Jun Zhuang

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

Bibliography

2024
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling.
CoRR, 2024

Blockchain for Large Language Model Security and Safety: A Holistic Survey.
CoRR, 2024

Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey.
CoRR, 2024

A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes.
CoRR, 2024

JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR, 2024

Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs.
CoRR, 2024

Improving Trainability of Variational Quantum Circuits via Regularization Strategies.
CoRR, 2024

Debiasing Machine Unlearning with Counterfactual Examples.
CoRR, 2024

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning.
CoRR, 2024

Robust Data-centric Graph Structure Learning for Text Classification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Trustworthy and Responsible AI for Information and Knowledge Management System.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Gender-specific emotional characteristics of crisis communication on social media: Case studies of two public health crises.
Inf. Process. Manag., May, 2023

Robust Node Representation Learning via Graph Variational Diffusion Networks.
CoRR, 2023

2022
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Neural Process. Lett., 2022

Deperturbation of Online Social Networks via Bayesian Label Transition.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Network.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020
Anti-perturbation of Online Social Networks by Graph Label Transition.
CoRR, 2020

Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks.
CoRR, 2020

Stability analysis and control strategies for worm attack in mobile networks via a VEIQS propagation model.
Appl. Math. Comput., 2020

2019
Asymptotics for a delay-claim risk model with diffusion, dependence structures and constant force of interest.
J. Comput. Appl. Math., 2019

An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth.
Clust. Comput., 2019

Lighter U-net for segmenting white matter hyperintensities in MR images.
Proceedings of the MobiQuitous 2019, 2019

Into the Reverie: Exploration of the Dream Market.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach.
OR Spectr., 2018

2010
Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex.
IEEE Trans. Biomed. Eng., 2010

2006
Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion.
Medical Biol. Eng. Comput., 2006

2005
Image Object Recognition by SVMs and Evidence Theory.
Proceedings of the Image and Video Retrieval, 4th International Conference, 2005

An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2000
Transform coding with backward adaptive updates.
IEEE Trans. Inf. Theory, 2000

1999
A multichannel CSMA MAC protocol for multihop wireless networks.
Proceedings of the 1999 IEEE Wireless Communications and Networking Conference, 1999

1997
Universal Transform Coding Based on Backward Adaptation.
Proceedings of the 7th Data Compression Conference (DCC '97), 1997

1996
Transform coding using adaptive bases and quantization.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996


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