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 (WAIM, 2005)

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)

Automated data in transit: Recent developments and applications. - Haris N. Koutsopoulos; Peyman Noursalehi; Yiwen Zhu; Nigel H. M. Wilson (MT-ITS, 2017)

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 (SoCC, 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; et al. (KDD, 2019)

Multi-view learning with fisher kernel and bi-bagging for imbalanced problem. - Zhe Wang 002; Yiwen Zhu; Zhaozhi Chen; Jing Zhang 041; 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; Eric Erhardt; Costin Eseanu; Senja Filipi; Tom Finley; et al. (CoRR, 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 001; Ce Zhang 001; Subru Krishnan; Carlo Curino; Markus Weimer (CoRR, 2019)

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 001; et al. (CIDR, 2020)

Vamsa: Automated Provenance Tracking in Data Science Scripts. - Mohammad Hossein Namaki; Avrilia Floratou; Fotis Psallidas; Subru Krishnan; Ashvin Agrawal; Yinghui Wu 001; Yiwen Zhu; Markus Weimer (KDD, 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 (DEEM@SIGMOD, 2020)

Feature rearrangement based deep learning system for predicting heart failure mortality. - Zhe Wang 002; Yiwen Zhu; Dongdong Li; Yichao Yin; Jing Zhang 041 (Comput. Methods Programs Biomed., 2020)

Multi-matrices entropy discriminant ensemble learning for imbalanced problem. - Zhe Wang 002; Zhaozhi Chen; Yiwen Zhu; Jing Zhang 041; Wenli Du; Dongdong Li (Neural Comput. Appl., 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; et al. (Proc. VLDB Endow., 2020)

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; et al. (SIGMOD Conference, 2021)

Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat. - Yiwen Zhu; Zhou Fang; Yuan Zheng; Wenya Wei (CoRR, 2021)

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter. - Tianhao Gu; Zhe Wang 002; Ziqiu Chi; Yiwen Zhu; Wenli Du (Eng. Appl. Artif. Intell., 2021)

Phoebe: A Learning-based Checkpoint Optimizer. - Yiwen Zhu; Matteo Interlandi; Abhishek Roy 008; Krishnadhan Das; Hiren Patel; Malay Bag; Hitesh Sharma; Alekh Jindal (Proc. VLDB Endow., 2021)

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. - Zhe Wang 002; Tianhao Gu; Yiwen Zhu; Dongdong Li; Hai Yang 002; Wenli Du (IEEE J. Biomed. Health Informatics, 2021)

Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis. - Yiwen Zhu; Zhaoyi Li; Yanzi Li; Yanqing Wang (ICPCSEE (1), 2022)

Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition. - Yiwen Zhu; Kaiyu Gan; Zhong Yin (CoRR, 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)

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. - Joyce Cahoon; Wenjing Wang 005; Yiwen Zhu; Katherine Lin; Sean Liu; Raymond Truong; Neetu Singh; Chengcheng Wan 001; Alexandra M. Ciortea; Sreraman Narasimhan; Subru Krishnan (Proc. VLDB Endow., 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 001; Ce Zhang 001; Markus Weimer; Avrilia Floratou; et al. (SIGMOD Rec., 2022)

Stitcher: Learned Workload Synthesis from Historical Performance Footprints. - Chengcheng Wan 001; Yiwen Zhu; Joyce Cahoon; Wenjing Wang 005; Katherine Lin; Sean Liu; Raymond Truong; Neetu Singh; Alexandra M. Ciortea; Konstantinos Karanasos; Subru Krishnan (EDBT, 2023)

Improving Age of Information in Large-Scale Energy Harvesting Networks. - Yiwen Zhu; Wei Zhang; Yan Lin 004; Yuan-Hsun Lo; Yijin Zhang (ICC Workshops, 2023)

Research on optimal portfolio trading strategy based on decision to quantification model. - Yiwen Zhu; Qinghong Xie (ICISCAE, 2023)

Research on Dance Evaluation Technology Based on Human Posture Recognition. - Yanzi Li; Yiwen Zhu; Yanqing Wang; Yiming Gao 011 (ICPCSEE (1), 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 001; Yiwen Zhu (SIGMOD Conference Companion, 2023)

Towards Building Autonomous Data Services on Azure. - Yiwen Zhu; Yuanyuan Tian 001; Joyce Cahoon; Subru Krishnan; Ankita Agarwal; Rana Alotaibi; Jesús Camacho-Rodríguez; Bibin Chundatt; Andrew Chung; Niharika Dutta; Andrew Fogarty; Anja Gruenheid; et al. (SIGMOD Conference Companion, 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)

Runtime Variation in Big Data Analytics. - Yiwen Zhu; Rathijit Sen; Robert Horton; John Mark Agosta (Proc. ACM Manag. Data, 2023)

Multi-agent Formation Maintaining RRT* (MFM-RRT*) Considering Formation Maintenance. - Yiwen Zhu; Jiawei Hu; Zhenhua Xiong (AIM, 2024)

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (AAMAS, 2024)

Analysis of Chronic Disease Severity Using Machine Learning Approaches. - Yiwen Zhu (ICBAR, 2024)

Age-of-Information Dependent Random Access for Periodic Updating. - Yuqing Zhu 010; Yiwen Zhu; Aoyu Gong; Yan Lin 004; Yijin Zhang (ICC Workshops, 2024)

VASIM: Vertical Autoscaling Simulator Toolkit. - Anna Pavlenko; Karla Saur; Yiwen Zhu; Brian Kroth; Joyce Cahoon; Jesús Camacho-Rodríguez (ICDE, 2024)

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (IJCAI, 2024)

Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. - Anna Pavlenko; Joyce Cahoon; Yiwen Zhu; Brian Kroth; Michael Nelson; Andrew Carter; David Liao; Travis Wright; Jesús Camacho-Rodríguez; Karla Saur (SIGMOD Conference Companion, 2024)

Hybrid Message Passing-Based Detectors for Uplink Grant-Free NOMA Systems. - Yi Song; Yiwen Zhu; Kun Chen-Hu; Xinhua Lu; Peng Sun 002; Zhongyong Wang (CoRR, 2024)

Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. - Yuqing Zhu 010; Yiwen Zhu; Aoyu Gong; Yan Lin 004; Yuan-Hsuan Lo; Yijin Zhang (CoRR, 2024)

Lorentz: Learned SKU Recommendation Using Profile Data. - Nicholas Glaze; Tria McNeely; Yiwen Zhu; Matthew Gleeson; Helen Serr; Rajeev Bhopi; Subru Krishnan (CoRR, 2024)

DECO: Life-Cycle Management of Enterprise-Grade Chatbots. - Yiwen Zhu; Mathieu B. Demarne; Kai Deng; Wenjing Wang 005; Nutan Sahoo; Divya Vermareddy; Hannah Lerner; Yunlei Lu; Swati Bararia; Anjali Bhavan; William Zhang; Xia Li; et al. (CoRR, 2024)

Lorentz: Learned SKU Recommendation Using Profile Data. - Nick Glaze; Tria McNeely; Yiwen Zhu; Matthew Gleeson; Helen Serr; Rajeev Bhopi; Subru Krishnan (Proc. ACM Manag. Data, 2024)

Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. - Deepak Ravikumar; Alex Yeo; Yiwen Zhu; Aditya Lakra; Harsha Nagulapalli; Santhosh Ravindran; Steve Suh; Niharika Dutta; Andrew Fogarty; Yoonjae Park; Sumeet Khushalani; Arijit Tarafdar; et al. (Proc. VLDB Endow., 2024)

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. - Brian Kroth; Sergiy Matusevych; Rana Alotaibi; Yiwen Zhu; Anja Gruenheid; Yuanyuan Tian 001 (Proc. VLDB Endow., 2024)

Autotuning Systems: Techniques, Challenges, and Opportunities. - Brian Kroth; Sergiy Matusevych; Yiwen Zhu (SIGMOD Conference Companion, 2025)

Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables. - Daniel Sotolongo; Daniel Mills; Tyler Akidau; Anirudh Santhiar; Attila-Péter Tóth; Botong Huang; Boyuan Zhang 004; Igor Belianski; Ling Geng; Matt Uhlar; Nikhil Shah; Olivia Zhou; et al. (SIGMOD Conference Companion, 2025)

Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. - Yiwen Zhu; Rathijit Sen; Brian Kroth; Sergiy Matusevych; Andreas C. Mueller; Tengfei Huang; Rahul Challapalli; Weihan Tang; Xin He; Mo Liu 003; Estera Kot; Sule Kahraman; et al. (SIGMOD Conference Companion, 2025)

Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes. - Yiwen Zhu; Jiehao Tang; Hongjuan Wei; Kaiyu Gan; Jianhua Zhang 004; Zhong Yin (Appl. Soft Comput., 2025)

Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features. - Jing Zhang 107; Wenlong Wu; Jiehao Tang; Yiwen Zhu; Jianhua Zhang 004; Zhong Yin (Expert Syst. Appl., 2025)

Combined BP-MF algorithm for cluster sparse non-stationary channel of massive MIMO. - Xinhua Lu; Yiwen Zhu; Linlin Mo; Yan Xiao; Xiangchuan Gao (Phys. Commun., 2025)

Optimizing open-domain question answering with graph-based retrieval augmented generation. - Joyce Cahoon; Prerna Singh; Nick Litombe; Jonathan Larson; Ha Trinh; Yiwen Zhu; Andreas Müller 024; Fotis Psallidas; Carlo Curino (CoRR, 2025)

FLAIR: Feedback Learning for Adaptive Information Retrieval. - William Zhang; Yiwen Zhu; Yunlei Lu; Mathieu B. Demarne; Wenjing Wang 005; Kai Deng; Nutan Sahoo; Katherine Lin; Miso Cilimdzic; Subru Krishnan (CoRR, 2025)

Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. - Yuqing Zhu 010; Yiwen Zhu; Aoyu Gong; Yan Lin 004; Yuan-Hsun Lo; Yijin Zhang (IEEE Trans. Commun., 2025)