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ORCIDMao Yang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Mao Yang 0001
![[0000-0001-6081-1006]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6081-1006")
— Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China - Mao Yang 0002 — Chongqing Three Gorges University, Chongqing, China
- Mao Yang 0003 — Northeast Electric Power University, Jilin, China
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2020 – today
- 2023
[i18]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)- [i17]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) - [i16]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i15]Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR abs/2303.08308 (2023) - [i14]Kun Li, Zhichun Li, Yuetao Chen, Zixuan Wang, Yiwei Zhang, Liang Yuan, Haipeng Jia, Yunquan Zhang, Ting Cao, Mao Yang:
Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing. CoRR abs/2303.08365 (2023) - [i13]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR abs/2303.09730 (2023) - [i12]Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Baining Guo:
IRGen: Generative Modeling for Image Retrieval. CoRR abs/2303.10126 (2023) - 2022
- [j9]Falv Wang, Mao Yang, Longfei Ma, Tong Zhang, Weilong Qin, Wei Li, Yinghua Zhang, Zhencai Sun, Zhimin Wang, Fei Li, Kang Yu:
Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV. Remote. Sens. 14(5): 1251 (2022) - [c48]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM 2022: 3654-3663 - [c47]Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. ICSE 2022: 1843-1855 - [c46]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 - [c45]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 - [c44]Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang:
Towards efficient vision transformer inference: a first study of transformers on mobile devices. HotMobile 2022: 1-7 - [i11]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang:
A Neural Corpus Indexer for Document Retrieval. CoRR abs/2206.02743 (2022) - [i10]Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong:
Tutel: Adaptive Mixture-of-Experts at Scale. CoRR abs/2206.03382 (2022) - [i9]Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu:
LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR abs/2206.09418 (2022) - [i8]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR abs/2209.00625 (2022) - 2021
- [c43]Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang:
OpEvo: An Evolutionary Method for Tensor Operator Optimization. AAAI 2021: 12320-12327 - [c42]Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Resource-Guided Configuration Space Reduction for Deep Learning Models. ICSE 2021: 175-187 - [c41]Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang:
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search. NeurIPS 2021: 5199-5212 - [c40]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks 2021 - [c39]Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang:
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns. SRDS 2021: 143-153 - [c38]Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang:
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. WWW 2021: 1040-1052 - [i7]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) - [i6]Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR abs/2109.11377 (2021) - [i5]Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang:
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search. CoRR abs/2111.08566 (2021) - 2020
- [j8]Yong Sun, Zhenyuan Li, Xinnan Yu, Baoju Li, Mao Yang:
Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance. IEEE Access 8: 147703-147710 (2020) - [c37]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 - [c36]Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang:
An empirical study on program failures of deep learning jobs. ICSE 2020: 1159-1170 - [c35]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 - [c34]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 - [c33]Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang:
Enhancing the interoperability between deep learning frameworks by model conversion. ESEC/SIGSOFT FSE 2020: 1320-1330 - [c32]Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang:
Estimating GPU memory consumption of deep learning models. ESEC/SIGSOFT FSE 2020: 1342-1352 - [c31]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: 323-336 - [i4]Xiaotian Gao, Cui Wei, Lintao Zhang, Mao Yang:
OpEvo: An Evolutionary Method for Tensor Operator Optimization. CoRR abs/2006.05664 (2020)
2010 – 2019
- 2019
- [j7]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) - [c30]Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang:
Time-Series Anomaly Detection Service at Microsoft. KDD 2019: 3009-3017 - [i3]Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang:
Time-Series Anomaly Detection Service at Microsoft. CoRR abs/1906.03821 (2019) - [i2]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
- [j6]Mao Yang, Xinxin Chen, Jian Du, Yang Cui:
Ultra-Short-Term Multistep Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-Length Analysis. IEEE Access 6: 31908-31917 (2018) - [j5]Mao Yang, Xin Huang:
Ultra-Short-Term Prediction of Photovoltaic Power Based on Periodic Extraction of PV Energy and LSH Algorithm. IEEE Access 6: 51200-51205 (2018) - 2017
- [c29]Yiming Liu, Zhi Fu, Mao Yang:
Topology-Transparent Scheduling in Mobile Ad Hoc Networks with Unidirectional Links. ChinaCom (2) 2017: 112-121 - 2015
- [j4]Mao Yang, Yong Li, Depeng Jin, Lieguang Zeng, Xin Wu, Athanasios V. Vasilakos:
Software-Defined and Virtualized Future Mobile and Wireless Networks: A Survey. Mob. Networks Appl. 20(1): 4-18 (2015) - 2014
- [j3]Mao Yang, Yong Li, Depeng Jin, Jian Yuan, Ilsun You, Lieguang Zeng:
Opportunistic sharing scheme for spectrum allocation in wireless virtualization. Soft Comput. 18(9): 1685-1696 (2014) - [c28]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 - [c27]Mao Yang, Yong Li, Jiaqiang Liu, Depeng Jin, Jian Yuan, Lieguang Zeng:
Opportunistic spectrum sharing for wireless virtualization. WCNC 2014: 1803-1808 - [p1]Rishan Chen, Xuetian Weng, Bingsheng He, Byron Choi, Mao Yang:
Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud. Large Scale and Big Data 2014: 229-254 - [i1]Mao Yang, Yong Li, Depeng Jin, Lieguang Zeng, Xin Wu, Athanasios V. Vasilakos:
Software-Defined and Virtualized Future Mobile and Wireless Networks: A Survey. CoRR abs/1409.0079 (2014) - 2013
- [c26]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 - [c25]Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou:
KuaFu: Closing the parallelism gap in database replication. ICDE 2013: 1186-1195 - [c24]Mao Yang, Yong Li, Depeng Jin, Jian Yuan, Li Su, Lieguang Zeng:
Opportunistic Spectrum Sharing Based Resource Allocation for Wireless Virtualization. IMIS 2013: 51-58 - [c23]Mao Yang, Yong Li, Depeng Jin, Li Su, Shaowu Ma, Lieguang Zeng:
OpenRAN: a software-defined ran architecture via virtualization. SIGCOMM 2013: 549-550 - 2012
- [c22]Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li:
Improving large graph processing on partitioned graphs in the cloud. SoCC 2012: 3 - [c21]Mao Yang, Yong Li, Lieguang Zeng, Depeng Jin, Li Su:
Karnaugh-map like online embedding algorithm of wireless virtualization. WPMC 2012: 594-598 - 2011
- [c20]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 - 2010
- [c19]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 - [c18]Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang:
Large graph processing in the cloud. SIGMOD Conference 2010: 1123-1126
2000 – 2009
- 2009
- [j2]Mao Yang:
SAD effect on the return volatility and dynamic relevance analysis among the unexpected returns in China's market indices. Int. J. Netw. Virtual Organisations 6(4): 418-425 (2009) - [c17]Mao Yang, Yantao Tian, Xianghua Yin:
The Control Based on Internal Average Kinetic Energy in Complex Environment for Multi-robot System. Complex (1) 2009: 607-617 - [c16]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou:
Wave Computing in the Cloud. HotOS 2009 - [c15]Mao Yang, Yantao Tian, Xianghua Yin:
Distributed optimal control based on internal average kinetic energy for multi-robot system. ICARA 2009: 669-674 - [c14]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 - [c13]Fuyuan Zhang, Zhengwei Qi, Haibing Guan, Xuezheng Liu, Mao Yang, Zheng Zhang:
FiLM: A Runtime Monitoring Tool for Distributed Systems. SSIRI 2009: 40-46 - 2008
- [j1]Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li:
Robust incentives via multi-level Tit-for-Tat. Concurr. Comput. Pract. Exp. 20(2): 167-178 (2008) - [c12]Mao Yang, Yantao Tian, Xinyue Qi:
Behavior Analysis of Swarm Robot Systems Based on Vicsek Model. ICNC (7) 2008: 594-598 - 2007
- [c11]Qiao Lian, Zheng Zhang, Mao Yang, Ben Y. Zhao, Yafei Dai, Xiaoming Li:
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System. ICDCS 2007: 56 - [c10]Mao Yang, Qinyuan Feng, Yafei Dai, Zheng Zhang:
A Multi-dimensional Reputation System Combined with Trust and Incentive Mechanisms in P2P File Sharing Systems. ICDCS Workshops 2007: 29 - 2006
- [c9]Mao Yang, Yafei Dai, Xiaoming Li:
Bring Reputation System to Social Network in the Maze P2P File-Sharing System. CTS 2006: 393-400 - [c8]Yu Peng, Mao Yang, Yafei Dai:
Analyze the Impact of User Search Behavior on DHT-based P2P File Sharing System. GCC Workshops 2006: 137-142 - [c7]Mao Yang, Yafei Dai, Jing Tian:
Analyzing Peer-to-Peer Traffic's Impact on Large Scale Networks. International Conference on Computational Science (4) 2006: 412-419 - [c6]Jing Tian, Yafei Dai, Hao Wang, Mao Yang:
Understanding the Session Durability in Peer-to-Peer Storage System. International Conference on Computational Science (4) 2006: 428-435 - [c5]Yang Zhao, Xiaoxiao Hou, Mao Yang, Yafei Dai:
Measurement study and application of social network in the Maze P2P file-sharing system. Infoscale 2006: 57 - [c4]Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li:
Robust Incentives via Multi-level Tit-for-tat. IPTPS 2006 - 2005
- [c3]Mao Yang, Zheng Zhang, Xiaoming Li, Yafei Dai:
An Empirical Study of Free-Riding Behavior in the Maze P2P File-Sharing System. IPTPS 2005: 182-192 - [c2]Hanyu Liu, Yu Peng, Mao Yang, Yafei Dai:
Characterization of P2P File-Sharing System. ISPA Workshops 2005: 27-34 - 2004
- [c1]Mao Yang, Hua Chen, Ben Y. Zhao, Yafei Dai, Zheng Zhang:
Deployment of a Large-scale Peer-to-Peer Social Network. WORLDS 2004
Coauthor Index
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