Yiwen Zhu

According to our database, Yiwen Zhu authored at least 35 papers between 2005 and 2024.

Collaborative distances:

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

2024

Hybrid Message Passing-Based Detectors for Uplink Grant-Free NOMA Systems.

Yi Song, Yiwen Zhu, Kun Chen-Hu, Xinhua Lu, Peng Sun, Zhongyong Wang

CoRR, 2024

2023

Runtime Variation in Big Data Analytics.

Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta

Proc. ACM Manag. Data, 2023

Exploiting Structure in Regular Expression Queries.

Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu

Proc. ACM Manag. Data, 2023

Age-of-Information Dependent Random Access for Periodic Updating.

Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang

CoRR, 2023

Towards Building Autonomous Data Services on Azure.

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.

Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Research on Dance Evaluation Technology Based on Human Posture Recognition.

Yanzi Li, Yiwen Zhu, Yanqing Wang, Yiming Gao

Proceedings of the Data Science, 2023

Research on optimal portfolio trading strategy based on decision to quantification model.

Yiwen Zhu, Qinghong Xie

Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Improving Age of Information in Large-Scale Energy Harvesting Networks.

Yiwen Zhu, Wei Zhang, Yan Lin, Yuan-Hsun Lo, Yijin Zhang

Proceedings of the IEEE International Conference on Communications, 2023

Stitcher: Learned Workload Synthesis from Historical Performance Footprints.

Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.

Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan

Proc. VLDB Endow., 2022

Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors.

Xiang Chen, Dongxia Hu, Ruiqi Zhang, Zewei Pan, Yan Chen, Longhan Xie, Jun Luo, Yiwen Zhu

Frontiers Neuroinformatics, 2022

Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition.

Yiwen Zhu, Kaiyu Gan, Zhong Yin

CoRR, 2022

Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis.

Yiwen Zhu, Zhaoyi Li, Yanzi Li, Yanqing Wang

Proceedings of the Data Science, 2022

2021

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.

Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du

IEEE J. Biomed. Health Informatics, 2021

Phoebe: A Learning-based Checkpoint Optimizer.

Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

Proc. VLDB Endow., 2021

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter.

Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du

Eng. Appl. Artif. Intell., 2021

Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat.

Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei

CoRR, 2021

Phoebe: A Learning-based Checkpoint Optimizer.

Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

CoRR, 2021

KEA: Tuning an Exabyte-Scale Data Infrastructure.

Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.

Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu

Proc. VLDB Endow., 2020

Multi-matrices entropy discriminant ensemble learning for imbalanced problem.

Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li

Neural Comput. Appl., 2020

Feature rearrangement based deep learning system for predicting heart failure mortality.

Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang

Comput. Methods Programs Biomed., 2020

MLOS: An Infrastructure for Automated Software Performance Engineering.

Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

Vamsa: Automated Provenance Tracking in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Data Science through the looking glass and what we found there.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

CoRR, 2019

Machine Learning at Microsoft with ML .NET.

Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu

CoRR, 2019

Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.

Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du

Appl. Intell., 2019

Machine Learning at Microsoft with ML.NET.

Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu

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

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.

Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2017

Automated data in transit: Recent developments and applications.

Haris N. Koutsopoulos, Peyman Noursalehi, Yiwen Zhu, Nigel H. M. Wilson

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2010

Broadband cognitive radio transmission based on sub-channel sensing and NC-OFDM.

Gang Xu, Yiwen Zhu, Meng Han

Int. J. Commun. Networks Inf. Secur., 2010

2005

An Algorithm for Best Selection in Semantic Composition of Web Service.

Juntao Cui, Yiwen Zhu, Ning Gu, Yuwei Zong, Zhigang Ding, Shaohua Zhang, Quan Zhang

Proceedings of the Advances in Web-Age Information Management, 2005