Lidong Zhou

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 52

Top Topics

Document Understanding

Distributed Processing

Top Venues

Publications

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)
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)
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)
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 (2024)
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)
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)
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 (2023)
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)
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)
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 (2023)
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)
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)
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)
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)
Yang Chen, Zhongxin Guo, Runhuai Li, Shuo Chen, Lidong Zhou, Yajin Zhou, Xian Zhang
Forerunner: Constraint-based Speculative Transaction Execution for Ethereum. SOSP (2021)
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 (2021)
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 (2021)
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)
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)
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 (2021)
Yingdi Shan, Kang Chen, Tuoyu Gong, Lidong Zhou, Tai Zhou, Yongwei Wu
Geometric Partitioning: Explore the Boundary of Optimal Erasure Code Repair. SOSP (2021)
Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
Retiarii: A Deep Learning Exploratory-Training Framework. OSDI (2020)
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)
Yunhao Zhang, Srinath T. V. Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Byzantine Ordered Consensus without Byzantine Oligarchy. OSDI (2020)
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 Annual Technical Conference (2020)
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 (2020)
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)
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) (2020)
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)
Yunhao Zhang, Srinath T. V. Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Byzantine Ordered Consensus without Byzantine Oligarchy. IACR Cryptol. ePrint Arch. 2020 (2020)
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) (2019)
Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou
Astra: Exploiting Predictability to Optimize Deep Learning. ASPLOS (2019)
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 (2019)
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX Annual Technical Conference (2019)
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
Fast Distributed Deep Learning over RDMA. EuroSys (2019)
Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou
Scheduling CPU for GPU-based Deep Learning Jobs. SoCC (2018)
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR (2018)
Peng Huang, Chuanxiong Guo, Jacob R. Lorch, Lidong Zhou, Yingnong Dang
Capturing and Enhancing In Situ System Observability for Failure Detection. OSDI (2018)
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)
Atsushi Koshiba, Ying Yan, Zhongxin Guo, Mitaro Namiki, Lidong Zhou
TEE-KV: Secure Immutable Key-Value Store for Trusted Execution Environments. SoCC (2018)
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)
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR (2018)
Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou
TerseCades: Efficient Data Compression in Stream Processing. USENIX Annual Technical Conference (2018)
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)
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)
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
: Distributed Graph Computation for Machine Learning. NSDI (2017)
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)
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)
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)
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)
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) (2015)
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) (2015)
Zhenyu Guo, Chuntao Hong, Mao Yang, Dong Zhou, Lidong Zhou, Li Zhuang
Rex: replication at the speed of multi-core. EuroSys (2014)
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)
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)
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)
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)
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)
Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou
KuaFu: Closing the parallelism gap in database replication. ICDE (2013)
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)
Jun Shi, Hui Li, Lidong Zhou
The technical security issues in cloud computing. Int. J. Inf. Commun. Technol. 5 (3/4) (2013)
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)
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)
Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y. Li, Wei Lin, Jingren Zhou, Lidong Zhou
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. NSDI (2012)
Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan
Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX Annual Technical Conference (2012)
Huayang Guo, Ming Wu, Lidong Zhou, Gang Hu, Junfeng Yang, Lintao Zhang
Practical software model checking via dynamic interface reduction. SOSP (2011)
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 Annual Technical Conference (2011)
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)
Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He, Zhengping Qian, Lidong Zhou
Distributed Systems Meet Economics: Pricing in the Cloud. HotCloud (2010)
Fred B. Schneider, Lidong Zhou
Implementing Trustworthy Services Using Replicated State Machines. Replication (2010)
Leslie Lamport, Dahlia Malkhi, Lidong Zhou
Reconfiguring a state machine. SIGACT News 41 (1) (2010)
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)
Lidong Zhou
Building reliable large-scale distributed systems: when theory meets practice. SIGACT News 40 (3) (2009)
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou
Wave Computing in the Cloud. HotOS (2009)
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) (2009)
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)
Leslie Lamport, Dahlia Malkhi, Lidong Zhou
Vertical paxos and primary-backup replication. PODC (2009)
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) (2009)
Vijayan Prabhakaran, Thomas L. Rodeheffer, Lidong Zhou
Transactional Flash. OSDI (2008)
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) (2008)
John MacCormick, Chandramohan A. Thekkath, Marcus Jager, Kristof Roomp, Lidong Zhou, Ryan Peterson
Niobe: A practical replication protocol. ACM Trans. Storage 3 (4) (2008)
Manuel Costa, Miguel Castro, Lidong Zhou, Lintao Zhang, Marcus Peinado
Bouncer: securing software by blocking bad input. SOSP (2007)
Lidong Zhou, Vijayan Prabhakaran, Venugopalan Ramasubramanian, Roy Levin, Chandramohan A. Thekkath
Graceful degradation via versions: specifications and implementations. PODC (2007)
Danny Bickson, Dahlia Malkhi, Lidong Zhou
Peer-to-Peer Rating. Peer-to-Peer Computing (2007)
Martin Hutle, Dahlia Malkhi, Ulrich Schmid, Lidong Zhou
and Consensus. SSS (2006)
Lili Qiu, Paramvir Bahl, Ananth Rao, Lidong Zhou
Troubleshooting wireless mesh networks. Comput. Commun. Rev. 36 (5) (2006)
Dahlia Malkhi, Florian Oprea, Lidong Zhou
Meets Paxos: Leader Election and Stability Without Eventual Timely Links. DISC (2005)
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)
Lili Qiu, Paramvir Bahl, Ananth Rao, Lidong Zhou
Troubleshooting multihop wireless networks. SIGMETRICS (2005)
Lidong Zhou, Michael A. Marsh, Fred B. Schneider, Anna Redz
Distributed Blinding for Distributed ElGamal Re-Encryption. ICDCS (2005)
Lidong Zhou, Fred B. Schneider, Robbert van Renesse
APSS: proactive secret sharing in asynchronous systems. ACM Trans. Inf. Syst. Secur. 8 (3) (2005)
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)
Fred B. Schneider, Lidong Zhou
Implementing Trustworthy Services Using Replicated State Machines. IEEE Secur. Priv. 3 (5) (2005)
Atul Adya, Paramvir Bahl, Jitendra Padhye, Alec Wolman, Lidong Zhou
A Multi-Radio Unification Protocol for IEEE 802.11 Wireless Networks. BROADNETS (2004)
John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, Lidong Zhou
Boxwood: Abstractions as the Foundation for Storage Infrastructure. OSDI (2004)
Lidong Zhou, Robbert van Renesse
P6P: A Peer-to-Peer Approach to Internet Infrastructure. IPTPS (2004)
Lidong Zhou, Fred B. Schneider, Robbert van Renesse
COCA: A secure distributed online certification authority. ACM Trans. Comput. Syst. 20 (4) (2002)
Lidong Zhou, Robbert van Renesse, Michael A. Marsh
Implementing IPv6 as a Peer-to-Peer Overlay Network. SRDS (2002)
Lidong Zhou, Zygmunt J. Haas
Securing ad hoc networks. IEEE Netw. 13 (6) (1999)