Huaming Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 80

Top Topics

Machine Learning

Top Venues

BigData Congress

Briefings Bioinform.

Publications

Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation. ICLR (2024)
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells. CoRR (2024)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. AAAI (2024)
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. CoRR (2024)
Wenzhen Liu, Guoqiang Zhou, Xiaoyu Mao, Shudi Bao, Haoran Li, Jiahua Shi, Huaming Chen, Jun Shen, Yuanming Huang
Global disentangled graph convolutional neural network based on a graph topological metric. Knowl. Based Syst. 284 (2024)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim
AttEXplore: Attribution for Explanation with model parameters eXploration. ICLR (2024)
Guoqiang Zhou, Yuke Qin, Qiansen Hong, Haoran Li, Huaming Chen, Jun Shen
GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. Briefings Bioinform. 25 (4) (2024)
Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges. CoRR (2024)
Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen
Code Ownership in Open-Source AI Software Security. RAIE@ICSE (2024)
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR (2024)
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
On Security Weaknesses and Vulnerabilities in Deep Learning Systems. CoRR (2024)
Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma
Large Language Models Based Fuzzing Techniques: A Survey. CoRR (2024)
Jehad Ibrahim, Yanli Li, Huaming Chen, Dong Yuan
Holistic Evaluation Metrics for Federated Learning. CSCWD (2024)
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. SDM (2024)
Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu, Huaming Chen
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness. CoRR (2024)
Yanli Li, Jehad Ibrahim, Huaming Chen, Dong Yuan, Kim-Kwang Raymond Choo
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning. CoRR (2024)
Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan
Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. Inf. Sci. 667 (2024)
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen
Benchmarking Transferable Adversarial Attacks. CoRR (2024)
Huaming Chen, Muhammad Ali Babar
Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges. ACM Comput. Surv. 56 (6) (2024)
Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks. CoRR (2024)
Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM (2023)
Yanli Li, Laicheng Zhong, Dong Yuan, Huaming Chen, Wei Bao
ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning. ACSW (2023)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks. CoRR (2023)
Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact. SSE (2023)
Yu Zhang, Huaming Chen, Zhongzheng Lai, Zao Zhang, Dong Yuan
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. AI (1) (2023)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
Improving Adversarial Transferability via Frequency-based Stationary Point Search. CIKM (2023)
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
DANAA: Towards transferable attacks with double adversarial neuron attribution. CoRR (2023)
Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen
Code Ownership in Open-Source AI Software Security. CoRR (2023)
Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. AsiaCCS (2023)
Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo
FairCompass: Operationalising Fairness in Machine Learning. CoRR (2023)
Yanli Li, Huaming Chen, Wei Bao, Zhengmeng Xu, Dong Yuan
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios. CoRR (2023)
Yuheng Huang, Jiayang Song, Zhijie Wang, Huaming Chen, Lei Ma
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models. CoRR (2023)
Yu Zhang, Huaming Chen, Wei Bao, Zhongzheng Lai, Dong Yuan, Zao Zhang
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. CoRR (2023)
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Comput. Surv. 55 (5) (2023)
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. ADMA (2) (2023)
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning. ECML/PKDD (1) (2023)
Zhongzheng Lai, Dong Yuan, Huaming Chen, Yu Zhang, Wei Bao
WirelessDT: A Digital Twin Platform for Real- Time Evaluation of Wireless Software Applications. ICSE Companion (2023)
Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Huaming Chen, Muhammad Ali Babar
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges. CoRR (2022)
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. CoRR (2022)
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. MSR (2022)
Roland Croft, Muhammad Ali Babar, Huaming Chen
Noisy Label Learning for Security Defects. MSR (2022)
Roland Croft, Muhammad Ali Babar, Huaming Chen
Noisy Label Learning for Security Defects. CoRR (2022)
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. CoRR (2021)
Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22 (3) (2021)
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
A framework towards data analytics on host-pathogen protein-protein interactions. J. Ambient Intell. Humaniz. Comput. 11 (11) (2020)
Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen
Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. ITS (2020)
Jianfeng Sun, Huaming Chen, Jieli Duan, Zhu Liu, Qingchuang Zhu
Mechanical properties of the grooved-wheel drilling particles under multivariate interaction influenced based on 3D printing and EDEM simulation. Comput. Electron. Agric. 172 (2020)
Fucun Li, Ailing Yang, Huaming Chen, Geng Sun, Fang Wang, Yunzhou Xie, Jiaqi Li, Jun Shen
Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks. IEEE BigData (2020)
Huaming Chen, Fucun Li, Geng Sun, Xuyun Zhang, Xianjun Dong, Lei Wang, Kewen Liao, Haifeng Shen, Jun Shen
A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies. SCC (2020)
Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
An intelligent blockchain-based system for safe vaccine supply and supervision. Int. J. Inf. Manag. 52 (2020)
Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN (2020)
Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. PACBB (2020)
Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data. Concurr. Comput. Pract. Exp. 32 (23) (2020)
Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang
Saec: similarity-aware embedding compression in recommendation systems. APSys (2020)
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou
A novel Monte Carlo-based neural network model for electricity load forecasting. Int. J. Embed. Syst. 12 (4) (2020)
Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen
Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions. CBD (2019)
Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang
Saec: Similarity-Aware Embedding Compression in Recommendation Systems. CoRR (2019)
Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. IEEE BigData (2019)
Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou
GVM based intuitive simulation web application for collision detection. Neurocomputing 279 (2018)
Ruimin Li, Geoffrey Rose, Huaming Chen, Jun Shen
Effective long-term travel time prediction with fuzzy rules for tollway. Neural Comput. Appl. 30 (9) (2018)
Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
Towards Biological Sequence Data Service with Insights. IEEE BigData (2018)
Huaming Chen, William W. Guo, Jun Shen, Lei Wang, Jiangning Song
Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey. IEEE Access 6 (2018)
Qingguo Zhou, Chong Chen, Gaofeng Zhang, Huaming Chen, Dan Chen, Yingnan Yan, Jun Shen, Rui Zhou
Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks. J. Sens. Actuator Networks 7 (1) (2018)
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network. CoRR (2018)
Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. IEEE BigData (2018)
Jian Li, Junwei Nie, Huaming Chen, Guangfu Sun, Feixue Wang
A New Model of Effective Carrier-to-Noise Ratio for Global Navigation Satellite System Receiver in the Presence of Continuous Wave Interference. IEICE Trans. Commun. (6) (2017)
Zukun Lu, Junwei Nie, Feiqiang Chen, Huaming Chen, Gang Ou
Adaptive Time Taps of STAP Under Channel Mismatch for GNSS Antenna Arrays. IEEE Trans. Instrum. Meas. 66 (11) (2017)
Huaming Chen, Jiangning Song, Geng Sun, Jun Shen, Lei Wang
Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. BigData Congress (2017)
Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou
Intelligent monitor system based on cloud and convolutional neural networks. J. Supercomput. 73 (7) (2017)
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. BigData Congress (2017)
Hong Tang, Huaming Chen, Ting Li
Quantitative Measurement of Respiratory Split in the Second Heart Sound. CinC (2017)
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. CSCWD (2017)
Geng Sun, Tingru Cui, Dongming Xu, Huaming Chen, Shiping Chen, Jun Shen
Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution. SCC (2017)
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland. ACSW (2017)
Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou
Parallel GPU-based collision detection of irregular vessel wall for massive particles. Clust. Comput. 20 (3) (2017)
Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen
A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction. EAI Endorsed Trans. Scalable Inf. Syst. 3 (8) (2016)
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. BigData Congress (2016)
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
Classification of Normal/Abnormal Heart Sound Recordings based on Multi-Domain Features and Back Propagation Neural Network. CinC (2016)
Lijuan Wang, Jun Shen, Qingguo Zhou, Zhihao Shang, Huaming Chen, Hong Zhao
An Evaluation of the Dynamics of Diluted Neural Network. Int. J. Comput. Intell. Syst. 9 (6) (2016)
Huaming Chen, Hong Zhao, Jun Shen, Rui Zhou, Qingguo Zhou
Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection. BigData Congress (2015)
Rui Zhou, Xiaolong Chen, Huaming Chen, Fenglong Yan, Chunlin Chen, Qi Yu, Qingguo Zhou, Kuan-Ching Li
RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication. J. Signal Process. Syst. 80 (3) (2015)
Qingguo Zhou, Jason C. Hung, Jun Hu, Huaming Chen, Rui Zhou, Ji Qi, Lei Yang, Xuan Wang
Cloud Services Aided e-Tourism: In the Case of Low-Cost Airlines for Backpacking. FCC (2014)
Jason C. Hung, Rui Zhou, Jun Hu, Huaming Chen, Qingguo Zhou, Ji Qi, Lei Yang
Cloud Services Aided E-Tourism: In the Case of Low-Cost Airlines for Backpacking. ICPADS (2013)
Huaming Chen, Yong Sheng, Rui Zhou, Qingguo Zhou, Shouqing Sun, Jason C. Hung
The communication model between humanoid robot and mobile phone. iCAST/UMEDIA (2013)
Rui Zhou, Huaming Chen, Qun Liu, Yong Sheng, Qingguo Zhou, Xuan Wang, Kuan-Ching Li
A Server Model for Reliable Communication on Cell/B.E. ICPP (2013)