| 2026 | AAAI | Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure. | Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang |
| 2026 | PAKDD | MultiADC: Advanced Antibody-Drug Conjugate Activity Prediction Through Multi-scale Feature Fusion. | Minghui Li, Yang Wu, Zikang Guo, Peijin Guo, Shengshan Hu, Shengqing Hu, Xiaoli Lan |
| 2025 | AAAI | Detecting and Corrupting Convolution-based Unlearnable Examples. | Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang |
| 2025 | AAAI | Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature. | Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li |
| 2025 | AAAI | Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. | Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang |
| 2025 | CVPR | Test-Time Backdoor Detection for Object Detection Models. | Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang |
| 2025 | EMNLP | Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling. | Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang |
| 2025 | ICASSP | An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration. | Minghui Li, Lei Yu, Hewen Pan, Shengqing Hu, Longling Zhang, Shengshan Hu, Wei Wan, Peijin Guo |
| 2025 | ICASSP | PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation. | Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang |
| 2025 | ICLR | BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. | Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang |
| 2025 | SP | Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset. | Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang |
| 2024 | ESORICS | PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds. | Xianlong Wang, Minghui Li, Peng Xu, Wei Liu, Leo Yu Zhang, Shengshan Hu, Yanjun Zhang |
| 2024 | ICA3PP | SwinMixer Detector: A Two-Level Traffic Flow Detection System Based on Swin Transformer and MLP-Mixer. | Lu Lu, Menghao Fang, Xia Li, Minghui Li, Tianwei Lei, Zixiao Kong |
| 2024 | ICASSP | MISA: Unveiling the Vulnerabilities in Split Federated Learning. | Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin |
| 2024 | IJCAI | DarkFed: A Data-Free Backdoor Attack in Federated Learning. | Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang |
| 2024 | IJCNN | Rain Streak Attention Network for Single Image Deraining. | Zhiguo Kang, Wei Liu, Caiwang Zhang, Minghui Li |
| 2024 | IJCNN | Single Image Dehazing via Multi-Scale Large Kernel Convolutional Neural Networks. | Minghui Li, Wei Liu, Zhiguo Kang, Xiaoyu Huang |
| 2024 | ISSRE | REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. | Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang |
| 2024 | SP | Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. | Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin |
| 2024 | SP | Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. | Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2023 | AAAI | PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. | Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun |
| 2023 | CVPR | Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. | Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao |
| 2022 | CVPR | Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. | Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu |
| 2022 | IGARSS | Wilderness Mapping in Northeast China Based on Deep Learning. | Ping Zhang, Qinluo Zhong, Minghui Li, Hao Wang, Jiaxuan Cui |
| 2021 | DASFAA | An Attention-Based Approach to Rule Learning in Large Knowledge Graphs. | Minghui Li, Kewen Wang, Zhe Wang, Hong Wu, Zhiyong Feng |
| 2020 | ICPADS | Secure Door on Cloud: A Secure Data Transmission Scheme to Protect Kafka's Data. | Hanyi Zhang, Liming Fang, Keyu Jiang, Weiting Zhang, Minghui Li, Lu Zhou |
| 2020 | INFOCOM | Analysis, Modeling, and Implementation of Publisher-side Ad Request Filtering. | Liang Lv, Ke Xu, Haiyang Wang, Meng Shen, Yi Zhao, Minghui Li, Guanhui Geng, Zhichao Liu |
| 2020 | TrustCom | ELPPS: An Enhanced Location Privacy Preserving Scheme in Mobile Crowd-Sensing Network Based on Edge Computing. | Minghui Li, Yang Li, Liming Fang |
| 2019 | IGARSS | An Auxiliary Parking Method Based on Automotive Millimeter wave SAR. | Rufei Wang, Jifang Pei, Yongchao Zhang, Minghui Li, Yulin Huang, Junjie Wu |
| 2019 | IGARSS | Parking Space Information Monitoring by Millimeter Wave SAR Based on Unmanned Aerial Vehicle. | Minghui Li, Yongchao Zhang, Rufei Wang, Junjie Wu, Yulin Huang, Yin Zhang, Jianyu Yang |
| 2018 | ICDM | A Residual Convolution Neural Network for Sea Ice Classification with Sentinel-1 SAR Imagery. | Wei Song, Minghui Li, Qi He, Dongmei Huang, Cristian Perra, Antonio Liotta |
| 2018 | ICPP | Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines. | Yusen Li, Xueyan Tang, Wentong Cai, Jiancong Tong, Xiaoguang Liu, Gang Wang, Chuansong Gao, Xuan Cao, Guanhui Geng, Minghui Li |
| 2018 | INFOCOM | InstantCryptoGram: Secure Image Retrieval Service. | Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li |
| 2017 | ICDCS | A Communication-Aware Container Re-Distribution Approach for High Performance VNFs. | Yuchao Zhang, Yusen Li, Ke Xu, Dan Wang, Minghui Li, Xuan Cao, Qingqing Liang |
| 2016 | TrustCom | Privacy Preservation in Social Network against Public Neighborhood Attacks. | Minghui Li, Zhaobin Liu, Kang Dong |
| 2015 | CSCWD | A SLA-based scheduling approach for multi-tenant cloud simulation. | Gongzhuang Peng, Jiaxin Zhao, Minghui Li, Baocun Hou, Heming Zhang |
| 2014 | CSCWD | Multi-level knowledge representation and retrieval of complex product design based on BOM. | Gongzhuang Peng, Huachao Mao, Minghui Li, Heming Zhang |
| 2014 | SMC | Improving relation descriptor extraction with word embeddings and cluster features. | Tao Liu, Minghui Li |
| 2011 | AAAI | Partially Supervised Text Classification with Multi-Level Examples. | Tao Liu, Xiaoyong Du, Yong-Dong Xu, Minghui Li, Xiaolong Wang |
| 2011 | CIKM | Sentiment classification via l2-norm deep belief network. | Tao Liu, Minghui Li, Shusen Zhou, Xiaoyong Du |
| 2007 | ACL | A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation. | Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming Zhou, Yi Guan |
| 2007 | SMC | Extracting domain-specific terms from unlabeled web documents by bootstrapping and term classifiers. | Tao Liu, Xiaolong Wang, Bingquan Liu, Yuanchao Liu, Minghui Li |