Yiwen Zhu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 50

Top Topics

Emotion Recognition

Maximum Entropy

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

SIGMOD Conference Companion

Publications

Nick Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan
Lorentz: Learned SKU Recommendation Using Profile Data. Proc. ACM Manag. Data 2 (3) (2024)
Yi Song, Yiwen Zhu, Kun Chen-Hu, Xinhua Lu, Peng Sun, Zhongyong Wang
Hybrid Message Passing-Based Detectors for Uplink Grant-Free NOMA Systems. CoRR (2024)
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsuan Lo, Yijin Zhang
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. CoRR (2024)
Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez
VASIM: Vertical Autoscaling Simulator Toolkit. ICDE (2024)
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
Towards Building Autonomous Data Services on Azure. CoRR (2024)
Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. Proc. VLDB Endow. 17 (7) (2024)
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang
Age-of-Information Dependent Random Access for Periodic Updating. ICC Workshops (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS (2024)
Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur
Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. SIGMOD Conference Companion (2024)
Yiwen Zhu, Rathijit Sen, Robert Horton, John-Mark Agosta
Runtime Variation in Big Data Analytics. CoRR (2023)
Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu
Exploiting Structure in Regular Expression Queries. Proc. ACM Manag. Data 1 (2) (2023)
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang
Age-of-Information Dependent Random Access for Periodic Updating. CoRR (2023)
Yanzi Li, Yiwen Zhu, Yanqing Wang, Yiming Gao
Research on Dance Evaluation Technology Based on Human Posture Recognition. ICPCSEE (1) (2023)
Yiwen Zhu, Qinghong Xie
Research on optimal portfolio trading strategy based on decision to quantification model. ICISCAE (2023)
Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
Runtime Variation in Big Data Analytics. Proc. ACM Manag. Data 1 (1) (2023)
Yiwen Zhu, Wei Zhang, Yan Lin, Yuan-Hsun Lo, Yijin Zhang
Improving Age of Information in Large-Scale Energy Harvesting Networks. ICC Workshops (2023)
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion (2023)
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 Mueller, 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
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion (2023)
Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. Proc. VLDB Endow. 15 (12) (2022)
Yiwen Zhu, Zhaoyi Li, Yanzi Li, Yanqing Wang
Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis. ICPCSEE (1) (2022)
Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan
Stitcher: Learned Workload Synthesis from Historical Performance Footprints. EDBT (2022)
Yiwen Zhu, Kaiyu Gan, Zhong Yin
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition. CoRR (2022)
Xiang Chen, Dongxia Hu, Ruiqi Zhang, Zewei Pan, Yan Chen, Longhan Xie, Jun Luo, Yiwen Zhu
Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors. Frontiers Neuroinformatics 16 (2022)
Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. CoRR (2022)
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
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter. Eng. Appl. Artif. Intell. 106 (2021)
Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat. CoRR (2021)
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
Phoebe: A Learning-based Checkpoint Optimizer. Proc. VLDB Endow. 14 (11) (2021)
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
Phoebe: A Learning-based Checkpoint Optimizer. CoRR (2021)
Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. IEEE J. Biomed. Health Informatics 25 (7) (2021)
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
KEA: Tuning an Exabyte-Scale Data Infrastructure. CoRR (2021)
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
KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference (2021)
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
MLOS: An Infrastructure for Automated Software Performance Engineering. DEEM@SIGMOD (2020)
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
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li
Multi-matrices entropy discriminant ensemble learning for imbalanced problem. Neural Comput. Appl. 32 (12) (2020)
Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang
Feature rearrangement based deep learning system for predicting heart failure mortality. Comput. Methods Programs Biomed. 191 (2020)
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD (2020)
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
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. Proc. VLDB Endow. 14 (2) (2020)
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
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. CoRR (2020)
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
MLOS: An Infrastructure for Automated Software Performance Engineering. CoRR (2020)
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
Machine Learning at Microsoft with ML.NET. KDD (2019)
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
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR (2019)
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
Machine Learning at Microsoft with ML .NET. CoRR (2019)
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
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem. Appl. Intell. 49 (8) (2019)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there. CoRR (2019)
Konstantinos Karanasos, Yiwen Zhu, Abhiram Eswaran, Liqun Shao, Janhavi Suresh Mahajan, Subru Krishnan, Sudhir Darbha, Minsoo Thigpen, Kristin Lieber, Soundar Srinivasan, Siqi Liu, Carlo Curino
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Haris N. Koutsopoulos, Peyman Noursalehi, Yiwen Zhu, Nigel H. M. Wilson
Automated data in transit: Recent developments and applications. MT-ITS (2017)
Gang Xu, Yiwen Zhu, Meng Han
Broadband cognitive radio transmission based on sub-channel sensing and NC-OFDM. Int. J. Commun. Networks Inf. Secur. 2 (2) (2010)
Juntao Cui, Yiwen Zhu, Ning Gu, Yuwei Zong, Zhigang Ding, Shaohua Zhang, Quan Zhang
An Algorithm for Best Selection in Semantic Composition of Web Service. WAIM (2005)