Kaixuan Zhang

Orcid: 0000-0001-8511-9032

According to our database1, Kaixuan Zhang authored at least 42 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
ACF: An Adaptive Compression Framework for Multimodal Network in Embedded Devices.
IEEE Trans. Mob. Comput., May, 2024

Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device.
Comput. Biol. Medicine, January, 2024

Training and Testing Texture Similarity Metrics for Structurally Lossless Compression.
IEEE Trans. Image Process., 2024

2023
Film Grain Rendering and Parameter Estimation.
ACM Trans. Graph., August, 2023

Monolayer Graphene Terahertz Detector Integrated with Artificial Microstructure.
Sensors, March, 2023

Resilient control for T-S fuzzy systems with multiple transmission channels under asynchronous denial-of-Service attacks.
J. Frankl. Inst., February, 2023

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference.
CoRR, 2023

An Auto-Encoder Based Method for Camera Fingerprint Compression.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Cross-Domain Federated Learning Framework for Wireless Human Sensing.
IEEE Netw., 2022

Differentiable hierarchical and surrogate gradient search for spiking neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discrete time convolution for fast event-based stereo.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cycling Trajectory-Based Navigation Independent of Road Network Data Support.
ISPRS Int. J. Geo Inf., 2021

An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks.
Entropy, 2021

2020
Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks.
IEEE Trans. Veh. Technol., 2020

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.
Neural Comput., 2020

Lightweight Comprehensive Evaluation Method for Wireless User Perception Based on Random Forest.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Cellular Network Performance using Machine Learning based Quantitative Association Rule Mining Method.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Deep Learning, Grammar Transfer, and Transportation Theory.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Rhythm: component-distinguishable workload deployment in datacenters.
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

A Large Dataset of Historical Japanese Documents with Complex Layouts.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Models for Deterministic Finite Automata.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.
CoRR, 2019

Random Forest Algorithm-Based Lightweight Comprehensive Evaluation for Wireless User Perception.
IEEE Access, 2019

WeUp: Wireless User Perception Based on Dimensional Reduction and Semi-Supervised Clustering.
IEEE Access, 2019

Cell Scene Division and Visualization Based on Autoencoder and K-Means Algorithm.
IEEE Access, 2019

Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance.
IEEE Access, 2019

Identification of Wireless User Perception Based on Unsupervised Machine Learning.
Proceedings of the Advanced Hybrid Information Processing, 2019

2018
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.
Neural Comput., 2018

4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data.
ISPRS Int. J. Geo Inf., 2018

Verification of Recurrent Neural Networks Through Rule Extraction.
CoRR, 2018

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.
CoRR, 2018

Person Re-id by Incorporating PCA Loss in CNN.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Defending Against Adversarial Samples Without Security through Obscurity.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
An Empirical Evaluation of Recurrent Neural Network Rule Extraction.
CoRR, 2017

Towards Interrogating Discriminative Machine Learning Models.
CoRR, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A fast HDL model for full-custom FPGA verification.
Proceedings of the 12th IEEE International Conference on ASIC, 2017

A high performance real-time edge detection system with NEON.
Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016
Random Feature Nullification for Adversary Resistant Deep Architecture.
CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.
CoRR, 2016

2015
Design a web portal for visualizing and exploring service quality of global OGC Web Map Services.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2006
Chinese Organization Name Recognition Using Chunk Analysis.
Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, 2006


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