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ORCIDMingzhou Zhou
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2020 – today
- 2024
[c11]Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi
, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD 2024: 4804-4815- [i3]Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024) - [i2]Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta:
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. CoRR abs/2407.13218 (2024) - 2022
- [c10]Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao:
Generalized Deep Mixed Models. KDD 2022: 3869-3877 - 2021
- [i1]Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi:
Logit Attenuating Weight Normalization. CoRR abs/2108.05839 (2021) - 2020
- [c9]Zhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou:
Deep Learning for Search and Recommender Systems in Practice. KDD 2020: 3515-3516
2010 – 2019
- 2018
- [c8]Tri Quang, Christopher A. Mela, Mingzhou Zhou, Yang Liu:
Mobile traumatic brain injury assessment system. ISSPIT 2018: 1-5 - [c7]Tri Quang, Mingzhou Zhou, Francis Papay, Yang Liu:
Fluorescence to color feature-based image registration for medical augmented reality. ISSPIT 2018: 1-6 - 2016
- [j2]Mingzhou Zhou, Bo Wu, Xipeng Shen, Yaoqing Gao, Graham Yiu:
Examining and Reducing the Influence of Sampling Errors on Feedback-Driven Optimizations. ACM Trans. Archit. Code Optim. 13(1): 6:1-6:24 (2016) - [j1]Yun-zheng Ding, Mingzhou Zhou, Yuan Tian, Hui-ying Li, Bingxiang Liu:
A BER and 2-Hop Routing Information-Based Stable Geographical Routing Protocol in MANETs for Multimedia Applications. Wirel. Pers. Commun. 90(1): 3-32 (2016) - 2014
- [c6]Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen:
Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. ASPLOS 2014: 607-622 - [c5]Zhijia Zhao, Mingzhou Zhou, Xipeng Shen:
SatScore: uncovering and avoiding a principled pitfall in responsiveness measurements of app launches. UbiComp 2014: 21-32 - [c4]Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu:
Call sequence prediction through probabilistic calling automata. OOPSLA 2014: 745-762 - [c3]Mingzhou Zhou, Xipeng Shen, Yaoqing Gao, Graham Yiu:
Space-efficient multi-versioning for input-adaptive feedback-driven program optimizations. OOPSLA 2014: 763-776 - 2013
- [c2]Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen:
Profmig: A framework for flexible migration of program profiles across software versions. CGO 2013: 17:1-17:12 - [c1]Bo Wu, Mingzhou Zhou, Xipeng Shen, Yaoqing Gao, Raúl Silvera, Graham Yiu:
Simple Profile Rectifications Go a Long Way - Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations. ECOOP 2013: 654-678
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last updated on 2024-10-07 22:08 CEST by the dblp team
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