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Cheng 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
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Clear Water Bay, Hong Kong
- Cheng Li 0003
- Cheng Li 0004
- Cheng Li 0005
- Cheng Li 0006
- Cheng Li 0007
- Cheng Li 0008
- Cheng Li 0009
- Cheng Li 0010
- Cheng Li 0011
- Cheng Li 0012
- Cheng Li 0013 — University of Kent, UK
- Cheng Li 0014
- 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
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2020 – today
- 2025
- [j15]Syed Zawad, Xiaolong Ma
FedCust: Offloading hyperparameter customization for federated learning. Perform. Evaluation 167: 102450 (2025) - 2024
- [j14]Jiahao Li
Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage Systems. ACM Trans. Storage 20(3): 19 (2024) - [j13]Zhiqi Lin
Efficient Schedule Construction for Distributed Execution of Large DNN Models. IEEE Trans. Parallel Distributed Syst. 35(12): 2375-2391 (2024) - [c43]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 - [c42]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 - [c41]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP 2024: 8181-8196 - [c40]Kai Ma
Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. EuroSys 2024: 704-719 - [c39]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 - [c38]Si Wu, Guantian Lin, Patrick P. C. Lee, Cheng Li, Yinlong Xu:
Optimal Wide Stripe Generation in Locally Repairable Codes via Staged Stripe Merging. ICDCS 2024: 450-460 - [c37]Guantian Lin
Designing Non-uniform Locally Repairable Codes for Wide Stripes under Skewed File Accesses. ICPP 2024: 1197-1206 - [c36]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 - [i10]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR abs/2409.17066 (2024) - [i9]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. CoRR abs/2410.14452 (2024) - 2023
- [c35]Chaoyi Ruan, Yingqiang Zhang, Chao Bi, Xiaosong Ma, Hao Chen, Feifei Li, Xinjun Yang, Cheng Li, Ashraf Aboulnaga, Yinlong Xu:
Persistent Memory Disaggregation for Cloud-Native Relational Databases. ASPLOS (3) 2023: 498-512 - [c34]Yiduo Wang
CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections. EuroSys 2023: 331-346 - [c33]Ziyue Qiu
FrozenHot Cache: Rethinking Cache Management for Modern Hardware. EuroSys 2023: 557-573 - [c32]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 - [c31]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 - [c30]Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan:
DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR 2023 - [c29]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 - [c28]Xinyang Shao, Cheng Li, Yinlong Xu:
MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System. ICPADS 2023: 1951-1958 - [c27]Yuming Xu
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. SOSP 2023: 545-561 - [c26]Ping Gong
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578 - [i8]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) - [i7]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) - [i6]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) - [i5]Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh:
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks. CoRR abs/2304.08925 (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
- [j12]Liangliang 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) - [j11]Shixiong Zhao
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. 33(3): 489-506 (2022) - [j10]Liangliang Xu
SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems. IEEE Trans. Parallel Distributed Syst. 33(10): 2386-2400 (2022) - [c25]Shixiong Zhao
NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism. ASPLOS 2022: 374-387 - [c24]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 - [c23]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
- [j9]Hao Chen
ECR: Eviction-cost-aware cache management policy for page-level flash-based SSDs. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j8]Jiawei Wang, Cheng Li, Kai Ma
AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. 14(9): 1517-1530 (2021) - [j7]Yingqiang Zhang
Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation. Proc. VLDB Endow. 14(10): 1900-1912 (2021) - [j6]Ye Lu
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
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. 32(10): 2541-2556 (2021) - [c22]Zewen Jin
Lessons learned from migrating complex stateful applications onto serverless platforms. APSys 2021: 89-96 - [c21]Xusheng Chen, Haoze Song, Jianyu Jiang, Chaoyi Ruan, Cheng Li, Sen Wang, Gong Zhang, Reynold Cheng
Achieving low tail-latency and high scalability for serializable transactions in edge computing. EuroSys 2021: 210-227 - [c20]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 - [c19]Yiduo Wang
Lunule: an agile and judicious metadata load balancer for CephFS. SC 2021: 47 - [c18]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
- [c17]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 - [c16]Shixiong Zhao, Xusheng Chen, Cheng Wang, Fanxin Li, Qi Ji, Heming Cui, Cheng Li, Sen Wang:
HAMS: High Availability for Distributed Machine Learning Service Graphs. DSN 2020: 184-196 - [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
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
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 ATC 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
Fine-grained consistency for geo-replicated systems. USENIX ATC 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
Geo-Replication: Fast If Possible, Consistent If Necessary. IEEE Data Eng. Bull. 39(1): 81-92 (2016) - 2015
- [c6]Cheng Li, João Leitão
Minimizing coordination in replicated systems. PaPoC@EuroSys 2015: 8:1-8:4 - [c5]Daniel Porto, João Leitão
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 ATC 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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