Zan Zong (宗瓒)
An approach for process model extraction by multi-grained text classification
C Qian, L Wen, A Kumar, L Lin, L Lin, Z Zong, S Li, J Wang
Advanced Information Systems Engineering: 32nd International Conference …, 2020
Workload-adaptive configuration tuning for hierarchical cloud schedulers
R Han, CH Liu, Z Zong, LY Chen, W Liu, S Wang, J Zhan
IEEE Transactions on Parallel and Distributed Systems 30 (12), 2879-2895, 2019
Cloudmix: Generating diverse and reducible workloads for cloud systems
R Han, Z Zong, F Zhang, JL Vazquez-Poletti, Z Jia, L Wang
2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 496-503, 2017
{SmartMoE}: Efficiently Training {Sparsely-Activated} Models through Combining Offline and Online Parallelization
M Zhai, J He, Z Ma, Z Zong, R Zhang, J Zhai
2023 USENIX Annual Technical Conference (USENIX ATC 23), 961-975, 2023
Mespaconfig: Memory-sparing configuration auto-tuning for co-located in-memory cluster computing jobs
Z Zong, L Wen, X Hu, R Han, C Qian, L Lin
IEEE Transactions on Services Computing 15 (5), 2883-2896, 2021
Adaptiveconfig: Run-time configuration of cluster schedulers for cloud short-running jobs
R Han, Z Zong, LY Chen, S Wang, J Zhan
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
A swap dominated tensor re-generation strategy for training deep learning models
L Wen, Z Zong, L Lin, L Lin
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training
Z Zong, L Lin, L Lin, L Wen, Y Sun
IEEE Transactions on Parallel and Distributed Systems, 2023
MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses
L Lin, Z Zong, L Wen, C Qian, S Li, J Wang
Database Systems for Advanced Applications: 26th International Conference …, 2021
Scaleplus: towards fast scaling of distributed streaming dataflows
Z Zong, L Wen, X Liu, L Lin, C Qian, L Lin
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020
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