Követés
Xiaofeng Hou
Xiaofeng Hou
Shanghai Jiao Tong University
E-mail megerősítve itt: ust.hk
Cím
Hivatkozott rá
Hivatkozott rá
Év
Power attack defense: Securing battery-backed data centers
C Li, Z Wang, X Hou, H Chen, X Liang, M Guo
ACM SIGARCH Computer Architecture News 44 (3), 493-505, 2016
532016
AlphaR: Learning-powered resource management for irregular, dynamic microservice graph
X Hou, C Li, J Liu, L Zhang, S Ren, J Leng, Q Chen, M Guo
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
242021
ANT-Man: Towards agile power management in the microservice era
X Hou, C Li, J Liu, L Zhang, Y Hu, M Guo
SC20: International Conference for High Performance Computing, Networking …, 2020
222020
Tapping into nfv environment for opportunistic serverless edge function deployment
L Zhang, W Feng, C Li, X Hou, P Wang, J Wang, M Guo
IEEE Transactions on Computers 71 (10), 2698-2704, 2021
152021
Fine-grained machine teaching with attention modeling
J Liu, X Hou, F Tang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2585-2592, 2020
152020
Dataclue: A benchmark suite for data-centric nlp
L Xu, J Liu, X Pan, X Lu, X Hou
arXiv preprint arXiv:2111.08647, 2021
142021
Unleashing the scalability potential of power-constrained data center in the microservice era
X Hou, J Liu, C Li, M Guo
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
132019
Power grab in aggressively provisioned data centers: What is the risk and what can be done about it
X Hou, L Hao, C Li, Q Chen, W Zheng, M Guo
2018 IEEE 36th International Conference on Computer Design (ICCD), 26-34, 2018
122018
Architecting efficient multi-modal aiot systems
X Hou, J Liu, X Tang, C Li, J Chen, L Liang, KT Cheng, M Guo
Proceedings of the 50th Annual International Symposium on Computer …, 2023
102023
Characterizing and understanding end-to-end multi-modal neural networks on gpus
X Hou, C Xu, J Liu, X Tang, L Sun, C Li, KT Cheng
IEEE Computer Architecture Letters 21 (2), 125-128, 2022
102022
Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities
R Zeng, X Hou, L Zhang, C Li, W Zheng, M Guo
Frontiers of Computer Science 16 (6), 166106, 2022
82022
Exploring efficient microservice level parallelism
X Wang, C Li, L Zhang, X Hou, Q Chen, M Guo
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
72022
Integrated power anomaly defense: Towards oversubscription-safe data centers
X Hou, C Li, J Yang, W Zheng, X Liang, M Guo
IEEE Transactions on Cloud Computing 10 (3), 1875-1887, 2020
32020
When power oversubscription meets traffic flood attack: Re-thinking data center peak load management
X Hou, M Liang, C Li, W Zheng, Q Chen, M Guo
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
32019
Optimizing GPU-Based Graph Sampling and Random Walk for Efficiency and Scalability
P Wang, C Xu, C Li, J Wang, T Wang, L Zhang, X Hou, M Guo
IEEE Transactions on Computers 72 (9), 2508-2521, 2023
22023
Mmexit: Enabling fast and efficient multi-modal dnn inference with adaptive network exits
X Hou, J Liu, X Tang, C Li, KT Cheng, L Li, M Guo
European Conference on Parallel Processing, 426-440, 2023
12023
Cloud-native server consolidation for energy-efficient faas deployment
L Zhang, Y Pu, C Xu, D Liu, Z Lin, X Hou, P Yang, S Yue, C Li, M Guo
IFIP International Conference on Network and Parallel Computing, 120-126, 2022
12022
Analyzing the Hardware-Software Implications of Multi-Modal Dnn Workloads Using Mmbench
X Hou, C Xu, J Liu, X Tang, L Sun, C Li, KT Cheng
Available at SSRN 4303511, 2022
12022
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
J Mei, S Sun, C Li, C Xu, C Chen, Y Liu, J Wang, C Zhao, X Hou, M Guo, ...
arXiv preprint arXiv:2404.08364, 2024
2024
Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse
J Liu, F Tang, Z Zheng, H Liu, X Hou, L Chen, M Gao, J Yu, Y Zhu
IEEE Journal on Selected Areas in Communications, 2023
2023
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