| 2026 | AAAI | QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs. | Maqsudur Rahman, Jun Zhuang |
| 2026 | AAAI | Fair Graph Learning with Limited Sensitive Attribute Information. | Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang |
| 2026 | ACL | Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain. | Gang Cheng, Haibo Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang |
| 2026 | ACL | Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks. | Jun Zhuang, Chaowen Guan |
| 2026 | EACL | Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models. | Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang |
| 2025 | EMNLP | Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. | Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang |
| 2025 | MICCAI | NQNN: Noise-Aware Quantum Neural Networks for Medical Image Classification. | Maqsudur Rahman, Jun Zhuang |
| 2025 | QCE | Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies. | Jun Zhuang, Jack Cunningham, Chaowen Guan |
| 2024 | CIKM | Trustworthy and Responsible AI for Information and Knowledge Management System. | Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo |
| 2024 | WWW | Robust Data-centric Graph Structure Learning for Text Classification. | Jun Zhuang |
| 2022 | AAAI | Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. | Jun Zhuang, Mohammad Al Hasan |
| 2022 | CIKM | Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. | Jun Zhuang, Mohammad Al Hasan |
| 2022 | SDM | Deperturbation of Online Social Networks via Bayesian Label Transition. | Jun Zhuang, Mohammad Al Hasan |
| 2019 | Mobiquitous | Lighter U-net for segmenting white matter hyperintensities in MR images. | Jun Zhuang, Mingchen Gao, Mohammad Al Hasan |
| 2017 | FUSION | Game-theoretic strategies for asymmetric networked systems. | Nageswara S. V. Rao, Chris Y. T. Ma, Kjell Hausken, Fei He, David K. Y. Yau, Jun Zhuang |
| 2016 | FUSION | Defense strategies for infrastructures with multiple systems of components. | Nageswara S. V. Rao, Chris Y. T. Ma, Kjell Hausken, Fei He, Jun Zhuang |
| 2015 | FUSION | On resilience of cyber-physical infrastructures using discrete product-form games. | Nageswara S. V. Rao, Chris Y. T. Ma, Urvashi Shah, Jun Zhuang, Fei He, David K. Y. Yau |
| 2014 | FUSION | Cyber-physical correlations for infrastructure resilience: A game-theoretic approach. | Nageswara S. V. Rao, Chris Y. T. Ma, Fei He, Jun Zhuang, David K. Y. Yau |
| 2010 | WSC | Monte Carlo simulation-based supply chain disruption management for wargames. | Shilan Jin, Jun Zhuang, Zigeng Liu |
| 2005 | ADMA | An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. | Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang |
| 1999 | WCNC | A multichannel CSMA MAC protocol for multihop wireless networks. | Asis Nasipuri, Jun Zhuang, Samir R. Das |
| 1997 | DCC | Universal Transform Coding Based on Backward Adaptation. | Vivek K. Goyal, Jun Zhuang, Martin Vetterli |
| 1996 | ICIP | Transform coding using adaptive bases and quantization. | Vivek K. Goyal, Jun Zhuang, Martin Vetterli, Christopher Chan |