Xiaohan Wei

62 papers A* 10A 2B 2C 1Journal 39Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hierarchical partially observable Markov decision process framework for tunnel boring machine trajectory navigation.
Eng. Appl. Artif. Intell.
Xiaohan Wei, Qing Zhang, Thomas Bäck, Hao Wang
2026 J jnl
Evolving Embodied Intelligence: Graph Neural Network-Driven Co-Design of Morphology and Control in Soft Robotics.
CoRR
Jianqiang Wang, Shuaiqun Pan, Alvaro Serra-Gomez, Xiaohan Wei, Yue Xie
2026 J jnl
FIITED: Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.
IEEE Trans. Computers
Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2026 J jnl
Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization.
CoRR
Xuxing Chen, Yun He, Jiayi Xu, Minhui Huang, Xiaoyi Liu, Boyang Liu, Fei Tian, Xiaohan Wei, Rong Jin, Sem Park, Bo Long, Xue Feng
2026 J jnl
Generative Reasoning Re-ranker.
CoRR
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
2026 — conf
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.
KDD (1)
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
2025 A conf
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.
RecSys
Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, 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
2025 J jnl
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.
CoRR
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
2025 J jnl
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.
CoRR
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
2025 J jnl
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.
CoRR
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
2024 J jnl
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis.
Sensors
Qing Zhang, Xiaohan Wei, Ye Wang, Chenggang Hou
2024 J jnl
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems.
CoRR
Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2023 A* conf
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models.
OSDI
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
2023 A* conf
Gradient-Variation Bound for Online Convex Optimization with Constraints.
AAAI
Shuang Qiu, Xiaohan Wei, Mladen Kolar
2023 — conf
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning.
L4DC
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2023 J jnl
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning.
CoRR
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2022 J jnl
Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks.
Entropy
Xiaohan Wei, Yulai Zhang, Cheng Wang
2022 J jnl
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.
CoRR
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
2022 A* conf
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits.
ICLR
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
2022 J jnl
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
CoRR
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021 C conf
Byzantine-resilient distributed learning under constraints.
ACC
Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic
2021 J jnl
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits.
CoRR
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
2021 A* conf
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters.
KDD
Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman
2021 J jnl
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale.
CoRR
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
2021 J jnl
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale.
IEEE Micro
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
2021 A* conf
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
ICML
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021 A conf
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization.
AISTATS
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2021 A* conf
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism.
KDD
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020 J jnl
Beyond 𝒪(#8730;T) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox.
CoRR
Shuang Qiu, Xiaohan Wei
2020 J jnl
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism.
CoRR
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020 — conf
Online Primal-Dual Mirror Descent under Stochastic Constraints.
SIGMETRICS (Abstracts)
Xiaohan Wei, Hao Yu, Michael J. Neely
2020 J jnl
Online Primal-Dual Mirror Descent under Stochastic Constraints.
Proc. ACM Meas. Anal. Comput. Syst.
Xiaohan Wei, Hao Yu, Michael J. Neely
2020 J jnl
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization.
CoRR
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2020 A* conf
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis.
ICML
Shuang Qiu, Xiaohan Wei, Zhuoran Yang
2020 J jnl
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.
CoRR
Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
2020 J jnl
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions.
CoRR
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020 A* conf
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss.
NeurIPS
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2019 — conf
Distributed robust statistical learning: Byzantine mirror descent.
CDC
Dongsheng Ding, Xiaohan Wei, Mihailo R. Jovanovic
2019 J jnl
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization.
CoRR
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2019 A* conf
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data.
ICML
Xiaohan Wei, Zhuoran Yang, Zhaoran Wang
2019 J jnl
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis.
CoRR
Shuang Qiu, Xiaohan Wei, Zhuoran Yang
2019 J jnl
The empirical optimal envelope and its application to local mean decomposition.
Digit. Signal Process.
Linshan Jia, Qing Zhang, Xiang Zheng, Pulin Yao, Xiaogao He, Xiaohan Wei
2018 — conf
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study.
SIGMETRICS (Abstracts)
Xiaohan Wei, Hao Yu, Michael J. Neely
2018 J jnl
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study.
Proc. ACM Meas. Anal. Comput. Syst.
Xiaohan Wei, Hao Yu, Michael J. Neely
2018 A* conf
Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach.
NeurIPS
Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely
2018 J jnl
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach.
CoRR
Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely
2018 J jnl
Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements.
IEEE Trans. Inf. Theory
Larry Goldstein, Stanislav Minsker, Xiaohan Wei
2017 J jnl
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems.
IEEE/ACM Trans. Netw.
Xiaohan Wei, Michael J. Neely
2017 — conf
Estimation of the covariance structure of heavy-tailed distributions.
NIPS
Xiaohan Wei, Stanislav Minsker
2017 — conf
Online Convex Optimization with Stochastic Constraints.
NIPS
Hao Yu, Michael J. Neely, Xiaohan Wei
2017 J jnl
Robust Group LASSO Over Decentralized Networks.
CoRR
Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling
2016 B conf
Delay optimal power aware opportunistic scheduling with mutual information accumulation.
WiOpt
Xiaohan Wei, Michael J. Neely
2016 J jnl
Power-Aware Wireless File Downloading: A Lyapunov Indexing Approach to a Constrained Restless Bandit Problem.
IEEE/ACM Trans. Netw.
Xiaohan Wei, Michael J. Neely
2016 — conf
Robust group LASSO over decentralized networks.
GlobalSIP
Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling
2015 J jnl
Data Center Server Provision: Distributed Asynchronous Control for Coupled Renewal Systems.
CoRR
Xiaohan Wei, Michael J. Neely
2015 J jnl
Delay Optimal Power Aware Opportunistic Scheduling with Mutual Information Accumulation.
CoRR
Xiaohan Wei, Michael J. Neely
2015 J jnl
Power Aware Wireless File Downloading: A Lyapunov Indexing Approach to A Constrained Restless Bandit Problem.
CoRR
Xiaohan Wei, Michael J. Neely
2015 J jnl
Recoverability of Group Sparse Signals from Corrupted Measurements via Robust Group Lasso.
CoRR
Xiaohan Wei, Qing Ling, Zhu Han
2014 J jnl
Power Aware Wireless File Downloading: A Constrained Restless Bandit Approach.
CoRR
Xiaohan Wei, Michael J. Neely
2014 B conf
Power aware wireless file downloading: A constrained restless bandit approach.
WiOpt
Xiaohan Wei, Michael J. Neely
2012 J jnl
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted l
IEEE Signal Process. Lett.
Xu Xu, Xiaohan Wei, Zhongfu Ye
2012 J jnl
DOA Estimation Using a Greedy Block Coordinate Descent Algorithm.
IEEE Trans. Signal Process.
Xiaohan Wei, Yabo Yuan, Qing Ling