J. Liu, C. Zhang, J. Qian, M. Ma, S. Qin, C. Bansal, Q. Lin, S. Rajmohan, and D. Zhang. "Large language models can deliver accurate and interpretable time series anomaly detection," in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, ON, August 2025. SIGKDD'25 Applied Data Science Track.

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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in 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," in Proceedings of the IEEE International Conference on Microwave and Millimeter Wave Technology, Shenzhen, China, May 2012. ICMMT'12. (Best Student Paper Award)

C. Zhang, S. He, J. Qian, B. Li, L. Li, S. Qin, Y. Kang, M. Ma, G. Liu, Q. Lin, S. Rajmohan, D. Zhang, and Q. Zhang. "Large language model-brained GUI agents: a survey." Transactions on Machine Learning Research. June 2025.

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.