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2020 – today
- 2024
[j11]Qing Zhang
, Xiaohan Wei, Ye Wang, Chenggang Hou:
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis. Sensors 24(6): 1831 (2024)- [i20]Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian:
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR abs/2401.04408 (2024) - 2023
- [c21]Shuang Qiu, Xiaohan Wei, Mladen Kolar:
Gradient-Variation Bound for Online Convex Optimization with Constraints. AAAI 2023: 9534-9542 - [c20]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC 2023: 315-332 - [c19]Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury:
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI 2023: 817-831 - [i19]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR abs/2306.00212 (2023) - 2022
- [j10]Xiaohan Wei, Yulai Zhang, Cheng Wang:
Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks. Entropy 24(10): 1351 (2022) - [c18]Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan:
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. ICLR 2022 - [i18]Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen:
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. CoRR abs/2203.11014 (2022) - [i17]Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR abs/2207.12463 (2022) - 2021
- [j9]Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41(5): 93-100 (2021) - [c17]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS 2021: 3304-3312 - [c16]Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic:
Byzantine-resilient distributed learning under constraints. ACC 2021: 2260-2265 - [c15]Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. ICML 2021: 8715-8725 - [c14]Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney:
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. KDD 2021: 2928-2936 - [c13]Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman:
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters. KDD 2021: 3050-3058 - [i16]Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR abs/2105.12676 (2021) - [i15]Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan:
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. CoRR abs/2110.04844 (2021) - 2020
- [j8]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Primal-Dual Mirror Descent under Stochastic Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 39:1-39:36 (2020) - [c12]Shuang Qiu, Xiaohan Wei, Zhuoran Yang:
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. ICML 2020: 7857-7866 - [c11]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS 2020 - [c10]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Primal-Dual Mirror Descent under Stochastic Constraints. SIGMETRICS (Abstracts) 2020: 3-4 - [i14]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR abs/2003.00534 (2020) - [i13]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. CoRR abs/2003.00660 (2020) - [i12]Shuang Qiu, Xiaohan Wei:
Beyond 𝒪(#8730;T) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox. CoRR abs/2006.12455 (2020) - [i11]Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang:
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR abs/2008.10103 (2020) - [i10]Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney:
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. CoRR abs/2010.08899 (2020)
2010 – 2019
- 2019
- [j7]Linshan Jia, Qing Zhang, Xiang Zheng, Pulin Yao, Xiaogao He, Xiaohan Wei:
The empirical optimal envelope and its application to local mean decomposition. Digit. Signal Process. 87: 166-177 (2019) - [c9]Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic:
Distributed robust statistical learning: Byzantine mirror descent. CDC 2019: 1822-1827 - [c8]Xiaohan Wei, Zhuoran Yang, Zhaoran Wang:
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. ICML 2019: 6697-6706 - [i9]Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR abs/1908.02805 (2019) - [i8]Shuang Qiu, Xiaohan Wei, Zhuoran Yang:
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. CoRR abs/1908.05368 (2019) - 2018
- [j6]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 12:1-12:38 (2018) - [j5]Larry Goldstein, Stanislav Minsker, Xiaohan Wei:
Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements. IEEE Trans. Inf. Theory 64(8): 5513-5530 (2018) - [c7]Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely:
Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach. NeurIPS 2018: 3999-4009 - [c6]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. SIGMETRICS (Abstracts) 2018: 56-58 - [i7]Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely:
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach. CoRR abs/1809.01275 (2018) - 2017
- [j4]Xiaohan Wei, Michael J. Neely:
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems. IEEE/ACM Trans. Netw. 25(4): 2180-2194 (2017) - [c5]Hao Yu, Michael J. Neely, Xiaohan Wei:
Online Convex Optimization with Stochastic Constraints. NIPS 2017: 1428-1438 - [c4]Xiaohan Wei, Stanislav Minsker:
Estimation of the covariance structure of heavy-tailed distributions. NIPS 2017: 2859-2868 - [i6]Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling:
Robust Group LASSO Over Decentralized Networks. CoRR abs/1701.03043 (2017) - 2016
- [j3]Xiaohan Wei, Michael J. Neely:
Power-Aware Wireless File Downloading: A Lyapunov Indexing Approach to a Constrained Restless Bandit Problem. IEEE/ACM Trans. Netw. 24(4): 2264-2277 (2016) - [c3]Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling:
Robust group LASSO over decentralized networks. GlobalSIP 2016: 490-494 - [c2]Xiaohan Wei, Michael J. Neely:
Delay optimal power aware opportunistic scheduling with mutual information accumulation. WiOpt 2016: 322-328 - 2015
- [i5]Xiaohan Wei, Michael J. Neely:
Power Aware Wireless File Downloading: A Lyapunov Indexing Approach to A Constrained Restless Bandit Problem. CoRR abs/1504.04074 (2015) - [i4]Xiaohan Wei, Michael J. Neely:
Delay Optimal Power Aware Opportunistic Scheduling with Mutual Information Accumulation. CoRR abs/1509.07759 (2015) - [i3]Xiaohan Wei, Qing Ling, Zhu Han:
Recoverability of Group Sparse Signals from Corrupted Measurements via Robust Group Lasso. CoRR abs/1509.08490 (2015) - [i2]Xiaohan Wei, Michael J. Neely:
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems. CoRR abs/1512.01609 (2015) - 2014
- [c1]Xiaohan Wei, Michael J. Neely:
Power aware wireless file downloading: A constrained restless bandit approach. WiOpt 2014: 482-489 - [i1]Xiaohan Wei, Michael J. Neely:
Power Aware Wireless File Downloading: A Constrained Restless Bandit Approach. CoRR abs/1401.3824 (2014) - 2012
- [j2]Xu Xu, Xiaohan Wei, Zhongfu Ye:
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted l1-Norm Penalty. IEEE Signal Process. Lett. 19(3): 155-158 (2012) - [j1]Xiaohan Wei, Yabo Yuan, Qing Ling:
DOA Estimation Using a Greedy Block Coordinate Descent Algorithm. IEEE Trans. Signal Process. 60(12): 6382-6394 (2012)
Coauthor Index
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last updated on 2024-05-06 20:29 CEST by the dblp team
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