Zhiqi Lin

According to our database, Zhiqi Lin authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Efficient Schedule Construction for Distributed Execution of Large DNN Models.

Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang

IEEE Trans. Parallel Distributed Syst., December, 2024

Adaptive Time-Varying Routing for Energy Saving and Load Balancing in Wireless Body Area Networks.

Zhiqi Lin, Xuxun Liu, Huan Zhou, Jie Wu

IEEE Trans. Mob. Comput., January, 2024

Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations.

Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley

CoRR, 2024

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling.

Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley

CoRR, 2024

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training.

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

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search.

Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation.

Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction.

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

CoRR, 2023

2021

Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs.

Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu

IEEE Trans. Parallel Distributed Syst., 2021

Flexible high-resolution object detection on edge devices with tunable latency.

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Accelerating GNN training with locality-aware partial execution.

Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong

Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

2020

PaGraph: Scaling GNN training on large graphs via computation-aware caching.

Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX.

Taegyeong Lee, Zhiqi Lin, Saumay Pushp, Caihua Li, Yunxin Liu, Youngki Lee, Fengyuan Xu, Chenren Xu, Lintao Zhang, Junehwa Song

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2014

LED Virtual Simulation based on Web3D.

Lilan Liu, Liu Han, Zhiqi Lin, Manping Li, Tao Yu

J. Multim., 2014