IEEE Fellow，国家级专家（国家千人），中国计算机学会（CCF）杰出会员。北京师范大学(珠海)文理学院人工智能与未来网络研究院院长，交叉智能超算中心主任，博士生导师和北师香港浸会大学讲座教授。在人工智能算法、边缘AI、网络空间实体对象传感、人机物融合知识图谱构建与多模态智能数据处理、下一代无线通信协议、5G物联网以及移动边缘智能计算等计算机科学相关领域取得诸多国际领先的研究成果。在顶级国际杂志和学术会议上发表论文800多篇、谷歌引用量超过21000+次，H指数为78 (2026.10)，入选2020-2026年斯坦福大学发布的全球前2%顶尖 “年度科学影响力"和“终身科学影响力”科学家榜单、ScholarGPS前0.05%顶尖科学家榜单，Research.com年度全球顶尖科学家榜单(CS&EE)（2024-2026）以及中国知网高被引学者TOP 1%（2025）等 。撰写专著3部，参与13部书籍的撰写，授权发明专利40多项。主持多项政府/工业界项目，包括国家基金委及科技部973和863项目和中国澳门、香港特区政府科学基金和应用研究及发展基金项目，研究总经费约6500万元人民币。获中国产学研合作创新人物奖（2025）,上海市科学技术一等奖（2025），粤港澳大湾区人工智能与自动化学会自然科学奖一等奖（2025）、教育部科技一等奖（2017），深圳高科技展会最佳产品奖、粤港澳大湾区人工智能与自动化学会优秀论文一等奖（2025）、广东省计算机学会优秀论文一等奖（2025）、IEEE ISPA 2023最佳论文奖、MSN 2023最佳学生论文奖、MSN 2024最佳论文奖等。担任中国计算机学会珠海代表处主任、 ACM珠海分会联合主席、广东省教育人工智能协会会长、大湾区（澳门）人工智能协会秘书长、人工智能网络系统研究所副理事长。

研究影响力

• 顶级国际期刊和会议上发表～800篇论文，谷歌引用量超过21000+次，H指数为78(2026.10, Google Scholar)。

• 针对边缘AI，提出了用于高效资源调度的新型AI算法；在边缘上实现的SORT性能的多模态分布式AI推理及应用算法。

• 开创性设计了平衡网络流量和资源消耗的任播路由算法。

• 提出了固定参数化顶点覆盖和集合打包问题的基础理论，其复杂度分别为 O(kn+1.2852^k)和O((5.7k)^kn)，对分布式计算、网络系统和生物信息学领域产生了影响。

• 提出了最优（或近似）多边形/体无线传感器网络部署模式，并证明了六边联通的全局最优性。

学术荣誉/奖项

2020-2026斯坦福大学年度/终身前2%世界科学家榜单

2024-2026 Research.com年度全球顶尖科学家榜单(CS&EE)

2025 中国产学研合作创新人物奖

2025 上海市科学技术奖一等奖

2025 粤港澳大湾区人工智能与自动化学会自然科学奖一等奖

2025 粤港澳大湾区人工智能与自动化学会优秀论文奖一等奖

2025 中国电子学会科技三等奖

2024 MSN 2024 最佳论文奖

2024 IEEE-CCF服务计算最佳论文奖

2023 IEEE-CCF服务计算最佳学生论文奖

2023基于AIPerf-LLM（大型语言模型计算能力基准测试）第五届中国超级计算大会（ChinaSC）智能计算能力排行榜第四名。

2020 IEEE Fellow

2017 教育部自然科学一等奖

2016 广东省科技进步三等奖

2013 国家千人计划

2010/2011 深圳高科技展会最佳产品奖

2005 湖南省科技进步二等奖

学历

1978-1982：计算机科学学士，中南矿冶学院（现中南大学），湖南长沙

1982-1984：计算机科学硕士，中南矿冶学院，湖南长沙

1991-1992：应用科学硕士，比利时蒙斯理工学院

1992-1993：计算机科学博士，比利时蒙斯理工学院（现比利时蒙斯大学）

工作经历

1984-1985：中南矿冶学院计算机科学系助教

1986-1987：加拿大渥太华大学计算机科学系客座研究员

1988-1990：中南矿冶学院计算机科学系讲师

1993-1994：德国国家信息科学研究中心研究员（GMD）

1995-2013：香港城市大学计算机科学系助理/副教授/教授

2014-2020：上海交通大学致远讲座教授，中国

2018-2020.6：澳门大学智慧城市物联网国家重点实验室副主任、讲座教授

2020.6-2024.7：北师香港浸会大学（BNBU原UIC）讲座教授，副校长（研究与发展）；研究生院院长；研究办公室主任。

2020.6-：北京师范大学-人工智能与未来网络联合研究所主任/交叉智能超级计算机中心主任，教授。

研究总经费（约7891万元人民币，负责共66个政府/工业界项目）

地区	项目数	金额（原币种）	约合人民币（估算）
中国内地	25	RMB 3679万	3679万
中国香港	35	HKD 3947万	约3382万 （按HKD≈0.86 RMB估算）
中国澳门	6	MOP 1000万	约830万 （按MOP≈0.83 RMB估算）
合计	66	—	约7891万元人民币

论文发表（近5年）(Google Citations:21000+; H-index 78):

IEEE/ACM Transactions （159）:

1. Z Yao, Z Tang, H Cui, W Jia, W Zhao, DIAMM: A Distributed Inference Acceleration Framework for Multimodal Edge Applications, IEEE Transactions on Parallel and Distributed Systems, 2026 (Early Access).

2. W Li, X Sun, J Xia, X Li, W Song, Y Wang, M Zhou, W Jia, MFC-YOLO: Multidirectional Feature Collaboration for Improving Small Industrial Defect Detection Performance, IEEE Transactions on Industrial Informatics, 2026 (Early Access).

3. W Zhong, Y Li, D Yu, W Wang, Q Liu, L Xue, Z Yu, J Zhang, W Jia, T Wang, PI-SAFE: Practical Privacy-preserving LLM Inference with Adversarial Fine-tuning for Optimized Utility, IEEE Transactions on Information Forensics and Security, (Early Access).

4. W Xian, M Zhou, J Yan, X Wei, W Jia, PG-SWIQA: A Physics-Guided Spatial-Wavelet Interaction Network for No-Reference Underwater Image Quality Assessment, IEEE Transactions on Multimedia, (Early Access).

5. Y Li, J Guo, Y Li, Z Tang, X Ding, T Wang, W Jia, Smart Server Selection: Enhancing QoE Through a Budget-Aware Bandit in Meta Computing, IEEE Transactions on Networking, (Early Access).

6. G Zeng, J Guo, C Luo, Z Tang, T Wang, W Jia, Stackelberg Game with Zero-Determinant Strategy for Incentive Mechanism Design in Socially Aware Mobile Crowdsensing, ACM Transactions on Knowledge Discovery from Data 20 (6), 1-32.

7. X Liu, L Fan, X Wei, J Yan, J Luo, H Pu, W Jia, M Zhou, Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster–Shafer Theory With Applications in Pattern Classification, IEEE Transactions on Neural Networks and Learning Systems, (Early Access).

8. G Zeng, J Guo, X Ding, Z Tang, T Wang, W Jia, Reverse-offloading Incentive Mechanism with Long-term Optimization in Social-aware Cloud-edge Systems, IEEE Transactions on Services Computing, (Early Access).

9. Z Li, Z Tang, J Guo, W Jia, W Zhao, Efficient Layer-Granularity Unloading for LLMs in Edge Computing, IEEE Transactions on Mobile Computing, 2026 (Early Access).

10. F Huang, Y Li, W Wang, W Fan, W Jia, T Wang, J Cao, Diffusion-Guided Multi-Objective Reinforcement Learning for Hybrid Action Optimization in Collaborative Edge AIGC Networks, IEEE Transactions on Mobile Computing, 2026 (Early Access).

11. H Huang, J Guo, T Meng, W Yang, T Wang, W Jia, GMDRA: Optimizing Edge-Cloud LLM Security and Efficiency via Game-Theoretic Detection Resource Allocation, IEEE Transactions on Mobile Computing, 2026 (Early Access).

12. K Gu, W Zhao, J Tan, Z Yang, X Li, WJ Jia, Two-Dimensional Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks, IEEE Transactions on Dependable and Secure Computing, 2026 (Early Access).

13. Z Xu, Z Tang, J Lou, Z Yao, X Xie, T Wang, Y Wang, W Jia, EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning, IEEE Transactions on Mobile Computing, 2026 (Early Access).

14. Z Peng, N Zou, J Zeng, B Li, S Chen, T Wang, W Jia, Dynamic Grouping and Aggregation Weight Optimization for Hierarchical Federated Learning with Quantization, IEEE Transactions on Networking, 34: 3824-3839 (2026).

15. J Zeng, G Zhang, Y Li, J Zhou, T Wang, W Jia, Cloud-edge Collaboration for Robust Network Embeddings, ACM Transactions on Internet Technology, 26 (3), 1-23, 2026.

16. F Mou, Z Tang, W Jia, W Zhao, Adaptive Request Scheduling and Load Balancing for Edge Deployed Large Language Models, IEEE Transactions on Services Computing, 19(2): 934-947 (2026).

17. D Chen, X Ding, T Chen, J Guo, T Wang, W Jia, Microservice Scheduling with Spatiotemporal Learning in Dynamic and GPU-CPU Heterogeneous Edge Environment, IEEE Transactions on Services Computing, 19(2): 1392-1405 (2026).

18. J Sheng, Z Tang, J Guo, K Yue, T Wang, W Jia, Adapting Multi-Model Inference Pipelines with Diffusion-Based Reinforcement Learning in Edge Computing, IEEE Transactions on Services Computing, 19(2): 920-933 (2026).

19. F. Huang, W. Wang, Q. Liu, W. Fan, W. Su, W. Jia, T. Wang, J. Cao, EdgeManager: Online Adaptive Resource Management for Hierarchical DNN Inference in Collaborative Edge Environments. IEEE Transactions on Mobile Computing. 25(4): 5571-5589 (2026).

20. J Lu, W Li, J Guo, X Ding, Z Tang, T Wang, W Jia, Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments, IEEE Transactions on Mobile Computing, 25(5): 7338-7353 (2026).

21. W. Yang; M. Ragab; M. Wu; S. J. Pan; G. Lin; W. Jia; Z. Chen, Boosting Time-series Domain Adaptation via A Time-Frequency Consensus Framework, IEEE Transactions on Artificial Intelligence, 7(1): 250-261 (2026).

22. Q Wang, X Wei, J Yan, H Pu, J Luo, W Jia, M Zhou, Balanced Sampling and Reusing Imaginary Data for World Models in Reinforcement Learning, IEEE Transactions on Artificial Intelligence, 7(2): 1118-1130 (2026).

23. S Lang, M Zhou, X Wei, J Yan, Y Feng, W Jia, Image Quality Assessment: Exploring the Similarity of Deep Features via Covariance-Constrained Spectra, IEEE Transactions on Broadcasting,  72(1): 303-316 (2026).

24. X Wang, Z Tang, J Guo, T Meng, C Wang, T Wang, W Jia, Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models, ACM Computing Surveys, 2025, 57(9),1-39.

25. S. Wu; Y. Li; W. Wang; J. Guo; W. Fan; Q. Liu; W. Jia; S. Yu; J. Cao; T. Wang, Enhancing Collaborative Inference on Heterogeneous Edge Devices via Adaptive Ensemble Knowledge Distillation, IEEE Journal on Selected Areas in Communications, 43(10): 3564-3579 (2025).

26. X Zhang, L Cui, WM Lau, FP Tso, Y Deng, W Jia, Enhancing In-Network Computing Deployment via Collaboration Across Planes, IEEE Transactions on Computers, 74(11): 3805-3817 (2025).

27. X Zhang, L Cui, F P Tso, Y Deng, Z Li, W Jia: Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane. IEEE Trans. Parallel Distributed Syst. 36(4): 633-644 (2025).

28. Z Zhou, M Zhou, J Luo, H Pu, LH U, X Wei, W Jia, VideoGNN: Video Representation Learning via Dynamic Graph Modelling, ACM Transactions on Multimedia Computing, Communications and Applications 21(12): 350:1-350:22 (2025).

29. X Lan, W Xian, M Zhou, J Yan, X Wei, J Luo, W Jia, S Kwong: No-Reference Image Quality Assessment: Exploring Intrinsic Distortion Characteristics via Generative Noise Estimation with Mamba. IEEE Trans. Circuits Syst. Video Technol. 35(12): 12692-12706 (2025).

30. L Shao, L Qian, M Li, W Jiang, W Jia, SC-DRL: A Status Correction-empowered Deep Reinforcement Learning Algorithm for Dependency-aware Application Offloading, IEEE Transactions on Services Computing, 18(6): 4153-4166 (2025).

31. D Xiao, Y Sun, H Pu, W Jia, M Zhou, Enhanced Multi-Vehicle Trajectory Prediction via an Extended Temporal Sequence Fusion Attention Network, IEEE Transactions on Intelligent Transportation Systems, 26(12): 23245-23256 (2025).

32. W Xian, J Wang, X Wei, J Yan, Y Huang, K Guo, W Jia, M Zhou: DTSD: A Dual Teacher-Student-Based Discrimination Model for Anomaly Detection. ACM Trans. Multim. Comput. Commun. Appl. 21(6): 178:1-178:21 (2025).

33. Y Li, J Guo, Z Tang, X Ding, J Wang, T Wang, W Jia, Cloud-Edge System for Scheduling Unpredictable LLM Requests with Combinatorial Bandit, IEEE Transactions on Services Computing, 16(8), 3567-3580 (2025).

34. M Zhou, Y Li, G Yang, X Wei, H Pu, J Luo, W Jia, COFNet: Contrastive Object-aware Fusion using Box-level Masks for Multispectral Object Detection, IEEE Transactions on Multimedia, 27: 7444-7458 (2025).

35. Y Zhang, J Guo, X Ding, Z Tang, T Wang, W Wu, W Jia: Optimizing Communication Efficiency through Training Potential in Multi-Modal Federated Learning. ACM Trans. Internet Techn. 25(3): 18:1-18:31 (2025)

36. H. Cui; Z. Tang; Y. Wu; W. Jia, Layer-Aware Cost-Effective Container Updates with Edge-Cloud Collaboration in Edge Computing, IEEE Transactions on Mobile Computing, 24(11): 12314-12328 (2025).

37. C. Xu; J. Guo; Y. Liang; H. Zou; J. Zeng; H. Dai; W. Jia; J. Cao; T. Wang, Enhancing QoE in Collaborative Edge Systems with Feedback Diffusion Generative Scheduling, IEEE Transactions on Mobile Computing, 24(12): 12983-12998 (2025).

38. M. Qian; L. Cui; F. P. Tso; Y. Deng; Z. Zhang; W. Jia, FlxVRM: Enabling Online Configuring Memory Via Virtualization on Programmable Data Plane, IEEE Transactions on Services Computing, 18(4): 2103-2114 (2025).

39. Z. Zheng, M. Zhou, Z. Shang, X. Wei, H. Pu, J. Luo, W. Jia, GAANet: Graph Aggregation Alignment Feature Fusion for Multispectral Object Detection, IEEE Transactions on Industrial Informatic, 21(11): 8282-8292 (2025).

40. Y Li, Y Wu, H Xing, L Feng, T Wang, W Jia, QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR, IEEE Transactions on Vehicular Technology, 74(9): 14432-14444 (2025).

41. M Wang, J Tian, M Zhang, J Guo, W Jia, MTMD: multi-scale temporal memory learning and efficient debiasing framework for stock trend forecasting, IEEE Transactions on Emerging Topics in Computational Intelligence, 9(3): 2151-2163 (2025).

42. X Zhang, L Cui, FP Tso, Y Deng, Z Li, W Jia, Monte: SFCs Migration Scheme in the Distributed Programmable Data Plane, IEEE Transactions on Parallel and Distributed Systems, 2025, Volume: 36, Issue: 4.

43. J Wu, J Guo, Z Tang, C Luo, T Wang, W Jia, Sequence-Aware Online Container Scheduling with Reinforcement Learning in Parked Vehicle Edge Computing, IEEE Transactions on Vehicular Technology, 74(8): 12921-12934 (2025).

44. F Huang, W Wang, Q Liu, W Fan, J Guo, W. Jia, J Cao, T Wang, DRMQ: Dynamic Resource Management for Enhanced QoS in Collaborative Edge-Edge Industrial Environments, IEEE Transactions on Services Computing, 2025, Volume: 18, Issue: 2.

45. Z. Yao; Z. Tang; W. Yang; W. Jia, Enhancing LLM QoS Through Cloud-Edge Collaboration: A Diffusion-Based Multi-Agent Reinforcement Learning Approach, IEEE Transactions on Services Computing, 18(2): 743-757 (2025).

46. M. Qian; L. Cui; X. Zhang; F. P. Tso; Y. Deng; Z. Li; W. Jia, DisPLOY: Target-Constrained Distributed Deployment for Network Measurement Tasks on Data Plane, IEEE Transactions on Parallel and Distributed Systems, 36(7): 1608-1619 (2025).

47. Z Li, J Lou, Z Tang, J Guo, T Wang, W Jia, W Zhao, Online Layer-Aware Joint Request Scheduling, Container Placement, and Resource Provision in Edge Computing, IEEE Transactions on Services Computing, 18(1): 328-341 (2025).

48. Z Li, J Lou, J Wu, J Guo, Z Tang, P Shen, W Jia, W Zhao, Online Container Scheduling with Fast Function Startup and Low Memory Cost in Edge Computing, IEEE Transactions on Computers, 2024, Volume: 73, Issue: 12.

49. F Mou, J Lou, Z Tang, Y Wu, W Jia, Y Zhang, W Zhao, Adaptive Digital Twin Migration in Vehicular Edge Computing and Networks, IEEE Transactions on Vehicular Technology, 74(3): 4839-4854 (2025).

50. J Song, M Zhou, J Luo, H Pu, Y Feng, X Wei, W Jia, Boundary-Aware Feature Fusion with Dual-Stream Attention for Remote Sensing Small Object Detection, IEEE Transactions on Geoscience and Remote Sensing, 2025, Volume: 63, 1-13 (2025).

51. J. Zhao, X. Cao, S. Yuan, M. Zhou, H. Pu, J. Luo, W. Jia: Magnetic Gravity Compensator with Low Natural Frequency and High Force Density. IEEE Trans. Ind. Informatics 21(5): 3727-3735 (2025).

52. K Gu, Z Liu, W Jia, Location-Aware Reliable Task Cooperative-Computation Scheme Under Fog Computing-Based IoVs, IEEE Transactions on Intelligent Transportation Systems, 26(1): 425-442 (2025).

53. X Cao, J Zhao, L Mao, H Pu, J Luo, M Zhou, W Jia, Active Frequency-Dependent GER Fluid Damper with a Composite Mode of Cut and Flow, IEEE/ASME Transactions on Mechatronics, 2024, Early Access.

54. J Wu, Z Yu, J Guo, Z Tang, T Wang, W Jia, Two-Stage Deep Energy Optimization in IRS-Assisted UAV-Based Edge Computing Systems, IEEE Transactions on Mobile Computing, 24(1): 449-465 (2025).

55. Z Tang; F Mou; J Lou; W Jia; Y Wu; W Zhao, Joint Resource Overbooking and Container Scheduling in Edge Computing, IEEE Transactions on Mobile Computing, 23(12): 10903-10917 (2024).

56. C. Xu; J. Guo; Y. Li; H. Zou; W. Jia; T. Wang, Dynamic Parallel Multi-Server Selection and Allocation in Collaborative Edge Computing, IEEE Transactions on Mobile Computing, 23(11): 10523-10537 (2024).

57. Y. Li, J. Guo, Y. Li, T. Wang, Weijia Jia, Adversarial Bandits with Multi-User Delayed Feedback: Theory and Application, IEEE Transactions on Mobile Computing, 23(10), 9383-9397 (2024).

58. X. Wang, H. Shangguan, F. Huang, S. Wu, Weijia Jia, MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection, IEEE Transactions on Knowledge and Data Engineering, 36(8), 2024.

59. S Cheng, J Song, M Zhou, X Wei, H Pu, J Luo, W Jia, EF-DETR: A Lightweight Transformer-Based Object Detector with an Encoder-Free Neck, IEEE Transactions on Industrial Informatics, 20(11): 12994-13002 (2024).

60. X Cao, J Zhao, L Mao, H Pu, J Luo, M Zhou, W Jia, Active Frequency-Dependent GER Fluid Damper with a Composite Mode of Cut and Flow, IEEE/ASME Transactions on Mechatronics, 2024, Early Access.

61. H Cui; Z Tang; J Lou, W Jia, W Zhao, Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach, IEEE Transactions on Services Computing, 17(5): 2530-2543 (2024).

62. M. Qian; L. Cui; F. P. Tso; Y. Deng; W. Jia, OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry, IEEE Transactions on Services Computing, 17(3): 1072-1083 (2024).

63. H Huang, T Meng, J Guo, X Wei, W Jia, SecEG: A Secure and Efficient Strategy against DDoS Attacks in Mobile Edge Computing，ACM Transactions on Sensor Networks, 20(3): 55:1-55:21 (2024).

64. J Lou, Z Tang, W Jia, W Zhao, J Li, Startup-aware Dependent Task Scheduling with Bandwidth Constraints in Edge Computing, IEEE Transactions on Mobile Computing, 23(2),1586-1600, 2024.

65. W Xian, M Zhou, B Fang, T Xiang, W Jia, B Chen, Perceptual Quality Analysis in Deep Domains Using Structure Separation and High-Order Moments, IEEE Transactions on Multimedia, 26: 2219-2234, 2024.

66. Z Tang, F Mou, J Lou, W Jia, Y Wu, W Zhao, Multi-User Layer-Aware Online Container Migration in Edge-Assisted Vehicular Networks, IEEE/ACM Transactions on Networking, 32(2): 1807-1822 (2024).

67. M. Wang, J. Guo, Weijia Jia, Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity, IEEE Transactions on Artificial Intelligence, 5(5): 2026-2039 (2024).

68. W Xian, M Zhou, B Fang, T Xiang, W Jia, B Chen, Perceptual Quality Analysis in Deep Domains Using Structure Separation and High-Order Moments, IEEE Transactions on Multimedia, 26: 2219-2234 (2024).

69. Y Li, C. Dou, Y Wu, W Jia and R. Lu, NOMA Assisted Two-Tier VR Content Transmission: A Tile-based Approach for QoE Optimization, IEEE Transactions on Mobile Computing, 23(5): 3769-3784 (2024).

70. M Zhou, H Leng, B Fang, T Xiang, X Wei, W Jia, Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition, ACM Transactions on Multimedia Computing, Communications and Applications, 19(6), pp.1-23, 2023.

71. K Gu, WB Zhang, XQ Wang, X Li, WJ Jia, Dual Attribute-Based Auditing Scheme for Fog Computing-Based Data Dynamic Storage with Distributed Collaborative Verification, IEEE Transactions on Network and Service Management, 20(4), 2023.

72. Y Liang, M Yin, Y Zhang, W Wang, W Jia, T Wang, Grouping Reduces Energy Cost in Directionally Rechargeable Wireless Vehicular and Sensor Networks, IEEE Transactions on Vehicular Technology, 72(8), 2023.

73. T Wang, B Sun, L Wang, X Zheng, W Jia, EIDLS: An Edge-Intelligence-Based Distributed Learning System Over Internet of Things, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(7), 2023.

74. X Zhang, L Cui, FP Tso, W Jia, Compiling Service Function Chains via Fine-Grained Composition in the Programmable Data Plane, IEEE Transactions on Services Computing, 16(4), 2023.

75. X Zhang, L Cui, FP Tso, Z Li, W Jia, Dapper: Deploying Service Function Chains in the Programmable Data Plane via Deep Reinforcement Learning, IEEE Transactions on Services Computing , 16(4), 2023.

76. M Zhou, H Leng, B Fang, T Xiang, X Wei, W. Jia, Low-Light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition, ACM Transactions on Multimedia Computing, Communications and Applications, 19(6), 1-23, 2023.

77. Y Li, Y Wu, Y Song, L Qian, W Jia, Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach, IEEE Transactions on Mobile Computing, 22(12), 2023.

78. J Lou, Z Tang, W Jia, Energy-efficient Joint Task Assignment and Migration in Data Centers: A Deep Reinforcement Learning Approach, IEEE Transactions on Network and Service Management, 20(2), 2023.

79. J Lou, Z Tang, S Zhang, W Jia, W Zhao, J Li, Cost-Effective Scheduling for Dependent Tasks with Tight Deadline Constraints in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 22(10), 2023.

80. J Lou, H Luo, Z Tang, W Jia, W Zhao, Efficient Container Assignment and Layer Sequencing in Edge Computing, IEEE Transactions on Services Computing, 16(2), 2023.

81. C Duan, Y Feng, M Zhou, X Xiong, Y Wang, B Qiang, W Jia, Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval, IEEE Transactions on Industrial Informatics, 19(8), 2023.

82. W Xian, M Zhou, B Fang, X Liao, C Ji, T Xiang, W Jia, Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning, IEEE Transactions on Broadcasting, 69(1), 2023.

83. J. Lou, Z. Tang, W Jia, Energy-efficient Joint Task Assignment and Migration in Data Centers: A Deep Reinforcement Learning Approach, IEEE Transactions on Network and Service Management, 20(2), 2023.

84. X. Wei, M. Zhou, W Jia, Towards Low-Latency and High-Quality Adaptive 360-Degree Streaming, IEEE Transactions on Industrial Informatics, 19(5), 2023.

85. Z Tang, F Zhang, X Zhou, W Jia, W Zhao, Pricing Model for Dynamic Resource Overbooking in Edge Computing, IEEE Transactions on Cloud Computing, 11(2), 2023.

86. Z Tang, J Lou, W Jia, Layer Dependency-aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 22(3), 2023.

87. L. P. Qian; Yuan Wu; N. Yu; D. Wang, F. Jiang; W. Jia, Energy-Efficient Multi-Access Mobile Edge Computing with Secrecy Provisioning, IEEE Transactions on Mobile Computing, 22(1), 2023.

88. Y Li, Y Wu, M Dai, B Lin, W Jia, X Shen, Hybrid NOMA-FDMA Assisted Dual Computation Offloading: A Latency Minimization Approach, IEEE Transactions on Network Science and Engineering 9 (5), 3345-3360, 2022.

89. K Gu, X Dong, X Li, W Jia, Cluster-Based Malicious Node Detection for False Downstream Data in Fog Computing-Based VANETs, IEEE Transactions on Network Science and Engineering, 9(3), 2022.

90. K Gu, J Hu, W Jia, Adaptive Area-Based Traffic Congestion Control and Management Scheme Based on Fog Computing, IEEE Transactions on Intelligent Transportation Systems, 24(1), 2023.

91. Z Xia, X Mao, K Gu, WJ Jia, Dual-Mode Data Forwarding Scheme Based on Interest Tags for Fog Computing-based SIoVs, IEEE Transactions on Network and Service Management, 19(3), 2022.

92. K Gu, XY Dong, X Li, WJ Jia, Cluster-Based Malicious Node Detection for False Downstream Data in Fog Computing-Based VANETs, IEEE Transactions on Network Science and Engineering, 9(3), 1245-1263, 2022.

93. Z Xia, L Zeng, K Gu, X Li, W Jia, Conditional Identity Privacy-Preserving Authentication Scheme Based on Cooperation of Multiple Fog Servers under Fog Computing-Based IoVs, ACM Transactions on Internet Technology (TOIT), 2022.

94. L Cheng, W Jia, W Yang, Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding, ACM Transactions on Information Systems 41 (2), 1-32, 2022.

95. W Xian, M Zhou, B Fang, X Liao, C Ji, T Xiang, W Jia, Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning, IEEE Transactions on Broadcasting, early access, 2022.

96. M Zhou, X Wei, W Jia, S Kwong, Joint Decision Tree and Visual Feature Rate Control Optimization for VVC UHD Coding, IEEE Transactions on Image Processing 32, 219-234, 2023.

97. W Shen, M Zhou, X Liao, W Jia, T Xiang, B Fang, Z Shang, An End-to-End No-Reference Video Quality Assessment Method with Hierarchical Spatiotemporal Feature Representation, IEEE Transactions on Broadcasting, early access, 2022.

98. Z.Xia, Y. Zhang, K. Gu, X. Li and W Jia, Secure Multi-Dimensional and Multi-Angle Electricity Data Aggregation Scheme for Fog Computing-Based Smart Metering System, IEEE Transactions on Green Communications and Networking, 6(1), March 2022, pp.313-328.

99. Z. Xia; X. Mao; K. Gu; Weijia Jia, Two-Dimensional Behavior-Marker-Based Data Forwarding Incentive Scheme for Fog-Computing-Based SIoVs, IEEE Transactions on Computational Social Systems, 9(5), 2022.

100. X Wei, M Zhou, S Kwong, H Yuan, W Jia, “A Hybrid Control Scheme for 360-Degree Dynamic Adaptive Video Streaming over Mobile Devices”, IEEE Transactions on Mobile Computing, 21(10), 2022.

101. T. Wang; Y. Liu; X. Zheng; H.-N. Dai, W. Jia; M. Xie, Edge-Based Communication Optimization for Distributed Federated Learning, IEEE Transactions on Network Science and Engineering, 9(4), 2022.

102. K Gu, WB Zhang, X Li, W Jia, Self-Verifiable Attribute-Based Keyword Search Scheme for Distributed Data Storage in Fog Computing with Fast Decryption, IEEE Transactions on Network and Service Management, 19(1), 2022.

103. K. Gu; K. Wang; X. Li; W. Jia, Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular Identity in Internet of Vehicles, IEEE Transactions on Intelligent Transportation Systems, 23(8), 2022.

104. K. Gu; X. Dong; W. Jia, Malicious Node Detection Scheme Based on Correlation of Data and Network Topology in Fog Computing-Based VANETs, IEEE Transactions on Cloud Computing, 10(2), 2022.

105. X. Zhang, T. Liu, P. Li, Weijia Jia*, H. Zhao, “Robust Neural Relation Extraction via Multi-Granularity Noises Reduction”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(9): 3297-3310 (2021).

106. T Wang, Y Lu, J Wang, HN Dai, X Zheng, W Jia, “EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems”, IEEE Transactions on Computers, 70(8), pp. 1285-1298, 2021.

107. M. Zhou; X. Wei; S. Kwong; Weijia Jia; B. Fang, “Rate Control Method Based on Deep Reinforcement Learning for Dynamic Video Sequences in HEVC”, IEEE Transactions on Multimedia, Volume: 23, 2021.

108. X. Zhang, L. Cui, F. P. Tso and W. Jia, "pHeavy: Predicting Heavy Flows in the Programmable Data Plane," in IEEE Transactions on Network and Service Management, 18(4), pp. 4353-4364, Dec. 2021.

Selected Top-tier International Conferences (218):

109. Z. Yao, Z. Tang, H. Cui, Q. Ma, F. Meng, W. Jia, Prefill-Guided Trace Allocation for Sample-Efficient Test-Time Scaling, NeurIPS, 2026, CCF A.

110. Q. Ma, Z. Tang, F. Meng, Z. Yao, H. Cui, W. Jia, Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning, NeurIPS, 2026, CCF A.

111. Y. Li, J. Guo, Y. Li, Z. Tang, T. Wang, W. Jia, Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits, NeurIPS, 2026, CCF A.

112. H. Cui, Z. Tang, Z. Yao, F. Meng, W. Jia, and W. Zhao, Predict to Skip: Linear Multistep Feature Forecasting for Efficient Diffusion Transformers, ACM Multimedia 2026 Main Track，CCF A.

113. H. Cui, Z. Tang, Q. Ma, Z. Yao, W. Jia and W. Zhao, Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation, ACM Multimedia 2026 Main Track，CCF A.

114. Z. Wang, W. Yang, Q. Wu, L. Ma, Y. Zhang and W Jia, BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting, ACM SIGKDD 2026 (accepted rate 29%, Datasets&benchmarks track), CCF A.

115. Y. Mei, H Qin, T. Wang, W Jia, PG-DyRA: Potential-Game Guided Multi-Agent Collaboration for Dynamic Urban Resource Allocation, ACM SIGKDD 2026 (accepted rate ~18.5%, research track), CCF A.

116. Size Li, Z. Tang, H. Liang, J. Guo, J. Lou, T. Wang, W. Jia. HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization. Forty-third International Conference on Machine Learning (ICML), 2026, CCF A.

117. Q. Ma, Z. Tang, H. Cui, Zhi Yao, W. Jia. Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching. Forty-third Intern. Conf. on Machine Learning (ICML), 2026, CCF A.

118. H. Cui, Z. Tang, Z. Yao, W. Jia, BWCACHE: ACCELERATING VIDEO DIFFUSION TRANSFORMERS THROUGH BLOCK-WISE CACHING, ICLR 2026, CCF A.

119. H Qin, Y Li, W Jia, WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations, 2026 AAAI, 40 (18), 15635-15643, CCF A.

120. Z. Wang, Z. Lin, W. Yang, K. Zhou, Y. Zhang, W. Jia, ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification, ACL 2026 Main, CCF A.

121. Y. Zhang, W. Yang, Y. Zhang, W. Jia, ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering, ACL 2026 Main, CCF A.

122. K. Zhou, W. Yang, Z. Wang, Y. Zhang, W. Jia, Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions, ACL 2026 Findings, CCF A.

123. Z. Wang, X. Liu, W. Yang, K. Zhou, Y. Zhang, W. Jia, ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning, ACL 2026 Findings, CCF A.

124. Kuan Yan, Zhiqing Tang, Tian Wang, Weijia Jia. ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG Services. IEEE Intern. Conf. on Web Services (ICWS), 2026, CCF B.

125. Z. Yao, W. Chen, Z. Tang, H. Cui, Q. Ma, W. Jia, W. Zhao. CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services. IEEE Intern. Conf. on Web Services (ICWS), 2026, CCF B.

126. Z. Huang, Z. Tang, H. Cui, T. Wang, Y. Wu, W. Jia, W. Zhao. RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services, IEEE Intern. Conf. on Web Services (ICWS), 2026, CCF B.

127. X. Hu, Z. Tang, Z. Yao, T. Wang, W. Jia. CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation. IEEE Intern. Conf. on Web Services (ICWS), 2026, CCF B.

128. H. Cui, Z. Tang, Z. Yao, W. Jia, Accelerating Diffusion Model Inference via Semantics-Aware Trajectory Reuse and Adaptive Scheduling, ACM NOSSDAV, Apr. 4-8, 2026 Hong Kong, China, CCF B.

129. W. Wang, W. Wang, H. Dai, Z. Cai, W. Jia, T. Wang, An Efficient Sharing–Encryption–Based Secure Aggregation Protocol for Federated Learning in Multimedia Applications, ACM NOSSDAV, Apr. 4-8, 2026 Hong Kong, China, CCF B.

130. X. Wang, J. Wu, Y. Yuan, D. Cai, M. Li, W. Jia: Demonstration Selection for In-Context Learning via Reinforcement Learning,ICML 2025, CCF A.

131. L Fan, X Liu, M Zhou, X Wei, W Xian, J Yan, W Jia, A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement, Advances in Neural Information Processing Systems 38, 12215-12242, (NeurIPS, 2025), CCF A.

132. W Shen, M Zhou, Y Chen, X Wei, J Luo, H Pu, W Jia, Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference, CVPR, Nashville, USA, June 11-15, 2025, CCF A.

133. H. Huang, T. Meng, W. Jia, Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems, INFOCOM 2025, CCF A.

134. Z. Wang, W. Yang, K. Zhou, Y. Zhang, W. Jia, RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector, AAAI 2025, CCF A.

135. Y Zhang, W Zhong, X Liu, F Huang, W Wang, T Wang, W Jia, EdgeInfer-TP: A Collaborative Tensor Parallelism Inference System for Heterogeneous Edge Devices, International Conference on Service-Oriented Computing, 457-465, 2025.

136. J Wu, W Yang, B Liu, W Jia, TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations, Proceedings of the 34th ACM International Conference on Information and Knowledge Management, Pages 3386-3395, Seoul, Republic of Korea, November 10-14, (CIKM 2025), CCF B.

137. Z. Qin, C. Wang, J. Guo, H. Qin, W. Jia: Brainstorming Brings Power to Large Language Models of Knowledge Reasoning. ICME 2025: 1-6, CCF B.

138. J Wu, X Wang, W Jia, ENHANCING TEXT ANNOTATION THROUGH RATIONALE-DRIVEN COLLABORATIVE FEW-SHOT PROMPTING, ICASSP 2025, CCF B.

139. X. Zhang, L. Cui, W. Lau, F. P. Tso, Y. Deng, W. Jia: Carlo: Cross-Plane Collaboration for Multiple In-network Computing Applications. INFOCOM 2024: 2528-2537, CCF A.

140. C. Fu, W. Jia, N. Ruan: Client-Free Federated Unlearning via Training Reconstruction with Anchor Subspace Calibration. ICASSP 2024: 9281-9285, CCF B.

141. (Best Paper Award) Z. Tang, W. Peng, J. Guo, J. Lou, H. Cui, T. Wang, Y. Wu, W. Jia, LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing”, 20th IEEE International Conference on Mobility, Sensing and Networking, Dec. 19-20, 2024, Harbin, China.

142. Z. Yao, Z. Tang, J. Lou, P. Shen, W. Jia: VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework. ICWS 2024: 865-876, CCF B.

143. J Lou, Z Tang, Xinyu Lu, S Yuan, Jie Li, W Jia, Chentao Wu: Efficient Serverless Function Scheduling in Edge Computing. ICC 2024: 1029-1034, CCF B.

144. (IEEE Outstanding Paper Award) Z. Cao, X. Zhnag, J. Guo, W. Jia, T. Wang, “Cost-Effective Dynamic Alliance Pricing Mechanism Based on Distributed Edge-Intelligence”, The 21st IEEE International Symposium on Parallel and Distributed Processing with Applications, Dec. 21-23, 2023, Wuhan, China, CCF B.

145. (Best Student Paper Award) S. Wu, Y. Li, Y. Xu, Q. Liu, W. Jia, T. Wang, EKDF: An Ensemble Knowledge Distillation Framework for Robust Collaborative Inference on Heterogeneous Edge Devices, The 19th International Conference on Mobility, Sensing and Networking, 14-16 Dec. 2023, Nanjing, China.

146. X Lin, W Jia, Z Gong, Self-distilled Transitive Instance Weighting for Denoised Distantly Supervised Relation Extraction, Findings of the Association for Computational Linguistics: EMNLP 2023, 168-180, CCF B.

147. L Cheng, W Yang, Weijia Jia, A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023), 37(11), pp.12691-12699, CCF A.

148. H Cui, Z Tang, J Lou, W Jia, Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach, 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6

149. R Bai, H Lin, X Yang, X Wu, M Li, Weijia Jia, Mixed Strategies for Security Games with General Defending Requirements, AAAI 2023, CCF A.

150. Z. Cao, X. Zheng, J. Guo, W. Jia, Y. Xu, Tian Wang: Cost-Effective Dynamic Alliance Pricing Mechanism Based on Distributed Edge-Intelligence. ISPA/BDCloud/SocialCom/SustainCom 2023: 612-619.

151. Z. Tang, J. Chen, C. Wang, T. Wang, W. Jia: Greedy+Max: An Efficient Approximation Algorithm for k-Submodular Knapsack Maximization. COCOA (1) 2023: 287-299.

152. S. Wang, C. Wang, T. Wang, W. Jia: Approval-Based Participatory Budgeting with Donations. COCOON (2) 2023: 404-416.

153. C. Xu, Y. Li, X. Chu, H. Zou, W. Jia, T. Wang: SMCoEdge: Simultaneous Multi-server Offloading for Collaborative Mobile Edge Computing. ICA3PP (5) 2023: 73-91.

154. Y. Li, G. Wang, T. Wang, W. Jia: FL-HSDP: Client-Side Defense for Federated Learning via Hessian Optimization and Shuffled Differential Privacy. HPCC/DSS/SmartCity/DependSys 2023: 696-703.

155. M. Wang, F. Chen, J. Guo, W. Jia: Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning. IJCNN 2023: 1-10.

156. X. Wang, W. Jia, A Feature Weighting Particle Swarm Optimization Method to Identity Biomarker Genes, IEEE International Conference on Bioinformatics and Biomedicine, (BIBM 2022), CCF B.

157. R Bai, H Lin, X Yang, X Wu, M Li, Weijia Jia: Mixed Strategies for Security Games with General Defending Requirements, IJCAI 2022: 46-52, CCF A.

158. X. Wei, M. Zhou, W. Jia: Global Optimization Solution for Dynamic Adaptive 360-Degree Streaming. ICASSP 2022: 1-5, CCF B.

159. R Bai, H Lin, X Yang, X Wu, M Li, W Jia, “Defending Against Contagious Attacks on a Network with Resource Reallocation”, AAAI 2021, 5135-5142, CCF A.

160. Z. Sun, Y. Han, Z. Hua, N. Ruan, Weijia Jia: Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features, CVPR 2021: 3609-3618, CCF A.

161. X. Lin, T. Liu, Weijia Jia, Z. Gong: Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning. EMNLP (1) 2021: 165-174, CCF B.

162. Y. Huang, W Jia, Exploring Sentence Community for Document-Level Event Extraction, EMNLP-Findings, 2021, pp. 340-351, CCF B.

163. T. Wang, Y. Li, Yuan Wu, L. Qian, L. Bin, Weijia Jia, Optimal Channel Sharing assisted Multi-user Computation Offloading via NOMA, IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp.1-6.

164. Cheng, Lizhi, Weijia Jia, and Wenmian Yang. "An Effective Non-Autoregressive Model for Spoken Language Understanding." Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM), 2021/10/26, pp.241-250, CCF B.

165. Cheng, Lizhi, Weijia Jia, and Wenmian Yang. "A Result based Portable Framework for Spoken Language Understanding." 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, pp.1-6, CCF B.

专利

1. 美国专利：“长途列车移动互联网服务系统”，US 9258759 B2, 发明人：贾维嘉。

2. 美国专利：“基于静音的自适应实时语音和视频传输方法及系统”，US 8438016 B2, 发明人：贾维嘉, 张立卓。

3. 中国专利：“一种分布式多媒体传感控制系统”，专利号：ZL2016 2 1029917.5，发明人：贾维嘉、段肃锋、彭洪建。

4. 中国专利：“基于弹幕评论的视频标签提取”，专利号：CN162778.1，发明人：贾维嘉，杨文勉。

5. 中国专利：“电信欺诈检测与隐私保护系统及方法”，专利号：CN170075.1，阮娜，贾维嘉，赵明。

6. 中国专利：“一种实体提取方法”，专利号：CN181403.1，发明人：贾维嘉，张新松，李鹏帅，刘天一。

7. 中国专利：“一种动态知识图谱方法”，专利号：CN180845.1，发明人：贾维嘉，丁建辉，马世恒。

8. 中国专利：“车载边缘网络及设备的数字孪生”，专利号：ZL2024 1 0949004.8，发明人：唐志清、贾维嘉、沈平、牟芳仪。

9. 中国专利：“基于边缘计算的在线容器调度方法、系统及设备”，专利号：ZL2024 1 0926682.2，发明人：贾维嘉、唐志清、沈平。

10. 中国专利：“利用强化学习进行边缘计算的服务链布局”，专利号：ZL2021 1 0925125.3，发明人：贾维嘉、张松峪、沈平。

11. 中国专利：“一种用于数值推理任务的胶囊网络结构”，专利号：ZL2021 1 0926468.3，发明人：贾维嘉、刘天一、宋宇恒、沈平。

指导学生 AI/CS 竞赛奖）（～50项国际比赛）

1. 金牌（1/4245）：Jane Street 市场预测第一名：优胜者（Kaggle 比赛），股票预测，（硕士生：王明杰）（2022）

2. TOP 2：ACM SIGSPATIAL 2021 GISCUP 时序分析（硕士生：王明杰）（2023）

3. TOP 2：ACM SIGSPATIAL 2021 GISCUP（GIS 国际峰会），ETA 预测，（硕士生：王明杰）（2023）

4. 银牌：CommonLit 可读性奖（Kaggle 比赛），文本分类，（硕士生：王明杰）（2022）

5. 银牌：作用机制 (MoA) 预测（Kaggle 比赛），结构化数据分类，（硕士生：王明杰）（2021）

6. 银牌：美国专利短语匹配（Kaggle 竞赛）、文本相似性分类、（硕士生：王明杰，本科生：吴建明）（2022）

行政管理

1. 2020.6-2024.7：北师香港浸会大学（BNBU/UIC）副校长，研究生院院长，创建本科、硕士、博士人工智能课程。科研处处长（成立科研奖励计划）

2. 2021.7- 北京师范大学交叉智能超算中心创始人、主任。

3. 2020.12：协助BNBU获得应用数学、统计学独立博士学位授予权。

4. 2020.6-：北京师范大学人工智能与未来网络研究中心创始人、主任。

5. 2022.8-2024.1：BNBU图书馆主任

6. 2020.6-：BNBU人工智能与大数据中心创始人、主任

7. 2022.10-：北京师范大学教育部云边物联大数据与协调处理器工程中心委员

8. 2021.10-：北京师范大学人工智能与未来教育工程中心创始人主任

9. 2021.1-：BNBU省级人工智能与多模数据处理中心创始人、主任

学术期刊编辑

1. 特刊编辑：边缘计算网络中的高性能计算，并行和分布式计算杂志，2019

2. 领域编辑（2010-2016）：IEEE 并行和分布式系统 （IEEE TPDS）。

3. 领域编辑（2009-2015）：计算机通信，Elsevier。

4. 国际计算机和应用杂志 ISSN：1206-212X，ACTA Press 编委会成员（2002-2008）。

5. 国际无线和移动计算杂志 (IJWMC) 编委会成员，ISSN（在线）：1741-1092 - ISSN（印刷）：1741-1084。

6. 区域编辑：《国际并行、新兴和分布式系统杂志》，Taylor & Francis，ISSN 印刷版 1744-5760，ISSN 在线版 1744-5779。

专业活动

1. 中国计算机学会珠海代表处主任，（2025.11-）

2. 创始联合主席：ACM珠海分会，（2023.12-）

3. 广东省教育人工智能协会会长（2020.10-）

4. 大湾区（澳门）人工智能协会会长（2018,12-）

5. 人工智能网络系统研究所副理事长（2022.9-）

6. 中国计算机学会（CCF）杰出会员，2016