| Isolation‐based anomaly detection using nearest‐neighbor ensembles TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells Computational Intelligence 34 (4), 968-998, 2018 | 160 | 2018 |
| Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016 | 146 | 2016 |
| Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure KM Ting, Y Zhu, M Carman, Y Zhu, ZH Zhou KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016 | 76 | 2016 |
| Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods M Su, Z Zhang, Y Zhu, D Zha, W Wen Energies 12 (9), 1680, 2019 | 68 | 2019 |
| Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm M Su, Z Zhang, Y Zhu, D Zha Energies 12 (6), 1094, 2019 | 64 | 2019 |
| Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering X Qin, KM Ting, Y Zhu, V Lee The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 50 | 2019 |
| An overview of clustering methods with guidelines for application in mental health research CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, J Bayer, JM Menssink, ... Psychiatry Research 327, 115265, 2023 | 44 | 2023 |
| A technical survey on statistical modelling and design methods for crowdsourcing quality control Y Jin, M Carman, Y Zhu, Y Xiang Artificial Intelligence 287, 103351, 2020 | 44 | 2020 |
| Clustering-enhanced stock price prediction using deep learning M Li, Y Zhu, Y Shen, M Angelova World Wide Web 26 (1), 207-232, 2023 | 35 | 2023 |
| A feature selection-based method for DDoS attack flow classification L Zhou, Y Zhu, T Zong, Y Xiang Future Generation Computer Systems 132, 67-79, 2022 | 29 | 2022 |
| Automated method for detecting acute insomnia using multi-night actigraphy data M Angelova, C Karmakar, Y Zhu, SPA Drummond, J Ellis IEEE Access 8, 74413-74422, 2020 | 29 | 2020 |
| Machine learning enabled team performance analysis in the dynamical environment of soccer S Kusmakar, S Shelyag, Y Zhu, D Dwyer, P Gastin, M Angelova IEEE access 8, 90266-90279, 2020 | 24 | 2020 |
| Local contrast as an effective means to robust clustering against varying densities B Chen, KM Ting, T Washio, Y Zhu Machine Learning 107, 1621-1645, 2018 | 23 | 2018 |
| CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network J Xiao, C Gan, Q Zhu, Y Zhu, G Liu Applied Soft Computing 141, 110312, 2023 | 22 | 2023 |
| Grouping Points by Shared Subspaces for Effective Subspace Clustering Y Zhu, KM Ting, MJ Carman Pattern Recognition 83, 230-244, 2018 | 22 | 2018 |
| A Distance Scaling Method to Improve Density-based Clustering Y Zhu, KM Ting, M Angelova Advances in Knowledge Discovery and Data Mining (PAKDD 2018), 2018 | 22 | 2018 |
| Commutative fragile zero-watermarking and encryption for image integrity protection M Li, D Xiao, Y Zhu, Y Zhang, L Sun Multimedia Tools and Applications 78, 22727-22742, 2019 | 20 | 2019 |
| Lowest Probability Mass Neighbour Algorithms: Relaxing the metric constraint in distance-based neighbourhood algorithms KM Ting, Y Zhu, M Carman, Y Zhu, T Washio, ZH Zhou Machine Learning, 2018 | 19 | 2018 |
| Hierarchical clustering that takes advantage of both density-peak and density-connectivity Y Zhu, KM Ting, Y Jin, M Angelova Information Systems, 2021 | 18 | 2021 |
| A machine learning model for multi-night actigraphic detection of chronic insomnia: development and validation of a pre-screening tool S Kusmakar, C Karmakar, Y Zhu, S Shelyag, SPA Drummond, JG Ellis, ... Royal Society open science 8 (6), 202264, 2021 | 18 | 2021 |
Kai Ming TingNanjing UniversityVerified email at nju.edu.cn
