Zheng Chai

60 papers A* 3A 5B 1C 1Journal 42Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compute Only Once: UG-Separation for Efficient Large Recommendation Models.
CoRR
Hui Lu, Zheng Chai, Shipeng Bai, Hao Zhang, Zhifang Fan, Kunmin Bai, Yingwen Wu, Bingzheng Wei, Xiang Sun, Ziyan Gong, Tianyi Liu, Hua Chen, Deping Xie, Zhongkai Chen, Zhiliang Guo, Qiwei Chen, Yuchao Zheng
2026 J jnl
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction.
CoRR
Yunwen Huang, Shiyong Hong, Xijun Xiao, Jinqiu Jin, Xuanyuan Luo, Zhe Wang, Zheng Chai, Shikang Wu, Yuchao Zheng, Jingjian Lin
2026 J jnl
MSN: A Memory-based Sparse Activation Scaling Framework for Large-scale Industrial Recommendation.
CoRR
Shikang Wu, Hui Lu, Jinqiu Jin, Zheng Chai, Shiyong Hong, Junjie Zhang, Shanlei Mu, Kaiyuan Ma, Tianyi Liu, Yuchao Zheng, Zhe Wang, Jingjian Lin
2026 J jnl
MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders.
CoRR
Xu Huang, Hao Zhang, Zhifang Fan, Yunwen Huang, Zhuoxing Wei, Zheng Chai, Jinan Ni, Yuchao Zheng, Qiwei Chen
2026 J jnl
TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders.
CoRR
Yuchen Jiang, Jie Zhu, Xintian Han, Hui Lu, Kunmin Bai, Mingyu Yang, Shikang Wu, Ruihao Zhang, Wenlin Zhao, Shipeng Bai, Sijin Zhou, Huizhi Yang, Tianyi Liu, Wenda Liu, Ziyan Gong, Haoran Ding, Zheng Chai, Deping Xie, Zhe Chen, Yuchao Zheng, Peng Xu
2025 A* conf
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders.
SIGIR
Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou
2025 J jnl
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders.
CoRR
Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou
2025 A conf
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.
RecSys
Zheng Chai, Qin Ren, Xijun Xiao, Huizhi Yang, Bo Han, Sijun Zhang, Di Chen, Hui Lu, Wenlin Zhao, Lele Yu, Xionghang Xie, Shiru Ren, Xiang Sun, Yaocheng Tan, Peng Xu, Yuchao Zheng, Di Wu
2025 J jnl
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.
CoRR
Zheng Chai, Qin Ren, Xijun Xiao, Huizhi Yang, Bo Han, Sijun Zhang, Di Chen, Hui Lu, Wenlin Zhao, Lele Yu, Xionghang Xie, Shiru Ren, Xiang Sun, Yaocheng Tan, Peng Xu, Yuchao Zheng, Di Wu
2025 — conf
Large Memory Network for Recommendation.
WWW (Companion Volume)
Hui Lu, Zheng Chai, Yuchao Zheng, Zhe Chen, Deping Xie, Peng Xu, Xun Zhou, Di Wu
2025 J jnl
Large Memory Network for Recommendation.
CoRR
Hui Lu, Zheng Chai, Yuchao Zheng, Zhe Chen, Deping Xie, Peng Xu, Xun Zhou, Di Wu
2025 J jnl
LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation.
CoRR
Qin Ren, Zheng Chai, Xijun Xiao, Yuchao Zheng, Di Wu
2025 A conf
RankMixer: Scaling Up Ranking Models in Industrial Recommenders.
CIKM
Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu
2025 J jnl
RankMixer: Scaling Up Ranking Models in Industrial Recommenders.
CoRR
Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu
2025 A conf
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
SDM
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2025 J jnl
Walk Before You Can Run: Sampling-Rate-Aware Sequential Knowledge Transfer for Multirate Process Anomaly Detection.
IEEE Trans Autom. Sci. Eng.
Zheng Chai, Jiaye Wang, Chunhui Zhao
2024 J jnl
A 3D MCAM architecture based on flash memory enabling binary neural network computing for edge AI.
Sci. China Inf. Sci.
Maoying Bai, Shuhao Wu, Hai Wang, Hua Wang, Yang Feng, Yueran Qi, Chengcheng Wang, Zheng Chai, Tai Min, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen
2024 J jnl
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR
Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
2024 J jnl
QP-LDP for Better Global Model Performance in Federated Learning.
IEEE Internet Things J.
Qian Chen, Zheng Chai, Zilong Wang, Haonan Yan, Xiaodong Lin, Jianying Zhou
2024 J jnl
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst.
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2023 C conf
Hardware Efficient Reconfigurable Logic-in-Memory Circuit Based Neural Network Computing.
ISCAS
Tianchi Liu, Yizhuo Zhou, Yakun Zhou, Zheng Chai, Jienan Chen
2023 J jnl
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2023 — conf
Stochastic Computing Based on Volatile Ovonic Threshold Switching Devices.
ASICON
Zheng Chai, Weidong Zhang, Jian Fu Zhang
2022 J jnl
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Chai, Chunhui Zhao, Biao Huang, Hongtian Chen
2022 J jnl
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.
IEEE Trans. Cybern.
Hongtian Chen, Zhiwen Chen, Zheng Chai, Bin Jiang, Biao Huang
2022 J jnl
A novel random multi-subspace based ReliefF for feature selection.
Knowl. Based Syst.
Baoshuang Zhang, Yanying Li, Zheng Chai
2022 J jnl
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning.
IEEE Trans. Neural Networks Learn. Syst.
Hongtian Chen, Zheng Chai, Oguzhan Dogru, Bin Jiang, Biao Huang
2022 J jnl
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
2022 J jnl
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis.
IEEE Trans Autom. Sci. Eng.
Zheng Chai, Chunhui Zhao
2022 J jnl
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.
IEEE Trans. Cybern.
Zheng Chai, Chunhui Zhao, Biao Huang
2022 — conf
QP-LDP for better global model performance in federated learning.
MSN
Qian Chen, Zheng Chai, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin
2022 J jnl
Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.
Neuromorph. Comput. Eng.
Yan Du, Wei Shao, Zheng Chai, Hanzhang Zhao, Qihui Diao, Yawei Gao, Xihui Yuan, Qiaoqiao Wang, Tao Li, Weidong Zhang, Jian Fu Zhang, Tai Min
2022 A* conf
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
SIGIR
Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang
2022 J jnl
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.
IEEE Trans. Cybern.
Zheng Chai, Chunhui Zhao, Biao Huang
2021 — conf
Asynchronous Federated Learning for Sensor Data with Concept Drift.
IEEE BigData
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021 J jnl
Asynchronous Federated Learning for Sensor Data with Concept Drift.
CoRR
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021 J jnl
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.
IEEE Trans. Instrum. Meas.
Hongtian Chen, Zheng Chai, Bin Jiang, Biao Huang
2021 A conf
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
SC
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
2021 J jnl
High-Resolution Time-to-Digital Converters Implemented on 40-, 28-, and 20-nm FPGAs.
IEEE Trans. Instrum. Meas.
Min Zhang, Keyuan Yang, Zheng Chai, Hai Wang, Zhengtao Ding, Weimin Bao
2021 J jnl
LOF: Structure-Aware Line Tracking based on Optical Flow.
CoRR
Meixiang Quan, Zheng Chai, Xiao Liu
2021 J jnl
Method Towards CVPR 2021 Image Matching Challenge.
CoRR
Xiaopeng Bi, Yu Chen, Xinyang Liu, Dehao Zhang, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
2021 J jnl
Method Towards CVPR 2021 SimLocMatch Challenge.
CoRR
Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
2021 J jnl
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2021 — conf
True random number generator based on switching probability of volatile GeXSe1-X ovonic threshold switching selectors.
ASICON
Zheng Chai, Pedro Freitas, Weidong Zhang, Jian Fu Zhang, John S. Marsland
2020 J jnl
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis.
IEEE Trans Autom. Sci. Eng.
Zheng Chai, Chunhui Zhao
2020 J jnl
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification.
IEEE Trans. Ind. Informatics
Zheng Chai, Chunhui Zhao
2020 J jnl
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
2020 B conf
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics.
IJCNN
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2020 J jnl
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Chai, Chunhui Zhao
2020 A conf
TiFL: A Tier-based Federated Learning System.
HPDC
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020 J jnl
TiFL: A Tier-based Federated Learning System.
CoRR
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020 A* conf
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
ICDM
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2020 J jnl
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2019 J jnl
Committee Machines - A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks.
CoRR
Dovydas Joksas, Pedro Freitas, Zheng Chai, Wing H. Ng, Mark Buckwell, Weidong Zhang, Anthony J. Kenyon, Adnan Mehonic
2019 J jnl
Federated Multi-task Hierarchical Attention Model for Sensor Analytics.
CoRR
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2019 — conf
IMRL: An Improved Inertial-Aided KLT Feature Tracker.
CIS/RAM
Meixiang Quan, Beipeng Mu, Zheng Chai
2019 — conf
Towards Taming the Resource and Data Heterogeneity in Federated Learning.
OpML
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
2018 — conf
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
APSys
Yue Cheng, Zheng Chai, Ali Anwar
2018 J jnl
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
CoRR
Yue Cheng, Zheng Chai, Ali Anwar
2017 J jnl
ORB-SHOT SLAM: Trajectory Correction by 3D Loop Closing Based on Bag-of-Visual-Words (BoVW) Model for RGB-D Visual SLAM.
J. Robotics Mechatronics
Zheng Chai, Takafumi Matsumaru