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2020 – today
- 2026
[j31]Deepika Shanmugasundaram
, Pallavi Arivukkarasu, Huaming Chen, Haipeng Cai:
Deep Learning Representations of Programs: A Systematic Literature Review. ACM Comput. Surv. 58(5): 127:1-127:37 (2026)- [c71]Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen:
Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating. AAAI 2026: 9838-9846 - [c70]Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen:
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals. WWW 2026: 9090-9100 - [c69]Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen:
K&L: Penetrating Backdoor Defense with Key and Locks. WWW 2026: 9506-9516 - [i51]Xinyu Huang, Shyam Karthick V. B, Taozhao Chen, Mitch Bryson, Thomas Chaffey, Huaming Chen, Kim-Kwang Raymond Choo, Ian R. Manchester:
Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges. CoRR abs/2601.02377 (2026) - [i50]Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen:
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals. CoRR abs/2602.00977 (2026) - [i49]Haoran Li, Yuxin Lin, Huan Wang, Xiaoling Luo, Qi Zhu, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Zongyan Xue, Jun Shen, Yong Xu:
Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading. CoRR abs/2602.21944 (2026) - [i48]Haolin Jin, Huaming Chen:
Are LLMs Reliable Code Reviewers? Systematic Overcorrection in Requirement Conformance Judgement. CoRR abs/2603.00539 (2026) - 2025
- [j30]Yin Chen, Haibin Li, Huaming Chen, Tao Jin:
A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting. Int. J. Circuit Theory Appl. 53(5): 2496-2520 (2025) - [j29]Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu:
MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation. Knowl. Based Syst. 331: 114810 (2025) - [j28]Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalizing Fairness in Machine Learning. IEEE Trans. Artif. Intell. 6(2): 281-291 (2025) - [j27]Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo:
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution. IEEE Trans. Artif. Intell. 6(2): 354-364 (2025) - [j26]Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan:
On Security Weaknesses and Vulnerabilities in Deep Learning Systems. IEEE Trans. Dependable Secur. Comput. 22(3): 2243-2257 (2025) - [j25]Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding:
Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges. IEEE Trans. Neural Networks Learn. Syst. 36(9): 15643-15663 (2025) - [j24]Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, Lei Ma:
Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models. IEEE Trans. Software Eng. 51(2): 413-429 (2025) - [c68]Linghan Huang, Peizhou Zhao, Lei Ma, Huaming Chen:
On the Challenges of Fuzzing Techniques via Large Language Models. SSE 2025: 162-171 - [c67]Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. AAAI 2025: 406-414 - [c66]Jiawen Wen, Bangshuo Zhu, Huaming Chen:
What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code. APSEC 2025: 383-394 - [c65]Linghan Huang, Peizhou Zhao, Huaming Chen:
LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models. APSEC 2025: 551-562 - [c64]Lining Chen, Qingwen Zeng, Huaming Chen:
M-LLM3REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs. CIKM 2025: 291-300 - [c63]Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim:
Rethinking Lipschitzness Data-free Backdoor Defense. CIKM 2025: 3113-3122 - [c62]Qingwen Zeng, Lining Chen, Jushang Qiu, Fangchen Liu, Huaming Chen, Ling Chen:
DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations. ICDM 2025: 1692-1701 - [c61]Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen:
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution. ICML 2025 - [c60]Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen:
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection. ICWS 2025: 286-292 - [c59]Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen:
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration. ICWS 2025: 702-712 - [c58]Haolin Jin, Huaming Chen:
Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications. ASE 2025: 3819-3823 - [c57]Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen:
FedSC: Federated Learning with Semantic-Aware Collaboration. KDD (2) 2025: 2938-2949 - [c56]Zikang Wen, Nan Yang, Yuning Zhang, Yanli Li, Zihao Yao, Huaming Chen, Dong Yuan:
CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection. PAKDD (2) 2025: 146-158 - [c55]Qingwen Zeng, Nan Yang, Jushang Qiu, Junbin Gao, Huaming Chen:
SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention. PAKDD (4) 2025: 257-268 - [c54]Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen:
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN. ECML/PKDD (7) 2025: 164-180 - [c53]Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo:
Improving Adversarial Transferability via Decision Boundary Adaptation. UAI 2025: 4943-4958 - [c52]Yitian Yang, Huaming Chen:
Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection. WWW (Companion Volume) 2025: 1480-1484 - [i47]Haolin Jin, Huaming Chen, Qinghua Lu, Liming Zhu:
Towards Advancing Code Generation with Large Language Models: A Research Roadmap. CoRR abs/2501.11354 (2025) - [i46]Qingwen Zeng, Hanlin Xu, Nanjun Xu, Flora D. Salim, Junbin Gao, Huaming Chen:
Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future. CoRR abs/2501.14750 (2025) - [i45]Chun Wai Chiu, Linghan Huang, Bo Li, Huaming Chen:
'Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs. CoRR abs/2502.00735 (2025) - [i44]Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora D. Salim, Huaming Chen:
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN. CoRR abs/2502.12207 (2025) - [i43]Linghan Huang, Haolin Jin, Zhaoge Bi, Pengyue Yang, Peizhou Zhao, Taozhao Chen, Xiongfei Wu, Lei Ma, Huaming Chen:
The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models. CoRR abs/2505.12287 (2025) - [i42]Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen:
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration. CoRR abs/2505.18981 (2025) - [i41]Zhaoge Bi, Linghan Huang, Haolin Jin, Qingwen Zeng, Huaming Chen:
NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs. CoRR abs/2506.11050 (2025) - [i40]Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen:
FedSC: Federated Learning with Semantic-Aware Collaboration. CoRR abs/2506.21012 (2025) - [i39]Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen:
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning. CoRR abs/2507.06482 (2025) - [i38]Haolin Jin, Huaming Chen:
Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications. CoRR abs/2508.12358 (2025) - [i37]Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen:
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection. CoRR abs/2508.14699 (2025) - [i36]Lining Chen, Qingwen Zeng, Huaming Chen:
M-LLM3REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs. CoRR abs/2508.15262 (2025) - [i35]Pengyue Yang, Haolin Jin, Qingwen Zeng, Jiawen Wen, Harry Rao, Huaming Chen:
Human-aligned AI Model Cards with Weighted Hierarchy Architecture. CoRR abs/2510.06989 (2025) - [i34]Linghan Huang, Peizhou Zhao, Huaming Chen:
LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models. CoRR abs/2510.10179 (2025) - [i33]Yanli Li, Yanan Zhou, Zhongliang Guo, Nan Yang, Yuning Zhang, Huaming Chen, Dong Yuan, Weiping Ding, Witold Pedrycz:
GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks. CoRR abs/2511.09294 (2025) - [i32]Taozhao Chen, Linghan Huang, Kim-Kwang Raymond Choo, Huaming Chen:
Feature-Selective Representation Misdirection for Machine Unlearning. CoRR abs/2512.16297 (2025) - 2024
- [j23]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) - [j22]Huaming Chen, Muhammad Ali Babar:
Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges. ACM Comput. Surv. 56(6): 151:1-151:38 (2024) - [j21]Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan:
Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. Inf. Sci. 667: 120475 (2024) - [j20]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: 111283 (2024) - [c51]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: 17228-17236 - [c50]Qingwen Zeng, Hanlin Xu, Nanjun Xu, Junbin Gao, Huaming Chen:
Enhanced Carbon Credits Price Prediction with Multiple Influencing Market Factors. AusDM 2024: 32-47 - [c49]Hanlin Xu, Qingwen Zeng, Huaming Chen:
Improving Carbon Price Prediction by Decomposing Single Influencing Factor with XGBoost. CBD 2024: 308-313 - [c48]Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen:
Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack. CIKM 2024: 2410-2419 - [c47]Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo:
Trustworthy and Responsible AI for Information and Knowledge Management System. CIKM 2024: 5574-5576 - [c46]Jehad Ibrahim, Yanli Li, Huaming Chen, Dong Yuan:
Holistic Evaluation Metrics for Federated Learning. CSCWD 2024: 2282-2287 - [c45]Haolin Jin, Zechao Sun, Huaming Chen:
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance. ICA 2024: 136-141 - [c44]Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan:
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. ICDM 2024: 959-964 - [c43]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 - [c42]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 - [c41]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024: 62332-62348 - [c40]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. ISBI 2024: 1-5 - [c39]Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen:
Enhancing Model Interpretability with Local Attribution over Global Exploration. ACM Multimedia 2024: 5347-5355 - [c38]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen:
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. PRICAI (1) 2024: 93-105 - [c37]Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen:
Code Ownership in Open-Source AI Software Security. RAIE@ICSE 2024: 28-35 - [c36]Philipp Görz, Joschua Schilling, Xi Wu, Huaming Chen, Rahul Gopinath:
SBFT Tool Competition 2024 - Fuzzing Track. SBFT@ICSE 2024: 25-28 - [c35]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: 706-714 - [i31]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. CoRR abs/2401.06031 (2024) - [i30]Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma:
Large Language Models Based Fuzzing Techniques: A Survey. CoRR abs/2402.00350 (2024) - [i29]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen:
Benchmarking Transferable Adversarial Attacks. CoRR abs/2402.00418 (2024) - [i28]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 abs/2402.02724 (2024) - [i27]Yanli Li, Jehad Ibrahim, Huaming Chen, Dong Yuan, Kim-Kwang Raymond Choo:
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning. CoRR abs/2405.02360 (2024) - [i26]Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen:
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks. CoRR abs/2406.07580 (2024) - [i25]Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan:
On Security Weaknesses and Vulnerabilities in Deep Learning Systems. CoRR abs/2406.08688 (2024) - [i24]Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR abs/2406.18610 (2024) - [i23]Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu, Huaming Chen:
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness. CoRR abs/2407.01595 (2024) - [i22]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 abs/2407.06754 (2024) - [i21]Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen:
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future. CoRR abs/2408.02479 (2024) - [i20]Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen:
Enhancing Model Interpretability with Local Attribution over Global Exploration. CoRR abs/2408.07736 (2024) - [i19]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen:
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. CoRR abs/2408.12670 (2024) - [i18]Haolin Jin, Zechao Sun, Huaming Chen:
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance. CoRR abs/2410.01242 (2024) - [i17]Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan:
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. CoRR abs/2410.14741 (2024) - [i16]Zhiyu Zhu, Zhibo Jin, Hongsheng Hu, Minhui Xue, Ruoxi Sun, Seyit Camtepe, Praveen Gauravaram, Huaming Chen:
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems. CoRR abs/2411.06146 (2024) - [i15]Bangshuo Zhu, Jiawen Wen, Huaming Chen:
What You See Is Not Always What You Get: An Empirical Study of Code Comprehension by Large Language Models. CoRR abs/2412.08098 (2024) - [i14]Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen:
Attribution for Enhanced Explanation with Transferable Adversarial eXploration. CoRR abs/2412.19523 (2024) - 2023
- [j19]Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar:
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Comput. Surv. 55(5): 100:1-100:39 (2023) - [j18]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): 2985-2999 (2023) - [c34]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: 1-10 - [c33]Yanli Li, Laicheng Zhong, Dong Yuan, Huaming Chen, Wei Bao:
ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning. ACSW 2023: 135-142 - [c32]Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. ADMA (2) 2023: 456-470 - [c31]Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen:
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. AsiaCCS 2023: 1031-1033 - [c30]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: 79-90 - [c29]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: 3626-3635 - [c28]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: 3657-3666 - [c27]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: 146-150 - [c26]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: 147-163 - [i13]Yu Zhang, Huaming Chen, Wei Bao, Zhongzheng Lai, Zao Zhang, Dong Yuan:
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. CoRR abs/2304.07705 (2023) - [i12]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 abs/2307.10236 (2023) - [i11]Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards transferable attacks with double adversarial neuron attribution. CoRR abs/2310.10427 (2023) - [i10]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 abs/2311.05826 (2023) - [i9]Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen:
Code Ownership in Open-Source AI Software Security. CoRR abs/2312.10861 (2023) - [i8]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 abs/2312.13630 (2023) - [i7]Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalising Fairness in Machine Learning. CoRR abs/2312.16726 (2023) - 2022
- [c25]Roland Croft, Muhammad Ali Babar, Huaming Chen:
Noisy Label Learning for Security Defects. MSR 2022: 435-447 - [c24]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. MSR 2022: 596-607 - [i6]Huaming Chen, Muhammad Ali Babar:
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges. CoRR abs/2201.04736 (2022) - [i5]Roland Croft, Muhammad Ali Babar, Huaming Chen:
Noisy Label Learning for Security Defects. CoRR abs/2203.04468 (2022) - [i4]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. CoRR abs/2203.05181 (2022) - 2021
- [j17]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) - [i3]Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar:
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. CoRR abs/2107.08364 (2021) - 2020
- [j16]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: 105329 (2020) - [j15]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) - [j14]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): 522-533 (2020) - [j13]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: 102024 (2020) - [j12]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): 4667-4679 (2020) - [c23]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: 463-465 - [c22]Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang:
Saec: similarity-aware embedding compression in recommendation systems. APSys 2020: 82-89 - [c21]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: 4627-4635 - [c20]Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN 2020: 1-8 - [c19]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: 432-440 - [c18]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: 91-101
2010 – 2019
- 2019
- [c17]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: 2197-2204 - [c16]Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen:
Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions. CBD 2019: 133-138 - [i2]Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang:
Saec: Similarity-Aware Embedding Compression in Recommendation Systems. CoRR abs/1903.00103 (2019) - 2018
- [j11]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: 11760-11771 (2018) - [j10]Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou:
GVM based intuitive simulation web application for collision detection. Neurocomputing 279: 63-73 (2018) - [j9]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): 4 (2018) - [j8]Ruimin Li, Geoffrey Rose, Huaming Chen, Jun Shen:
Effective long-term travel time prediction with fuzzy rules for tollway. Neural Comput. Appl. 30(9): 2921-2933 (2018) - [c15]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: 2245-2252 - [c14]Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi:
Towards Biological Sequence Data Service with Insights. IEEE BigData 2018: 2847-2854 - [i1]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 abs/1810.09253 (2018) - 2017
- [j7]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): 2591-2603 (2017) - [j6]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. 100-B(6): 1003-1009 (2017) - [j5]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): 2813-2824 (2017) - [j4]Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou:
Intelligent monitor system based on cloud and convolutional neural networks. J. Supercomput. 73(7): 3260-3276 (2017) - [c13]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: 196-203 - [c12]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: 47:1-47:7 - [c11]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: 177-184 - [c10]Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. BigData Congress 2017: 368-375 - [c9]Hong Tang, Huaming Chen, Ting Li:
Quantitative Measurement of Respiratory Split in the Second Heart Sound. CinC 2017 - [c8]Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. CSCWD 2017: 269-274 - 2016
- [j3]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): 1191-1199 (2016) - [j2]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): e5 (2016) - [c7]Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. BigData Congress 2016: 377-388 - [c6]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 - 2015
- [j1]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): 323-337 (2015) - [c5]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: 134-141 - 2014
- [c4]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: 321-327 - 2013
- [c3]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: 697-701 - [c2]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: 468-473 - [c1]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: 1020-1027
Coauthor Index
[c71] [i49] [j29] [j28] [c67] [c59] [c57] [i42] [i40] [i39] [j23] [j20] [c41] [c40] [c35] [i31] [i28] [i24] [c34] [c32] [c29] [c28] [c26] [i11] [i7] [j17] [j15] [j14] [j13] [j12] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [j11] [j10] [j9] [j8] [c15] [c14] [j7] [c13] [c12] [c11] [c10] [c8] [j3] [j2] [c7] [c5]
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