------------------------2024------------------------

1. Zhou, Z., Liu, G., Guo, W.R. & Zhou M. (2024) , Adversarial Attacks on Multiagent Deep Reinforcement Learning Models in Continuous Action Space, IEEE Transactons on Systems, Man and Cybernetics: Systems, vol. 54, no. 12, pp. 7633-7646, Dec. 2024
   

2. Zhou, Z., Liu, G., & Tang, Y. (2024). Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges. IEEE Transactions on Intelligent Vehicles.
   

3. Guo, W., Liu, G., Zhou, Z., Wang, L., & Wang, J. (2024). Enhancing the Robustness of QMIX against State-adversarial Attacks. Neurocomputing, 572, 127191

4. Tian, Y., Liu, G., (2024) Spatial-Temporal-Aware Graph Transformer for Transaction Fraud Detection, IEEE Transactions on Industrial Informatics,vol. 20, no. 11, pp. 12659-12668, Nov. 2024
   

5. Zhong, H., Wang, L., Su, Z., Liu, G., & Ma, W. (2024). Characteristics identification and evolution patterns analyses of road chain conflicts. Accident Analysis & Prevention, 195, 107395.

6. Tian, Y., Liu, G., Wang, J., & Zhou, M. (2024). ASA-GNN: Adaptive Sampling and Aggregation-Based Graph Neural Network for Transaction Fraud Detection. IEEE Transactions on Computational Social Systems,vol. 11, no. 3, pp. 3536-3549, June 2024

7. Xie, Y., Liu, G., Zhou, M., Wei, L., Zhu, H., Zhou, R., & Cao, L. (2024). A Spatial–Temporal Gated Network for Credit Card Fraud Detection by Learning Transactional Representations. IEEE Transactions on Automation Science and Engineering,vol. 21, no. 4, pp. 6978-6991, Oct. 2024,

8. Bi, Z., Guo, X., Wang, J., Qin, S., & Liu, G. (2024). Truck-Drone Delivery Optimization Based on Multi-Agent Reinforcement Learning. Drones, 8(1), 27.

9. M Yang, G Liu, Z Zhou, J Wang, Probabilistic automatabased method for enhancing performance of deep reinforcement learning systems, IEEE/CAA J. Autom. Sinica, vol. 11, no. 11, pp. 2327–2339, Nov. 2024.
   

10. 杨敏，刘关俊，周子渊, 基于安全强化学习的月球着陆器控制. 航空学报, doi: 10.7527/S1000-6893.2024.30553， 2024

11. 张凯文，刘关俊，孙彦韬, 李晓锋, 关健, 解毅, 顾斌. 基于优先级时间Petri网的实时嵌入式多核系统分析. 软件学报, 2024, 35(9): 4123–4140.

12. Hanqian Tu,Dongming Xiang,Zuohua Ding,Guanjun Liu, Detecting Information Leakage against Chinese Wall Policy Based on the Unfolding Technique of Coloured Petri Nets, IEEE Transactions on Computational Social Systems, 2024 (accepted)

13. Y. Xie, Y. Hong, S. Qiao, J. Yao, G. Liu and S. Pang, A Time-Aware Generative Network for Enhancing Transaction Security in Consumer Electronics, in IEEE Transactions on Consumer Electronics, 2024, doi: 10.1109/TCE.2024.3511260.

14. Dongming Xiang, Shuai Lin, Ke Huang, Zuohua Ding, Guanjun Liu, Xiaofeng Li, A fine-grained approach for Android taint analysis based on labeled taint value graphs, Computers & Security, Volume 148, 2025
    
    

    ------------------------2023------------------------

15. Zhou, Ziyuan; Liu, Guanjun; Zhou, MengChu, A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on Agent States, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 14370-14381, Oct. 2024

16. Chen, ST, Liu, GJ, Zhou, ZY, Zhang, KW, Wang, JC, Robust Multi-agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-world Dual-UAV Cooperation, IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 1615-1627, Jan. 2024

17. HR Shi, GJ Liu, KW Zhang, ZY Zhou, JC Wang, MARL Sim2real Transfer: Merging Physical Reality with Digital Virtuality in Metaverse, IEEE Transactons on Systems, Man and Cybernetics: Systems, 53(4): 2107-2117, 2023
    

18. J Gu, J Wang, X Guo, GJ Liu, S Qin, and Z Bi, A Metaverse-Based Teaching Building Evacuation Training System with Deep Reinforcement Learning, IEEE Transactons on Systems, Man and Cybernetics: Systems, 53(4): 2209-2219, 2023 (accepted)

19. J Xue, ZN Liu, GJ Liu, ZY Zhou, KW Zhang, Y Tang, JC Wang, Robust wind-resistant hovering control of quadrotor UAVs using deep reinforcement learning, IEEE Transactions on Intelligent Vehicles, 2023, DOI: 10.1109/TIV.2023.3324687.

20. J. Lin, C. Yu, L. Wang, G. Liu, J. Wang, W. Ma, Optimization of Lane-changing Advisory in Mixed Traffic of Connected Vehicles and Human-driven Vehicles at Expressway Bottlenecks,  IEEE Transactions on Intelligent Vehicles, DOI: 10.1109/TIV.2023.3326565

21. Yang, M., Liu, G., Zhou, Z., & Wang, J. (2023). Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph Attention Network for UAV Swarms. Drones, 7(7), 476.

22. Bi, Z., Guo, X., Wang, J., Qin, S., & Liu, G. (2023). Deep Reinforcement Learning for Truck-Drone Delivery Problem. Drones, 7(7), 445.

23. Fan, S., Liu, G.J., and Li, J. (2023). A Heterogeneous Graph Neural Network With Attribute Enhancement and Structure-Aware Attention. IEEE Transactions on Computational Social Systems, vol. 11, no. 1, pp. 829-838, Feb. 2024

24. Fan, S., Liu, G.J., and Li, J. ASIAM-HGNN: Automatic Selection and Interpretable Aggregation of Meta-path Instances for Heterogeneous Graph Neural Network, Computing and Informaics, 2023 (accepted)

25. Zhang, Q., Liu, G., Jiang, C. (2023). The Adaptation of Concept Drift: A Fit Prediction Algorithm Based on Local Optimum. IEEE Transactions on Computational Social Systems, vol. 11, no. 4, pp. 4944-4954, Aug. 2024
    

26. HH Zhu, MC Zhou, GJ Liu, Y Xie, S Liu, C Guo, NUS: Noisy-sample-removed Under-sampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection, IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 1793-1804, April 2024

27. Ruihao Cao, Junli Wang, Mingze Mao, Guanjun Liu, Changjun Jiang, Feature-wise attention based boosting ensemble method for fraud detection, Engineering Applications of Artificial Intelligence, vol. 126, 2023, article no. 106975.

28. Weng, Q. L., Liu, G. J., Zhou, P., Shi, H. R.,  Zhang, K. W. Co-TS: Design and Implementation of a 2-UAV Cooperative Transportation System. International Journal of Micro Air Vehicles, vol. 15, 2023 (doi:10.1177/17568293231158443)

29. F. Zhao, D. Xiang, G. Liu et al., Behavioral consistency measurement between extended WFD-nets, Information Systems (2023),.
    

30. Zhao F, Xiang DM, Liu GJ, The Trace Consistency Measurement of WFD-net systems, Frontiers in Computer Science, 2023

    ------------------------2022------------------------

31. LF He, GJ Liu, MC Zhou, Petri-net based model checking for privacy-cirtical multi-agent systems, IEEE Transactions on Computational Social Systems, 2022 (accepted)

32. LF He, GJ Liu, Prioritized time-point-interval Petri nets modeling multi-processor real-time systems and TCTLx, IEEE Transactions on Industrial Informatics, 2022 (accepted)
    

33. ZD Zhang, J Liu, GJ Liu, JC Wang, YH Zhang, Robustness verification of Swish neural networks embedded in autonomous driving systems, IEEE Transactions on Computational Social Systems, 2022 (accepted)

34. DM Xiang, S Lin, XH Wang, GJ Liu, Checking missing-data errors in cyber-physical systems based on the merged process of Petri nets, IEEE Transactions on Industrial Informatics, 2022 (accepted)

35. Y Xie, GJ Liu, CG Yan, CJ Jiang, MC Zhou, MZ Li, Learning Transactional Behavioral Representations for Credit Card Fraud Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022 (accepted)

36. P Zhou, GJ Liu, JC Wang, QL Weng, KW Zhang, ZY  Zhou, Lightweight unmanned aerial vehicle video object detection based on spatial‐temporal correlation. International Journal of Communication Systems, 2022 (accepted).

37. YD Wang, WY Yu, P Teng, GJ Liu, DM Xiang, A Detection Method for Abnormal Transactions in E-Commerce Based on Extended Data Flow Conformance Checking, Wireless Communications and Mobile Computing, vol. 2022, Article ID 4434714, 14 pages, 2022

38. 何雷锋，刘关俊，模拟实时系统的点区间优先级时间Petri网与TCTL验证，软件学报，33(8): 2947-2963, 2022

39. 翟治年, 卢亚辉, 刘关俊, 雷景生, 向坚, 吴茗蔚，资源独立工作流可满足性的最小增量模式回溯，软件学报，2022，录用

40. 翟治年, 刘关俊，卢亚辉，向坚，吴茗蔚，丰明坤．工作流可满足性的约简增量模式回溯法．计算机集成制造系统. 2022, 录用

    https://kns.cnki.net/kcms/detail/11.5946.TP.20220611.1748.006.html

41. F Zhao, DM Xiang, GJ Liu and CJ Jiang, A New Method for Measuring the Behavioral Consistency Degree of WF-Net Systems, IEEE Transactions on Computational Social Systems, 9(2): 480-493, 2022

42. MJ Guang, CG Yan, GJ Liu, J Wang, CJ Jiang, A Novel Sampling Method Based on Neighborhood Weighted for Imbalanced Datasets, Chinese Journal of Electronics , 2022, 31(5), 1-11. doi: 10.1049/cje.2021.00.121

43. Y Xie, GJ Liu, MC Zhou, CJ Jiang, Time-aware attention-based gated network for credit card fraud detection by extracting transactonal behaviors, IEEE Transactions on Computational Social Systems, 2022 (accepted)

44. Song, J., Xiang, D., Liu, G.,  He, L. (2022). Guard-Function-Constraint-Based Refinement Method to Generate Dynamic Behaviors of Workflow Net with Table. Computing and Informatics, 41(4), 1025-1053.

45. WB Wu, GJ Liu, KY Liang, H Zhou, Inner cascaded U^2-Net: An improvement to plain cascaded U-Net, Computer Modeling in Engineering and Sciences, 2022 (accepted)

     ------------------------2021------------------------

46. DM Xiang, GJ Liu, CG Yan, CJ Jiang, A Guard-driven Analysis Approach of Workflow Net With Data, IEEE Transactions on Services Computing, 14(6): 1675--1686, 2021
    

47. LF He, GJ Liu, Verifying Computation Tree Logic of Knowledge via Knowledge-oriented Petri Nets and Ordered Binary Decision Diagrams, Computing and Informatics, Vol. 40, 2021, 1174–1196.
    

48. ZC Li, M Huang, GJ Liu, CJ Jiang,A hybrid method with  dynamic weighted entropy for handling the problem of class imbalance  with overlap in credit card fraud detection, Expert Systems with Applications 175, 114750:1-10, 2021.

49. RH Cao, GJ Liu, Y Xie, CJ Jiang, Two-Level Attention Model of Representation Learning for Fraud Detection, IEEE Transactions on Computational Social Systems, 2021, 8(6): 1291-1301.

50. CF Yang, GJ Liu, CG Yan, and CJ Jiang, A Clustering-based Flexible Weighting Method in AdaBoost and its Application to Transaction Fraud Detection, SCIENCE CHINA – Information Science 64(12): 1--11, 2021

51. Y Liang, MZ Li, CJ Jiang, GJ Liu, CEModule: A Computation Efficient Module for Lightweight Convolutional Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 2021(accepted)

    ------------------------2020------------------------

52. LT Zheng, GJ Liu, CG Yan, CJ Jiang, MC Zhou, and MZ Li, Improved TrAdaBoost and its Application to Transaction Fraud Detection, IEEE Transactions on Computational Social Systems, vol. 7, no. 5, pp. 1304--1316, 2020.
    

53. YX Qin, CG Yan, GJ Liu, ZC Li, and CJ Jiang, Pairwise Gaussian Loss for Convolutional Neural Networks, IEEE Transactions on Industrial Informatics, 16(10), 6324-6333,2020.

54. ZC Li, GJ Liu, and CJ Jiang, Deep Representation Learning with Full Center Loss for Credit Card Fraud Detection, IEEE Transactions on Computational Social Systems,7(2): 569-579, 2020.

55. XY Tao, GJ Liu, B Yang, CG Yan and CJ Jiang, Workflow nets with tables and their soundness, IEEE Transactions on Industrial Informatics, 16(3): 1503-1515, 2020

56. MM Wang, ZJ Ding, GJ Liu, CJ Jiang, MC Zhou, Measurement and Computation of Profile Similarity of Workflow Nets Based on Behavioral Relation Matrix, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(10): 3628-3645, 2020.

57. DM Xiang, GJ Liu, Checking Data-Flow Errors Based on the Guard-Driven Reachability Graph of WFD-Net, Computing and Informatics, 39(1): 1001-1020, 2020

58. HH Zhu, GJ Liu, MC Zhou, Q Kang, Optimizing Weighted Extreme Learning Machines for Imbalanced Classification and Application to Credit Card Fraud Detection, Neurocomputing 407: 50-62, 2020.

    ------------------------2019------------------------

59. J Li, GJ Liu, CG Yan, CJ Jiang, LORI: A Learning-to-rank Based Integration Method of Location Recommendation, IEEE Transactions on Computational Social Systems, vol. 6, no. 3, pp. 430-440,2019.

60. HH Zhu, GJ Liu, MC Zhou, Y Xie, Q Kang, Dandelion Algorithm With Probability-Based Mutation, IEEE Access, 2019, 7:97974-97985.

    ------------------------2018------------------------

61. GJ Liu，CJ Jiang，MC Zhou，Time-soundness of Time Petri Nets Modeling Time-critical Systems, ACM Transactions on Cyber-Physical Systems. vol. 2, no. 2, article number 11, 27 pages, 2018.

62. LT Zheng, GJ Liu, CG Yan, CJ Jiang, Transaction Fraud Detection based on Total Order Relation and Behavior Diversity, IEEE Transactions on Computational Social Systems, vol. 5, no. 3, pp. 796--806, 2018.

63. WJ Luan, GJ Liu, CJ Jiang, MC Zhou, MPTR: A Maximal-Marginal-Relevance-Based Personalized Trip Recommendation Method, IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 11, pp. 3461--3474, 2018

64. CJ Jiang, JH Song, GJ Liu, LT Zheng, WJ Luan, Credit Card Fraud Detection: A Novel Approach Using Aggregation Strategy and Feedback Mechanism, IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3637--3647, 2018

65. DM Xiang, GJ Liu, CG Yan, CJ Jiang, Detecting Data-Flow Errors Based on Petri Nets with Data Operations, IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 251--260, 2018

66. MM Wang, GJ Liu, CG Yan, CJ Jiang, Behavior Consistency Computation for Workflow nets with unknow correspondence, IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 281--291, 2018

67. YQ He, GJ Liu, CG Yan, CJ Jiang, JC Wang, Locating and controlling Unsound Transitions in Workflow Systems Based on Workflow Net with Data Constraints, IEEE ACCESS, vol. 6, pp. 62622-62637, 2018 (DOI: 10.1109/ACCESS.2018.2876904)

68. YQ He, GJ Liu, DM Xiang, JQ Sun, CG Yan, CJ Jiang, Verifying the correctness of workflow systems based on workflow net with data constraints, IEEE ACCESS, vol. 6, pp. 11412--11423, 2018 (DOI: 10,1109/ACCESS.2018.2806884)

69. H Fang, GJ Liu, XW Fang, Sufficient and necessary conditions to guarantee deadlock-free scheduling for an extended S3PR with correlated resources, Journal of the Chinese Institute of Engineers, 2018, 41(6): 473--482.

70. JZ Li, GJ Liu, An Improved LambdaMART algorithm based on the Matthew Effect, Mathematical Problems in Engineering, vol. 2018, artical no. 3082970, 11 pages (DOI:10.1155/2018/3082970)

71. 李金忠，刘关俊，闫春钢，蒋昌俊，排序学习研究进展与展望，自动化学报，vo. 44, no. 8, pp. 1345-1369, 2018

    ------------------------2017------------------------

72. GJ Liu, MC Zhou, CJ Jiang, Petri net modelling and Collaborativeness for Parallel Processes with Resource Sharing and Message Passing, ACM Trans. Embedded Computing Systems, vol. 16, no. 4, pp. 113:1-113:20, 2017

73. GJ Liu, CJ Jiang, Observable Liveness of Petri Nets with Controllable and Observable Transitions, Science China - Information Sciences, 2017, vol. 60: 118102-1--3

74. DM Xiang, GJ Liu, CG Yan, CJ Jiang, Detecting Data Inconsistency Based on the Unfolding Technique of Petri Nets, IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 2995--3005, 2017

75. JZ Li, GJ Liu, CG Yan, CJ Jiang, Robust Learning to Rank Based on Portfolio Theory and AMOSA algorithm, IEEE Trans. SMC: Syst. 2017, vol.47, no. 6, pp. 1007--1018.

76. WJ Luan, GJ Liu, CJ Jiang, L Qi, Partition-based Collaborative Tensor Factorization for POI Recommendation, IEEE/CAA Journal of Automatica Sinica, 2017, vol. 4, no. 3, pp. 437--446. (doi: 10.1109/JAS.2017.7510538)

77. 李金忠，刘关俊，一种鲁棒性增强的LambdaMART算法，小型微型计算机系统，vol. 38，no. 5，pp. 1044--1048，2017

    ------------------------2016------------------------

78. GJ Liu, W Reisig, CJ Jiang, and MC Zhou, A Branching-process-based method to check soundness of workflow systems, IEEE Access, 2016, vol. 4: 4104-4118

79. GJ Liu, Complexity of the deadlock problem for Petri nets modelling resource allocation systems, Information Sciences, vol. 363, 2016:190-197

80. GJ Liu, CJ Jiang, Behavioral Equivalence of Security-Oriented Interactive Systems, IEICE Trans. Inf. Syst. Vol. E99-D, No. 8, pp. 2061--2068, 2016

81. GJ Liu, LJ Chen, Deciding the liveness for a subclass of weighted Petri nets based on structurally circular wait, Int. J. Syst. Sci., 2016, 47(7):1533-1542

82. SQ Wang, Aorigele, GJ Liu, SC Gao ,A hybrid discrete imperialist competition algorithm for fuzzy job-shop scheduling problems, IEEE Access, 2016, 4: 9320--9331

83. Y Wu, CG Yan, ZJ Ding, GJ Liu, PW Wang, CJ Jiang, MC Zhou, A multilevel index model to expedite web service discovery and composition in large-scale service repositories, IEEE Trans. Services Computing, 2016，9（3）：330-342

84. LX Shen, CJ Jiang, GJ Liu, Satellite objects extraction and classification based on similarity measure, IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 46, no. 8, 2015: 1148--1154

    ------------------------2015------------------------

85. GJ Liu, CJ Jiang, Net-structure-based conditions to decide compatibility and weak compatibility for a class of inter-organizational workflow nets, SCI. CHINA Inf. Sci., 2015, 58(7): 072103:1-16

86. GJ Liu, CJ Jiang, Co-NP-hardness of the soundness problem for asymmetric-choice workflow nets, IEEE Trans. Syst., Man, Cybern.: Syst., 2015, 45(8): 1201-1204

87. GJ Liu, LJ Chen, Sufficient and Necessary Condition for Compatibility of a Class of Interorganizational Workflow Nets, Mathematical Problems in Engineering, 2015, vol. 2015, Article ID 392945, 11 pages

    ------------------------2014------------------------

88. GJ Liu, Some complexity results for the soundness problem of workflow nets, IEEE Trans. Services Computing, 2014, 7 (2): 322-328.

89. GJ Liu, J Sun, Y Liu, and JS Dong, Complexity of the soundness problem of workflow nets, Fundamenta Informaticae, 2014, 131 (1): 81-101

    ------------------------2013------------------------

90. GJ Liu, CJ Jiang, MC Zhou, PC Xiong, Interactive Petri nets, IEEE Trans. Syst., Man, Cybern.: Syst., 2013, 43 (2): 291-302.

91. GJ Liu, CJ Jiang, MC Zhou, A Ohta, The Liveness of WS3PR: Complexity and Decision, IEICE Trans. Fundamentals, 2013, E96-A (8): 1783-1793

92. Y Wu, CG Yan, ZJ Ding, GJ Liu, PW Wang, CJ Jiang, MC Zhou, A novel method for calculating service reputation, IEEE Trans. Automation Science and Engineering, 2013, 10(3): 634-642

    ------------------------2012------------------------

93. GJ Liu, CJ Jiang, MC Zhou, Process nets with channels, IEEE Trans. Syst., Man, Cybern. A, 2012, 42 (1): 213-225

94. D Chao, GJ Liu, A simple suboptimal siphon-based control model of a well-known S3PR, Asian J Control, 2012, 14(1): 163-172

    ------------------------2011------------------------

95. GJ Liu, CJ Jiang, MC Zhou, Improved sufficient condition for the controllability of weakly dependent siphons in system of simple sequential processes with resources, IET Control Theory and Applications, 2011, 5 (9): 1059-1068

96. GJ Liu, CJ Jiang, D Chao, A necessary and sufficient condition for the liveness of normal nets, the Comp. J. (Oxford University Press), 2011, 54 (1): 157-163

    ------------------------2010------------------------

97. GJ Liu, CJ Jiang, MC Zhou, Two simple deadlock prevention policies for S3PR based on key-resource/operation-place pairs, IEEE Trans. Aut. Sci. Eng., 2010, 7 (1): 945-957

    ------------------------2009------------------------

98. GJ Liu, CJ Jiang, On conditions for the liveness of weakly persistent nets, Inform. Process. Lett., 2009, 109 (16): 967-970

99. GJ Liu, CJ Jiang, ZH Wu, LJ Chen, A live subclass of Petri nets and their application in modeling flexible manufacturing systems, Int. J. Adv. Manuf. Tech., 2009, 41 (1-2): 66-74

100. GJ Liu, CJ Jiang, LJ Chen, ZH Wu, Two types of extended RSNBs and their application in modeling flexible manufacturing systems, Int. J. Adv. Manuf. Tech., 2009, 45 (4-5): 573-582

101. GJ Liu, CJ Jiang, Incidence matrix based methods for computing repetitive vectors and siphons of Petri net, J. Inf. Sci. Eng., 2009, 25 (1): 121-136

     ------------------------2007------------------------

102. 刘关俊，蒋昌俊，陈黎静，各类Petri网语言间的关系，系统仿真学报，2007，19（7）：1633-1638

103. 刘关俊，蒋昌俊，基于T-不变量的可重复向量求解，系统仿真学报，2007，19（A001）：1-3, 15.
     

     ------------------------2006------------------------

104. 蒋昌俊，刘关俊，Petri网语言的Pumping引理，计算机学报, 2006, 29(2):274-278