Jun Zhuang

44 papers A* 3A 3C 1Journal 28Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fair Graph Learning with Limited Sensitive Attribute Information.
AAAI
Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang
2026 — conf
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
EACL (Volume 1: Long Papers)
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2026 J jnl
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
CoRR
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2026 J jnl
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection.
CoRR
Zhengjian Kang, Jun Zhuang, Kangtong Mo, Qi Chen, Rui Liu, Ye Zhang
2026 A* conf
QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs.
AAAI
Maqsudur Rahman, Jun Zhuang
2025 J jnl
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey.
AI Ethics
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
2025 J jnl
Digital Forensics in the Age of Large Language Models.
CoRR
Zhipeng Yin, Zichong Wang, Weifeng Xu, Jun Zhuang, Pallab Mozumder, Antoinette Smith, Wenbin Zhang
2025 — conf
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation.
EMNLP (Findings)
Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025 J jnl
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation.
CoRR
Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025 — conf
Fairness-Aware Graph Representation Learning with Limited Demographic Information.
ECML/PKDD (1)
Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang
2025 J jnl
Fairness-Aware Graph Representation Learning with Limited Demographic Information.
CoRR
Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang
2025 J jnl
InfoFlood: Jailbreaking Large Language Models with Information Overload.
CoRR
Advait Yadav, Haibo Jin, Man Luo, Jun Zhuang, Haohan Wang
2025 J jnl
Investigating and mitigating barren plateaus in variational quantum circuits: a survey.
Quantum Inf. Process.
Jack Cunningham, Jun Zhuang
2025 J jnl
Large Language Models Can Help Mitigate Barren Plateaus.
CoRR
Jun Zhuang, Chaowen Guan
2025 J jnl
Mapping Deep Learning to Blockchain Security: A Survey.
SIGKDD Explor.
Vanessa Ortiz, Alexandria Bates, Gaby G. Dagher, Jun Zhuang, Tim Andersen
2025 — conf
NQNN: Noise-Aware Quantum Neural Networks for Medical Image Classification.
MICCAI (13)
Maqsudur Rahman, Jun Zhuang
2025 J jnl
Uncovering the Vulnerability of Large Language Models in the Financial Domain via Risk Concealment.
CoRR
Gang Cheng, Hai Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang
2025 — conf
VulnDetective: Using LLM Agents to Analyze Common Weaknesses and Identify Smart Contract Vulnerabilities.
TPS-ISA
Thanmai Mandala, Cora Zeger, Tessa Andersen, Gaby G. Dagher, Jun Zhuang
2024 J jnl
A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes.
CoRR
Md Mashrur Arifin, Md Shoaib Ahmed, Tanmai Kumar Ghosh, Jun Zhuang, Jyh-haw Yeh
2024 J jnl
Blockchain for Large Language Model Security and Safety: A Holistic Survey.
CoRR
Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang
2024 J jnl
Blockchain for Large Language Model Security and Safety: A Holistic Survey.
SIGKDD Explor.
Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang
2024 J jnl
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024 J jnl
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
2024 J jnl
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs.
CoRR
Shuqi He, Jun Zhuang, Ding Wang, Luyao Peng, Jun Song
2024 J jnl
Improving Trainability of Variational Quantum Circuits via Regularization Strategies.
CoRR
Jun Zhuang, Jack Cunningham, Chaowen Guan
2024 J jnl
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey.
CoRR
Jack Cunningham, Jun Zhuang
2024 J jnl
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR
Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
2024 — conf
Robust Data-centric Graph Structure Learning for Text Classification.
WWW (Companion Volume)
Jun Zhuang
2024 A conf
Trustworthy and Responsible AI for Information and Knowledge Management System.
CIKM
Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo
2024 J jnl
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning.
CoRR
Jun Zhuang, Casey Kennington
2023 J jnl
Robust Node Representation Learning via Graph Variational Diffusion Networks.
CoRR
Jun Zhuang, Mohammad Al Hasan
2022 A* conf
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision.
AAAI
Jun Zhuang, Mohammad Al Hasan
2022 J jnl
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision.
CoRR
Jun Zhuang, Mohammad Al Hasan
2022 A conf
Deperturbation of Online Social Networks via Bayesian Label Transition.
SDM
Jun Zhuang, Mohammad Al Hasan
2022 J jnl
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Neural Process. Lett.
Jun Zhuang, Mohammad Al Hasan
2022 A conf
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation.
CIKM
Jun Zhuang, Mohammad Al Hasan
2022 J jnl
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation.
CoRR
Jun Zhuang, Mohammad Al Hasan
2021 — conf
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Network.
MICAD
Jun Zhuang, Dali Wang
2021 J jnl
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks.
CoRR
Jun Zhuang, Mohammad Al Hasan
2021 — conf
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks.
ECML/PKDD (2)
Jun Zhuang, Mohammad Al Hasan
2020 J jnl
Anti-perturbation of Online Social Networks by Graph Label Transition.
CoRR
Jun Zhuang, Mohammad Al Hasan
2020 J jnl
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks.
CoRR
Jun Zhuang, Dali Wang
2019 — conf
Into the Reverie: Exploration of the Dream Market.
IEEE BigData
Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George O. Mohler
2019 C conf
Lighter U-net for segmenting white matter hyperintensities in MR images.
MobiQuitous
Jun Zhuang, Mingchen Gao, Mohammad Al Hasan