Xiaohan Wei
Orcid: 0000-0001-9997-0469
According to our database1,
Xiaohan Wei
authored at least 40 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis.
Sensors, March, 2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.
CoRR, 2024
2023
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks.
Entropy, 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
IEEE Micro, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proc. ACM Meas. Anal. Comput. Syst., 2020
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism.
CoRR, 2020
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.
CoRR, 2020
Beyond 𝒪(#8730;T) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox.
CoRR, 2020
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Digit. Signal Process., 2019
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis.
CoRR, 2019
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization.
CoRR, 2019
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Inf. Theory, 2018
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study.
Proc. ACM Meas. Anal. Comput. Syst., 2018
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach.
CoRR, 2018
Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems.
IEEE/ACM Trans. Netw., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Power-Aware Wireless File Downloading: A Lyapunov Indexing Approach to a Constrained Restless Bandit Problem.
IEEE/ACM Trans. Netw., 2016
Delay optimal power aware opportunistic scheduling with mutual information accumulation.
Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
Recoverability of Group Sparse Signals from Corrupted Measurements via Robust Group Lasso.
CoRR, 2015
2014
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014
2012
IEEE Trans. Signal Process., 2012
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted l<sub>1</sub>-Norm Penalty.
IEEE Signal Process. Lett., 2012