong Li. Visual Tracking with Weighted Adaptive Local Sparse Appearance Model via Spatio-Temporal Context Learning. IEEE Transactions on Image Processing.  2018-Sep. 27(9):4478-4489. https://doi.org/10.1109/TIP.2018.2839916

3. Bo Yang, Zhiyong Li*, Shilong Jiang, Keqin Li. Envy-free auctionmechanism for VM pricing andallocation inclouds. Future Generation Computer Systems 86 (2018) 680–693. https://doi.org/10.1016/j.future.2018.04.055

4. Zhiyong Li*, Ke Lin, Mourad Nouioua, Shilong Jiang. A Decomposition Based Evolutionary Algorithm with Angle Penalty Selection Strategy for Many-Objective Optimization. ICSI 2018,LNCS 10941, pp.1–11,2018. https://doi.org/10.1007/978-3-319-93815-8_53

5. Mourad Nouioua, Zhiyong Li*, and Shilong Jiang. New Binary Artificial Bee Colony for the 0-1 Knapsack Problem. ICSI 2018,LNCS 10941, pp.1–13, 2018.https://doi.org/10.1007/978-3-319-93815-8_16

6. Zhiyong Li*, Jingke She, Juan Luo, Huan Zhao, Jiawei Luo, Renfa Li. The “Chain Mode and Reverse Improving”Teaching Mechanism for the “Internet of Things” Major in Hunan University. ICCSE 2018.

7. Abdoullahi Diasse and Zhiyong Li*. Big Cities transfer learning: An unsupervised multi-view cross-domain classification with misses. ICMLC 2018, pp.312--321.https://doi.acm.org/10.1145/3195106.3195121

2017年:

1. Zhiyong Li, Song Gao, Ke Nai. Robust object tracking based on adaptivetemplates matching via the fusion of multiple features. Journal of Visual Communication & Image Representation. 44(2017): 1-20.

2. Mourad Nouioua and Zhiyong Li. Using Differential Evolution Strategiesin Chemical Reaction Optimization for Global Optimization. Applied Intelligence. 2017(1):1-27.

3. Bo Yang,Zhiyong Li,Shilong Jiang. Cooperative game approach forenergy-aware load balancing in clouds. ISPA2017.

4. Ransikarn Ngambusabongsopa, Zhiyong Li. Bat-Mutation Chemical ReactionOptimization Algorithm for Conflict Optimization Problem: Case of Bandwidth Utilization. Journal of Computational and Theoretical Nanoscience,14.10(2017):5118-5127.

5. 李智勇,黄滔,陈少淼,李仁发. 约束优化进化算法综述. 软件学报. 2017,28(6):1529-1546.

2016年:

1. Bo Yang, Zhiyong Li, Shaomiao Chen, Tao Wang, Keqin Li. Stackelberg game approach for energy-aware resource allocation in data center. IEEE Transactions on Parallel and Distributed Computing. 2016,Vol.27(12): 3646-3658.

2. Hamdi Ahmed Rajeh, Zhiyong Li, Abdullah Mohammed Ayedh. A Novel Approach by Injecting CCG Supertags into an Arabic–English Factored Translation Machine. Arabian Journal for Science and Engineering. 2016, Vol.41(8):3071-3080.

3. Zhiyong Li, Dongming Wang, Ke Nai,Tong Shen and Ying Zeng. Robust Object Tracking via Weight-based Local Sparse Appearance Model. ICNC-FSKD 2016.

4. Zhiyong Li, Song Gao, Ke Nai and Ying Zeng. Robust Object Tracking Based on TimedMotion History Image With Multi-feature Adaptive Fusion. ICNC-FSKD 2016.

5. Yuandan Li, Shiwen Zhang, Zhiyong Li. A Multi-objective Evolutionary Algorithm Based on Mixed Game Strategy. ICNC-FSKD 2016.

6. 李智勇, 陈少淼, 杨波, 李仁发. 异构云环境多目标Memetic优化任务调度方法. 计算机学报, 2016,39(2): 377-390.

7. 周润物, 李智勇, 陈少淼, 陈京, 李仁发. 面向大数据处理的并行优化抽样聚类K-means算法. 计算机应用, 2016, 36(2): 311-315,329.

2015年：

1. Shaomiao Chen, Zhiyong Li, Bo Yang, Günter Rudolph. Quantum-inspired Hyper-heuristics for Energy-aware Scheduling on Heterogeneous Computing Systems. IEEE Transactions on Parallel and Distributed Systems. 2016, Vol.27(6): 3646-3658.

2. Zhiyong Li, Tien Trong Nguyen. A Hybrid Algorithm Based On Particle Swarm and Chemical Reaction Optimization for Multi-object Problems. Applied Soft Computing.2015,35(C): 525-540.

3. Zhiyong Li, Weiyou Wang, Yanyan Yan, ZhengLi. PS–ABC:A hybrid algorithm based on particle swarm and artificial bee colony forhigh-dimensional optimization problems. Expert Systems with Applications. 2015,42(22): 8881-8895.

4. Zhiyong Li, Zheng Li,  Tien Trong Nguyen, Shaomiao Chen. Orthogonal chemical reaction optimization algorithm for global numerical optimization problems. Expert Systems with  Applications. 42(2015):3242-3252.

5. Zhiyong Li, Shuang He, Mervat Hashem. Robust object tracking via multi-feature adaptive fusion based on stability: contrastanalysis. The Visual Computer, 2015,31(10):1319-1337.

6. Saad Hameed Abid, Zhiyong Li, Renfa Li, Jumana Waleed. Anaglyph Video Smell Presentation Using Micro-Porous Piezoelectric Film Olfactory Display. Displays, 2015, 39:55-67.

7. Ransikarn Ngambusabongsopa,Zhiyong Li, Esraa Eldesouky. A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization. Mathematical Problems in Engineering. 2015, 2015(5):1-17.

8. 李智勇, 何霜, 刘俊敏, 李仁发. 基于蛙眼R3细胞感受野模型的运动滤波方法. 自动化学报. 41(5): 981-990.

9. 张世文, 李智勇, 林亚平. 基于生态种群捕获竞争模型的多目标Memetic优化算法. 电子学报. 2015(8):1488-1498.

10. 李智勇, 余小萍, 姜真, 李仁发.基于蛙眼检测模型的目标双阈值判定跟踪方. 电子测量与仪器学报. 29(2), pp:187-195.

2014年：

1. Tien Trong Nguyen, Zhiyong Li, Shiwen Zhang, Tung Khac Truong. A hybrid algorithm based onp article swarm and chemical reaction optimization. Expert Systems with Applications. Vol 41(5),April 2014, P.2134-2143 (SCI) .

2. Zhiyong Li,Xiaoping Yu, Pengfei Li. Moving object tracking based on multi-independent features distribution fields with comprehensive spatial feature similarity. The Visual Computer, 2014, 31(12):1-19.

3. Ahmed Sallam, KenliLi, Aijia Ouyang, Zhiyong Li. Proactive workload management in dynamic virtualized environments. Journal of Computer and System Sciences. 80(2014) 1504–1517.

4. 张世文, 李智勇, 陈少淼, 李仁发.基于生态策略的动态多目标优化算法. 计算机研究与发展. Vol.51(6),2014.

5. Zhiyong Li,Hengyong Chen,Zhaoxin Xie, Chao Chen and Ahmed Sallam. Dynamic Multi-objective Optimization Algorithm Based on Average Distance Linear Prediction Model. The Scientific World Journal. Feb.2014.

6. Zhiyong Li,Pengfei Li, Xiaoping Yu and Mervat Hashem. Real-Time Tracking by Double Templates Matching Based On Timed Motion History Image with HSV Feature. The Scientific World Journal. Feb. 2014.

7. 任长安, 李智勇, 罗庆云, 陈利平. 融合目标空间分割的网格任务调度算法. 控制工程. May 2014, Vol.21(3), pp: 441-445

1. Jiyao An, Zhiyong Li and Xiaomei Wang. A novel approach todelay-fractional-dependent stability criterion for linear systems with intervaldelay. ISA transactions. 53(2013) P.210-219.

2. Noor. Hussein, Mervat Hashem, Zhiyong Li. Security Migration Requirements: FromLegacy System to Cloud and From Cloud to Cloud. The 2013 2nd International Symposium on Computer, Communication, Control and Automation(3CA), 2013,December.

3. Zhiyong Li, Junmin Liu, Zhen Jiang, Shuang He. A Novel Active Contour Model for Object Tracking Based on Frog Visual Characteristics. International Journal of Advancements in Computing Technology, Vol.5(8), April 2013.

4. Zhiyong Li, Zhen Jiang, Ahmed Sallam, Junmin Liu. A Novel Method for Moving Objects Detection Inspired by Frog's Visual Characteristics. International Journalof Control and Automation. April 2013.

5. Zhiyong Li, Junmin Liu, Weicheng Tao. A Novel Relational Database Watermarking Algorithm Based on Clustering and Polar Angle Expansion. International Journal of Security and Its Applications. March 2013.

6. Zhiyong Li, Zhen Jiang, Junmin Liu. A New Method of Motion Detection with Biological Intelligence. International Journal of Signal Processing, Image Przcessing and Pattern Recognition, 2012,5(2).

7. Zhiyong Li, Sedeka M.Shamy. A Novell Security Framework for Web Application and Database. International Journal of Digital Content Technology and its Applications. 2011,5(10).

8. Zhiyong Li, Esraa Mohammed. Cluster Formation basedon Improved Many Optimizing Liaisons Optimization Algorithm in Wireless Sensor Networks. International Journal of Advancements in Computing Technology, 2011,3(5).

9. Zhiyong Li, Ransikarn Ngambusabongsopa. A Novel Diversity Guided Particle Swarm Multi-objective Optimization Algorithm.International Journal of DigitalContent Technology and its Application. 2011,5(1).

10. AhmedSallam, Zhiyong Li. Web Services Supervision System Based on JADE. International Journal of Digital Content Technology and its Applications. 2010,4(7).

11. Zhiyong Li, Dong Chen. Novel Multi-objective Genetic Algorithm Based on Static Bayesian Game Strategy. Lecture Notes in Computer Science (ICSI2010)2010,6145(1) (EI/ISTP ).

12. Zhiyong Li, Chao Chen. Novel Objective-Space-Dividing Multi-objectives Evolutionary Algorithm and Its Convergence Property. BIC-TA(2010) (EI/ISTP).

13. Zhiyong Li, Houfu Li. A Hybrid Strategy Based onNiche Genetic Algorithm and Tabu Search and Its Convergence Property. BIC-TA(2010) (EI/ISTP ).

14. 李智勇, 陈友文. 一种融入小生境技术的遗传禁忌算法.湖南大学学报(自然科学版). 2010,37(4).

15. Zhiyong Li, Günter Rudolph. Convergence Performance Comparison of Quantum-inspired Multi-Objective Evolutionary Algorithms. Computers and Mathematics Application. 2009.1.

16. Zhiyong Li, Yong Wang. The Cloud-based Framework for Ant Colony Optimization. World Summit on Genetic and evolutionary Computation (GEC 09).

17. Zhiyong Li, Songbin Liu. Multi-Objective Particle Swarm Optimization Algorithm Based on Game Strategies. World Summit on Genetic and evolutionary Computation(GEC 09).

18. Zhiyong Li, Bo Xu. Quantum Evolutionary Algorithm on Multi-Robot Coalition Formation. World Summit on Genetic and evolutionary Computation(GEC 09).

19. Zhiyong Li, Wei Zhou. Quantum Multi-Objective Evolutionary Algorithm with Particle Swarm Optimization Method. Proceeding of 4th International conferenceon national computation. 2008,9.

20. Zhiyong Li, Günter Rudolph. On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms. Communication in Computer andInformationScience. Vol.2, 245-255.

21. Zhiyong Li, Xilu Zhu. Simulated Annealing Parallel Genetic Algorithm Based onBuilding Blocks Migration. LNCS. Vol. 4490,1183-1185.

22. Zhiyong Li, Günter Rudolph. Quantum-inspired Multi-Objective Evolutionary Algorithms with Hε-Gate and Nε-Gate. Second International Conference on Bio-inspired Computing: Theories and Applications Pre-Proceeding. September,2007. Zhengzhou,China .

23. Zhiyong Li, Günter Rudolph. A Framework of Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Condition. Proceedings of the Genetic and Evolutionary Computation Conference(GECCO2007). July, 2007. London, UK.

23. ZhiyongLi, Günter Rudolph. A Frameworkof Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Condition. Proceedings of the Genetic and Evolutionary Computation Conference(GECCO-2007). July, 2007.London, UK.

24. 王雷, 林亚平, 李智勇. 一类特殊整数规划问题的DNA计算. 计算机研究与发展. 2005,42(8).

25. 李智勇, 童调生. 神经网络并行进化设计及其在短期电力负荷预测中的应. 仪器仪表学报. 2005,26(1).

26. 李智勇, 童调生. 基于多种群进化小生境遗传算法的神经网络进化设计方法研究.控制与决策. 2003,18(5).

27. 李智勇, 童调生. 基于多物种进化遗传算法的神经网络进化设计方法.系统仿真学报. 2003,15(6) .

1）2022年04月，获得湖南省教学成果一等奖（排名第七）；

2）2021年07月，获得湖南省科技进步二等奖（排名第一）；

3）2019年10月，获得湖南省教学成果一等奖（排名第四）；

4）2019年01月，获得湖南省技术发明二等奖（排名第五）；

5）2018年12月，公选课“从自然世界到智能时代”被评为国家精品在线开放课程；

6）2016年02月，公选课“从自然世界到智能时代”被评为国家精品视频公开课；

7）2009年06月，获得国家自然科学基金委主办中国“智能车未来挑战”比赛冠军.