| 2026 | AAAI | Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating. | Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen |
| 2026 | WWW | K&L: Penetrating Backdoor Defense with Key and Locks. | Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen |
| 2026 | WWW | Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals. | Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen |
| 2025 | AAAI | Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. | Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthlemy, Jun Shen, Min Xu |
| 2025 | APSEC | LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models. | Linghan Huang, Peizhou Zhao, Huaming Chen |
| 2025 | APSEC | What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code. | Jiawen Wen, Bangshuo Zhu, Huaming Chen |
| 2025 | CIKM | Rethinking Lipschitzness Data-free Backdoor Defense. | Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim |
| 2025 | CIKM | M- | Lining Chen, Qingwen Zeng, Huaming Chen |
| 2025 | ICCV | FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen |
| 2025 | ICDM | DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations. | Qingwen Zeng, Lining Chen, Jushang Qiu, Fangchen Liu, Huaming Chen, Ling Chen |
| 2025 | ICML | Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution. | Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen |
| 2025 | ICWS | Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection. | Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen |
| 2025 | ICWS | FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen |
| 2025 | KDD | FedSC: Federated Learning with Semantic-Aware Collaboration. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen |
| 2025 | PAKDD | CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection. | Zikang Wen, Nan Yang, Yuning Zhang, Yanli Li, Zihao Yao, Huaming Chen, Dong Yuan |
| 2025 | PAKDD | SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention. | Qingwen Zeng, Nan Yang, Jushang Qiu, Junbin Gao, Huaming Chen |
| 2025 | WWW | Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection. | Yitian Yang, Huaming Chen |
| 2025 | UAI | Improving Adversarial Transferability via Decision Boundary Adaptation. | Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo |
| 2024 | AAAI | MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo |
| 2024 | AusDM | Enhanced Carbon Credits Price Prediction with Multiple Influencing Market Factors. | Qingwen Zeng, Hanlin Xu, Nanjun Xu, Junbin Gao, Huaming Chen |
| 2024 | CIKM | Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack. | Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen |
| 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 | CSCWD | Holistic Evaluation Metrics for Federated Learning. | Jehad Ibrahim, Yanli Li, Huaming Chen, Dong Yuan |
| 2024 | ICDM | CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. | Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan |
| 2024 | ICLR | Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation. | Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen |
| 2024 | ICLR | AttEXplore: Attribution for Explanation with model parameters eXploration. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim |
| 2024 | ICML | Iterative Search Attribution for Deep Neural Networks. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen |
| 2024 | PRICAI | Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. | Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen |
| 2024 | SDM | GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan |
| 2023 | ADMA | DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. | Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen |
| 2023 | AsiaCCS | POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. | Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen |
| 2023 | CIKM | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. | Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | CIKM | Improving Adversarial Transferability via Frequency-based Stationary Point Search. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | ICSE | WirelessDT: A Digital Twin Platform for Real- Time Evaluation of Wireless Software Applications. | Zhongzheng Lai, Dong Yuan, Huaming Chen, Yu Zhang, Wei Bao |
| 2022 | MSR | Noisy Label Learning for Security Defects. | Roland Croft, Muhammad Ali Babar, Huaming Chen |
| 2022 | MSR | LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. | David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar |
| 2020 | IJCNN | HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. | Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen |
| 2020 | ITS | Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. | Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen |
| 2020 | PACBB | Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. | Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin |
| 2017 | BigData | Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. | Huaming Chen, Jiangning Song, Geng Sun, Jun Shen, Lei Wang |
| 2017 | BigData | Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2017 | CSCWD | Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2016 | BigData | Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2015 | BigData | Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection. | Huaming Chen, Hong Zhao, Jun Shen, Rui Zhou, Qingguo Zhou |
| 2013 | ICPADS | Cloud Services Aided E-Tourism: In the Case of Low-Cost Airlines for Backpacking. | Jason C. Hung, Rui Zhou, Jun Hu, Huaming Chen, Qingguo Zhou, Ji Qi, Lei Yang |
| 2013 | ICPP | A Server Model for Reliable Communication on Cell/B.E. | Rui Zhou, Huaming Chen, Qun Liu, Yong Sheng, Qingguo Zhou, Xuan Wang, Kuan-Ching Li |