Profmig: A framework for flexible migration of program profiles across software versions. - Mingzhou Zhou; Bo Wu 002; Yufei Ding 001; Xipeng Shen (CGO, 2013)

Simple Profile Rectifications Go a Long Way - Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations. - Bo Wu 002; Mingzhou Zhou; Xipeng Shen; Yaoqing Gao; Raúl Silvera; Graham Yiu (ECOOP, 2013)

Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. - Yufei Ding 001; Mingzhou Zhou; Zhijia Zhao 001; Sarah Eisenstat; Xipeng Shen (ASPLOS, 2014)

SatScore: uncovering and avoiding a principled pitfall in responsiveness measurements of app launches. - Zhijia Zhao 001; Mingzhou Zhou; Xipeng Shen (UbiComp, 2014)

Call sequence prediction through probabilistic calling automata. - Zhijia Zhao 001; Bo Wu 002; Mingzhou Zhou; Yufei Ding 001; Jianhua Sun; Xipeng Shen; Youfeng Wu (OOPSLA, 2014)

Space-efficient multi-versioning for input-adaptive feedback-driven program optimizations. - Mingzhou Zhou; Xipeng Shen; Yaoqing Gao; Graham Yiu (OOPSLA, 2014)

Examining and Reducing the Influence of Sampling Errors on Feedback-Driven Optimizations. - Mingzhou Zhou; Bo Wu 002; Xipeng Shen; Yaoqing Gao; Graham Yiu (ACM Trans. Archit. Code Optim., 2016)

A BER and 2-Hop Routing Information-Based Stable Geographical Routing Protocol in MANETs for Multimedia Applications. - Yun-zheng Ding; Mingzhou Zhou; Yuan Tian; Hui-ying Li; Bingxiang Liu (Wirel. Pers. Commun., 2016)

Mobile traumatic brain injury assessment system. - Tri Quang; Christopher A. Mela; Mingzhou Zhou; Yang Liu (ISSPIT, 2018)

Fluorescence to color feature-based image registration for medical augmented reality. - Tri Quang; Mingzhou Zhou; Francis Papay; Yang Liu (ISSPIT, 2018)

Deep Learning for Search and Recommender Systems in Practice. - Zhoutong Fu; Huiji Gao; Weiwei Guo; Sandeep Kumar Jha; Jun Jia; Xiaowei Liu; Bo Long; Jun Shi; Sida Wang 002; Mingzhou Zhou (KDD, 2020)

Logit Attenuating Weight Normalization. - Aman Gupta; Rohan Ramanath; Jun Shi; Anika Ramachandran; Sirou Zhou; Mingzhou Zhou; S. Sathiya Keerthi (CoRR, 2021)

Generalized Deep Mixed Models. - Jun Shi; Chengming Jiang; Aman Gupta; Mingzhou Zhou; Yunbo Ouyang; Qiang Charles Xiao; Qingquan Song; Yi (Alice) Wu; Haichao Wei; Huiji Gao (KDD, 2022)

LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. - 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; et al. (CIKM, 2024)

LiRank: Industrial Large Scale Ranking Models at LinkedIn. - 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; et al. (KDD, 2024)