Chen Wang - RankMe

50 papers A* 13A 4B 3Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning-Augmented Moment Estimation on Time-Decay Models. CoRR Soham Nagawanshi, Shalini Panthangi, Chen Wang, David P. Woodruff, Samson Zhou
2026	A*	`conf`	Online Learning with Limited Information in the Sliding Window Model. SODA Vladimir Braverman, Sumegha Garg, Chen Wang, David P. Woodruff, Samson Zhou
2026	J	`jnl`	Online Learning with Limited Information in the Sliding Window Model. CoRR Vladimir Braverman, Sumegha Garg, Chen Wang, David P. Woodruff, Samson Zhou
2025	A	`conf`	Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time. AISTATS Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang
2025	A*	`conf`	Learning-Augmented Hierarchical Clustering. ICML Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou
2025	J	`jnl`	Learning-Augmented Hierarchical Clustering. CoRR Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou
2025	A*	`conf`	Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap. AAAI Nikolai Karpov, Chen Wang
2025	A*	`conf`	On the Price of Differential Privacy for Hierarchical Clustering. ICLR Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou
2025	J	`jnl`	On the Price of Differential Privacy for Hierarchical Clustering. CoRR Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou
2025	A*	`conf`	Relative Error Fair Clustering in the Weak-Strong Oracle Model. ICML Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou
2025	J	`jnl`	Relative Error Fair Clustering in the Weak-Strong Oracle Model. CoRR Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou
2024	J	`jnl`	Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time. CoRR Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang
2024	A	`conf`	Learning-Augmented Maximum Independent Set. APPROX/RANDOM Vladimir Braverman, Prathamesh Dharangutte, Vihan Shah, Chen Wang
2024	J	`jnl`	Learning-augmented Maximum Independent Set. CoRR Vladimir Braverman, Prathamesh Dharangutte, Vihan Shah, Chen Wang
2024	A*	`conf`	Metric Clustering and MST with Strong and Weak Distance Oracles. COLT MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang
2024	A*	`conf`	Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. SODA Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
2024	J	`jnl`	Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. CoRR Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
2024	A*	`conf`	The Discrepancy of Shortest Paths. ICALP Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang
2024	J	`jnl`	The Discrepancy of Shortest Paths. CoRR Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang
2023	B	`conf`	Differentially Private Range Query on Shortest Paths. WADS Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang
2023	A	`conf`	Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. APPROX/RANDOM Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang
2023	J	`jnl`	Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. CoRR Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang
2023	J	`jnl`	Metric Clustering and MST with Strong and Weak Distance Oracles. CoRR MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang
2023	A*	`conf`	Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost. NeurIPS Sepehr Assadi, Vihan Shah, Chen Wang
2023	J	`jnl`	The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits. CoRR Sepehr Assadi, Chen Wang
2023	A*	`conf`	Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits. ICML Chen Wang
2023	J	`jnl`	Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits. CoRR Chen Wang
2022	A*	`conf`	Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds. COLT Sepehr Assadi, Vaggos Chatziafratis, Jakub Lacki, Vahab Mirrokni, Chen Wang
2022	J	`jnl`	Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds. CoRR Sepehr Assadi, Vaggos Chatziafratis, Jakub Lacki, Vahab S. Mirrokni, Chen Wang
2022	A*	`conf`	Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity. NeurIPS Sepehr Assadi, Chen Wang
2022	A	`conf`	Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions. ITCS Sepehr Assadi, Chen Wang
2021	J	`jnl`	Adaptive ensemble of classifiers with regularization for imbalanced data classification. Inf. Fusion Chen Wang, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo
2021	J	`jnl`	Scalar Quantization as Sparse Least Square Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Chen Wang, Xiaomei Yang, Shaomin Fei, Kai Zhou, Xiaofeng Gong, Miao Du, Ruisen Luo
2021	J	`jnl`	Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions. CoRR Sepehr Assadi, Chen Wang
2020	J	`jnl`	Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits. CoRR Sepehr Assadi, Chen Wang
2020	A*	`conf`	Exploration with limited memory: streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits. STOC Sepehr Assadi, Chen Wang
2020	J	`jnl`	Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost. Pattern Recognit. Lett. Chen Wang, Chengyuan Deng, Suzhen Wang
2020	B	`conf`	On the Global Self-attention Mechanism for Graph Convolutional Networks. ICPR Chen Wang, Chengyuan Deng
2020	J	`jnl`	On the Global Self-attention Mechanism for Graph Convolutional Networks. CoRR Chen Wang, Chengyuan Deng
2020	B	`conf`	SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. IJCNN Chen Wang, Chengyuan Deng, Vladimir Ivanov
2019	J	`jnl`	A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms. CoRR Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu
2019	J	`jnl`	Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification. CoRR Chen Wang, Qin Yu, Ruisen Luo, Dafeng Hui, Kai Zhou, Yanmei Yu, Chao Sun, Xiaofeng Gong
2019	J	`jnl`	Fully Dense Neural Network for the Automatic Modulation Recognition. CoRR Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiaofeng Gong, Ruisen Luo
2019	J	`jnl`	Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost. CoRR Chen Wang, Chengyuan Deng, Suzhen Wang
2019	J	`jnl`	Integrating Wildfires Propagation Prediction Into Early Warning of Electrical Transmission Line Outages. IEEE Access Songyi Dian, Peng Cheng, Qiang Ye, Jirong Wu, Ruisen Luo, Chen Wang, Dafeng Hui, Ning Zhou, Dong Zou, Qin Yu, Xiaofeng Gong
2019	J	`jnl`	Multi-layer Attention Mechanism for Speech Keyword Recognition. CoRR Ruisen Luo, Tianran Sun, Chen Wang, Miao Du, Zuodong Tang, Kai Zhou, Xiaofeng Gong, Xiaomei Yang
2019	J	`jnl`	SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. CoRR Chen Wang, Chengyuan Deng, Vladimir Ivanov
2018	J	`jnl`	Feature Learning With a Divergence-Encouraging Autoencoder for Imbalanced Data Classification. IEEE Access Ruisen Luo, Qian Feng, Chen Wang, Xiaomei Yang, Haiyan Tu, Qin Yu, Shaomin Fei, Xiaofeng Gong
2018	J	`jnl`	Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data. CoRR Chen Wang, Suzhen Wang, Fuyan Shi, Zaixiang Wang
2018	J	`jnl`	Vector Quantization as Sparse Least Square Optimization. CoRR Chen Wang, Ruisen Luo