| Learning from the Ubiquitous Language: an Empirical Analysis of Emoji Usage of Smartphone Users X Lu, W Ai, X Liu, Q Li, N Wang, G Huang, Q Mei Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 268 | 2016 |
| From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers S Fouladi, F Romero, D Iter, Q Li, S Chatterjee, C Kozyrakis, M Zaharia, ... 2019 USENIX Annual Technical Conference (USENIX ATC 19), 475-488, 2019 | 230 | 2019 |
| INFaaS: Automated Model-less Inference Serving F Romero*, Q Li*, NJ Yadwadkar, C Kozyrakis 2021 USENIX Annual Technical Conference (USENIX ATC 21), 397-411, 2021 | 213* | 2021 |
| Arachne: Core-Aware Thread Management H Qin, Q Li, J Speiser, P Kraft, J Ousterhout Proceedings of the 13th USENIX Symposium on Operating Systems Design and …, 2018 | 131 | 2018 |
| RAMBO: Resource Allocation for Microservices Using Bayesian Optimization Q Li, B Li, P Mercati, R Illikkal, C Tai, M Kishinevsky, C Kozyrakis IEEE Computer Architecture Letters 20 (1), 46-49, 2021 | 42 | 2021 |
| A Case for Managed and Model-less Inference Serving NJ Yadwadkar, F Romero, Q Li, C Kozyrakis Proceedings of the Workshop on Hot Topics in Operating Systems, 184-191, 2019 | 32 | 2019 |
| Interference-Aware Scheduling for Inference Serving D Mendoza, F Romero, Q Li, NJ Yadwadkar, C Kozyrakis Proceedings of the 1st Workshop on Machine Learning and Systems, 80-88, 2021 | 26 | 2021 |
| Exploiting sparsity to accelerate fully connected layers of cnn-based applications on mobile socs X Xie, D Du, Q Li, Y Liang, WT Tang, ZL Ong, M Lu, HP Huynh, RSM Goh ACM Transactions on Embedded Computing Systems (TECS) 17 (2), 1-25, 2017 | 25 | 2017 |
| DBOS: A DBMS-oriented Operating System A Skiadopoulos*, Q Li*, P Kraft*, K Kaffes*, D Hong, S Mathew, D Bestor, ... 48th International Conference on Very Large Data Bases (VLDB 2022), 2022 | 20 | 2022 |
| Enabling high performance deep learning networks on embedded systems Q Li, Q Xiao, Y Liang IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 13 | 2017 |
| Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework P Kraft*, Q Li*, K Kaffes, A Skiadopoulos, D Kumar, D Cho, J Li, ... arXiv preprint arXiv:2208.13068, 2022 | 8 | 2022 |
| Data governance in a database operating system (DBOS) D Kumar, Q Li, J Li, P Kraft, A Skiadopoulos, L Suresh, M Cafarella, ... Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2021 | 6 | 2021 |
| Thousand island scanner (THIS): Scaling video analysis on AWS lambda Q Li, J Hong, D Durst https://github.com/qianl15/this, 2018 | 5* | 2018 |
| R: Record-Replay-Retroaction for Database-Backed Applications Q Li, P Kraft, M Cafarella, Ç Demiralp, G Graefe, C Kozyrakis, ... VLDB 2023, 2023 | 3 | 2023 |
| A Progress Report on DBOS: A Database-oriented Operating System Q Li*, P Kraft*, K Kaffes*, A Skiadopoulos, D Kumar, J Li, M Cafarella, ... CIDR 2022, 2022 | 3 | 2022 |
| Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg S Fouladi, F Romero, D Iter, Q Li, A Ozdemir, S Chatterjee, M Zaharia, ... ;login 44 (Fall 2019), 5-11, 2019 | 3 | 2019 |
| Epoxy: ACID Transactions Across Diverse Data Stores P Kraft, Q Li, X Zhou, P Bailis, M Stonebraker, M Zaharia, X Yu VLDB 2023, 2023 | 1 | 2023 |
| Abstractions for Efficient and Reliable Serverless Computing Q Li Stanford University, 2023 | | 2023 |
| Transactions Make Debugging Easy Q Li, P Kraft, M Cafarella, Ç Demiralp, G Graefe, C Kozyrakis, ... CIDR 2023, 2023 | | 2023 |
| Machine Learning with DBOS R Redmond, NW Weckwerth, BS Xia, Q Li, P Kraft, D Kumar, Ç Demiralp, ... 4th International Workshop on Applied AI for Database Systems and …, 2022 | | 2022 |
Christos KozyrakisStanford University在 stanford.edu 的电子邮件经过验证
