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Chen Wang
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Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
C Wang, C Deng, S Wang
Pattern Recognition Letters, 2020
2842020
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
592019
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
322022
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
242020
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
232020
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
202018
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
102022
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
102018
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
82022
Tight regret bounds for single-pass streaming multi-armed bandits
C Wang
International Conference on Machine Learning, 35525-35547, 2023
72023
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
72018
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
72018
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
62021
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
62020
Metric clustering and MST with strong and weak distance oracles
MH Bateni, P Dharangutte, R Jayaram, C Wang
The Thirty Seventh Annual Conference on Learning Theory, 498-550, 2024
52024
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
52023
On the Global Self-attention Mechanism for Graph Convolutional Networks
C Wang, C Deng
25th International Conference on Pattern Recognition (ICPR), 8531-8538, 2021
52021
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
52019
The discrepancy of shortest paths
G Bodwin, C Deng, J Gao, G Hoppenworth, J Upadhyay, C Wang
arXiv preprint arXiv:2401.15781, 2024
42024
Parallel approximate maximum flows in near-linear work and polylogarithmic depth
A Agarwal, S Khanna, H Li, P Patil, C Wang, N White, P Zhong
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
42024
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