Biography:
Yunlong Cheng earned the B.E. degree in Computer Science and Technology from Shanghai Jiao Tong University, China, in 2021. Presently, he is pursuing a PhD in Computer Science and Technology at Shanghai Jiao Tong University, under the supervision of Prof. Xiaofeng Gao. His research interest focuses on data mining, prediction, and scheduling algorithms within the context of cloud services. Presently, he aims to optimize resource efficiency in the cloud while ensuring user satisfaction using machine learning and algorithmic techniques.
Research Interests:
Cloud Computing, Data Mining, Prediction, Scheduling Algorithms.
Publications:
- Yunlong Cheng, Hongji Dong, Tianyao Shi, Xiaofeng Gao and Guihai Chen, An Interference-Aware QoS Violation Alleviation Framework for Multi-Tenancy Public Clouds, 2025. (Preparing for submission to TPDS)
- Jiaxi Wu*, Yunlong Cheng*, Jibin Wang, Wenquan Yang, Xiaofeng Gao and Guihai Chen, Online Virtual Machine Provisioning under Uncertainty: A Robust Approach to Ultimate Resource Utilization, submitted to IEEE Transactions on Cybernetics, 2025. (Under review)
- Yunlong Cheng, Tin Ping Chan, Jiadong Chen and Xiaofeng Gao, PADMA: Prediction-Aware Dynamic VM Scheduling in Multi-NUMA Clouds with Transformer-based PPO, submitted to INFOCOM, 2026. (Under review)
- Hongji Dong, Yunlong Cheng, Tin Ping Chan, Xiaofeng Gao and Guihai Chen, TRACE: A Targeted Recommender for VM Assignment in Cloud Environment, IEEE International Conference on Cluster Computing (CLUSTER), Edinburgh, Scotland, September 2-5, 2025. (To Appear)
- Jiale Zhang, Yang Luo, Yunlong Cheng, Leixia Wang, Xiaofeng Gao, Xiaochun Yang and Guihai Chen, Timely Watchers: Cost-Effective Schedule for Urban Sensor Patrols , The 19th International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), Tokyo, Japan, June 24-26, 2025. (Best Paper Award)
- Yunlong Cheng, Tianyao Shi, Xiuyuan Wei, Yulong Song, Xiaofeng Gao, Zhipeng Bian and Zhenli Sheng, Predicting Enterprise Users' Consuming Potential for Cloud Services, In 30th International Conference on Database Systems for Advanced Applications (DASFAA), Singapore, May 26-29, 2025.
- Tin Ping Chan, Yunlong Cheng, Yizhan Zhu, Xiaofeng Gao and Guihai Chen, Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling , IEEE International Conference on Computer Communications (INFOCOM), London, United Kingdom, May 19-22, 2025.
- Yunzhe Li, Hongzi Zhu, Zhuohong Deng, Yunlong Cheng, Zimu Zheng, Liang Zhang, Shan Chang and Minyi Guo, A Scene-aware Model Adaptation Scheme for Cross-scene Online Inference on Mobile Devices, IEEE Transactions on Mobile Computing (TMC), 2025.
- Yucen Gao, Yunlong Cheng, Chan Tin Ping, Xiaofeng Gao and Guihai Chen, RL with Balanced Reward and Masking Mechanism for Multi-NUMA Virtual Machine Scheduling, Conference on Ubiquitous Information Management and Communication (IMCOM), Thailand, January 3-5, 2025.
- Yunlong Cheng, Xiuqi Huang, Zifeng Liu, Jiadong Chen, Xiaofeng Gao, Zhen Fang, Yongqiang Yang, FEDGE: An Interference-Aware QoS Prediction Framework for Black-Box Scenario in IaaS Clouds with Domain Generalization , The 38th International Parallel & Distributed Processing Symposium (IPDPS), San Francisco, California, May 27-31, 2024. [Github]
- Yunzhe Li, Hongzi Zhu, Zhuohong Deng, Yunlong Cheng, Liang Zhang, Shan Chang and Minyi Guo, Adapting Diverse Compressed Models for Cross-scene Prediction on Mobile Devices , The 44th International Conference on Distributed Computing Systems (ICDCS), Jersey City, New Jersey, July 23-26, 2024.
- Tianyao Shi, Yingxuan Yang, Yunlong Cheng, Xiaofeng Gao, Zhen Fang and Yongqiang Yang, Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud, In 37th International Parallel and Distributed Processing Symposium (IPDPS), IEEE, St. Petersburg, Florida USA, May 15-19, 2023. [Github]
- Yunlong Cheng, Hao Zhou, Xiaofeng Gao, Jiaqi Zheng, Guihai Chen, Optimizing Incremental SDN Upgrades for Load Balancing in ISP Networks, Theoretical Computer Science (TCS), 962, p.113927, 2023.
- Yunlong Cheng, Hao Zhou, Xiaofeng Gao, Jiaqi Zheng, and Guihai Chen. Incremental SDN Deployment to Achieve Load Balance in ISP Networks. In Algorithmic Aspects in Information and Management: 16th International Conference (AAIM), Guangzhou, China, August 13–14, 278–290, 2022.
- Xiuqi Huang, Yunlong Cheng, Xiaofeng Gao, and Guihai Chen. TEALED: A Multi-Step Workload Forecasting Approach Using Time-Sensitive EMD and Auto LSTM Encoder-Decoder. In Database Systems for Advanced Applications: 27th International Conference (DASFAA), Virtual Event, April 11–14, pp. 706-713, 2022.
Academic Services:
- Volunteer of International Computing and Combinatorics Conference (COCOON 2024) 2024/08
- Volunteer of International Conference on Data Mining (ICDM 2023) 2023/12
- Teaching Assistant of Introduction to Computer Science ("Xuesen Challenge Program") 2023
- External Reviewer of Journals and Conferences
- Journal of Parallel and Distributed Computing (JPDC)
- Theoretical Computer Science (TCS)
- IEEE/ACM Transactions on Networking (TNET)
- IEEE Transactions on Network and Service Management (TNSM)
- CCF National Database Conference (NDBC)
- IEEE International Conference on Big Data (IEEE BigData)
- European Conference on Artificial Intelligence (ECAI)
Last Update: 09/16/2025