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ORCIDZhiqi Lin
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2020 – today
- 2024
[j4]Zhiqi Lin, Xuxun Liu
, Huan Zhou, Jie Wu:
Adaptive Time-Varying Routing for Energy Saving and Load Balancing in Wireless Body Area Networks. IEEE Trans. Mob. Comput. 23(1): 90-101 (2024)- [j3]Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang:
Efficient Schedule Construction for Distributed Execution of Large DNN Models. IEEE Trans. Parallel Distributed Syst. 35(12): 2375-2391 (2024) - [c7]Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang:
Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. EuroSys 2024: 163-181 - [c6]Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang:
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA 2024: 803-816 - [c5]Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou:
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 2024: 347-363 - [i4]Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley:
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling. CoRR abs/2408.03746 (2024) - [i3]Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley:
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations. CoRR abs/2408.06069 (2024) - 2023
- [i2]Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou:
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR abs/2301.08984 (2023) - [i1]Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang:
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR abs/2311.15269 (2023) - 2021
- [j2]Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu:
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. 32(10): 2541-2556 (2021) - [c4]Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong:
Accelerating GNN training with locality-aware partial execution. APSys 2021: 34-41 - [c3]Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu:
Flexible high-resolution object detection on edge devices with tunable latency. MobiCom 2021: 559-572 - 2020
- [c2]Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu:
PaGraph: Scaling GNN training on large graphs via computation-aware caching. SoCC 2020: 401-415
2010 – 2019
- 2019
- [c1]Taegyeong Lee, Zhiqi Lin, Saumay Pushp, Caihua Li, Yunxin Liu, Youngki Lee, Fengyuan Xu, Chenren Xu, Lintao Zhang, Junehwa Song:
Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX. MobiCom 2019: 46:1-46:17 - 2014
- [j1]Lilan Liu, Liu Han, Zhiqi Lin, Manping Li, Tao Yu:
LED Virtual Simulation based on Web3D. J. Multim. 9(1): 43-50 (2014)
Coauthor Index
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