About
Si Qin is a Principal Researcher and Research Manager in the Data, Knowledge, and Intelligence (DKI) area of Microsoft AI. Since joining Microsoft Research Asia (MSRA) in November 2018, he has been dedicated to advancing AI for IT Operations (AIOps), focusing on leveraging signal processing, machine learning, and optimization technologies to develop high-quality cloud services. In June 2024, Si Qin joined Microsoft AI, where his research and applied science efforts have centered on developing large language model (LLM)-based retrieval-augmented generation (RAG) systems and agent frameworks. These include the widely recognized open-source projects Taskweaver and UFO.
At Microsoft, Si Qin has earned notable recognition, including the Distinguished Contribution Award at the 2021 Microsoft Machine Learning, AI, and Data Science (MLADS) Conference. The research technologies have been successfully transferred into multiple Microsoft product divisions, such as Microsoft Azure, Office 365, Bing, and SharePoint. His team has also been honored with the Best Tech Transfers of the Year Award at MSRA and the Team Award at Microsoft Asia-Pacific R&D.
Currently a Senior Member of IEEE, Si Qin conducted research in array signal processing and received his Ph.D. in Electrical Engineering from Villanova University in 2016 under the guidance of Prof. Yimin D. Zhang and Prof. Moeness G. Amin. Before joining MSRA, he worked on speech signal processing at Sogou and Didi between 2016 and 2018. Si Qin's academic achievements include several prestigious awards, such as the Best Student Paper Award at the 2012 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT), the First Prize in the Student Paper Competition at the 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-systems (BenMAS), the 2018 Young Author Best Paper Award from the IEEE Signal Processing Society, and the 2021 Best Paper Award from the European Association for Signal Processing (EURASIP).
秦思是微软数据、知识与智能（DKI）组的首席研究经理。自2018年11月加入微软亚洲研究以来，他始终致力于推动AI在智能运维（AIOps）中的创新应用，专注于通过信号处理、机器学习和优化技术开发高质量的云服务。 2024年6月，秦思加入微软人工智能团队，进一步将研究重点聚焦于基于大语言模型（LLM）的检索增强生成（RAG）系统和智能体框架的研发工作。他所在团队开发的开源项目 Taskweaver 和 UFO 在业内享有广泛认可，并取得了显著成果。 在微软，秦思荣获了2021年微软机器学习、人工智能与数据科学大会（MLADS）"杰出贡献奖"。他研发的技术已成功转化并应用于多个微软产品部门，包括 Microsoft Azure、Office 365、Bing 和 SharePoint。他和所在团队因此获得了"微软亚洲研究院年度最佳技术转化奖"以及"微软亚太研发团队奖"。
秦思目前是IEEE高级会员，他曾于2016年在维拉诺瓦大学（Villanova University）获得电气工程博士学位，师从Yimin D. Zhang教授和 Moeness G. Amin 教授。在加入微软亚洲研究院之前，他于2016年至2018年间在搜狗和滴滴从事语音信号处理研究。 秦思曾多次获得国际学术奖，包括：2012年IEEE国际微波与毫米波技术会议（ICMMT）"最佳学生论文奖"，2014年IEEE本杰明·富兰克林微波与天线子系统研讨会（BenMAS）"学生论文竞赛一等奖"，2018年IEEE信号处理学会"青年作者最佳论文奖"，以及2021年欧洲信号处理协会（EURASIP）"最佳论文奖"。
Team Features
"微软华人团队最新研究：从LLM到LAM，让大模型真正具有「行动力」！", 新智元, 01/2025
"无直接数据可用，AI怎么学会「干活」？微软团队揭秘AI从语言到行动的进化之路", 机器之心, 01/2025
"引领人机交互革命？微软研究团队发布80页的大模型GUI智能体综述", 机器之心, 01/2025
"Advancing Memory Leak Detection with AIOps - Introducing RESIN", Microsoft Azure Blog, 04/2024
"下一代Windows系统曝光：基于GPT-4V，Agent跨应用调度，代号UFO", 量子位, 02/2024
"TaskWeaver: A code-first Agent Framework for Efficient Data Analytics and Domain Adaptation", Microsoft Research Blog, 01/2024
"Boosting Cloud Efficiency: Harnessing Data-Driven Decision-Making and Optimization Techniques", Microsoft System Innovation Research Blog, 12/2023
"Advancing Anomaly Dtection with AIOps - Introducing AiDice", Microsoft Azure Blog, 03/2022
Research
Journal Articles
X. Sun, H. Cheng, H. Dong, B. Qiao, S. Qin, and Q. Lin. "Counter-empirical attacking based on adversarial reinforcement learning for time-relevant scoring system." IEEE Transactions on Knowledge and Data Engineering. December 2023.
Z. Mao, S. Liu, S. Qin, and Y. Huang. "Cramér-Rao bound of joint DOA-range estimation for coprime frequency diverse arrays." Remote Sensing, January 2022.
S. Qin, Y. D. Zhang, and M. G. Amin. "Improved two-dimensional DOA estimation using parallel coprime arrays." Signal Processing, July 2020.
K. Xu, Y. Wang, L. Yang, Y. Wang, B. Qiao, S. Qin, Y. Xu, H. Zhang, and H. Qu. "CloudDet: Interactive visual analysis of anomalous performances in cloud computing systems." IEEE Transactions on Visualization and Computer Graphics, January 2020.
S. Qin, Y. D. Zhang, M. G. Amin, and F. Gini. "Frequency diverse coprime arrays with coprime frequency offsets for multitarget localization." IEEE Journal of Selected Topics in Signal Processing, March 2017.
S. Qin, Y. D. Zhang, and M. G. Amin. "DOA estimation of mixed coherent and uncorrelated targets exploiting coprime MIMO radar." Digital Signal Processing, February 2017.
S. Qin, Y. D. Zhang, M. G. Amin, and A. M. Zoubir. "Generalized coprime sampling of Toeplitz matrices for spectrum estimation." IEEE Transactions on Signal Processing, January 2017.
S. Qin, Y. D. Zhang, and M. G. Amin. "DOA estimation exploiting a uniform linear array with multiple co-prime frequencies." Signal Processing, vol. 130, pp. 37-46, January 2017. (2021 EURASIP Best Paper Award)
S. Qin, Q. Wu, Y. D. Zhang, and M. G. Amin. "Structure-aware Bayesian compressive sensing for near-field source localization based on sensor-angle distributions." International Journal of Antennas and Propagation, April 2015.
S. Qin, Y. D. Zhang, and M. G. Amin. "Generalized coprime array configurations for direction-of-arrival estimation." IEEE Transactions on Signal Processing, vol. 63, no. 6, pp. 1377-1390, January 2015. (IEEE Signal Processing Society 2018 Young Author Best Paper Award)
X. Ma, S. Qin, W. Sheng, H. Wang, and X. Ni. "Development of digital T/R module for X-band digital array radar." Journal of Nanjing University of Science and Technology, July 2013.
Conference Papers
C. Zhang, Z. Ma, Y. Wu, S. He, S. Qin, M. Ma, X. Qin, Y. Kang, Y. Liang, X. Gou, Y. Xue, Q. Lin, S. Rajmohan, D. Zhang, and Q. Zhang. "AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models." Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong, China, May 2025. ICDE'25.
L. Wang, M. Das, F. Yang, B. Qiao, H. Dong, S. Qin, V. Rühle, C. Bansal, E. Cortez, Í. Goiri, S. Rajmohan, Q. Lin, and D. Zhang. "ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In the Cloud." Proceedings of the 8th Annual Conference on Machine Learning and Systems, Santa Clara, CA, USA, May 2025. MLSys'25.
C. Zhang, L. Li, S. He, X. Zhang, B. Qiao, S. Qin, M. Ma, Y. Kang, Q. Lin, S. Rajmohan, D. Zhang, and Q. Zhang. "UFO: A UI-Focused Agent for Windows OS Interaction." Proceedings of 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Albuquerque, NM, USA, April 2025. NAACL'25.
Y. Zhang, P. Xiao, L. Wang, C. Zhang, M. Fang, Y. Du, Y. Puzyrev, R. Yao, S. Qin, Q. Lin, M. Pechenizkiy, D. Zhang, S. Rajmohan, and Q. Zhang. "RuAG: Learned-rule-augmented Generation for Large Language Models." Proceedings of the 2025 International Conference on Learning Representations, Singapore, Singapore, April 2025. ICLR'25.
C. Zhang, R. Yao, S. Qin, Z. Li, S. Agrawal, B. R. Mishra, T. Tran, M. Ma, Q. Lin, M. Chintalapati, and D. Zhang. "Deoxys: a causal inference engine for unhealthy node mitigation in large-scale cloud infrastructure." Proceedings of the 2024 ACM Symposium on Cloud Computing, Redmond, WA, USA, November 2024. SOCC'24.
L. Wang, M. Das, F. Yang, C. Du, B. Qiao, H. Dong, C. Bansal, S. Qin, S. Rajmohan, Q. Lin, D. Zhang, and Q. Zhang. "COIN: chance-constrained imitation learning for safe and adaptive resource oversubscription under uncertainty." Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, Boise, Idaho, USA, October 2024. CIKM'24.
R. Ding, C. Zhang, L. Wang, Y. Xu, M. Ma, W. Zhang, S. Qin, S. Rajmohan, Q. Lin, and D. Zhang. "Everything of Thoughts: defying the law of Penrose Triangle for thought generation." Findings of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 2024. Finding of ACL'24.
Z. Yu, M. Ma, C. Zhang, S. Qin, Y. Kang, C. Bansal, S. Rajmohan, Y. Dang, C. Pei, D. Pei, Q. Lin, and D. Zhang. "MonitorAssistant: simplifying cloud service monitoring via large language models." Companion Proceedings of the 32nd ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 2024. ESEC/FSE'24 Industry Track.
Y. Jiang, C. Zhang, S. He, Z. Yang, M. Ma, S. Qin, Y. Kang, Y. Dang, S. Rajmohan, Q. Lin, and D. Zhang. "Xpert: empowering incident management with query recommendations via large language models." Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, Lisbon, Portugal, April 2024. ICSE'24.
H. Li, M. Ma, Y. Liu, S. Qin, B. Qiao, R. Yao, H. Chaturvedi, T. Tran, M. Chintalapati, S. Rajmohan, Q. Lin, and D. Zhang. "CODEC: cost-effective duration prediction system for deadline scheduling in the cloud." Proceedings of the IEEE 34th International Symposium on Software Reliability Engineering, Florence, Italy, October 2023. ISSRE'23.
X. Qin, M. Ma, Y. Zhao, J. Zhang, C. Du, Y. Liu, A. Parayil, C. Bansal, S. Rajmohan, I. Goiri, E. Cortez, S. Qin, Q. Lin, and D. Zhang. "How different are the cloud workloads? Characterizing large-scale private and public cloud workloads." Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Porto, Portugal, June 2023. DSN'23.
J. Sheng, L. Wang, Y. Fang, B. Qiao, H. Dong, X. Wang, B. Jin, J. Wang, S. Qin, S. Rajmohan, Q. Lin, and D. Zhang. "Learning cooperative oversubscription for cloud by chance-constrained multi-agent reinforcement learning." Proceedings of the ACM Web Conference 2023, Austin, TX, April 2023. WWW'23.
H. Liu, P. Zhang, S. Qin, Y. Shi, M. Xu, Q. Lin, and D. Zhang. "HAPENS: Hardness-personalized negative sampling for implicit collaborative filtering." Companion Proceedings of the ACM Web Conference 2023, Austin, TX, April 2023. WWW'23 Industry Track.
T. Cheng, H. Dong, L. Wang, B. Qiao, S. Qin, Q. Lin, D. Zhang, S. Rajmohan, and T. Moscibroda. "Multi-Agent reinforcement learning with shared policy for cloud quota management problem." Companion Proceedings of the ACM Web Conference 2023, Austin, TX, April 2023. WWW'23 Industry Track.
F. Yang, L. Wang, Z. Xu, J. Zhang, L. Li, B. Qiao, C. Couturier, C. Bansal, S. Ram, S. Qin, Z. Ma, I. Goiri, E. Cortez, T. Yang, V. Rühle, S. Rajmohan, Q. Lin, and D. Zhang. "Snape: Reliable and low-cost computing with mixture of spot and on-demand VMs." Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Vancouver, Canada, March 2023. ASPLOS'23.
J. Yan, Y. Lu, L. Chen, S. Qin, Y. Fang, Q. Lin, T. Moscibroda, S. Rajmohan, and D. Zhang. "Solving the batch stochastic bin packing problem in cloud: A chance-constrained optimization approach." Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, August 2022. SIGKDD'22.
C. Lou, C. Chen, P. Huang, Y. Dang, S. Qin, X. Yang, X. Li, Q. Lin, and M. Chintalapati. "RESIN: A holistic service for dealing with memory leaks in production cloud infrastructure." Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, Carlsbad, CA, July 2022. OSDI'22.
F. Yang, B. Pang, J. Zhang, B. Qiao, L. Wang, C. Couturier, C. Bansal, S. Ram, S. Qin, Z. Ma, Í. Goiri, E. Cortez, S. Baladhandayutham, V. Rühle, S. Rajmohan, Q. Lin, and D. Zhang. "Spot virtual machine eviction prediction in Microsoft cloud." Companion Proceedings of the ACM Web Conference 2022, Lyon, France, April 2022. WWW'22 Industry Track.
H. Dong, S. Qin, Y. Xu, B. Qiao, S. Zhou, X. Yang, C. Luo, P. Zhao, Q. Lin, H. Zhang, A. Abuduweili, S. Ramanujan, K. Subramanian, A. Zhou, S. Rajmohan, D. Zhang, and T. Moscibroda. "Effective low capacity status prediction for cloud systems." Companion Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 2021. ESEC/FSE'21 Industry Track.
X. Zhang, Y. Xu, S. Qin, S. He, B. Qiao, Z. Li, H. Zhang, X. Li, Y. Dang, Q. Lin, M. Chintalapati, S. Rajmohan, and D. Zhang. "Onion: identifying incident-indicating logs for cloud systems." Companion Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 2021. ESEC/FSE'21 Industry Track.
X. Zhang, C. Du, Y. Li, Y. Xu, H. Zhang, S. Qin, Z. Li, Q. Lin, Y. Dang, A. Zhou, S. Rajmohan, and D. Zhang. "HALO: Hierarchy-aware fault localization for cloud systems." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, Singapore, August 2021. SIGKDD'21 Applied Data Science Track.
H. Dong, B. Wang, B. Qiao, W. Xing, C. Luo, S. Qin, Q. Lin, D. Zhang, G. Virdi, and T. Moscibroda. "Predictive job scheduling under uncertain constraints in cloud computing." Proceedings of the 30th International Joint Conference on Artificial Intelligence, Montreal, Canada, August 2021. IJCAI'21.
J. Gu, C. Luo, S. Qin, B. Qiao, Q. Lin, H. Zhang, Z. Li, Y. Dang, S. Cai, W. Wu, Y. Zhou, M. Chintalapati, and D. Zhang. "Efficient incident identification from multi-dimensional issue reports via meta-heuristic search." Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Sacramento, CA, November 2020. ESEC/FSE'20.
X. Zhang, Q. Lin, Y. Xu, S. Qin, H. Zhang, B. Qiao, Y. Dang, X. Yang, Q. Cheng, M. Chintalapati, Y. Wu, K. Hsieh, K. Sui, X. Meng, Y. Xu, W. Zhang, F. Shen, and D. Zhang. "Cross-dataset time series anomaly detection for cloud systems." Proceedings of the 2019 USENIX Annual Technical Conference, Renton, WA, July 2019. USENIX ATC'19.
S. Qin, Y. D. Zhang, and M. G. Amin. "Two-dimensional DOA estimation using parallel coprime subarrays." Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, Rio de Janeiro, Brazil, July 2016. SAM'16.
B. Wang, Y. D. Zhang, S. Qin, and M. G. Amin. "Robust nonstationary jammer mitigation for GPS receivers with instantaneous frequency error tolerance." Proceedings of the SPIE Commercial+ Scientific Sensing and Imaging Conference, Baltimore, MD, May 2016. SPIE'16.
S. Liu, Y. D. Zhang, T. Shan, S. Qin, and M. G. Amin. "Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation." Proceedings of the SPIE Commercial+ Scientific Sensing and Imaging Conference, Baltimore, MD, May 2016. SPIE'16.
S. Qin, Y. D. Zhang, and M. G. Amin. "Sparsity-based multi-target localization exploiting frequency diverse array radar with coprime array and coprime frequency offset." Proceedings of the IEEE Radar Conference, Philadelphia, PA, May 2016. RadarCon'16.
S. Qin, Y. D. Zhang, M. G. Amin, and A. M. Zoubir. "Generalized coprime sampling of Toeplitz matrices." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, March 2016. ICASSP'16.
S. Qin, Y. D. Zhang, and M. G. Amin. "Sparsity-based multi-target localization exploiting multi-frequency coprime array." Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, Chengdu, China, July 2015. ChinaSIP'15.
S. Qin, Y. D. Zhang, and M. G. Amin. "High-resolution frequency estimation using generalized coprime sampling." Proceedings of the SPIE Mobile Multimedia/Image Processing, Security, and Applications Conference, Baltimore, MD, May 2015. SPIE'15.
Y. D. Zhang, S. Qin, and M. G. Amin. "Near-field source localization based on sparse reconstruction of sensor-angle distribution." Proceedings of the IEEE International Radar Conference, Arlington, VA, May 2015. RadarCon'15.
S. Qin, Y. D. Zhang, Q. Wu, and M. G. Amin. "DOA estimation of non-parametric spreading spatial spectrum based on Bayesian compressive sensing exploiting intra-task dependency." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brisbane, Australia, April 2015. ICASSP'15.
S. Qin, Y. D. Zhang, and M. G. Amin. "DOA estimation of mixed coherent and uncorrelated signals exploiting a nested MIMO system." Proceedings of the IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-systems, Philadelphia, PA, September 2014. BenMAS'14. (First Prize of Student Paper Competition)
S. Qin, Y. D. Zhang, Q. Wu, and M. G. Amin. "Large-scale sparse reconstruction through partitioned compressive sensing." Proceedings of the International Conference on Digital Signal Processing, Hong Kong, China, August 2014. DSP'14.
S. Qin, Y. D. Zhang, and M. G. Amin. "Generalized coprime array configurations." Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, A Coruña, Spain, June 2014. SAM'14.
S. Qin, Y. D. Zhang, and M. G. Amin. "DOA estimation exploiting coprime frequencies." Proceedings of the SPIE Wireless Sensing, Localization, and Processing Conference, vol. 9103, Baltimore, MD, May 2014. SPIE'14.
Y. D. Zhang, S. Qin, and M. G. Amin. "DOA estimation exploiting coprime arrays with sparse sensor spacing." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014. ICASSP'14.
S. Qin, X. Ma, and W. Sheng. "Design and measurement of channel calibration for digital array with orthogonal codes." Proceedings of the IEEE International Conference on Microwave and Millimeter Wave Technology, Shenzhen, China, May 2012. ICMMT'12. (Best Student Paper Award)
Chinese Patents
秦思, 赵成帅. "一种声源定位方法、装置和用于声源定位的装置." 北京搜狗科技发展有限公司，CN110133594A, 2018年2月申请，2019年8月发布，2023年4月授权.
秦思, 赵成帅. "一种声源测向方法、装置和用于声源测向的装置." 北京搜狗科技发展有限公司，CN110133595A, 2018年2月申请，2019年8月发布，2023年5月授权.
沙永涛, 贾朝阳, 秦思. "一种数据处理方法及装置." 北京嘀嘀无限科技发展有限公司，CN111339371A, 2018年12月申请，2020年6月发布, 2023年8月授权.
沙永涛, 秦思, 张毅, 宋辉. "语音信号处理方法、系统、装置、设备和计算机存储介质." 北京嘀嘀无限科技发展有限公司，CN110782887A, 2019年3月申请，2020年2月发布.
English Patents
Y. Zhang, H. Song, Y. Sha, and S. Qin. "Speech communication system and method for improving speech intelligibility." Beijing Didi Infinity Technology and Development Co Ltd, US11227622B2, Application: 2018.12, Publication: 2021.7, Granted: 2022.1.
C. Chen, X. Yang, Y. Dang, and S. Qin. "Diagnosing and mitigating memory leak in computing nodes." Microsoft, US11269748B2, Application: 2020.4, Publication: 2021.10, Granted: 2022.3.
S. Zhou, J. L. Miller, C. Cowdery, T. Moscibroda, S. Kemburu, Y. Xu, S. Qin, Q. Lin, E. Cortez, and K. Subramanian. "Allocating cloud resources in accordance with predicted deployment growth." Microsoft, US11652720B2, Application: 2019.9, Publication: 2020.12, Granted: 2023.5.
B. Qiao, C. Du, S. Agarwal, L. R. Rodriguez, K. Subramanian, Q. Lin, J. Chen, T. Moscibroda, S. Qin and N. Sheth. "Automated recovery of stranded resources within a cloud computing environment." Microsoft, LU500944B1, Application: 2021.12, Granted: 2023.6.
S. Zhou, S. Agarwal, K. Subramanian, T. Moscibroda, P. N. Selvaraj, S. Ramji, S. Iftimie, N. Sheth, W. Gu, A. Mani, S. Qin, Y. Xu, and Q. Lin. "Predicting expansion failures and defragmenting cluster resources." Microsoft, US20210389894A1, Application: 2020.6, Publication: 2021.12, Granted: 2023.8.
Y. Yang, G. Virdi, B. Qiao, H. Dong, K. Subramanian, M. Lalic, S. Zhou, S. Qin, T. Moscibroda, and Y. Mohammed. "Allocating computing resources for deferrable virtual machines." Microsoft, US20220327002A1, Application: 2021.4, Publication: 2022.10, Granted: 2024.4.
S. Zhou, K. Subramanian, Y. Dang, T. Moscibroda, Q. Lin, S. Qin, and Y. Xu. "Predicting virtual machine allocation failures on server node clusters." Microsoft, WO2020206699A1, Application: 2019.4, Publication: 2020.10.
R. M. Narayanamurthy, Y. YU, Y. Fang, S. Qin, J. Yan, M. Huang, T. Shen, Q. Lin, and X. Zheng. "Efficiency engine in a cloud computing architecture." Microsoft, WO2023039711A1, Application: 2021.9, Publication: 2023.3.
S. Ram, P. T. Stephenson, A. D. Fischer, M. Sayed, R. E. Minneker, E. Cortex, F. V. Frujeri, I. G. Presa, S. M. Panjwani, Y. Wang, C. J. Couturier, J. Zhang, Y. Fang, S. Qin, Q. Lin, C. Bansal, B. Pang, and V. Gupta. "System and method of dynamically adjusting virtual machines for a workload." Microsoft, US20230401103A1, Application: 2022.6, Publication: 2023.12.
H. Zhang, H. Dong, Z. Lin, S. Patel, B. Qiao, S. Qin, X. Qu, T. Yang, and Y. Yu. "Autonomous quota management for shared resources." Microsoft, WO2024055139A1, Application: 2022.9, Publication: 2024.3.
L. Wang, M. Das, F. Yang, H. Dong, B. Qiao, Y. Liu, S. Qin, V. J. Ruehle, C. Bansal, and Q. Lin. "Oversubscription reinforcement learner." Microsoft, WO2024050824A1, Application: 2022.9, Publication: 2024.3.
M. Verma, J. Hoachuck, Q. Lin, P. Rani, N. Jain, R. Namineni, J. Wong, S. Qin, Y. Kang, J. Ding, Y. Dang, J. Zhang, B. Qiao, and K. Bath. "Detecting systemwide service issues by using anomaly localization." Microsoft, US20240143433A1, Application: 2022.10, Publication: 2024.5.