Wei Luo - RankMe

100 papers A* 11A 2B 12C 4Misc 2Journal 44Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Survey on Neural Ordinary Differential Equations. PAKDD (4) Bochao Zhang, Manzur Murshed, Zhi Cheng, Wei Luo
2025	J	`jnl`	A survey of coverage-guided greybox fuzzing with deep neural models. Inf. Softw. Technol. Junyang Qiu, Yupeng Jiang, Yuantian Miao, Wei Luo, Lei Pan, Xi Zheng
2025	—	`conf`	Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks. PAKDD (4) Xiaoxing Mo, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao, Yong Xiang
2025	J	`jnl`	FLARE: Toward Universal Dataset Purification Against Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li
2025	J	`jnl`	FixGuard: Repairing Backdoored Models via Class-Wise Trigger Recovery and Unlearning. IEEE Signal Process. Lett. Linshan Hou, Zhongyun Hua, Wei Luo, Leo Yu Zhang
2025	—	`conf`	Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty. KSEM (2) Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova
2025	A*	`conf`	Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset. SP Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025	J	`jnl`	Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets. CoRR Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025	A*	`conf`	TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening. ICDM Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo
2025	J	`jnl`	TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening. CoRR Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo
2025	J	`jnl`	TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks. CoRR Xiaoxing Mo, Yuxuan Cheng, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao
2025	J	`jnl`	Taxonomy-guided routing in capsule network for hierarchical image classification. Knowl. Based Syst. Khondaker Tasrif Noor, Wei Luo, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek
2025	A	`conf`	When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. AsiaCCS Ruining Sun, Hongsheng Hu, Wei Luo, Zhaoxi Zhang, Yanjun Zhang, Haizhuan Yuan, Leo Yu Zhang
2025	J	`jnl`	When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. CoRR Ruining Sun, Hongsheng Hu, Wei Luo, Zhaoxi Zhang, Yanjun Zhang, Haizhuan Yuan, Leo Yu Zhang
2024	J	`jnl`	A consistency-aware deep capsule network for hierarchical multi-label image classification. Neurocomputing Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek, Wei Luo
2024	—	`conf`	Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. LREC/COLING Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia
2024	J	`jnl`	Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. IEEE Trans. Neural Networks Learn. Syst. Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak
2024	J	`jnl`	Effective Individual Fairest Community Search over Heterogeneous Information Networks. CoRR Taige Zhao, Jianxin Li, Ningning Cui, Wei Luo
2024	J	`jnl`	FLARE: Towards Universal Dataset Purification against Backdoor Attacks. CoRR Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li
2024	—	`conf`	Gold Price Forecasting in Uncertain Times: Integrating Sentiment Analysis and External Indices. ISCMI Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova
2024	A*	`conf`	IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. ICML Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
2024	J	`jnl`	IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. CoRR Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
2024	—	`conf`	ICPR 2024 Competition on Multi-line Mathematical Expressions Recognition. ICPR (34) Tianrui Zong, Lin Yang, Wei Luo, Wenhao Yu, Borui Cai, He Zhang, Fenghong Liu, Qinqin Yan, Liangcai Gao
2024	A*	`conf`	Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. SP Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2024	J	`jnl`	Robust visual question answering via semantic cross modal augmentation. Comput. Vis. Image Underst. Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
2023	—	`conf`	A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. ADMA (2) Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
2023	B	`conf`	Backdoor Attack on Deep Neural Networks in Perception Domain. IJCNN Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao
2023	B	`conf`	Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. IJCNN Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo
2023	—	`conf`	Bridging the Interpretability Gap in Coupled Neural Dynamical Models. ADMA (1) Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
2023	J	`jnl`	Cyber Code Intelligence for Android Malware Detection. IEEE Trans. Cybern. Junyang Qiu, Qing-Long Han, Wei Luo, Lei Pan, Surya Nepal, Jun Zhang, Yang Xiang
2023	A*	`conf`	Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
2023	J	`jnl`	Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? CoRR Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
2023	B	`conf`	Embracing the dropouts in single-cell RNA-seq dynamics modelling. IJCNN Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
2023	—	`conf`	Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. PAKDD (1) Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
2023	Misc	`conf`	Learning Stable Task-Level Manifold for Few-Shot Learning. DICTA Siyi Yu, Wei Luo, Gang Li, Bo Yang
2023	J	`jnl`	Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. CoRR Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2023	J	`jnl`	Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. Pattern Recognit. Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
2023	J	`jnl`	Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. Mach. Learn. Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
2023	Misc	`conf`	Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. DICTA Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
2023	B	`conf`	Tackling Model Mismatch with Mixup Regulated Test-Time Training. DSAA Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo
2022	J	`jnl`	A multiple feature fusion framework for video emotion recognition in the wild. Concurr. Comput. Pract. Exp. Najmeh Samadiani, Guangyan Huang, Wei Luo, Chi-Hung Chi, Yanfeng Shu, Rui Wang, Tuba Kocaturk
2022	B	`conf`	Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions. DSAA Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
2022	—	`conf`	Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble. HPCC/DSS/SmartCity/DependSys Jing Miao, Wei Luo, Nayyar Abbas Zaidi, Jinlong Wang
2021	J	`jnl`	A Survey of Android Malware Detection with Deep Neural Models. ACM Comput. Surv. Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yang Xiang
2021	J	`jnl`	Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz
2021	J	`jnl`	Distributed Optimization of Graph Convolutional Network using Subgraph Variance. CoRR Taige Zhao, Xiangyu Song, Jianxin Li, Wei Luo, Imran Razzak
2021	B	`conf`	Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. IJCNN Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang
2021	B	`conf`	Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. IJCNN Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler
2021	B	`conf`	Robust Neural Regression via Uncertainty Learning. IJCNN Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
2021	J	`jnl`	Robust Neural Regression via Uncertainty Learning. CoRR Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
2021	J	`jnl`	Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. IEEE Trans. Dependable Secur. Comput. Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang
2021	—	`conf`	Ultra-short term wholesale electricity price forecasting through deep learning. ISGT Asia Ana Alvarez, Wei Luo, Simon Fryer
2020	B	`conf`	Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. IJCNN Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li
2020	J	`jnl`	Gathering Intelligence on Student Information Behavior Using Data Mining. Libr. Trends Lei Pan, Nicholas Charles Patterson, Sophie McKenzie, Surtharshan Rajasegarar, Guy Wood-Bradley, Justin T. Rough, Wei Luo, Elicia Lanham, Jo Coldwell-Neilson
2020	J	`jnl`	MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Trans. Comput. Soc. Syst. Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
2020	J	`jnl`	MODEL: Motif-based Deep Feature Learning for Link Prediction. CoRR Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
2020	J	`jnl`	Machine Learning for Financial Risk Management: A Survey. IEEE Access Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
2020	J	`jnl`	Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz
2019	C	`conf`	A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier. ICDS Najmeh Samadiani, Guangyan Huang, Wei Luo, Yanfeng Shu, Rui Wang, Tuba Kocaturk
2019	J	`jnl`	A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data. Sensors Najmeh Samadiani, Guangyan Huang, Borui Cai, Wei Luo, Chi-Hung Chi, Yong Xiang, Jing He
2019	J	`jnl`	A3CM: Automatic Capability Annotation for Android Malware. IEEE Access Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yu Wang, Yang Xiang
2019	—	`conf`	Data-Driven Android Malware Intelligence: A Survey. ML4CS Junyang Qiu, Surya Nepal, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
2019	—	`conf`	Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. KSEM (1) Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li
2019	—	`conf`	Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. PRICAI (3) Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li
2019	J	`jnl`	Modelling Match Outcome in Australian Football: Improved accuracy with large databases. Int. J. Comput. Sci. Sport Christopher Young, Wei Luo, Paul B. Gastin, Jacqueline Tran, Dan Dwyer
2019	J	`jnl`	Predicting the Impact of Android Malicious Samples via Machine Learning. IEEE Access Junyang Qiu, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
2019	A*	`conf`	Robust Anomaly Detection in Videos Using Multilevel Representations. AAAI Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2018	C	`conf`	Batch Normalized Deep Boltzmann Machines. ACML Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2018	J	`jnl`	Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. IEEE Trans. Ind. Informatics Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague
2018	J	`jnl`	Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
2018	C	`conf`	Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware. ADMA Junyang Qiu, Wei Luo, Surya Nepal, Jun Zhang, Yang Xiang, Lei Pan
2018	J	`jnl`	LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2018	A	`conf`	Learning Graph Representation via Frequent Subgraphs. SDM Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	—	`conf`	Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	—	`conf`	Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh
2017	A*	`conf`	POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects. CCS Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang
2016	J	`jnl`	Control Matching via Discharge Code Sequences. CoRR Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. MLHC Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh
2016	—	`conf`	Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. PAKDD (1) Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung
2015	B	`conf`	Robust Traffic Classification with Mislabelled Training Samples. ICPADS Binfeng Wang, Jun Zhang, Zili Zhang, Wei Luo, Dawen Xia
2015	J	`jnl`	Stabilized sparse ordinal regression for medical risk stratification. Knowl. Inf. Syst. Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh
2015	—	`conf`	Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	A framework for feature extraction from hospital medical data with applications in risk prediction. BMC Bioinform. Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh
2014	J	`jnl`	Detecting contaminated birthdates using generalized additive models. BMC Bioinform. Wei Luo, Marcus Gallagher, Bill Loveday, Susan Ballantyne, Jason P. Connor, Janet Wiles
2014	B	`conf`	Individualized arrhythmia detection with ECG signals from wearable devices. DSAA Nguyen Thanh Binh, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung
2014	B	`conf`	Unsupervised inference of significant locations from WiFi data for understanding human dynamics. MUM Nguyen Thanh Binh, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
2014	—	`conf`	iPoll: Automatic Polling Using Online Search. WISE (1) Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
2013	A*	`conf`	An integrated framework for suicide risk prediction. KDD Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh
2013	J	`jnl`	Parameter-Free Search of Time-Series Discord. J. Comput. Sci. Technol. Wei Luo, Marcus Gallagher, Janet Wiles
2011	—	`conf`	Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series. PAKDD (2) Wei Luo, Marcus Gallagher
2010	J	`jnl`	Mind change optimal learning of Bayes net structure from dependency and independency data. Inf. Comput. Oliver Schulte, Wei Luo, Russell Greiner
2010	—	`conf`	Unsupervised DRG Upcoding Detection in Healthcare Databases. ICDM Workshops Wei Luo, Marcus Gallagher
2009	C	`conf`	A new hybrid method for Bayesian network learning With dependency constraints. CIDM Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi
2007	A*	`conf`	Mind Change Optimal Learning of Bayes Net Structure. COLT Oliver Schulte, Wei Luo, Russell Greiner
2006	—	`conf`	Learning Bayesian Networks in Semi-deterministic Systems. Canadian AI Wei Luo
2006	J	`jnl`	Mind change efficient learning. Inf. Comput. Wei Luo, Oliver Schulte
2005	A*	`conf`	Compute Inclusion Depth of a Pattern. COLT Wei Luo
2005	A*	`conf`	Mind Change Efficient Learning. COLT Wei Luo, Oliver Schulte