A Survey of Deep Active Learning

Ren, Pengzhen, Xiao, Yun, Chang, Xiaojun, Huang, Po-Yao, Li, Zhihui, Gupta, Brij B., Chen, Xiaojiang, Wang, Xin·2022·ACM Computing Surveys
DOI 10.1145/3472291

Cited by (1,006)

Items 701–800 of 1,006

  1. Exploring and Exploiting Data-Free Model Stealing
    Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen · 2023 · Lecture notes in computer science
  2. Swiss Army VAE: comprehensive sensor data analysis via explainable AI
    John Helmsen, Brian Baracat-Donovan, Riley White, Thomas McCullough · 2023 · SPIE Conference on Artificial Intelligence for Security and Defence Applications
  3. Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset
    Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, Bangalore Ravi Kiran · 2023 · Communications in computer and information science
  4. Enhancing Robustness in Multi-modal CT Image Segmentation with a Clustering-based Deep Active Learning Approach
    Aisen Yang, Lulu Xu, Ziyi Liu, Na Qin, Deqing Huang · 2023 · CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
  5. Identification of Seizure Onset Zone from Intracranial EEG Using Source Selection-Based Domain Adaptation
    Keisuke Matsubayashi, Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano, Kosuke Fukumori, Xuyang Zhao, Toshihisa Tanaka · 2023 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  6. HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling
    Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  7. Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives
    Abm Adnan Azmee, Martin Brown, Md Abdullah Al Hafiz Khan, Dominic M. Thomas, Yong Pei, Monica Nandan · 2023 · IEEE International Conference on Big Data (BigData)
  8. Enhancing Cross-Project Just-In-Time Defect Prediction with Active Deep Learning
    Yue Wang, Yong Li, Yuan-yuan Ren, Junjie Yu · 2023 · IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
  9. Low-Rank Active Learning for Generating Speech-Drive Human Face Animation
    Hui Xu, Xiaoyang Yu, Cheng Yu, Mengqiong Xiao, Yue Yu · 2024 · IEEE Access
  10. I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
    Yao Rong, Peizhu Qian, Vaibhav Vasant Unhelkar, Enkelejda Kasneci · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  11. Calibration Methods for Automatic Seizure Detection Algorithms
    Ana Borovac, David Hringur Agustsson, Tómas Philip Rúnarsson, Steinn Guðmundsson · 2024 · Springer eBooks
  12. Model-data-driven adversarial active learning for brain tumor segmentation
    Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong · 2024 · Computers in Biology and Medicine
  13. An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight
    Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigridur Erla Sigurdardottir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Íslind · 2024 · Frontiers in Neuroinformatics
  14. Scalar bounded-from-below conditions from Bayesian active learning
    G. Wojcik · 2023 · Physical Review D
  15. Interactive Tablets: Catalyzing Engaged Science Learning in English Instruction
    Dee Jean Ong, Sarfraz Aslam, Amjad Islam Amjad · 2024 · World Journal of English Language
  16. Boosting Gesture Recognition with an Automatic Gesture Annotation Framework
    Junxiao Shen, Xuhai Xu, Ran Tan, Amy K. Karlson, Evan Strasnick · 2024 · International Conference on Automatic Face and Gesture Recognition
  17. EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning
    Isabella Rikarda Galter, Elida Schneltzer, Carsten Marr, IMPC Consortium, Nadine Spielmann, Martin Hrabě de Angelis · 2024 · Lecture notes in computer science
  18. Learning with Limited Labelled Data
    Christoffer Löffler, Rasmus Hvingelby, Jann Goschenhofer · 2024 · Springer eBooks
  19. Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems
    Yue Ming Jiang, Wenjing Li, Jian Kuang, Jun Zhang, Zhongcheng Wu, Mahdi Rezaei · 2024 · IEEE Transactions on Intelligent Transportation Systems
  20. Curvature index of image samples used to evaluate the interpretability informativeness
    Zhuo Zhang, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang · 2024 · Engineering Applications of Artificial Intelligence
  21. Human-in-the-Loop (HITL) Learning for Identifying Glioblastoma Hallmarks on H&E Slides
    Álvaro Andrés Sandino, Olivia K. Krebs, David Becerra, Nelly Jazmín Sandino, Jeffrey Helgager, Eduardo Romero, Pallavi Tiwari · 2024 · IEEE International Symposium on Biomedical Imaging (ISBI)
  22. CoMAL: Contrastive Active Learning for Multi-Label Text Classification
    Peng Cheng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  23. ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging
    Qi Liu, Jie Wei, Thomas Penzel, Maarten De Vos, Yuan Zhang, Zhiyi Huang, Mikhail Gur'evich Poluektov, Yulan Zhu, Chenyu Li · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  24. Active Learning for Biomedical Article Classification with Bag of Words and FastText Embeddings
    Paweł Cichosz · 2024 · Applied Sciences
  25. An Active Learning Framework for Continuous Rapid Rumor Detection in Evolving Social Media
    Zhejie Shao, Guoyong Cai, Qinghua Liu, Yunxian Shang · 2024 · International Joint Conference on Neural Networks (IJCNN)
  26. Single-Step Support Set Mining for Realistic Few-Shot Image Classification
    Chao Ye, Qian Wang, Lan-Fang Dong · 2024 · IEEE International Joint Conference on Neural Network
  27. Box-Level Class-Balanced Sampling For Active Object Detection
    Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai · 2024 · Proceedings - International Conference on Image Processing
  28. Machine Learning-Based Sparse Near-Field Scanning: When to Automatically Stop?
    Yuting Xie, Ling Zhang, Jinghai Guo, Yu-Ru Feng, Mingrui Xu, Da Li, Er‐Ping Li · 2024
  29. OSAL-ND: Open-Set Active Learning for Nucleus Detection
    Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao · 2024 · Lecture notes in computer science
  30. A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation
    Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona · 2024 · Lecture notes in computer science
  31. Active model selection: A variance minimization approach
    Satoshi Hara, Mitsuru Matsuura, Junya Honda, Shinji Ito · 2024 · Machine Learning
  32. A Communication-Efficient Machine Learning Framework for the Internet of Vehicles
    Bimal Ghimire, Danda B. Rawat · 2024 · IEEE Transactions on Cognitive Communications and Networking
  33. Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset Expansion
    Jingyun Bi, Wenxi Zhu, Jingyun He, Zhang Xin-shen, Chong Xian · 2024 · IEEE International Conference on Big Data (BigData)
  34. Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma
    Cédric Jung, Shirin Salehi, A. Schmeink · 2024 · BigData Congress [Services Society]
  35. Surrogate Model for Lunar Sampling Based on Bayesian Neural Network and Active Learning to Enhance Coring Efficiency
    Shuang Li, Zihao Yuan, Tao Du, Renxu Hao, Haifeng Zhao, Ke Wang · 2025 · Aerospace
  36. Efficient and Effective Model Extraction
    Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  37. Uncertainty-Informed Active Learning Using Monte Carlo Dropout for Risk Stratification in Carotid Ultrasound Imaging
    Theofanis Ganitidis, Μαρία Αθανασίου, Konstantina S. Nikita · 2024 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
  38. Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis
    Jiayi Chen, Benteng Ma, Hengfei Cui, Jingfeng Zhang, Yong Xia · 2025 · IEEE Journal of Biomedical and Health Informatics
  39. AROhI: An Interactive Toolkit for Estimating ROI of Data Analytics
    Noopur Zambare, Jacob Idoko, Jagrit Acharya, Gouri Ginde · 2025 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
  40. HiCAL: Hierarchical Consistency-Based Active Learning for Drone-View Object Detection
    Xingyu Zhang, Yongxu Liu, Aobo Li, Kun Han, Qinghang Zhao, Jinjian Wu · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  41. Towards low-cost surface inspection using artificial vision in practical industrial environments
    Rubén Usamentiaga, F. Menendez, Luis Pérez, Peláez Elvira · 2025 · IEEE Industry Applications Society Annual Meeting (IAS)
  42. Sparse Bayesian PC-Kriging modeling with multi-criteria active learning for structural reliability: Application to shield tunnel structures
    Jingxuan Zhang, Yanbing Fang, Kun Feng, Zhenyu Jin, Chuan He, Xiaoming Liang, Li Zhang · 2025 · Tunnelling and Underground Space Technology
  43. Role of Social Media in Disaster Management Using NLP and Deep Learning
    Pooja Rai, Sudhakar Kumar, Sunil K. Singh, Harkiran Kaur, Simran Jaggi, Varsha Arya, Brij Bhooshan Gupta · 2025 · Lecture notes in networks and systems
  44. Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection
    Hongrui Shi, Valentin Radu, Po Yang · 2025 · IEEE International Conference on Distributed Computing Systems (ICDCS)
  45. Automatic Electromagnetic Radiation Source Imaging and Localization Using Active and Unsupervised Machine Learning
    Jinghai Guo, Ling Zhang · 2026 · IEEE Transactions on Antennas and Propagation
  46. Evaluation of Citizen Opinion Extraction Across Cities
    Tetsuya Ishida, Yohei Seki, Atsushi Keyaki, Wakako Kashino, Noriko Kando · 2023 · Journal of Natural Language Processing
  47. CIRAL: a hybrid active learning framework for plankon taxa labeling
    Martin Lund Haug, Aya Saad, Annette Stahl · 2021 · IFAC-PapersOnLine
  48. Efficient User Localization in Wireless Networks Using Active Deep Learning
    Chuan Sun, Morteza Hashemi · 2021 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
  49. Impact of Stop Sets on Stopping Active Learning for Text Classification
    Luke Kurlandski, Michael Bloodgood · 2022 · IEEE International Conference on Semantic Computing (ICSC)
  50. CASL: Capturing Activity Semantics Through Location Information for Enhanced Activity Recognition
    Xiao Zhang, Cui Shan, Tao Zhu, Liming Chen, Fang Zhou, Huansheng Ning · 2023 · IEEE Transactions on Computational Biology and Bioinformatics
  51. Complementary Label Queries for Efficient Active Learning
    Shengyuan Liu, Tianlei Hu, Ke Chen, Yunqing Mao · 2023 · International Conference on Image and Graphics Processing (ICIGP)
  52. Scalable Batch Acquisition for Deep Bayesian Active Learning
    Aleksandr Rubashevskii, Daria Kotova, Maxim Panov · 2023 · Society for Industrial and Applied Mathematics eBooks
  53. Interpretability-Guided Human Feedback During Neural Network Training
    Pedro Serrano e Silva, Ricardo Cruz, ASM Shihavuddin, Tiago Gonçalves · 2023 · Lecture notes in computer science
  54. Reinforced Learning for Label-Efficient 3D Face Reconstruction
    Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  55. Active transfer learning for data-driven manufacturing process modelling
    Gengxiang Chen, Yingguang Li, Charyar Mehdi-Souzani, Xu Liu · 2023 · Procedia CIRP
  56. CHIA: CHoosing Instances to Annotate for Machine Translation
    Rajat Bhatnagar, Ananya Ganesh, Katharina Kann · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  57. AutoOPT: Data Generation and Optimization for Digital Twin Network (DTN)
    Mei Li, Cheng Zhou, Lu Lu, Ke Zhang, Tao Sun · 2023 · IEEE ... International Conference on Cloud Computing
  58. Exploring the impact of training datasets on Turkish stance detection
    Muhammed Said Zengin, BERK UTKU YENİSEY, Mücahid Kutlu · 2023 · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
  59. Um Farol para Criação e Avaliação de Cursos de Ciência de Dados: Os Referenciais Curriculares da SBC
    Angelo Roncalli Alencar Brayner, André C. P. L. F. de Carvalho, Duncan D. Ruiz, Eduardo Ogasawara · 2024
  60. Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
    Luiza Ribeiro Marnet, Yury Brodskiy, Stella Graßhof, Andrzej Wąsowski · 2024 · Communications in computer and information science
  61. Bucketized Active Sampling for learning ACOPF
    Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck · 2024 · Electric Power Systems Research
  62. Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.
    Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il‐Chul Moon · 2020 · arXiv (Cornell University)
  63. The Nature of Information, Semantics, and Effectiveness for Artificial Intelligence and Cognition
    Kerry Brown · 2021
  64. CebraEM: A practical workflow to segment cellular organelles in volume SEM datasets using a transferable CNN-based membrane prediction
    Julian Hennies, José Miguel Serra Lleti, Constantin Pape, Sultan Bekbayev, Viktoriia Gross, Anna Kreshuk, Yannick Schwab · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  65. Prediction-Guided Active Experiments
    Hongyu Chen, Ruicheng Ao, David Simchi‐Levi · 2024 · SSRN Electronic Journal
  66. Clustering of Temporal and Visual Data: Recent Advancements
    Mudgal, Priyanka · 2026 · Data
  67. An Optimization Framework for Resource Allocation in Multi-Tenant Communication Networks
    Kyle Polich, Bode Brad, Alex Reeves · 2021 · IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
  68. Edge-Based Bird Species Recognition via Active Learning
    Hicham Bellafkir, Markus Vogelbacher, Daniel M. Schneider, Markus Mühling, Nikolaus Korfhage, Bernd Freisleben · 2023 · Lecture notes in computer science
  69. Quality-Guaranteed and Cost-Effective Population Health Profiling: A Deep Active Learning Approach
    Long Chen, Jiang-Tao Wang, P. Thakuriah · 2023 · ACM Trans. Comput. Heal.
  70. A Multi-Candidate Batch Mode Active Learning Approach
    Xinxia WANG, Junli Wang, Chungang Yan · 2023 · International Conference on Machine Learning and Computing (ICMLC)
  71. Models Teaching Models: Improving Model Accuracy with Slingshot Learning
    Lachlan O’Neill, Nandini Anantharama, Satya Borgohain, Simon D. Angus · 2023 · Conference of the European Chapter of the Association for Computational Linguistics
  72. Electrochemical Biosensor with Machine Learning
    Yunliang Chen, Xiaohui Huang, Ao Long, Wei Han · 2023 · Springer eBooks
  73. Data-Centric AI
    Parikshit Narendra Mahalle, Gitanjali R. Shinde, Yashwant Sudhakar Ingle, Namrata Nishant Wasatkar · 2023 · Data-intensive research
  74. Uncertainty-aware complementary label queries for active learning
    Shengyuan Liu, Ke Chen, Tianlei Hu, Yunqing Mao · 2023 · Frontiers of Information Technology & Electronic Engineering
  75. An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling
    Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Mark Ren · 2023
  76. An Appraisal and Operating Characteristics of Major ML Methods Applicable in Healthcare and Health Science
    György Simon, Constantin Aliferis · 2024 · Health informatics
  77. Hierarchical Active Learning With Label Proportions on Data Regions
    Zhipeng Luo, Qiang Gao, Yazhou He, Hongjun Wang, Miloš Hauskrecht, Tianrui Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
  78. Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks
    Philipp Kohl, Yoka Krämer, Claudia Fohry, Bodo Kraft · 2024 · Communications in computer and information science
  79. Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification
    Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick · 2024 · Lecture notes in computer science
  80. An Active Learning Framework for Microseismic Event Detection
    Tamara Sobot, David Murray, Vladimir Stanković, Lina Stanković, Peidong Shi · 2024 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  81. DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study
    Alexander Wyss, Gabriela Morgenshtern, Amanda Hirsch-Hüsler, Jürgen Bernard · 2024 · IEEE Transactions on Visualization and Computer Graphics
  82. Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning
    Meng Shen, Yake Wei, Jianxiong Yin, Deepu Rajan, Di Hu, Simon Chong Wee See · 2024 · ACM International Conference on Multimedia in Asia (MMAsia)
  83. A Scalable Algorithm for Active Learning
    Youguang Chen, Zheyu Wen, George Biros · 2024 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
  84. On combining active learning and deep learning from label proportions in low-budget regimes
    Lucas M. Tassis, Giovanni Comarela · 2025 · Progress in Artificial Intelligence
  85. Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers
    Tomohiro Wataya, Azusa Miura, Takahisa Sakisuka, Masahiro Fujiwara, Hideshige Tanaka, Yu Hiraoka, Junya Sato, Miyuki Tomiyama, Daiki Nishigaki, Kosuke Kita et al. · 2025 · International Journal of Computer Assisted Radiology and Surgery
  86. Co-active: an efficient selective relabeling model for resource constrained edge AI
    Chenyu Hou, Kai Jiang, Tiantian Li, Meng Zhou, Jun Jiang · 2025 · Wireless Networks
  87. Leveraging active learning for ocean data quality assessment: reducing labeling workload and addressing severe data imbalance challenges
    Na Li, Yi-Yang Qi, Ru-Yue Xin, Peide Zhu, Zhi-Ming Zhao · 2025 · International Journal of Data Science and Analysis
  88. Uncertainty-guided Active Learning with Theoretical Bounds on Label Complexity
    Deepesh Agarwal, Balasubramaniam Natarajan · 2025 · ACM transactions on probabilistic machine learning.
  89. Efficient Semantic Segmentation via Advanced Prompt Tuning Techniques
    Rima Hasna Yamouni, Rim Trabelsi, Adnane Cabani, Fatma Abdelkefi · 2025 · International Wireless Communications and Mobile Computing Conference (IWCMC)
  90. Efficient Selection of Rare Pathology Samples from Unlabeled Medical Data via Deep Active Learning
    Ioannis S. Kafetzis, Alexander Hann, George F. Fragulis · 2025 · International Conference on Modern Circuits and Systems Technologies
  91. Bringing balance to hand shape classification: Mitigating data imbalance through generative models
    Gastón Gustavo Ríos, Pedro Dal Bianco, Franco Ronchetti, Facundo Manuel Quiroga, Oscar Stanchi, Santiago Ponte Ahón, Waldo Hasperué · 2025 · Applied Soft Computing
  92. Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results
    Laura Shub, Magdalena Korczynska, Duncan F. Muir, Fang‐Yu Lin, Brendan W. Hall, Alan M. Mathiowetz, Michael J. Keiser · 2025 · Journal of Chemical Information and Modeling
  93. Optimizing Reasoning Engines Using TF-IDF Vectorization Approach for Enhanced Toxicity Classification
    Manya Girdhar, Sudhakar Kumar, Sarjana Singh, Rashmi Pal, Varsha Arya, Razaz Waheeb Attar, Brij Bhooshan Gupta, Kwok Tai Chui · 2025 · Communications in computer and information science
  94. Fairness-Aware Active Online Learning with Changing Environments
    Sadaf Md Halim, Chen Zhao, Xintao Wu, Latifur R. Khan, Christan Grant, Feng Chen · 2025 · IEEE International Conference on Data Engineering (ICDE)
  95. Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
    Gregory M. Campbell, Gentian Muhaxheri, Leonardo Ferreira Guilhoto, Christian D. Santangelo, Paris G. Perdikaris, James H. Pikul, Mark H. Yim · 2025 · IEEE Robotics and Automation Letters
  96. Active Cross-Modal Domain Adaptation
    Xuan Yao, Peng Xiao, Junyu Gao, Zhaoquan Yuan, Xiao Ying Wu, Changsheng Xu · 2025 · IEEE Transactions on Multimedia
  97. OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
    Lanfeng Zhong, Xin Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang · 2025 · Lecture notes in computer science
  98. Deep learning for simulating the evolution of condensed matter systems at the continuum scale: methods and applications
    Daniele Lanzoni, Francesco Montalenti, Roberto Bergamaschini · 2025 · Journal of Physics Condensed Matter
  99. On Active Labeling 3D Point Clouds via Contrastive Learning
    Guoqing Yang, Wentao Lai, Hui Huang · 2023 · Journal of Computer-Aided Design & Computer Graphics
  100. FOSS: A learned doctor for query optimization
    Kai Zhong, Luming Sun, Tao Ji, Pengju Liu, Cuiping Li, Hong Chen · 2025 · The VLDB Journal