Chen Wang

According to our database, Chen Wang authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Relative Error Fair Clustering in the Weak-Strong Oracle Model.

Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou

CoRR, June, 2025

Learning-Augmented Hierarchical Clustering.

Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou

CoRR, June, 2025

On the Price of Differential Privacy for Hierarchical Clustering.

Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time.

Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.

Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

The Discrepancy of Shortest Paths.

Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

Learning-Augmented Maximum Independent Set.

Vladimir Braverman, Prathamesh Dharangutte, Vihan Shah, Chen Wang

Proceedings of the Approximation, 2024

2023

The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits.

Sepehr Assadi, Chen Wang

CoRR, 2023

Differentially Private Range Query on Shortest Paths.

Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang

Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost.

Sepehr Assadi, Vihan Shah, Chen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance.

Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang

Proceedings of the Approximation, 2023

2022

Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity.

Sepehr Assadi, Chen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions.

Sepehr Assadi, Chen Wang

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds.

Sepehr Assadi, Vaggos Chatziafratis, Jakub Lacki, Vahab Mirrokni, Chen Wang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Scalar Quantization as Sparse Least Square Optimization.

Chen Wang, Xiaomei Yang, Shaomin Fei, Kai Zhou, Xiaofeng Gong, Miao Du, Ruisen Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Adaptive ensemble of classifiers with regularization for imbalanced data classification.

Chen Wang, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo

Inf. Fusion, 2021

2020

Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost.

Chen Wang, Chengyuan Deng, Suzhen Wang

Pattern Recognit. Lett., 2020

Exploration with limited memory: streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits.

Sepehr Assadi, Chen Wang

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations.

Chen Wang, Chengyuan Deng, Vladimir Ivanov

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On the Global Self-attention Mechanism for Graph Convolutional Networks.

Chen Wang, Chengyuan Deng

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Fully Dense Neural Network for the Automatic Modulation Recognition.

Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiaofeng Gong, Ruisen Luo

CoRR, 2019

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms.

Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu

CoRR, 2019

Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification.

Chen Wang, Qin Yu, Ruisen Luo, Dafeng Hui, Kai Zhou, Yanmei Yu, Chao Sun, Xiaofeng Gong

CoRR, 2019

Multi-layer Attention Mechanism for Speech Keyword Recognition.

Ruisen Luo, Tianran Sun, Chen Wang, Miao Du, Zuodong Tang, Kai Zhou, Xiaofeng Gong, Xiaomei Yang

CoRR, 2019

Integrating Wildfires Propagation Prediction Into Early Warning of Electrical Transmission Line Outages.

Songyi Dian, Peng Cheng, Qiang Ye, Jirong Wu, Ruisen Luo, Chen Wang, Dafeng Hui, Ning Zhou, Dong Zou, Qin Yu, Xiaofeng Gong

IEEE Access, 2019

2018

Vector Quantization as Sparse Least Square Optimization.

Chen Wang, Ruisen Luo

CoRR, 2018

Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data.

Chen Wang, Suzhen Wang, Fuyan Shi, Zaixiang Wang

CoRR, 2018

Feature Learning With a Divergence-Encouraging Autoencoder for Imbalanced Data Classification.

Ruisen Luo, Qian Feng, Chen Wang, Xiaomei Yang, Haiyan Tu, Qin Yu, Shaomin Fei, Xiaofeng Gong

IEEE Access, 2018