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2020 – today
- 2024
[c72]Yue Guan
, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo:
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) 2024: 1-18- [c71]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 - [c70]Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou:
SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation. USENIX ATC 2024: 835-850 - [i11]Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou:
Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation. CoRR abs/2402.06194 (2024) - 2023
- [c69]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou:
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. EuroSys 2023: 883-898 - [c68]Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou:
On Modular Learning of Distributed Systems for Predicting End-to-End Latency. NSDI 2023: 1081-1095 - [c67]Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou:
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity. OSDI 2023: 377-395 - [c66]Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou:
Welder: Scheduling Deep Learning Memory Access via Tile-graph. OSDI 2023: 701-718 - [c65]Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo:
Optimizing Dynamic Neural Networks with Brainstorm. OSDI 2023: 797-815 - [c64]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou:
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023: 331-347 - [i10]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) - [i9]Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou:
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. CoRR abs/2301.10936 (2023) - 2022
- [c63]Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou:
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. OSDI 2022: 213-232 - [c62]Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko:
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI 2022: 233-248 - 2021
- [c61]Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou:
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding. ACL/IJCNLP (1) 2021: 2579-2591 - [c60]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c59]Yingdi Shan, Kang Chen, Tuoyu Gong, Lidong Zhou, Tai Zhou, Yongwei Wu:
Geometric Partitioning: Explore the Boundary of Optimal Erasure Code Repair. SOSP 2021: 457-471 - [c58]Yang Chen, Zhongxin Guo, Runhuai Li, Shuo Chen, Lidong Zhou, Yajin Zhou, Xian Zhang:
Forerunner: Constraint-based Speculative Transaction Execution for Ethereum. SOSP 2021: 570-587 - [i8]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i7]Zihan Zheng, Peichen Xie, Xian Zhang, Shuo Chen, Yang Chen, Xiaobing Guo, Guangzhong Sun, Guangyu Sun, Lidong Zhou:
Agatha: Smart Contract for DNN Computation. CoRR abs/2105.04919 (2021) - [i6]Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang, Lidong Zhou:
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version). CoRR abs/2107.06049 (2021) - 2020
- [j16]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Distributed Graph Computation Meets Machine Learning. IEEE Trans. Parallel Distributed Syst. 31(7): 1588-1604 (2020) - [c57]Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space Tailored for Text Representation. AAAI 2020: 9242-9249 - [c56]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang:
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. OSDI 2020: 515-532 - [c55]Yunhao Zhang, Srinath T. V. Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi:
Byzantine Ordered Consensus without Byzantine Oligarchy. OSDI 2020: 633-649 - [c54]Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou:
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI 2020: 881-897 - [c53]Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou:
Retiarii: A Deep Learning Exploratory-Training Framework. OSDI 2020: 919-936 - [c52]Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai:
AutoSys: The Design and Operation of Learning-Augmented Systems. USENIX ATC 2020: 323-336 - [i5]Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou:
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding. CoRR abs/2012.14740 (2020) - [i4]Yunhao Zhang, Srinath T. V. Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi:
Byzantine Ordered Consensus without Byzantine Oligarchy. IACR Cryptol. ePrint Arch. 2020: 1300 (2020)
2010 – 2019
- 2019
- [j15]Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou:
The Case for Learning-and-System Co-design. ACM SIGOPS Oper. Syst. Rev. 53(1): 68-74 (2019) - [c51]Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou:
Astra: Exploiting Predictability to Optimize Deep Learning. ASPLOS 2019: 909-923 - [c50]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
Fast Distributed Deep Learning over RDMA. EuroSys 2019: 44:1-44:14 - [c49]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - [i3]Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space tailored for Text Representation. CoRR abs/1912.10729 (2019) - 2018
- [c48]Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou:
Scheduling CPU for GPU-based Deep Learning Jobs. SoCC 2018: 503 - [c47]Atsushi Koshiba, Ying Yan, Zhongxin Guo, Mitaro Namiki, Lidong Zhou:
TEE-KV: Secure Immutable Key-Value Store for Trusted Execution Environments. SoCC 2018: 535 - [c46]Lidong Zhou, Bo Wang, Zheng Wang, Fei Wang, Minghui Yang:
Seasonal classification and RBF adaptive weight based parallel combined method for day-ahead electricity price forecasting. ISGT 2018: 1-5 - [c45]Peng Huang, Chuanxiong Guo, Jacob R. Lorch, Lidong Zhou, Yingnong Dang:
Capturing and Enhancing In Situ System Observability for Failure Detection. OSDI 2018: 1-16 - [c44]Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou:
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI 2018: 595-610 - [c43]Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou:
TerseCades: Efficient Data Compression in Stream Processing. USENIX ATC 2018: 307-320 - [i2]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR abs/1805.08430 (2018) - [i1]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018) - 2017
- [c42]Peng Huang, Chuanxiong Guo, Lidong Zhou, Jacob R. Lorch, Yingnong Dang, Murali Chintalapati, Randolph Yao:
Gray Failure: The Achilles' Heel of Cloud-Scale Systems. HotOS 2017: 150-155 - [c41]Fei Wang, Lidong Zhou, Hui Ren, Xiaoli Liu, Miadreza Shafie-khah, João P. S. Catalão:
Multi-objective optimization model of source-load-storage synergetic dispatch for building energy system based on TOU price demand response. IAS 2017: 1-10 - [c40]Yahong Li, Hui Ren, Lidong Zhou, Fei Wang, Jiaheng Li:
Inverse-time protection scheme for active distribution network based on user-defined characteristics. ISGT Europe 2017: 1-6 - [c39]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Tux2: Distributed Graph Computation for Machine Learning. NSDI 2017: 669-682 - 2016
- [c38]Wei Lin, Haochuan Fan, Zhengping Qian, Junwei Xu, Sen Yang, Jingren Zhou, Lidong Zhou:
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams. NSDI 2016: 439-453 - [c37]Srinath T. V. Setty, Chunzhi Su, Jacob R. Lorch, Lidong Zhou, Hao Chen, Parveen Patel, Jinglei Ren:
Realizing the Fault-Tolerance Promise of Cloud Storage Using Locks with Intent. OSDI 2016: 501-516 - 2015
- [j14]Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen:
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs. ACM Trans. Storage 11(3): 14:1-14:34 (2015) - [j13]Xuepeng Fan, Zhenyu Guo, Hai Jin, Xiaofei Liao, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. IEEE Trans. Parallel Distributed Syst. 26(6): 1718-1731 (2015) - [c36]Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou:
GraM: scaling graph computation to the trillions. SoCC 2015: 408-421 - 2014
- [c35]Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen:
Chronos: a graph engine for temporal graph analysis. EuroSys 2014: 1:1-1:14 - [c34]Zhenyu Guo, Chuntao Hong, Mao Yang, Dong Zhou, Lidong Zhou, Li Zhuang:
Rex: replication at the speed of multi-core. EuroSys 2014: 11:1-11:14 - [c33]Tian Xiao, Jiaxing Zhang, Hucheng Zhou, Zhenyu Guo, Sean McDirmid, Wei Lin, Wenguang Chen, Lidong Zhou:
Nondeterminism in MapReduce considered harmful? an empirical study on non-commutative aggregators in MapReduce programs. ICSE Companion 2014: 44-53 - [c32]Tian Xiao, Zhenyu Guo, Hucheng Zhou, Jiaxing Zhang, Xu Zhao, Chencheng Ye, Xi Wang, Wei Lin, Wenguang Chen, Lidong Zhou:
Cybertron: pushing the limit on I/O reduction in data-parallel programs. OOPSLA 2014: 895-908 - [c31]Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou:
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. OSDI 2014: 285-300 - 2013
- [j12]Jun Shi, Hui Li, Lidong Zhou:
The technical security issues in cloud computing. Int. J. Inf. Commun. Technol. 5(3/4): 272-282 (2013) - [c30]Zhengping Qian, Yong He, Chunzhi Su, Zhuojie Wu, Hongyu Zhu, Taizhi Zhang, Lidong Zhou, Yuan Yu, Zheng Zhang:
TimeStream: reliable stream computation in the cloud. EuroSys 2013: 1-14 - [c29]Zhenyu Guo, Sean McDirmid, Mao Yang, Li Zhuang, Pu Zhang, Yingwei Luo, Tom Bergan, Madan Musuvathi, Zheng Zhang, Lidong Zhou:
Failure Recovery: When the Cure Is Worse Than the Disease. HotOS 2013 - [c28]Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou:
KuaFu: Closing the parallelism gap in database replication. ICDE 2013: 1186-1195 - 2012
- [c27]Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen:
Kineograph: taking the pulse of a fast-changing and connected world. EuroSys 2012: 85-98 - [c26]Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Li, Wei Lin, Jingren Zhou, Lidong Zhou:
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. NSDI 2012: 295-308 - [c25]Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. OSDI 2012: 121-133 - [c24]Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan:
Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX ATC 2012: 41-52 - 2011
- [c23]Huayang Guo, Ming Wu, Lidong Zhou, Gang Hu, Junfeng Yang, Lintao Zhang:
Practical software model checking via dynamic interface reduction. SOSP 2011: 265-278 - [c22]Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou:
G2: A Graph Processing System for Diagnosing Distributed Systems. USENIX ATC 2011 - 2010
- [j11]Leslie Lamport, Dahlia Malkhi, Lidong Zhou:
Reconfiguring a state machine. SIGACT News 41(1): 63-73 (2010) - [c21]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou:
Comet: batched stream processing for data intensive distributed computing. SoCC 2010: 63-74 - [c20]Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He, Zhengping Qian, Lidong Zhou:
Distributed Systems Meet Economics: Pricing in the Cloud. HotCloud 2010 - [c19]Fred B. Schneider, Lidong Zhou:
Implementing Trustworthy Services Using Replicated State Machines. Replication 2010: 151-167 - [c18]Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang:
Language-based replay via data flow cut. SIGSOFT FSE 2010: 197-206 - [e1]Chandramohan A. Thekkath, Ramakrishna Kotla, Lidong Zhou:
Proceedings of the 1st ACM SIGCOMM Asia-Pacific Workshop on Systems, ApSys 2010, New Delhi, India, August 30, 2010. ACM 2010, ISBN 978-1-4503-0195-4 [contents]
2000 – 2009
- 2009
- [j10]Lidong Zhou:
Building reliable large-scale distributed systems: when theory meets practice. SIGACT News 40(3): 78-85 (2009) - [j9]Martin Hutle, Dahlia Malkhi, Ulrich Schmid, Lidong Zhou:
Chasing the Weakest System Model for Implementing Ω and Consensus. IEEE Trans. Dependable Secur. Comput. 6(4): 269-281 (2009) - [j8]John MacCormick, Nicholas Murphy, Venugopalan Ramasubramanian, Udi Wieder, Junfeng Yang, Lidong Zhou:
Kinesis: A new approach to replica placement in distributed storage systems. ACM Trans. Storage 4(4): 11:1-11:28 (2009) - [c17]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou:
Wave Computing in the Cloud. HotOS 2009 - [c16]Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou:
MODIST: Transparent Model Checking of Unmodified Distributed Systems. NSDI 2009: 213-228 - [c15]Leslie Lamport, Dahlia Malkhi, Lidong Zhou:
Vertical paxos and primary-backup replication. PODC 2009: 312-313 - 2008
- [j7]Manuel Costa, Jon Crowcroft, Miguel Castro, Antony I. T. Rowstron, Lidong Zhou, Lintao Zhang, Paul Barham:
Vigilante: End-to-end containment of Internet worm epidemics. ACM Trans. Comput. Syst. 26(4): 9:1-9:68 (2008) - [j6]John MacCormick, Chandramohan A. Thekkath, Marcus Jager, Kristof Roomp, Lidong Zhou, Ryan Peterson:
Niobe: A practical replication protocol. ACM Trans. Storage 3(4): 1:1-1:43 (2008) - [c14]Vijayan Prabhakaran, Thomas L. Rodeheffer, Lidong Zhou:
Transactional Flash. OSDI 2008: 147-160 - 2007
- [c13]Danny Bickson, Dahlia Malkhi, Lidong Zhou:
Peer-to-Peer Rating. Peer-to-Peer Computing 2007: 211-218 - [c12]Lidong Zhou, Vijayan Prabhakaran, Venugopalan Ramasubramanian, Roy Levin, Chandramohan A. Thekkath:
Graceful degradation via versions: specifications and implementations. PODC 2007: 264-273 - [c11]Manuel Costa, Miguel Castro, Lidong Zhou, Lintao Zhang, Marcus Peinado:
Bouncer: securing software by blocking bad input. SOSP 2007: 117-130 - 2006
- [j5]Lili Qiu, Paramvir Bahl, Ananth Rao, Lidong Zhou:
Troubleshooting wireless mesh networks. Comput. Commun. Rev. 36(5): 17-28 (2006) - [c10]Martin Hutle, Dahlia Malkhi, Ulrich Schmid, Lidong Zhou:
Brief Announcement: Chasing the Weakest System Model for Implementing Omega and Consensus. SSS 2006: 576-577 - 2005
- [j4]Fred B. Schneider, Lidong Zhou:
Implementing Trustworthy Services Using Replicated State Machines. IEEE Secur. Priv. 3(5): 34-43 (2005) - [j3]Lidong Zhou, Fred B. Schneider, Robbert van Renesse:
APSS: proactive secret sharing in asynchronous systems. ACM Trans. Inf. Syst. Secur. 8(3): 259-286 (2005) - [c9]Lidong Zhou, Michael A. Marsh, Fred B. Schneider, Anna Redz:
Distributed Blinding for Distributed ElGamal Re-Encryption. ICDCS 2005: 815-824 - [c8]Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien:
A First Look at Peer-to-Peer Worms: Threats and Defenses. IPTPS 2005: 24-35 - [c7]Lili Qiu, Paramvir Bahl, Ananth Rao, Lidong Zhou:
Troubleshooting multihop wireless networks. SIGMETRICS 2005: 380-381 - [c6]Manuel Costa, Jon Crowcroft, Miguel Castro, Antony I. T. Rowstron, Lidong Zhou, Lintao Zhang, Paul Barham:
Vigilante: end-to-end containment of internet worms. SOSP 2005: 133-147 - [c5]Dahlia Malkhi, Florian Oprea, Lidong Zhou:
Omega Meets Paxos: Leader Election and Stability Without Eventual Timely Links. DISC 2005: 199-213 - 2004
- [c4]Atul Adya, Paramvir Bahl, Jitendra Padhye, Alec Wolman, Lidong Zhou:
A Multi-Radio Unification Protocol for IEEE 802.11 Wireless Networks. BROADNETS 2004: 344-354 - [c3]Lidong Zhou, Robbert van Renesse:
P6P: A Peer-to-Peer Approach to Internet Infrastructure. IPTPS 2004: 75-86 - [c2]John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, Lidong Zhou:
Boxwood: Abstractions as the Foundation for Storage Infrastructure. OSDI 2004: 105-120 - 2002
- [j2]Lidong Zhou, Fred B. Schneider, Robbert van Renesse:
COCA: A secure distributed online certification authority. ACM Trans. Comput. Syst. 20(4): 329-368 (2002) - [c1]Lidong Zhou, Robbert van Renesse, Michael A. Marsh:
Implementing IPv6 as a Peer-to-Peer Overlay Network. SRDS 2002: 347- - 2001
- [b1]Lidong Zhou:
Towards Fault-Tolerant and Secure On-Line Services. Cornell University, USA, 2001
1990 – 1999
- 1999
- [j1]Lidong Zhou, Zygmunt J. Haas:
Securing ad hoc networks. IEEE Netw. 13(6): 24-30 (1999)
Coauthor Index
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