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Jun Zhuang
Observed name:
Zhuang, Jun
Institution:
Boise State University
Observed institutions:
Rutgers, The State University of New Jersey,
University of Notre Dame,
Boise State University,
University of Pittsburgh,
Purdue University System,
Purdue University in Indianapolis,
Indiana University – Purdue University Indianapolis,
Indiana University
show all 8
ORCID:
0000-0002-7142-2193
Observed ORCID:
0000-0002-7142-2193
OpenAlex ID:
A5084608795
Investigating and mitigating barren plateaus in variational quantum circuits: a survey
2025
·
Jack Cunningham
, Jun Zhuang
·
Quantum Information Processing
·
36
PDF
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey
2025
·
Chengyuan Deng
, Yiqun Duan
, et al.
·
AI and Ethics
·
26
PDF
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
2022
·
Jun Zhuang
, Mohammad Al Hasan
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
24
Blockchain for Large Language Model Security and Safety: A Holistic Survey
2025
·
Caleb Geren
, Amanda Board
, et al.
·
ACM SIGKDD Explorations Newsletter
·
15
PDF
Robust Node Classification on Graphs
2022
·
Jun Zhuang
, Mohammad Al Hasan
·
Proceedings of the ... ACM International Conference on Information & Knowledge Management
·
11
PDF
Digital Forensics in the Age of Large Language Models
2025
·
Zhipeng Yin
, Zichong Wang
, et al.
·
Signals and communication technology
·
8
PDF
A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
2024
·
Arifin, Md Mashrur
, Ahmed, Md Shoaib
, et al.
·
arXiv (Cornell University)
·
8
PDF
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
2024
·
Jun Zhuang
, Casey Kennington
·
Workshop on Scholarly Document Processing (SDP)
·
8
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks
2021
·
Jun Zhuang
, Dali Wang
·
Lecture notes in electrical engineering
·
7
PDF
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
2022
·
Jun Zhuang
, Mohammad Al Hasan
·
Neural Processing Letters
·
6
PDF
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
2021
·
Jun Zhuang
, Mohammad Al Hasan
·
Lecture notes in computer science
·
6
PDF
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
2025
·
Jun Zhuang
, Haibo Jin
, et al.
·
5
PDF
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
2024
·
Jin, Haibo
, Hu, Leyang
, et al.
·
arXiv (Cornell University)
·
5
PDF
Deperturbation of Online Social Networks via Bayesian Label Transition
2022
·
Jun Zhuang
, Mohammad Al Hasan
·
Society for Industrial and Applied Mathematics eBooks
·
5
PDF
Into the Reverie: Exploration of the Dream Market
2019
·
Theo Carr
, Jun Zhuang
, et al.
·
IEEE International Conference on Big Data (BigData)
·
5
PDF
Lighter U-net for segmenting white matter hyperintensities in MR images
2019
·
Jun Zhuang
, Mingchen Gao
, et al.
·
EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)
·
4
PDF
NQNN: Noise-Aware Quantum Neural Networks for Medical Image Classification
2025
·
Maqsudur Rahman
, Jun Zhuang
·
Lecture notes in computer science
·
3
Robust Data-centric Graph Structure Learning for Text Classification
2024
·
Jun Zhuang
·
ACM Web Conference (WWW)
·
3
Robust Node Representation Learning via Graph Variational Diffusion Networks
2023
·
Zhuang, Jun
, Hasan, Mohammad Al
·
arXiv (Cornell University)
·
3
PDF
Anti-perturbation of Online Social Networks by Graph Label Transition.
2020
·
Jun Zhuang
, Mohammad Al Hasan
·
arXiv (Cornell University)
·
2
Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
2026
·
Jun Zhuang
, Chaowen Guan
·
1
PDF
Mapping Deep Learning to Blockchain Security: A Survey
2025
·
Vanessa Ortiz
, Alexandria Bates
, et al.
·
ACM SIGKDD Explorations Newsletter
·
1
Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
2025
·
Jun Zhuang
, Jack Cunningham
, et al.
·
IEEE International Conference on Quantum Computing and Engineering (QCE)
·
1
PDF
Trustworthy and Responsible AI for Information and Knowledge Management System
2024
·
Huaming Chen
, Jun Zhuang
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
1
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
2024
·
He, Shuqi
, Zhuang, Jun
, et al.
·
arXiv (Cornell University)
·
1
PDF
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Works count:
64
Citation count:
198
H-index:
8
I10-index:
5
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