2025
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders.
CoRR, February, 2025
Walk Before You Can Run: Sampling-Rate-Aware Sequential Knowledge Transfer for Multirate Process Anomaly Detection.
IEEE Trans Autom. Sci. Eng., 2025
Large Memory Network for Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
2024
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
QP-LDP for Better Global Model Performance in Federated Learning.
IEEE Internet Things J., 2024
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
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CoRR, 2024
A 3D MCAM architecture based on flash memory enabling binary neural network computing for edge AI.
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Sci. China Inf. Sci., 2024
2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR, 2023
Hardware Efficient Reconfigurable Logic-in-Memory Circuit Based Neural Network Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Stochastic Computing Based on Volatile Ovonic Threshold Switching Devices.
Proceedings of the 15th IEEE International Conference on ASIC, 2023
2022
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.
IEEE Trans. Cybern., 2022
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.
IEEE Trans. Cybern., 2022
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.
IEEE Trans. Cybern., 2022
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis.
IEEE Trans Autom. Sci. Eng., 2022
Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.
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Neuromorph. Comput. Eng., 2022
A novel random multi-subspace based ReliefF for feature selection.
Knowl. Based Syst., 2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
QP-LDP for better global model performance in federated learning.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
2021
High-Resolution Time-to-Digital Converters Implemented on 40-, 28-, and 20-nm FPGAs.
IEEE Trans. Instrum. Meas., 2021
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.
IEEE Trans. Instrum. Meas., 2021
LOF: Structure-Aware Line Tracking based on Optical Flow.
CoRR, 2021
Method Towards CVPR 2021 SimLocMatch Challenge.
CoRR, 2021
Method Towards CVPR 2021 Image Matching Challenge.
CoRR, 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR, 2021
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
Proceedings of the International Conference for High Performance Computing, 2021
Asynchronous Federated Learning for Sensor Data with Concept Drift.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
True random number generator based on switching probability of volatile GeXSe1-X ovonic threshold switching selectors.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
2020
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity.
IEEE Trans. Neural Networks Learn. Syst., 2020
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification.
IEEE Trans. Ind. Informatics, 2020
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis.
IEEE Trans Autom. Sci. Eng., 2020
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR, 2020
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR, 2020
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
TiFL: A Tier-based Federated Learning System.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
2019
Committee Machines - A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks.
CoRR, 2019
Federated Multi-task Hierarchical Attention Model for Sensor Analytics.
CoRR, 2019
IMRL: An Improved Inertial-Aided KLT Feature Tracker.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019
Towards Taming the Resource and Data Heterogeneity in Federated Learning.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019
2018
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018
2017
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, 2017