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2020 – today
- 2024
[j16]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): 149 (2024)- [j15]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): 1618-1627 (2024) - [j14]Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian:
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. Proc. VLDB Endow. 17(12): 4269-4272 (2024) - [c21]Yiwen Zhu, Jiawei Hu, Zhenhua Xiong:
Multi-agent Formation Maintaining RRT* (MFM-RRT*) Considering Formation Maintenance. AIM 2024: 1518-1523 - [c20]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: 2621-2623 - [c19]Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang:
Age-of-Information Dependent Random Access for Periodic Updating. ICC Workshops 2024: 1189-1194 - [c18]Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez:
VASIM: Vertical Autoscaling Simulator Toolkit. ICDE 2024: 5413-5416 - [c17]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. IJCAI 2024: 5725-5733 - [c16]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: 241-254 - [i17]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 abs/2401.14611 (2024) - [i16]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 abs/2405.01813 (2024) - [i15]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 abs/2405.08638 (2024) - [i14]Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsuan Lo, Yijin Zhang:
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. CoRR abs/2406.00720 (2024) - 2023
- [j13]Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta:
Runtime Variation in Big Data Analytics. Proc. ACM Manag. Data 1(1): 67:1-67:20 (2023) - [j12]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): 152:1-152:28 (2023) - [c15]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 2023: 417-423 - [c14]Yiwen Zhu, Wei Zhang, Yan Lin, Yuan-Hsun Lo, Yijin Zhang:
Improving Age of Information in Large-Scale Energy Harvesting Networks. ICC Workshops 2023: 1173-1178 - [c13]Yiwen Zhu, Qinghong Xie:
Research on optimal portfolio trading strategy based on decision to quantification model. ICISCAE 2023: 528-532 - [c12]Yanzi Li, Yiwen Zhu, Yanqing Wang, Yiming Gao:
Research on Dance Evaluation Technology Based on Human Posture Recognition. ICPCSEE (1) 2023: 78-88 - [c11]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: 123-126 - [c10]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. SIGMOD Conference Companion 2023: 217-224 - [i13]Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta:
Runtime Variation in Big Data Analytics. CoRR abs/2304.03424 (2023) - [i12]Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang:
Age-of-Information Dependent Random Access for Periodic Updating. CoRR abs/2307.02801 (2023) - 2022
- [j11]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) - [j10]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): 3509-3521 (2022) - [j9]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): 30-37 (2022) - [c9]Yiwen Zhu, Zhaoyi Li, Yanzi Li, Yanqing Wang:
Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis. ICPCSEE (1) 2022: 67-79 - [i11]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 abs/2208.04978 (2022) - [i10]Yiwen Zhu, Kaiyu Gan, Zhong Yin:
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition. CoRR abs/2208.11087 (2022) - 2021
- [j8]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: 104488 (2021) - [j7]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): 2505-2518 (2021) - [j6]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): 2533-2544 (2021) - [c8]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: 2667-2680 - [i9]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 abs/2106.11445 (2021) - [i8]Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
Phoebe: A Learning-based Checkpoint Optimizer. CoRR abs/2110.02313 (2021) - [i7]Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei:
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat. CoRR abs/2112.01328 (2021) - 2020
- [j5]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: 105383 (2020) - [j4]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): 8245-8264 (2020) - [j3]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): 154-162 (2020) - [c7]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 - [c6]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: 1542-1551 - [c5]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: 3:1-3:5 - [i6]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 abs/2006.02155 (2020) - [i5]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 abs/2009.12922 (2020)
2010 – 2019
- 2019
- [j2]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): 3109-3122 (2019) - [c4]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: 441-452 - [c3]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: 2448-2458 - [i4]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 abs/1905.05715 (2019) - [i3]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 abs/1908.09048 (2019) - [i2]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 abs/1909.00084 (2019) - [i1]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 abs/1912.09536 (2019) - 2017
- [c2]Haris N. Koutsopoulos, Peyman Noursalehi, Yiwen Zhu, Nigel H. M. Wilson:
Automated data in transit: Recent developments and applications. MT-ITS 2017: 604-609 - 2010
- [j1]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)
2000 – 2009
- 2005
- [c1]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: 816-821
Coauthor Index
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