Xiaohan Wei

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Markov Decision Process

Lower Complexity

Reinforcement Learning

Recommender Systems

Top Venues

IEEE/ACM Trans. Netw.

Publications

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 (2024)
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) (2024)
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)
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)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR (2023)
Shuang Qiu, Xiaohan Wei, Mladen Kolar
Gradient-Variation Bound for Online Convex Optimization with Constraints. AAAI (2023)
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 (2022)
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 (2022)
Xiaohan Wei, Yulai Zhang, Cheng Wang
Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks. Entropy 24 (10) (2022)
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)
Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic
Byzantine-resilient distributed learning under constraints. ACC (2021)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS (2021)
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) (2021)
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 (2021)
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)
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 (2021)
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)
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)
Xiaohan Wei, Hao Yu, Michael J. Neely
Online Primal-Dual Mirror Descent under Stochastic Constraints. SIGMETRICS (Abstracts) (2020)
Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR (2020)
Shuang Qiu, Xiaohan Wei, Zhuoran Yang
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. ICML (2020)
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 (2020)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR (2020)
Xiaohan Wei, Hao Yu, Michael J. Neely
Online Primal-Dual Mirror Descent under Stochastic Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4 (2) (2020)
Shuang Qiu, Xiaohan Wei
Beyond 𝒪(#8730;T) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox. CoRR (2020)
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS (2020)
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 (2020)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR (2019)
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 (2019)
Shuang Qiu, Xiaohan Wei, Zhuoran Yang
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. CoRR (2019)
Xiaohan Wei, Zhuoran Yang, Zhaoran Wang
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. ICML (2019)
Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic
Distributed robust statistical learning: Byzantine mirror descent. CDC (2019)
Xiaohan Wei, Hao Yu, Michael J. Neely
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. SIGMETRICS (Abstracts) (2018)
Larry Goldstein, Stanislav Minsker, Xiaohan Wei
Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements. IEEE Trans. Inf. Theory 64 (8) (2018)
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)
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) (2018)
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 (2018)
Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling
Robust Group LASSO Over Decentralized Networks. CoRR (2017)
Hao Yu, Michael J. Neely, Xiaohan Wei
Online Convex Optimization with Stochastic Constraints. NIPS (2017)
Xiaohan Wei, Michael J. Neely
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems. IEEE/ACM Trans. Netw. 25 (4) (2017)
Xiaohan Wei, Stanislav Minsker
Estimation of the covariance structure of heavy-tailed distributions. NIPS (2017)
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) (2016)
Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling
Robust group LASSO over decentralized networks. GlobalSIP (2016)
Xiaohan Wei, Michael J. Neely
Delay optimal power aware opportunistic scheduling with mutual information accumulation. WiOpt (2016)
Xiaohan Wei, Michael J. Neely
Delay Optimal Power Aware Opportunistic Scheduling with Mutual Information Accumulation. CoRR (2015)
Xiaohan Wei, Michael J. Neely
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems. CoRR (2015)
Xiaohan Wei, Michael J. Neely
Power Aware Wireless File Downloading: A Lyapunov Indexing Approach to A Constrained Restless Bandit Problem. CoRR (2015)
Xiaohan Wei, Qing Ling, Zhu Han
Recoverability of Group Sparse Signals from Corrupted Measurements via Robust Group Lasso. CoRR (2015)
Xiaohan Wei, Michael J. Neely
Power aware wireless file downloading: A constrained restless bandit approach. WiOpt (2014)
Xiaohan Wei, Michael J. Neely
Power Aware Wireless File Downloading: A Constrained Restless Bandit Approach. CoRR (2014)
Xu Xu, Xiaohan Wei, Zhongfu Ye
-Norm Penalty. IEEE Signal Process. Lett. 19 (3) (2012)
Xiaohan Wei, Yabo Yuan, Qing Ling
DOA Estimation Using a Greedy Block Coordinate Descent Algorithm. IEEE Trans. Signal Process. 60 (12) (2012)