| Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost C Wang, C Deng, S Wang Pattern Recognition Letters, 2020 | 229 | 2020 |
| Integrating Wildfires Propagation Prediction into Early Warning of Electrical Transmission Line Outages S DIAN, P CHENG, Q YE, J WU, R LUO, C WANG, D HUI, N ZHOU, ... IEEE Access 7, 27586, 2019 | 46 | 2019 |
| Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions S Assadi, C Wang 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) 215, 2022 | 25 | 2022 |
| Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification C Wang, C Deng, Z Yu, D Hui, X Gong, R Luo Information Fusion, 2020 | 21 | 2020 |
| Exploration with limited memory: streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits S Assadi, C Wang Proceedings of the 52nd Annual ACM SIGACT Symposium on theory of computing …, 2020 | 18 | 2020 |
| Bagging of Xgboost Classifiers with Random Under-sampling and Tomek Link for Noisy Label-imbalanced Data L Ruisen, D Songyi, W Chen, C Peng, T Zuodong, Y YanMei, W Shixiong In IOP Conference Series: Materials Science and Engineering (CACRE 2018) 428 …, 2018 | 15 | 2018 |
| Feature Learning with a Divergence-Encouraging Autoencoder for Imbalanced Data Classification R LUO, Q FENG, C WANG, X YANG, H TU, QIN YU, S FEI, X GONG IEEE Access 6 (1), 70197, 2018 | 9 | 2018 |
| The Definition and Numerical Method of Final Value Problem and Arbitrary Value Problem S Wang, J He, C Wang, X Li Computer System Science and Engineering (CSSE) 33 (5), 2018 | 7 | 2018 |
| Robust propensity score computation method based on machine learning with label-corrupted data C Wang, S Wang, F Shi, Z Wang arXiv preprint arXiv:1801.03132, 2018 | 7 | 2018 |
| Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds S Assadi, V Chatziafratis, J Lącki, V Mirrokni, C Wang Conference on Learning Theory, 4643-4702, 2022 | 6 | 2022 |
| SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations C Wang, C Deng, V Ivanov 2020 International Joint Conference on Neural Networks (IJCNN), 2020 | 6 | 2020 |
| Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity S Assadi, C Wang Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| On the Global Self-attention Mechanism for Graph Convolutional Networks C Wang, C Deng 25th International Conference on Pattern Recognition (ICPR), 8531-8538, 2021 | 5 | 2021 |
| Scalar Quantization as Sparse Least Square Optimization C Wang, X Yang, S Fei, K Zhou, X Gong, M Du, R Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 5 | 2019 |
| MMD-encouraging convolutional autoencoder: a novel classification algorithm for imbalanced data B Li, X Gong, C Wang, R Wu, T Bian, Y Li, Z Wang, R Luo Applied Intelligence, 1-18, 2021 | 4 | 2021 |
| Tight regret bounds for single-pass streaming multi-armed bandits C Wang International Conference on Machine Learning, 35525-35547, 2023 | 3 | 2023 |
| Metric clustering and MST with strong and weak distance oracles MH Bateni, P Dharangutte, R Jayaram, C Wang arXiv preprint arXiv:2310.15863, 2023 | 1 | 2023 |
| The best arm evades: Near-optimal multi-pass streaming lower bounds for pure exploration in multi-armed bandits S Assadi, C Wang arXiv preprint arXiv:2309.03145, 2023 | 1 | 2023 |
| Differentially Private Range Query on Shortest Paths C Deng, J Gao, J Upadhyay, C Wang Algorithms and Data Structures: 18th International Symposium, WADS 2023 …, 2023 | 1 | 2023 |
| Evaluating stability in massive social networks: Efficient streaming algorithms for structural balance V Ashvinkumar, S Assadi, C Deng, J Gao, C Wang arXiv preprint arXiv:2306.00668, 2023 | 1 | 2023 |
Chengyuan DengRutgers UniversityVerified email at rutgers.edu
