Kai Zhong

Orcid: 0000-0001-5078-4665

According to our database1, Kai Zhong authored at least 104 papers between 2007 and 2024.

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Bibliography

2024
User Identification Across Multiple Social Networks Based on Naive Bayes Model.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Robust Transceiver Design for ISAC Systems via Product Complex Circle-Sphere Manifold Method.
IEEE Trans. Instrum. Meas., 2024

Sum-Path-Gain Maximization for IRS-Aided MIMO Communication System via Riemannian Gradient Descent Network.
IEEE Signal Process. Lett., 2024

MIMO Radar Waveform Design for Range-ISL Optimization via Iterative Deep Unfolding Network.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Ambiguity Function Shaping via Manifold Optimization Embedding With Momentum.
IEEE Commun. Lett., October, 2023

Gluing Atmospheric Lidar Signals Based on an Improved Gray Wolf Optimizer.
Remote. Sens., August, 2023

Uncertainty Evaluation on Temperature Detection of Middle Atmosphere by Rayleigh Lidar.
Remote. Sens., July, 2023

SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Privacy-Preserving Link Prediction in Multiple Private Networks.
IEEE Trans. Comput. Soc. Syst., April, 2023

RIS Assisted Multiple User Interference Mitigation via an Accelerated Coordinate Descent Method.
IEEE Trans. Cogn. Commun. Netw., February, 2023

MIMO Radar Transmit Waveform Design for Beampattern Matching via Complex Circle Optimization.
Remote. Sens., February, 2023

Constant Modulus MIMO Radar Waveform Design via Iterative Optimization Network Method.
IEEE Trans. Instrum. Meas., 2023

A Flexible Monitoring Framework via Dynamic-Multilayer Graph Convolution Network.
IEEE Trans. Instrum. Meas., 2023

FOSS: A Self-Learned Doctor for Query Optimizer.
CoRR, 2023

3D Positioning and Robot Assembly Method for Multi-plane Workpiece.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Mimo Radar Transmit Beampattern Matching Via Manifold Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2023

RIS-Aided ISAC Waveform Design via Parallel Product Complex Circle Manifold.
Proceedings of the IEEE Global Communications Conference, 2023

Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

GWO-KGC: A Novel Time Series Causal Analysis Scheme.
Proceedings of the CAA Symposium on Fault Detection, 2023

NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud.
ACM Trans. Reconfigurable Technol. Syst., 2022

An Efficient Parallel Reinforcement Learning Approach to Cross-Layer Defense Mechanism in Industrial Control Systems.
IEEE Trans. Parallel Distributed Syst., 2022

Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization.
IEEE Trans. Cybern., 2022

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Constant modulus waveform design for MIMO radar via manifold optimization.
Signal Process., 2022

Rayleigh Lidar Signal Denoising Method Combined with WT, EEMD and LOWESS to Improve Retrieval Accuracy.
Remote. Sens., 2022

Dithered Depth Imaging for Single-Photon Lidar at Kilometer Distances.
Remote. Sens., 2022

PECOS: Prediction for Enormous and Correlated Output Spaces.
J. Mach. Learn. Res., 2022

MIMO Radar Beampattern Design Based on Manifold Optimization Method.
IEEE Commun. Lett., 2022

RIS-Aided Multiple User Interference Mitigation via Fast Successive Upper-Bound Minimization Method.
IEEE Commun. Lett., 2022

The phase only beamforming synthesis via an accelerated coordinate descent method.
Digit. Signal Process., 2022

Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Remaining Useful Life Prediction of Bearing via a Double Attention-Based Deep Neural Network.
Proceedings of the IEEE Smartworld, 2022

DOL-net: a decoupled online learning network method for RIS-assisted ISAC waveform design.
Proceedings of the ISACom@MobiCom 2022: Proceedings of the 1st ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2022

Constant Modulus Waveform Design for Integrated Sensing and Communication Systems.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

MIMO Radar Waveform Optimization By Deep Learning Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The phase-only null beamforming synthesis via manifold optimization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Local Correspondence Clustering, Global Pose Verification: Efficient and Robust 3D Object Recognition.
Proceedings of the ICCDA 2022: The 6th International Conference on Compute and Data Analysis, Virtual Event / Shanghai, China, February 25, 2022

A Robust and Accurate Post-Validation Voting Scheme for Ranking 3D Correspondences.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects.
Proceedings of the 7th International Conference on Automation, 2022

2021
Machine Learning for Electronic Design Automation: A Survey.
ACM Trans. Design Autom. Electr. Syst., 2021

A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains.
Sensors, 2021

PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching.
Sensors, 2021

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.
CoRR, 2021

Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
CoRR, 2021

Extreme Multi-label Learning for Semantic Matching in Product Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews.
Proceedings of the 16th International Conference on Software Technologies, 2021

Trust Evaluation Algorithm based on Association Rule Extraction.
Proceedings of the 5th IEEE International Conference on Cryptography, Security and Privacy, 2021

2020
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference.
IEEE Trans. Control. Syst. Technol., 2020

An efficient parallel direction-based clustering algorithm.
J. Parallel Distributed Comput., 2020

Data-driven based fault prognosis for industrial systems: a concise overview.
IEEE CAA J. Autom. Sinica, 2020

Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective.
Eng. Appl. Artif. Intell., 2020

PECOS: Prediction for Enormous and Correlated Output Spaces.
CoRR, 2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.
CoRR, 2020

Design of Navigation System for Liver Surgery Guided by Augmented Reality.
IEEE Access, 2020

Taming Pretrained Transformers for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview.
IEEE Trans. Cybern., 2019

Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors.
Sensors, 2019

High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry.
Sensors, 2019

A Stereo-Vision System for Measuring the Ram Speed of Steam Hammers in an Environment with a Large Field of View and Strong Vibrations.
Sensors, 2019

Fractional Order Anisotropy at 9.4 T.
J. Medical Imaging Health Informatics, 2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR, 2019

Provable Non-linear Inductive Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
In Situ 3D Monitoring of Geometric Signatures in the Powder-Bed-Fusion Additive Manufacturing Process via Vision Sensing Methods.
Sensors, 2018

A Robot-Driven 3D Shape Measurement System for Automatic Quality Inspection of Thermal Objects on a Forging Production Line.
Sensors, 2018

Fast HEVC Inter-Prediction Algorithm Based on Matching Block Features.
Int. J. Mob. Comput. Multim. Commun., 2018

Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.
CoRR, 2018

Deep learning for steganalysis based on filter diversity selection.
Sci. China Inf. Sci., 2018

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Power Grid Reduction by Sparse Convex Optimization.
Proceedings of the 2018 International Symposium on Physical Design, 2018

Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
New algebraic conditions for ISS of memristive neural networks with variable delays.
Neural Comput. Appl., 2017

Investigation on the Performances of Vuilleumier Cycle Heat Pump Adopting Mixture Refrigerants.
Entropy, 2017

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.
CoRR, 2017

Fast second-order cone programming for safe mission planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Recovery Guarantees for One-hidden-layer Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fast Classification with Binary Prototypes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2016

Further results for global exponential stability of stochastic memristor-based neural networks with time-varying delays.
Int. J. Syst. Sci., 2016

Mixed Linear Regression with Multiple Components.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coordinate-wise Power Method.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Practical public PUF enabled by solving max-flow problem on chip.
Proceedings of the 53rd Annual Design Automation Conference, 2016

2015
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.
CoRR, 2015

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances.
Neural Networks, 2014

Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching.
Neural Comput. Appl., 2014

Robustness analysis for parameter matrices of global exponential stable stochastic time varying delay systems.
Commun. Nonlinear Sci. Numer. Simul., 2014

Robustness analysis for parameter matrices of global exponential stability time varying delay systems.
Appl. Math. Comput., 2014

Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Real-time 3D shape measurement system with full temporal resolution and spatial resolution.
Proceedings of the Three-Dimensional Image Processing, 2014

2011
Phase contrast imaging in neonates.
NeuroImage, 2011

2008
The molecular basis for gray and white matter contrast in phase imaging.
NeuroImage, 2008

2007
MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance.
NeuroImage, 2007


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