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ORCIDMao Yang 0004
Person information
- affiliation: Microsoft Research, Beijing, China
Other persons with the same name
- Mao Yang — disambiguation page
- Mao Yang 0001
![[0000-0001-6081-1006]](https://dblp.dagstuhl.de/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
- 2024
[c66]Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun:
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. ASPLOS (2) 2024: 879-896- [c65]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:
IRGen: Generative Modeling for Image Retrieval. ECCV (15) 2024: 21-41 - [c64]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 - [c63]Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang:
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. EMNLP 2024: 13674-13695 - [c62]Yijia Zhang, Lingran Zhao, Shijie Cao, Sicheng Zhang, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. ICME 2024: 1-6 - [c61]Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang:
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. ICML 2024 - [c60]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:
An Empirical Study on Low GPU Utilization of Deep Learning Jobs. ICSE 2024: 96:1-96:13 - [c59]Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang:
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA 2024: 1018-1031 - [c58]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:
Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. MobiSys 2024: 438-450 - [c57]Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan:
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. NSDI 2024 - [c56]Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang:
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI 2024: 307-323 - [c55]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 - [c54]Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang:
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. PPoPP 2024: 333-347 - [c53]Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang:
Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor. SOSP 2024: 160-177 - [c52]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:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [c51]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:
OneSparse: A Unified System for Multi-index Vector Search. WWW (Companion Volume) 2024: 393-402 - [i27]Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang:
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. CoRR abs/2402.13753 (2024) - [i26]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:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - [i25]Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang:
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR abs/2408.06003 (2024) - [i24]Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang:
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers. CoRR abs/2408.06195 (2024) - [i23]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) - [i22]Yizhao Gao, Zhichen Zeng, Dayou Du, Shijie Cao, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang:
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. CoRR abs/2410.13276 (2024) - [i21]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
- [c50]Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu:
FrozenHot Cache: Rethinking Cache Management for Modern Hardware. EuroSys 2023: 557-573 - [c49]Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV 2023: 5796-5805 - [c48]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. ICCV 2023: 5806-5817 - [c47]Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. ICSE-SEIP 2023: 368-380 - [c46]Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang:
An Empirical Study on Quality Issues of Deep Learning Platform. ICSE-SEIP 2023: 455-466 - [c45]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH 2023: 4104-4108 - [c44]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:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. KDD 2023: 1280-1290 - [c43]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:
Tutel: Adaptive Mixture-of-Experts at Scale. MLSys 2023 - [c42]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [c41]Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu:
NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys 2023: 70-83 - [c40]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:
Model-enhanced Vector Index. NeurIPS 2023 - [c39]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 - [c38]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 - [c37]Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang:
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI 2023: 681-699 - [c36]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 - [c35]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. SOSP 2023: 545-561 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu:
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. CoRR abs/2305.12356 (2023) - [i13]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR abs/2305.19549 (2023) - [i12]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:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. CoRR abs/2306.14393 (2023) - [i11]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. CoRR abs/2309.08978 (2023) - [i10]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:
Model-enhanced Vector Index. CoRR abs/2309.13335 (2023) - [i9]Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang:
Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models. CoRR abs/2310.05015 (2023) - [i8]Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang:
Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. CoRR abs/2312.08901 (2023) - 2022
- [c34]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 - [c33]Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. ICSE 2022: 1843-1855 - [c32]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:
A Neural Corpus Indexer for Document Retrieval. NeurIPS 2022 - [c31]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 - [c30]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 - [c29]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 - [i7]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) - [i6]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) - [i5]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
- [c28]Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang:
Resource-Guided Configuration Space Reduction for Deep Learning Models. ICSE 2021: 175-187 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [i4]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) - [i3]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) - [i2]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
- [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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
2010 – 2019
- 2019
- [j2]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) - [c16]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 - [i1]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) - 2014
- [c15]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 - [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 - 2013
- [c14]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 - [c13]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
- [c12]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 - 2011
- [c11]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
- [c10]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 - [c9]Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang:
Large graph processing in the cloud. SIGMOD Conference 2010: 1123-1126
2000 – 2009
- 2009
- [c8]Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou:
Wave Computing in the Cloud. HotOS 2009 - [c7]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 - [c6]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) - 2007
- [c5]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 - [c4]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
- [c3]Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li:
Robust Incentives via Multi-level Tit-for-tat. IPTPS 2006 - 2005
- [c2]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 - 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