Mao Yang

According to our database, Mao Yang authored at least 86 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation.

Tuowei Wang, Kun Li, Donglin Bai, Fusong Ju, Leo Xia, Ting Cao, Ju Ren, Yaoxue Zhang, Mao Yang

CoRR, 2024

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang

CoRR, 2024

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

CoRR, 2024

OneSparse: A Unified System for Multi-index Vector Search.

Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor.

Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity.

Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang

Proceedings of the International Conference for High Performance Computing, 2024

ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores.

Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training.

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

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search.

Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference.

Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

An Empirical Study on Low GPU Utilization of Deep Learning Jobs.

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning.

Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

IRGen: Generative Modeling for Image Retrieval.

Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.

Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning.

Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang

CoRR, 2023

Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models.

Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang

CoRR, 2023

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations.

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

CoRR, 2023

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

CoRR, 2023

IRGen: Generative Modeling for Image Retrieval.

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

CoRR, 2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation.

Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou

CoRR, 2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction.

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

CoRR, 2023

PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search.

Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity.

Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

On Modular Learning of Distributed Systems for Predicting End-to-End Latency.

Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Model-enhanced Vector Index.

Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors.

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Tutel: Adaptive Mixture-of-Experts at Scale.

Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, HoYuen Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.

Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Accurate and Structured Pruning for Efficient Automatic Speech Recognition.

Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

An Empirical Study on Quality Issues of Deep Learning Platform.

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices.

Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FrozenHot Cache: Rethinking Cache Management for Modern Hardware.

Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

Tutel: Adaptive Mixture-of-Experts at Scale.

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

CoRR, 2022

A Neural Corpus Indexer for Document Retrieval.

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

CoRR, 2022

Towards efficient vision transformer inference: a first study of transformers on mobile devices.

Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

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

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.

Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

REFTY: Refinement Types for Valid Deep Learning Models.

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search.

Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

CoRR, 2021

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version).

Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang, Lidong Zhou

CoRR, 2021

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning.

Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns.

Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang

Proceedings of the 40th International Symposium on Reliable Distributed Systems, 2021

WRENCH: A Comprehensive Benchmark for Weak Supervision.

Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search.

Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Resource-Guided Configuration Space Reduction for Deep Learning Models.

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

AutoSys: The Design and Operation of Learning-Augmented Systems.

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

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Enhancing the interoperability between deep learning frameworks by model conversion.

Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, Mao Yang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Estimating GPU memory consumption of deep learning models.

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees.

Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Retiarii: A Deep Learning Exploratory-Training Framework.

Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

An empirical study on program failures of deep learning jobs.

Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.

Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The Case for Learning-and-System Co-design.

Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou

ACM SIGOPS Oper. Syst. Rev., 2019

Time-Series Anomaly Detection Service at Microsoft.

Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2014

Rex: replication at the speed of multi-core.

Zhenyu Guo, Chuntao Hong, Mao Yang, Dong Zhou, Lidong Zhou, Li Zhuang

Proceedings of the Ninth Eurosys Conference 2014, 2014

Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud.

Rishan Chen, Xuetian Weng, Bingsheng He, Byron Choi, Mao Yang

Proceedings of the Large Scale and Big Data - Processing and Management., 2014

2013

KuaFu: Closing the parallelism gap in database replication.

Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Failure Recovery: When the Cure Is Worse Than the Disease.

Zhenyu Guo, Sean McDirmid, Mao Yang, Li Zhuang, Pu Zhang, Yingwei Luo, Tom Bergan, Madan Musuvathi, Zheng Zhang, Lidong Zhou

Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013

2012

Improving large graph processing on partitioned graphs in the cloud.

Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li

Proceedings of the ACM Symposium on Cloud Computing, SOCC '12, 2012

2011

G2: A Graph Processing System for Diagnosing Distributed Systems.

Zhenyu Guo, Dong Zhou, Haoxiang Lin, Mao Yang, Fan Long, Chaoqiang Deng, Changshu Liu, Lidong Zhou

Proceedings of the 2011 USENIX Annual Technical Conference, 2011

2010

Large graph processing in the cloud.

Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Comet: batched stream processing for data intensive distributed computing.

Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou

Proceedings of the 1st ACM Symposium on Cloud Computing, 2010

2009

FiLM: A Runtime Monitoring Tool for Distributed Systems.

Fuyuan Zhang, Zhengwei Qi, Haibing Guan, Xuezheng Liu, Mao Yang, Zheng Zhang

Proceedings of the Third IEEE International Conference on Secure Software Integration and Reliability Improvement, 2009

MODIST: Transparent Model Checking of Unmodified Distributed Systems.

Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou

Proceedings of the 6th USENIX Symposium on Networked Systems Design and Implementation, 2009

Wave Computing in the Cloud.

Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou

Proceedings of HotOS'09: 12th Workshop on Hot Topics in Operating Systems, 2009

2008

Robust incentives via multi-level Tit-for-Tat.

Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li

Concurr. Comput. Pract. Exp., 2008

2007

A Multi-dimensional Reputation System Combined with Trust and Incentive Mechanisms in P2P File Sharing Systems.

Mao Yang, Qinyuan Feng, Yafei Dai, Zheng Zhang

Proceedings of the 27th International Conference on Distributed Computing Systems Workshops (ICDCS 2007 Workshops), 2007

An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System.

Qiao Lian, Zheng Zhang, Mao Yang, Ben Y. Zhao, Yafei Dai, Xiaoming Li

Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), 2007

2006

Bring Reputation System to Social Network in the Maze P2P File-Sharing System.

Mao Yang, Yafei Dai, Xiaoming Li

Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

2005

An Empirical Study of Free-Riding Behavior in the Maze P2P File-Sharing System.

Mao Yang, Zheng Zhang, Xiaoming Li, Yafei Dai

Proceedings of the Peer-to-Peer Systems IV, 4th International Workshop, 2005

2004

Deployment of a Large-scale Peer-to-Peer Social Network.

Mao Yang, Hua Chen, Ben Y. Zhao, Yafei Dai, Zheng Zhang

Proceedings of the First USENIX Workshop on Real, Large Distributed Systems, 2004