Xiaohan Wei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | LoKA: Low-Precision Kernel Applications for Recommendation Models at Scale. | Liang Luo, Yinbin Ma, Quanyu Zhu, Vasiliy Kuznetsov, Yuxin Chen, Jian Jiao, Jiecao Yu, Buyun Zhang, Tongyi Tang, Xiaohan Wei, Yanli Zhao, Zeliang Chen, Yuchen Hao, Venkatesh Ranganathan, Sandeep Parab, Yantao Yao, Maxim Naumov, Chunzhi Yang, Shen Li, Ellie Wen, Wenlin Chen, Chunqiang Tang |
| 2026 | KDD | Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. | 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 |
| 2026 | SIGIR | SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. | 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 |
| 2025 | RecSys | Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. | 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 |
| 2023 | AAAI | Gradient-Variation Bound for Online Convex Optimization with Constraints. | Shuang Qiu, Xiaohan Wei, Mladen Kolar |
| 2023 | OSDI | AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. | 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 |
| 2022 | ICLR | Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. | Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan |
| 2021 | AISTATS | Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. | Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic |
| 2021 | ICML | Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. | Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang |
| 2021 | KDD | Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. | Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney |
| 2021 | KDD | Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters. | Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman |
| 2020 | ICML | Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. | Shuang Qiu, Xiaohan Wei, Zhuoran Yang |
| 2020 | SIGMETRICS | Online Primal-Dual Mirror Descent under Stochastic Constraints. | Xiaohan Wei, Hao Yu, Michael J. Neely |
| 2019 | ICML | On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. | Xiaohan Wei, Zhuoran Yang, Zhaoran Wang |
| 2018 | SIGMETRICS | Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. | Xiaohan Wei, Hao Yu, Michael J. Neely |
| 2016 | WiOpt | Delay optimal power aware opportunistic scheduling with mutual information accumulation. | Xiaohan Wei, Michael J. Neely |
| 2014 | WiOpt | Power aware wireless file downloading: A constrained restless bandit approach. | Xiaohan Wei, Michael J. Neely |