English | 中文 | 登陆
Bg banner
Menu
实验室简介

协同智能技术实验室(CIT实验室)已经具有20多年的历史。目前CIT实验室致力于协同计算与智能技术的融合。实验室主任为曹健教授,副主任为钱诗友副研究员。主要的研究方向包括但不限于:

  • 协同智能技术与系统:(1)基于多智能体协同的感知与决策(2)分布式人工智能模型(3)智能业务流程管理:重点研究自适应业务过程管理,业务过程大数据智能分析
  • 智能数据分析与应用 :(1)基于大数据的个性化服务:结合大数据,提供个性化服务的推荐和服务系统的优化(2)医疗领域的决策支持:医疗大数据的分析,提供治疗方案的智能推荐(3)交通轨迹数据分析:对出租车、网约车的调度、异常检测等提供算法(4)开源软件生态系统的研究:对开源生态系统的演化规律进行研究,对开源项目进行监控与预测,开发开源项目中的协同模型。
  • 智能服务计算 :(1)推荐系统(2)智能服务:运用人工智能提高服务的适应性和智能化水平;(3)服务协同技术:研究服务的自主协同机制;(5)金融服务计算:运用大数据、人工智能技术对金融业务提供支持。
  • 网络计算(1)分布式发布/订阅系统:研究高效率事件匹配算法,形成新一代基于语义的事件分发平台(2)云计算系统的调度优化(3)大规模计算系统的智能运维:对计算系统的性能进行预测,故障报警和容量优化

实验室欢迎有志于从事这些方面研究的同学加入!欢迎联系曹健老师,钱诗友老师!

成果列表

近些年,实验室在重要国际期刊(包括TPDS、TKDD、TOIS、TSC、TAAS、TWeb、TOMM、VLDBJ、WWWJ等)和重要国际会议(如KDD、VLDB、INFOCOM、WWW、AAAI、IJCAI、IEEE ICWS、WSDM、ICSOC、DASFAA、ICDM等)发表多篇论文。近年来代表性论文如下:

期刊
Nengjun Zhu, Jian Cao*, Xinjiang Lu, Hui Xiong: Learning a Hierarchical Intent Model for Next-Item Recommendation. ACM Trans. Inf. Syst. 40(2): 38:1-38:28 (2022)
Nengjun Zhu, Jian Cao*, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, and Hui Xiong. 2022. Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data 16, 6, Article 116 (December 2022), 23 pages. https://doi.org/10.1145/3529091
X. Wang, J. Cao* and R. Buyya, "Adaptive Cloud Bundle Provisioning and Multi-Workflow Scheduling via Coalition Reinforcement Learning," in IEEE Transactions on Computers, 2022, doi: 10.1109/TC.2022.3191733.
Shiyou Qian, Bin Chen, Jian Cao*, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li, Tao Zhang, Detecting Taxi Trajectory Anomaly based on Spatio-Temporal Laws, IEEE Intelligent Transportation Systems, vol. 23, no. 7, pp. 6883-6894, July 2022, doi: 10.1109/TITS.2021.3063199.
Qi Gu, Jian Cao*, Yancheng Liu, CSBR: A Compositional Semantics-based Service Bundle Recommendation Approach for Mashup Development, IEEE Transactions on Service Computing, DOI: 10.1109/TSC.2021.3085491
Tianchen Ding, Shiyou Qian, Jian Cao, Guangtao Xue, Yanmin Zhu, Jiadi Yu, Minglu Li: MO-Tree: An Efficient Forwarding Engine for Spatiotemporal-Aware Pub/Sub Systems. IEEE Trans. Parallel Distributed Syst. 32(4): 855-866 (2021)
Jian Cao*, Tingjie Jia, Shiyou Qian, Haiyan Zhao, Jie Wang: CBPCS: A Cache-block-based Service Process Caching Strategy to Accelerate the Execution of Service Processes. ACM Trans. Web 15(1): 1:1-1:29 (2021)
Nengjun Zhu, Jian Cao, Kunwei Shen, Xiaosong Chen, and Siji Zhu: A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment [J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 16, no. 1s (2020): 1-23.
Wenjuan Li, Jian Cao, Shiyou Qian, Rajkumar Buyya: TSLAM: A Trust-enabled Self-Learning Agent Model for Service Matching in the Cloud Market [J]. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2019, 13(4): 16:1-41
Shiyou Qian, Jian Cao, Weichao Mao, Yanmin Zhu, Jiadi Yu, Minglu Li, Jie Wang. A fast and anti-matchability matching algorithm for content-based publish/subscribe systems [J]. Computer Networks, 2019, 149(11): 213-225
Chenyang Liu, Jian Cao, Shanshan Feng: Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation [J]. ACM Transactions on Knowledge Discovery From Data (TKDD), 2019, 13(3):1-27
Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao. Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context [J]. IEEE Intelligent Systems, 2018, 33(6): 57-67
会议
Yao Wu, Jian Cao*, Guandong Xu, Yudong Tan: TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. SIGIR 2021: 1013-1022
Qi Q., Cao J.*, Liu Y. (2021) API-PROGRAM: An API Package Recommendation Model Based on the Graph Representation Learning Method. In: Hacid H., Kao O., Mecella M., Moha N., Paik H. (eds) Service-Oriented Computing. ICSOC 2021.
Nengjun Zhu and Jian Cao: Enhancing Cross-domain Recommendation through Preference Structure Information Sharing [C]// IEEE International Conference on Web Services (ICWS). IEEE, 2020
Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, and Hui Xiong: Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation [C]// The 13th International Conference on Web Search and Data Mining (WSDM), pp. 807-815. 2020.
Jian Cao, Xiaofu Huang, Qing Qi: Selecting Publishing Points for the Optimal Sharing of Predictive Monitoring Information of a Service Process [C]// The 26th IEEE International Conference on Web Services (ICWS 2019), Milan, Italy, July 8-13, 2019: 368-372
Lanxuan Tong, Jian Cao, Qing Qi, Shiyou Qian: AIMS: A Predictive Web API Invocation Behavior Monitoring System [C]//The 26th IEEE International Conference on Web Services (ICWS 2019), Milan, Italy, July 8-13, 2019: 373-382
Shiyou Qian, Weichao Mao, Jian Cao, Frederic Le Mouel, Minglu Li: Adjusting Matching Algorithm to Adapt to Workload Fluctuations in Content-based Publish/Subscribe Systems [C]// 2019 IEEE International Conference on Computer Communications (INFOCOM 2019), Paris, France, 29 April - 2 May, 2019: 1936-1944
Yan Yao, Jian Cao, Zitai Ma: A Cost-Effective Deadline-Constrained Scheduling Strategy for a Hyperparameter Optimization Workflow for Machine Learning Algorithms [C]// The 16 th International Conference on Service-Oriented Computing (ICSOC 2018), HangZhou, China, November 12-15, 2018: 870-878
Jian Cao, Yuchang Xu, Huisi Ou, Yudong Tan, Quan-Wu Xiao: PFS: A Personalized Flight Recommendation Service via Cross-Domain Triadic Factorization [C]// The 25th IEEE International Conference on Web Services (ICWS 2018), San Francisco, USA, July 2 - 7, 2018: 249-256
Yuchang Xu, Jian Cao, Tao Liu, Yudong Tan, Quan-Wu Xiao: When to Invoke a Prediction Service? A Reinforcement Learning-Based Approach [C]//. The 25th IEEE International Conference on Web Services (ICWS 2018), San Francisco, USA, July 2 - 7, 2018: 315-318
Chenyang Liu, Jian Cao, Jing He: Leveraging Kernel Incorporated Matrix Factorization for Smartphone Application Recommendation [C]// The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), Suzhou, China, March 27-30, 2017: 459-474
Yiqun Hua, Jian Cao, Qi Gu, Yudong Tan: PD-TRP: A Service Composition Approach for the Personalized and Optimized Door-to-Door Travel Plan Recommendation [C]// 2017 IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA, June 25-30, 2017: 768-775
Yan Yao, Jian Cao, Yusheng Jiang: EWS: A Pattern Prediction-Based Elastic Workflow Service in the Cloud [C]// 2017 IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA, June 25-30, 2017: 784-791
Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu: Diversifying Personalized Recommendation with User-session Context [C]// The 26th International Joint Conference on Artificial Intelligence (IJCAI2017), Melbourne, Australia, August 19-25, 2017: 1858-1864
Zhenni Feng, Yanmin Zhu, Jian Cao: Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations [C]// The Tenth ACM International Conference on Web Search and Data Mining (WSDM2017), Cambridge, UK, February 6-10, 2017: 611-620
承担项目

实验室承担多项国家、省、市重点项目,代表性项目如下:

在研
已结题