Chen Wang

Orcid: 0000-0003-4044-9438

Affiliations:
  • Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
  • Sichuan University, College of Electrical Engineering and Information Technology, Chengdu, China (former)


According to our database1, Chen Wang authored at least 21 papers between 2018 and 2024.

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Bibliography

2024
The Discrepancy of Shortest Paths.
Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

2023
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits.
CoRR, 2023

Differentially Private Range Query on Shortest Paths.
Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance.
Proceedings of the Approximation, 2023

2022
Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity.
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.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Scalar Quantization as Sparse Least Square Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Adaptive ensemble of classifiers with regularization for imbalanced data classification.
Inf. Fusion, 2021

2020
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost.
Pattern Recognit. Lett., 2020

Exploration with limited memory: streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On the Global Self-attention Mechanism for Graph Convolutional Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Fully Dense Neural Network for the Automatic Modulation Recognition.
CoRR, 2019

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms.
CoRR, 2019

Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification.
CoRR, 2019

Multi-layer Attention Mechanism for Speech Keyword Recognition.
CoRR, 2019

Integrating Wildfires Propagation Prediction Into Early Warning of Electrical Transmission Line Outages.
IEEE Access, 2019

2018
Vector Quantization as Sparse Least Square Optimization.
CoRR, 2018

Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data.
CoRR, 2018

Feature Learning With a Divergence-Encouraging Autoencoder for Imbalanced Data Classification.
IEEE Access, 2018


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