Yiwen Zhu

76 papers A* 4A 3B 2Journal 48Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Sparse-Integrated Filtering Residual Spiking Neural Network for High-Accuracy Spike Sorting and Co-Optimization on Memristor Platforms.
IEEE Trans. Biomed. Circuits Syst.
Yiwen Zhu, Jingyi Chen, Lingli Cheng, Fangduo Zhu, Xumeng Zhang, Qi Liu
2026 J jnl
A Spatio-Temporal Liquid Learning Network for Robust Electromagnetic Signal Identification in 6G RIS-Aided UAV Cognitive Communications With Composite Channel Impairments.
IEEE Trans. Cogn. Commun. Netw.
YuQing Xu, Zeliang An, Chaosan Yang, Yiwen Zhu, Abdullah Tahir, Kun Wang, Gert Frølund Pedersen, Ming Shen
2026 J jnl
Age-Aware Random Access for Large-Scale Internet of Things Under Strict Delivery Deadline.
IEEE Wirel. Commun. Lett.
Jie Ding, Yuqing Zhu, Yiwen Zhu, Kangkang Xu, Yuan-Hsun Lo, Yijin Zhang
2026 — conf
ENCO: Deploying Production-Scale Engineering Copilots.
KDD (1)
Yiwen Zhu, Mathieu B. Demarne, Kai Deng, Wenjing Wang, Nutan Sahoo, Hannah Lerner, Anjali Bhavan, Divya Vermareddy, Yunlei Lu, Swati Bararia, William Zhang, Xia Li, Katherine Lin, Miso Cilimdzic, Subru Krishnan
2026 J jnl
Improving Age of Information for Frame Slotted ALOHA Under Multiple-Packet Reception.
IEEE Trans. Commun.
Yijin Zhang, Yuqing Zhu, Yiwen Zhu, Yuan-Hsun Lo, Tsai-Lien Wong, Kangkang Xu
2025 J jnl
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating.
IEEE Trans. Commun.
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsun Lo, Yijin Zhang
2025 — conf
Autotuning Systems: Techniques, Challenges, and Opportunities.
SIGMOD Conference Companion
Brian Kroth, Sergiy Matusevych, Yiwen Zhu
2025 J jnl
Combined BP-MF algorithm for cluster sparse non-stationary channel of massive MIMO.
Phys. Commun.
Xinhua Lu, Yiwen Zhu, Linlin Mo, Yan Xiao, Xiangchuan Gao
2025 J jnl
Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes.
Appl. Soft Comput.
Yiwen Zhu, Jiehao Tang, Hongjuan Wei, Kaiyu Gan, Jianhua Zhang, Zhong Yin
2025 J jnl
Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features.
Expert Syst. Appl.
Jing Zhang, Wenlong Wu, Jiehao Tang, Yiwen Zhu, Jianhua Zhang, Zhong Yin
2025 A conf
FLAIR: Feedback Learning for Adaptive Information Retrieval.
CIKM
William Zhang, Yiwen Zhu, Yunlei Lu, Mathieu B. Demarne, Wenjing Wang, Kai Deng, Nutan Sahoo, Katherine Lin, Miso Cilimdzic, Subru Krishnan
2025 J jnl
FLAIR: Feedback Learning for Adaptive Information Retrieval.
CoRR
William Zhang, Yiwen Zhu, Yunlei Lu, Mathieu B. Demarne, Wenjing Wang, Kai Deng, Nutan Sahoo, Katherine Lin, Miso Cilimdzic, Subru Krishnan
2025 J jnl
Horizon: Robust Checks for SQL Migration Using LLMs.
Proc. VLDB Endow.
K. Venkatesh Emani, Wenjing Wang, Zi Ye, Jia He, Neel Ball, Kumaraswamy Boora, Carlo Curino, Avrilia Floratou, Manan Goenka, Paridhi Gupta, Vivek Gupta, Katherine Lin, Nick Litombe, Jared Meade, Suryakant Mutnal, Raghu Ramakrishnan, Sudhir Raparla, Dhruv Relwani, Shyam Sai, Vaibhave Sekar, Roneet Shaw, Harmeet Singh, Prasanna Sridharan, Mark Taylor, Sunidhi Tiwari, Yiwen Zhu
2025 B conf
Multi-Reward Fusion: Learning from Other Policies through Distillation.
IJCNN
Yiwen Zhu, Jinyi Liu, Wenya Wei, Zhou Fang
2025 J jnl
Optimizing open-domain question answering with graph-based retrieval augmented generation.
CoRR
Joyce Cahoon, Prerna Singh, Nick Litombe, Jonathan Larson, Ha Trinh, Yiwen Zhu, Andreas Müller, Fotis Psallidas, Carlo Curino
2025 — conf
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment.
SIGMOD Conference Companion
Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan
2025 — conf
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables.
SIGMOD Conference Companion
Daniel Sotolongo, Daniel Mills, Tyler Akidau, Anirudh Santhiar, Attila-Péter Tóth, Botong Huang, Boyuan Zhang, Igor Belianski, Ling Geng, Matt Uhlar, Nikhil Shah, Olivia Zhou, Saras Nowak, Sasha Lionheart, Vlad Lifliand, Wendy Grus, Yiwen Zhu, Ankur Sharma, Dzmitry Pauliukevich, Enrico Sartorello, Ilaria Battiston, Ivan Kalev, Lawrence Benson, Leon Papke, Niklas Semmler, Till Merker, Yi Huang
2025 J jnl
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables.
CoRR
Daniel Sotolongo, Daniel Mills, Tyler Akidau, Anirudh Santhiar, Attila-Péter Tóth, Ilaria Battiston, Ankur Sharma, Botong Huang, Boyuan Zhang, Dzmitry Pauliukevich, Enrico Sartorello, Igor Belianski, Ivan Kalev, Lawrence Benson, Leon Papke, Ling Geng, Matt Uhlar, Nikhil Shah, Niklas Semmler, Olivia Zhou, Saras Nowak, Sasha Lionheart, Till Merker, Vlad Lifliand, Wendy Grus, Yi Huang, Yiwen Zhu
2024 J jnl
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating.
CoRR
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsuan Lo, Yijin Zhang
2024 — conf
Age-of-Information Dependent Random Access for Periodic Updating.
ICC Workshops
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang
2024 — conf
Analysis of Chronic Disease Severity Using Machine Learning Approaches.
ICBAR
Yiwen Zhu
2024 J jnl
DECO: Life-Cycle Management of Enterprise-Grade Chatbots.
CoRR
Yiwen Zhu, Mathieu B. Demarne, Kai Deng, Wenjing Wang, Nutan Sahoo, Divya Vermareddy, Hannah Lerner, Yunlei Lu, Swati Bararia, Anjali Bhavan, William Zhang, Xia Li, Katherine Lin, Miso Cilimdzic, Subru Krishnan
2024 J jnl
Hybrid Message Passing-Based Detectors for Uplink Grant-Free NOMA Systems.
CoRR
Yi Song, Yiwen Zhu, Kun Chen-Hu, Xinhua Lu, Peng Sun, Zhongyong Wang
2024 J jnl
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.
CoRR
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
2024 J jnl
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.
Proc. VLDB Endow.
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
2024 J jnl
Lorentz: Learned SKU Recommendation Using Profile Data.
CoRR
Nicholas Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan
2024 J jnl
Lorentz: Learned SKU Recommendation Using Profile Data.
Proc. ACM Manag. Data
Nick Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan
2024 J jnl
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud.
Proc. VLDB Endow.
Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian
2024 — conf
Multi-agent Formation Maintaining RRT
AIM
Yiwen Zhu, Jiawei Hu, Zhenhua Xiong
2024 J jnl
Towards Building Autonomous Data Services on Azure.
CoRR
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
2024 A* conf
VASIM: Vertical Autoscaling Simulator Toolkit.
ICDE
Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez
2024 — conf
Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud.
SIGMOD Conference Companion
Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur
2024 A* conf
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.
IJCAI
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024 J jnl
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.
CoRR
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024 A conf
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.
AAMAS
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2023 J jnl
Age-of-Information Dependent Random Access for Periodic Updating.
CoRR
Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang
2023 — conf
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
SIGMOD Conference Companion
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023 J jnl
Exploiting Structure in Regular Expression Queries.
Proc. ACM Manag. Data
Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu
2023 — conf
Improving Age of Information in Large-Scale Energy Harvesting Networks.
ICC Workshops
Yiwen Zhu, Wei Zhang, Yan Lin, Yuan-Hsun Lo, Yijin Zhang
2023 — conf
Research on Dance Evaluation Technology Based on Human Posture Recognition.
ICPCSEE (1)
Yanzi Li, Yiwen Zhu, Yanqing Wang, Yiming Gao
2023 — conf
Research on optimal portfolio trading strategy based on decision to quantification model.
ICISCAE
Yiwen Zhu, Qinghong Xie
2023 J jnl
Runtime Variation in Big Data Analytics.
CoRR
Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2023 J jnl
Runtime Variation in Big Data Analytics.
Proc. ACM Manag. Data
Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2023 B conf
Stitcher: Learned Workload Synthesis from Historical Performance Footprints.
EDBT
Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan
2023 — conf
Towards Building Autonomous Data Services on Azure.
SIGMOD Conference Companion
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
2022 — conf
Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis.
ICPCSEE (1)
Yiwen Zhu, Zhaoyi Li, Yanzi Li, Yanqing Wang
2022 J jnl
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec.
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
2022 J jnl
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.
CoRR
Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan
2022 J jnl
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.
Proc. VLDB Endow.
Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan
2022 J jnl
Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors.
Frontiers Neuroinformatics
Xiang Chen, Dongxia Hu, Ruiqi Zhang, Zewei Pan, Yan Chen, Longhan Xie, Jun Luo, Yiwen Zhu
2022 J jnl
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition.
CoRR
Yiwen Zhu, Kaiyu Gan, Zhong Yin
2021 J jnl
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics
Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du
2021 J jnl
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat.
CoRR
Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei
2021 — conf
KEA: Tuning an Exabyte-Scale Data Infrastructure.
SIGMOD Conference
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
2021 J jnl
KEA: Tuning an Exabyte-Scale Data Infrastructure.
CoRR
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
2021 J jnl
Phoebe: A Learning-based Checkpoint Optimizer.
CoRR
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021 J jnl
Phoebe: A Learning-based Checkpoint Optimizer.
Proc. VLDB Endow.
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021 J jnl
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter.
Eng. Appl. Artif. Intell.
Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
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
2020 J jnl
Feature rearrangement based deep learning system for predicting heart failure mortality.
Comput. Methods Programs Biomed.
Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang
2020 — conf
MLOS: An Infrastructure for Automated Software Performance Engineering.
DEEM@SIGMOD
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
2020 J jnl
MLOS: An Infrastructure for Automated Software Performance Engineering.
CoRR
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
2020 J jnl
Multi-matrices entropy discriminant ensemble learning for imbalanced problem.
Neural Comput. Appl.
Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
CoRR
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
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
Proc. VLDB Endow.
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
2020 A* conf
Vamsa: Automated Provenance Tracking in Data Science Scripts.
KDD
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
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
2019 J jnl
Data Science through the looking glass and what we found there.
CoRR
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019 — conf
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.
SoCC
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
2019 J jnl
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.
CoRR
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
2019 J jnl
Machine Learning at Microsoft with ML .NET.
CoRR
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
2019 A* conf
Machine Learning at Microsoft with ML.NET.
KDD
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
2019 J jnl
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.
Appl. Intell.
Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du
2017 — conf
Automated data in transit: Recent developments and applications.
MT-ITS
Haris N. Koutsopoulos, Peyman Noursalehi, Yiwen Zhu, Nigel H. M. Wilson
2010 J jnl
Broadband cognitive radio transmission based on sub-channel sensing and NC-OFDM.
Int. J. Commun. Networks Inf. Secur.
Gang Xu, Yiwen Zhu, Meng Han
2005 — conf
An Algorithm for Best Selection in Semantic Composition of Web Service.
WAIM
Juntao Cui, Yiwen Zhu, Ning Gu, Yuwei Zong, Zhigang Ding, Shaohua Zhang, Quan Zhang