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Xiaohan Wei
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2020 – today
- 2026
- [j13]Xiaohan Wei
, Qing Zhang
A hierarchical partially observable Markov decision process framework for tunnel boring machine trajectory navigation. Eng. Appl. Artif. Intell. 166: 113663 (2026) - [j12]Qinyi Luo
FIITED: Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. IEEE Trans. Computers 75(2): 448-461 (2026) - [c23]Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, Zeliang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen:
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. KDD (1) 2026: 2335-2346 - [i27]Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Jacob Tao, Shike Mei, Wenlin Chen, Santanu Kolay, Sandeep Pandey, Hamed Firooz, Luke Simon:
Generative Reasoning Re-ranker. CoRR abs/2602.07774 (2026) - [i26]Xuxing Chen, Yun He, Jiayi Xu, Minhui Huang, Xiaoyi Liu, Boyang Liu, Fei Tian, Xiaohan Wei, Rong Jin, Sem Park, Bo Long, Xue Feng:
Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization. CoRR abs/2603.07389 (2026) - [i25]Jianqiang Wang, Shuaiqun Pan, Alvaro Serra-Gomez, Xiaohan Wei, Yue Xie:
Evolving Embodied Intelligence: Graph Neural Network-Driven Co-Design of Morphology and Control in Soft Robotics. CoRR abs/2603.19582 (2026) - [i24]Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen:
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. CoRR abs/2604.12110 (2026) - 2025
- [c22]Carolina Zheng
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. RecSys 2025: 954-957 - [i23]Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li:
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR abs/2502.17494 (2025) - [i22]Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang:
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. CoRR abs/2504.02137 (2025) - [i21]Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, Zeliang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen:
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. CoRR abs/2512.09200 (2025) - 2024
- [j11]Qing Zhang
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
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
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
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
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
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
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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