Huaming Chen

154 papers A* 13A 13B 4C 4Misc 2Journal 83Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Are LLMs Reliable Code Reviewers? Systematic Overcorrection in Requirement Conformance Judgement.
CoRR
Haolin Jin, Huaming Chen
2026 J jnl
Deep Learning Representations of Programs: A Systematic Literature Review.
ACM Comput. Surv.
Deepika Shanmugasundaram, Pallavi Arivukkarasu, Huaming Chen, Haipeng Cai
2026 J jnl
From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation.
Int. J. Comput. Vis.
Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2026 A* conf
K&L: Penetrating Backdoor Defense with Key and Locks.
WWW
Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen
2026 J jnl
Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading.
CoRR
Haoran Li, Yuxin Lin, Huan Wang, Xiaoling Luo, Qi Zhu, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Zongyan Xue, Jun Shen, Yong Xu
2026 A* conf
Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating.
AAAI
Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen
2026 J jnl
Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges.
CoRR
Xinyu Huang, Shyam Karthick V. B, Taozhao Chen, Mitch Bryson, Thomas Chaffey, Huaming Chen, Kim-Kwang Raymond Choo, Ian R. Manchester
2026 A* conf
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals.
WWW
Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen
2026 J jnl
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals.
CoRR
Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen
2025 J jnl
'Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs.
CoRR
Chun Wai Chiu, Linghan Huang, Bo Li, Huaming Chen
2025 J jnl
A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting.
Int. J. Circuit Theory Appl.
Yin Chen, Haibin Li, Huaming Chen, Tao Jin
2025 — conf
Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection.
WWW (Companion Volume)
Yitian Yang, Huaming Chen
2025 — conf
CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection.
PAKDD (2)
Zikang Wen, Nan Yang, Yuning Zhang, Yanli Li, Zihao Yao, Huaming Chen, Dong Yuan
2025 A* conf
DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations.
ICDM
Qingwen Zeng, Lining Chen, Jushang Qiu, Fangchen Liu, Huaming Chen, Ling Chen
2025 J jnl
Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future.
CoRR
Qingwen Zeng, Hanlin Xu, Nanjun Xu, Flora D. Salim, Junbin Gao, Huaming Chen
2025 J jnl
FairCompass: Operationalizing Fairness in Machine Learning.
IEEE Trans. Artif. Intell.
Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo
2025 J jnl
Feature-Selective Representation Misdirection for Machine Unlearning.
CoRR
Taozhao Chen, Linghan Huang, Kim-Kwang Raymond Choo, Huaming Chen
2025 J jnl
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 — conf
FedSC: Federated Learning with Semantic-Aware Collaboration.
KDD (2)
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 J jnl
FedSC: Federated Learning with Semantic-Aware Collaboration.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 A conf
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration.
ICWS
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen
2025 J jnl
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen
2025 A conf
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection.
ICWS
Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen
2025 J jnl
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection.
CoRR
Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen
2025 J jnl
GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks.
CoRR
Yanli Li, Yanan Zhou, Zhongliang Guo, Nan Yang, Yuning Zhang, Huaming Chen, Dong Yuan, Weiping Ding, Witold Pedrycz
2025 J jnl
Human-aligned AI Model Cards with Weighted Hierarchy Architecture.
CoRR
Pengyue Yang, Haolin Jin, Qingwen Zeng, Jiawen Wen, Harry Rao, Huaming Chen
2025 A conf
Improving Adversarial Transferability via Decision Boundary Adaptation.
UAI
Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo
2025 C conf
LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models.
APSEC
Linghan Huang, Peizhou Zhao, Huaming Chen
2025 J jnl
LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models.
CoRR
Linghan Huang, Peizhou Zhao, Huaming Chen
2025 J jnl
Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models.
IEEE Trans. Software Eng.
Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, Lei Ma
2025 A conf
M-
CIKM
Lining Chen, Qingwen Zeng, Huaming Chen
2025 J jnl
M-LLM
CoRR
Lining Chen, Qingwen Zeng, Huaming Chen
2025 J jnl
MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.
Knowl. Based Syst.
Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2025 J jnl
NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs.
CoRR
Zhaoge Bi, Linghan Huang, Haolin Jin, Qingwen Zeng, Huaming Chen
2025 J jnl
On Security Weaknesses and Vulnerabilities in Deep Learning Systems.
IEEE Trans. Dependable Secur. Comput.
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2025 — conf
On the Challenges of Fuzzing Techniques via Large Language Models.
SSE
Linghan Huang, Peizhou Zhao, Lei Ma, Huaming Chen
2025 J jnl
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN.
CoRR
Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora D. Salim, Huaming Chen
2025 — conf
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN.
ECML/PKDD (7)
Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen
2025 A conf
Rethinking Lipschitzness Data-free Backdoor Defense.
CIKM
Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim
2025 J jnl
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution.
IEEE Trans. Artif. Intell.
Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo
2025 — conf
SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention.
PAKDD (4)
Qingwen Zeng, Nan Yang, Jushang Qiu, Junbin Gao, Huaming Chen
2025 A* conf
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution.
ICML
Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen
2025 J jnl
The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models.
CoRR
Linghan Huang, Haolin Jin, Zhaoge Bi, Pengyue Yang, Peizhou Zhao, Taozhao Chen, Xiongfei Wu, Lei Ma, Huaming Chen
2025 J jnl
Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges.
IEEE Trans. Neural Networks Learn. Syst.
Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding
2025 J jnl
Towards Advancing Code Generation with Large Language Models: A Research Roadmap.
CoRR
Haolin Jin, Huaming Chen, Qinghua Lu, Liming Zhu
2025 A* conf
Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications.
ASE
Haolin Jin, Huaming Chen
2025 J jnl
Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications.
CoRR
Haolin Jin, Huaming Chen
2025 A* conf
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling.
AAAI
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2025 C conf
What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code.
APSEC
Jiawen Wen, Bangshuo Zhu, Huaming Chen
2024 J jnl
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems.
CoRR
Zhiyu Zhu, Zhibo Jin, Hongsheng Hu, Minhui Xue, Ruoxi Sun, Seyit Camtepe, Praveen Gauravaram, Huaming Chen
2024 A* conf
AttEXplore: Attribution for Explanation with model parameters eXploration.
ICLR
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim
2024 J jnl
Attribution for Enhanced Explanation with Transferable Adversarial eXploration.
CoRR
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen
2024 J jnl
Benchmarking Transferable Adversarial Attacks.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen
2024 A* conf
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence.
ICDM
Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan
2024 J jnl
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence.
CoRR
Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan
2024 — conf
Code Ownership in Open-Source AI Software Security.
RAIE@ICSE
Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen
2024 J jnl
Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning.
Inf. Sci.
Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan
2024 J jnl
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks.
CoRR
Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen
2024 Misc conf
Enhanced Carbon Credits Price Prediction with Multiple Influencing Market Factors.
AusDM
Qingwen Zeng, Hanlin Xu, Nanjun Xu, Junbin Gao, Huaming Chen
2024 A* conf
Enhancing Model Interpretability with Local Attribution over Global Exploration.
ACM Multimedia
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 J jnl
Enhancing Model Interpretability with Local Attribution over Global Exploration.
CoRR
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 A* conf
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation.
ICLR
Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 — conf
FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells.
ISBI
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen
2024 J jnl
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells.
CoRR
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen
2024 J jnl
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness.
CoRR
Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu, Huaming Chen
2024 J jnl
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.
CoRR
Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen
2024 A conf
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
SDM
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
2024 J jnl
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
CoRR
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
2024 J jnl
GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction.
Briefings Bioinform.
Guoqiang Zhou, Yuke Qin, Qiansen Hong, Haoran Li, Huaming Chen, Jun Shen
2024 J jnl
Global disentangled graph convolutional neural network based on a graph topological metric.
Knowl. Based Syst.
Wenzhen Liu, Guoqiang Zhou, Xiaoyu Mao, Shudi Bao, Haoran Li, Jiahua Shi, Huaming Chen, Jun Shen, Yuanming Huang
2024 C conf
Holistic Evaluation Metrics for Federated Learning.
CSCWD
Jehad Ibrahim, Yanli Li, Huaming Chen, Dong Yuan
2024 J jnl
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning.
CoRR
Yanli Li, Jehad Ibrahim, Huaming Chen, Dong Yuan, Kim-Kwang Raymond Choo
2024 A conf
Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack.
CIKM
Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen
2024 — conf
Improving Carbon Price Prediction by Decomposing Single Influencing Factor with XGBoost.
CBD
Hanlin Xu, Qingwen Zeng, Huaming Chen
2024 A* conf
Iterative Search Attribution for Deep Neural Networks.
ICML
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen
2024 J jnl
Large Language Models Based Fuzzing Techniques: A Survey.
CoRR
Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma
2024 — conf
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
PRICAI (1)
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen
2024 J jnl
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen
2024 A* conf
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.
AAAI
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2024 J jnl
On Security Weaknesses and Vulnerabilities in Deep Learning Systems.
CoRR
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2024 — conf
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance.
ICA
Haolin Jin, Zechao Sun, Huaming Chen
2024 J jnl
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance.
CoRR
Haolin Jin, Zechao Sun, Huaming Chen
2024 — conf
SBFT Tool Competition 2024 - Fuzzing Track.
SBFT@ICSE
Philipp Görz, Joschua Schilling, Xi Wu, Huaming Chen, Rahul Gopinath
2024 J jnl
Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges.
ACM Comput. Surv.
Huaming Chen, Muhammad Ali Babar
2024 J jnl
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges.
CoRR
Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding
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
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling.
CoRR
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2024 J jnl
What You See Is Not Always What You Get: An Empirical Study of Code Comprehension by Large Language Models.
CoRR
Bangshuo Zhu, Jiawen Wen, Huaming Chen
2023 J jnl
A Survey on Data-driven Software Vulnerability Assessment and Prioritization.
ACM Comput. Surv.
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
2023 J jnl
Code Ownership in Open-Source AI Software Security.
CoRR
Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen
2023 — conf
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution.
ADMA (2)
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
2023 J jnl
DANAA: Towards transferable attacks with double adversarial neuron attribution.
CoRR
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
2023 J jnl
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
IEEE Trans. Comput. Soc. Syst.
Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue
2023 A conf
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.
CIKM
Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
2023 J jnl
FairCompass: Operationalising Fairness in Machine Learning.
CoRR
Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo
2023 — conf
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads.
AI (1)
Yu Zhang, Huaming Chen, Zhongzheng Lai, Zao Zhang, Dong Yuan
2023 J jnl
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads.
CoRR
Yu Zhang, Huaming Chen, Wei Bao, Zhongzheng Lai, Zao Zhang, Dong Yuan
2023 J jnl
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios.
CoRR
Yanli Li, Huaming Chen, Wei Bao, Zhengmeng Xu, Dong Yuan
2023 — conf
ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning.
ACSW
Yanli Li, Laicheng Zhong, Dong Yuan, Huaming Chen, Wei Bao
2023 A conf
Improving Adversarial Transferability via Frequency-based Stationary Point Search.
CIKM
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
2023 J jnl
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.
CoRR
Yuheng Huang, Jiayang Song, Zhijie Wang, Huaming Chen, Lei Ma
2023 J jnl
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks.
CoRR
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2023 A conf
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.
AsiaCCS
Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen
2023 — conf
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact.
SSE
Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen
2023 — conf
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.
ECML/PKDD (1)
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen
2023 — conf
WirelessDT: A Digital Twin Platform for Real- Time Evaluation of Wireless Software Applications.
ICSE Companion
Zhongzheng Lai, Dong Yuan, Huaming Chen, Yu Zhang, Wei Bao
2022 A conf
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks.
MSR
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
2022 J jnl
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks.
CoRR
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
2022 A conf
Noisy Label Learning for Security Defects.
MSR
Roland Croft, Muhammad Ali Babar, Huaming Chen
2022 J jnl
Noisy Label Learning for Security Defects.
CoRR
Roland Croft, Muhammad Ali Babar, Huaming Chen
2022 J jnl
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges.
CoRR
Huaming Chen, Muhammad Ali Babar
2021 J jnl
A Survey on Data-driven Software Vulnerability Assessment and Prioritization.
CoRR
Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar
2021 J jnl
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform.
Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen
2020 — conf
A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies.
SCC
Huaming Chen, Fucun Li, Geng Sun, Xuyun Zhang, Xianjun Dong, Lei Wang, Kewen Liao, Haifeng Shen, Jun Shen
2020 J jnl
A framework towards data analytics on host-pathogen protein-protein interactions.
J. Ambient Intell. Humaniz. Comput.
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
2020 J jnl
A novel Monte Carlo-based neural network model for electricity load forecasting.
Int. J. Embed. Syst.
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou
2020 J jnl
APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data.
Concurr. Comput. Pract. Exp.
Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
2020 J jnl
An intelligent blockchain-based system for safe vaccine supply and supervision.
Int. J. Inf. Manag.
Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
2020 B conf
Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning.
ITS
Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen
2020 B conf
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction.
IJCNN
Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen
2020 J jnl
Mechanical properties of the grooved-wheel drilling particles under multivariate interaction influenced based on 3D printing and EDEM simulation.
Comput. Electron. Agric.
Jianfeng Sun, Huaming Chen, Jieli Duan, Zhu Liu, Qingchuang Zhu
2020 — conf
Saec: similarity-aware embedding compression in recommendation systems.
APSys
Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang
2020 Misc conf
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions.
PACBB
Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin
2020 — conf
Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks.
IEEE BigData
Fucun Li, Ailing Yang, Huaming Chen, Geng Sun, Fang Wang, Yunzhou Xie, Jiaqi Li, Jun Shen
2019 — conf
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions.
IEEE BigData
Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen
2019 — conf
Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions.
CBD
Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen
2019 J jnl
Saec: Similarity-Aware Embedding Compression in Recommendation Systems.
CoRR
Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang
2018 J jnl
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network.
CoRR
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
2018 J jnl
Effective long-term travel time prediction with fuzzy rules for tollway.
Neural Comput. Appl.
Ruimin Li, Geoffrey Rose, Huaming Chen, Jun Shen
2018 — conf
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control.
IEEE BigData
Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen
2018 J jnl
GVM based intuitive simulation web application for collision detection.
Neurocomputing
Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou
2018 J jnl
Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks.
J. Sens. Actuator Networks
Qingguo Zhou, Chong Chen, Gaofeng Zhang, Huaming Chen, Dan Chen, Yingnan Yan, Jun Shen, Rui Zhou
2018 J jnl
Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey.
IEEE Access
Huaming Chen, William W. Guo, Jun Shen, Lei Wang, Jiangning Song
2018 — conf
Towards Biological Sequence Data Service with Insights.
IEEE BigData
Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
2017 J jnl
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.
Jian Li, Junwei Nie, Huaming Chen, Guangfu Sun, Feixue Wang
2017 J jnl
Adaptive Time Taps of STAP Under Channel Mismatch for GNSS Antenna Arrays.
IEEE Trans. Instrum. Meas.
Zukun Lu, Junwei Nie, Feiqiang Chen, Huaming Chen, Gang Ou
2017 — conf
Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution.
SCC
Geng Sun, Tingru Cui, Dongming Xu, Huaming Chen, Shiping Chen, Jun Shen
2017 C conf
Collaborative data analytics towards prediction on pathogen-host protein-protein interactions.
CSCWD
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
2017 J jnl
Intelligent monitor system based on cloud and convolutional neural networks.
J. Supercomput.
Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou
2017 — conf
Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions.
BigData Congress
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
2017 — conf
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland.
ACSW
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou
2017 J jnl
Parallel GPU-based collision detection of irregular vessel wall for massive particles.
Clust. Comput.
Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou
2017 — conf
Quantitative Measurement of Respiratory Split in the Second Heart Sound.
CinC
Hong Tang, Huaming Chen, Ting Li
2017 — conf
Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey.
BigData Congress
Huaming Chen, Jiangning Song, Geng Sun, Jun Shen, Lei Wang
2016 J jnl
A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction.
EAI Endorsed Trans. Scalable Inf. Syst.
Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen
2016 J jnl
An Evaluation of the Dynamics of Diluted Neural Network.
Int. J. Comput. Intell. Syst.
Lijuan Wang, Jun Shen, Qingguo Zhou, Zhihao Shang, Huaming Chen, Hong Zhao
2016 — conf
Classification of Normal/Abnormal Heart Sound Recordings based on Multi-Domain Features and Back Propagation Neural Network.
CinC
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
2016 — conf
Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey.
BigData Congress
Huaming Chen, Jun Shen, Lei Wang, Jiangning Song
2015 J jnl
RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication.
J. Signal Process. Syst.
Rui Zhou, Xiaolong Chen, Huaming Chen, Fenglong Yan, Chunlin Chen, Qi Yu, Qingguo Zhou, Kuan-Ching Li
2015 — conf
Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection.
BigData Congress
Huaming Chen, Hong Zhao, Jun Shen, Rui Zhou, Qingguo Zhou
2014 — conf
Cloud Services Aided e-Tourism: In the Case of Low-Cost Airlines for Backpacking.
FCC
Qingguo Zhou, Jason C. Hung, Jun Hu, Huaming Chen, Rui Zhou, Ji Qi, Lei Yang, Xuan Wang
2013 B conf
A Server Model for Reliable Communication on Cell/B.E.
ICPP
Rui Zhou, Huaming Chen, Qun Liu, Yong Sheng, Qingguo Zhou, Xuan Wang, Kuan-Ching Li
2013 B conf
Cloud Services Aided E-Tourism: In the Case of Low-Cost Airlines for Backpacking.
ICPADS
Jason C. Hung, Rui Zhou, Jun Hu, Huaming Chen, Qingguo Zhou, Ji Qi, Lei Yang
2013 — conf
The communication model between humanoid robot and mobile phone.
iCAST/UMEDIA
Huaming Chen, Yong Sheng, Rui Zhou, Qingguo Zhou, Shouqing Sun, Jason C. Hung