Kai Zhong

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
Efficient blockchain transaction execution by mitigating MPT I/O overhead on the critical path.
J. Syst. Archit., 2026

Prediction of protein thermostability trends based on the self-attention mechanism driven sparse convolutional network.
Comput. Biol. Chem., 2026

Driver Braking Intention Recognition by Transformer with Local-Aware Attention Mechanism via Dual-Channel Electromyography Signals.
Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025
Authenticated Subgraph Matching on Large-Scale Graphs in Hybrid-Storage Blockchains.
IEEE Trans. Knowl. Data Eng., November, 2025

SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs.
CoRR, September, 2025

Prediction of hematoma changes in spontaneous intracerebral hemorrhage using a Transformer-based generative adversarial network to generate follow-up CT images.
Comput. Medical Imaging Graph., 2025

Student Learning Engagement Recognition Method Based on Video Transformer.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024
Structured Light 3D Measurement of Interreflective Surfaces by Efficient Adaptive Partitioned Projection.
Proceedings of the 8th IEEE International Conference on Vision, 2024

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

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
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

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

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

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

Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
CoRR, 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
PECOS: Prediction for Enormous and Correlated Output Spaces.
CoRR, 2020

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

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

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

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

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

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

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

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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