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ORCIDCheng Li 0001
Person information
- affiliation: University of Science and Technology of China (USTC), China
- affiliation (former): Max Planck Institute for Software Systems, Kaiserslautern / Saarbrücken, Germany
Other persons with the same name
- Cheng Li — disambiguation page
- Cheng Li 0002
![[0000-0001-8291-249X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8291-249X")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Clear Water Bay, Hong Kong - Cheng Li 0003 — Deakin University, Center for Pattern Recognition and Data Analytics (PRaDA), Geelong, Australia
- Cheng Li 0004 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communications Technology, China
- Cheng Li 0005 — Memorial University of Newfoundland, Department of Electrical and Computer Engineering, St. John's, NL, Canada
- Cheng Li 0006 — College of William and Mary, Department of Computer Science, Williamsburg, VA, USA
- Cheng Li 0007 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Cheng Li 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, China
- Cheng Li 0009 — SenseTime Research, Beijing, China (and 1 more)
- Cheng Li 0010 — University of California, Davis, CA, USA (and 1 more)
- Cheng Li 0011 — University of Rochester, Department of Electrical and Computer Engineering, NY, USA (and 1 more)
- Cheng Li 0012 — Google, Mountain View, CA, USA (and 1 more)
- Cheng Li 0013 — University of Kent, UK
- Cheng Li 0014 — University of Illinois Urbana-Champaign, IL, USA
- Cheng Li 0015 — Harbin Institute of Technology, Department of Control Science and Engineering, China (and 1 more)
- Cheng Li 0016 — Peking University, Center For Biolnformatics, Beijing, China (and 3 more)
- Cheng Li 0017 — Xidian University, Institute of Intelligent Control and Image Engineering, Xi'an, China
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2020 – today
- 2024
[c33]Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. AAAI 2024: 18490-18498- [c32]Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He:
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. AAAI 2024: 19377-19385 - [c31]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 - 2023
- [c30]Yiduo Wang, Yufei Wu, Cheng Li, Pengfei Zheng, Biao Cao, Yan Sun, Fei Zhou, Yinlong Xu, Yao Wang, Guangjun Xie:
CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections. EuroSys 2023: 331-346 - [c29]Jingbo Su, Jiahao Li, Luofan Chen, Cheng Li, Kai Zhang, Liang Yang, Sam H. Noh, Yinlong Xu:
Revitalizing the Forgotten On-Chip DMA to Expedite Data Movement in NVM-based Storage Systems. FAST 2023: 363-378 - [c28]Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu:
MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. HPCA 2023: 556-569 - [c27]Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan:
DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR 2023 - [c26]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. ICML 2023: 37524-37539 - [c25]Xinyang Shao, Cheng Li, Yinlong Xu:
MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System. ICPADS 2023: 1951-1958 - [c24]Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang:
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. SOSP 2023: 545-561 - [c23]Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li:
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578 - [i7]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) - [i6]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. CoRR abs/2301.12017 (2023) - [i5]Zhewei Yao, Cheng Li, Xiaoxia Wu, Stephen Youn, Yuxiong He:
A Comprehensive Study on Post-Training Quantization for Large Language Models. CoRR abs/2303.08302 (2023) - [i4]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) - 2022
- [j11]Liangliang Xu, Min Lyu, Zhipeng Li, Cheng Li, Yinlong Xu:
A Data Layout and Fast Failure Recovery Scheme for Distributed Storage Systems With Mixed Erasure Codes. IEEE Trans. Computers 71(8): 1740-1754 (2022) - [j10]Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui:
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. 33(3): 489-506 (2022) - [j9]Liangliang Xu, Min Lyu, Qiliang Li, Lingjiang Xie, Cheng Li, Yinlong Xu:
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems. IEEE Trans. Parallel Distributed Syst. 33(10): 2386-2400 (2022) - [c22]Shuang Ma, Si Wu, Cheng Li, Yinlong Xu:
Repair-Optimal Data Placement for Locally Repairable Codes with Optimal Minimum Hamming Distance. ICPP 2022: 23:1-23:11 - [c21]Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He:
DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC 2022: 46:1-46:15 - [i3]Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR abs/2207.00032 (2022) - [i2]Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan:
BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR abs/2207.14696 (2022) - [i1]Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He:
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. CoRR abs/2211.11586 (2022) - 2021
- [j8]Hao Chen, Yubiao Pan, Cheng Li, Yinlong Xu:
ECR: Eviction-cost-aware cache management policy for page-level flash-based SSDs. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j7]Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu:
AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. 14(9): 1517-1530 (2021) - [j6]Ye Lu, Kunpeng Xie, Guanbin Xu, Han Dong, Cheng Li, Tao Li:
MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification. IEEE Trans. Emerg. Top. Comput. 9(4): 1738-1752 (2021) - [j5]Cheng Li, Hao Chen, Chaoyi Ruan, Xiaosong Ma, Yinlong Xu:
Leveraging NVMe SSDs for Building a Fast, Cost-effective, LSM-tree-based KV Store. ACM Trans. Storage 17(4): 27:1-27:29 (2021) - [j4]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) - [c20]Zewen Jin, Yiming Zhu, Jiaan Zhu, Dongbo Yu, Cheng Li, Ruichuan Chen, Istemi Ekin Akkus, Yinlong Xu:
Lessons learned from migrating complex stateful applications onto serverless platforms. APSys 2021: 89-96 - [c19]Hao Chen, Chaoyi Ruan, Cheng Li, Xiaosong Ma, Yinlong Xu:
SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid Storage. FAST 2021: 17-32 - [c18]Yiduo Wang, Cheng Li, Xinyang Shao, Youxu Chen, Feng Yan, Yinlong Xu:
Lunule: an agile and judicious metadata load balancer for CephFS. SC 2021: 47 - [c17]Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu:
Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP 2021: 359-375 - 2020
- [c16]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 - [c15]Liangliang Xu, Min Lv, Zhipeng Li, Cheng Li, Yinlong Xu:
PDL: A Data Layout towards Fast Failure Recovery for Erasure-coded Distributed Storage Systems. INFOCOM 2020: 736-745 - [c14]Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan:
Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS 2020: 419-428
2010 – 2019
- 2019
- [j3]Wenlong Ma, Yuqing Zhu, Cheng Li, Mengying Guo, Yungang Bao:
BiloKey : A Scalable Bi-Index Locality-Aware In-Memory Key-Value Store. IEEE Trans. Parallel Distributed Syst. 30(7): 1528-1540 (2019) - [j2]Youxu Chen, Cheng Li, Min Lv, Xinyang Shao, Yongkun Li, Yinlong Xu:
Explicit Data Correlations-Directed Metadata Prefetching Method in Distributed File Systems. IEEE Trans. Parallel Distributed Syst. 30(12): 2692-2705 (2019) - [c13]A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimisation for Objective Functions with Varying Smoothness. Australasian Conference on Artificial Intelligence 2019: 460-472 - [c12]Hao Chen, Cheng Li, Yubiao Pan, Min Lyu, Yongkun Li, Yinlong Xu:
HCFTL: A Locality-Aware Page-Level Flash Translation Layer. DATE 2019: 590-593 - [c11]Yongkun Li, Chengjin Tian, Fan Guo, Cheng Li, Yinlong Xu:
ElasticBF: Elastic Bloom Filter with Hotness Awareness for Boosting Read Performance in Large Key-Value Stores. USENIX Annual Technical Conference 2019: 739-752 - 2018
- [c10]Yueming Zhang, Yongkun Li, Fan Guo, Cheng Li, Yinlong Xu:
ElasticBF: Fine-grained and Elastic Bloom Filter Towards Efficient Read for LSM-tree-based KV Stores. HotStorage 2018 - [c9]Chi Xu, Cheng Li:
A Flexible Method for Time-of-Flight Camera Calibration Using Random Forest. ICSM 2018: 207-218 - [c8]Caiyin Liu, Min Lv, Yubiao Pan, Hao Chen, Yongkun Li, Cheng Li, Yinlong Xu:
LCR: Load-Aware Cache Replacement Algorithm for Flash-Based SSDs. NAS 2018: 1-10 - [c7]Cheng Li, Nuno M. Preguiça, Rodrigo Rodrigues:
Fine-grained consistency for geo-replicated systems. USENIX Annual Technical Conference 2018: 359-372 - 2016
- [b1]Cheng Li:
Building fast and consistent (geo-)replicated systems: from principles to practice. Saarland University, Saarbrücken, Germany, 2016 - [j1]Valter Balegas, Cheng Li, Mahsa Najafzadeh, Daniel Porto, Allen Clement, Sérgio Duarte, Carla Ferreira, Johannes Gehrke, João Leitão, Nuno M. Preguiça, Rodrigo Rodrigues, Marc Shapiro, Viktor Vafeiadis:
Geo-Replication: Fast If Possible, Consistent If Necessary. IEEE Data Eng. Bull. 39(1): 81-92 (2016) - 2015
- [c6]Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues:
Minimizing coordination in replicated systems. PaPoC@EuroSys 2015: 8:1-8:4 - [c5]Daniel Porto, João Leitão, Cheng Li, Allen Clement, Aniket Kate, Flavio Paiva Junqueira, Rodrigo Rodrigues:
Visigoth fault tolerance. EuroSys 2015: 8:1-8:14 - 2014
- [c4]Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues, Viktor Vafeiadis:
Automating the Choice of Consistency Levels in Replicated Systems. USENIX Annual Technical Conference 2014: 281-292 - 2012
- [c3]Cheng Li, Daniel Porto, Allen Clement, Johannes Gehrke, Nuno M. Preguiça, Rodrigo Rodrigues:
Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary. OSDI 2012: 265-278 - 2011
- [c2]Pedro Fonseca, Cheng Li, Rodrigo Rodrigues:
Finding complex concurrency bugs in large multi-threaded applications. EuroSys 2011: 215-228 - 2010
- [c1]Pedro Fonseca, Cheng Li, Vishal Singhal, Rodrigo Rodrigues:
A study of the internal and external effects of concurrency bugs. DSN 2010: 221-230
Coauthor Index
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last updated on 2024-04-17 23:12 CEST by the dblp team
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