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ORCIDMin Wu 0008
Person information
- affiliation: Institute for Infocomm Research (I²R), A*Star, Singapore
- affiliation (former): Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation (former): University of Science and Technology of China, Hefei, Anhui, China
Other persons with the same name
- Min Wu — disambiguation page
- Min Wu 0001
![[0000-0001-7672-9357]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7672-9357")
— University of Maryland, Department of Electrical and Computer Engineering, College Park, MD, USA (and 1 more) - Min Wu 0002 — China University of Geosciences, School of Automation, Wuhan, China (and 2 more)
- Min Wu 0003 — East China Normal University, Shanghai Key Lab of Trustworthy Computing, China (and 2 more)
- Min Wu 0004 — State University of New York at Albany, NY, USA
- Min Wu 0005 — Oracle, Redwood Shores, CA, USA (and 1 more)
- Min Wu 0006 — University of Wisconsin at Milwaukee, College of Health Sciences, Milwaukee, WI, USA
- Min Wu 0007 — MAKO Surgical Corp. (and 1 more)
- Min Wu 0009 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China
- Min Wu 0010 — Chinese Academy of Sciences, Institute of Acoustics, Beijing, China (and 1 more)
- Min Wu 0011 — University of Oxford, Department of Computer Science, UK
- Min Wu 0012 — Worcester Polytechnic Institute, Department of Mathematical Sciences, Worcester, MA, USA (and 1 more)
- Min Wu 0013 — Nanjing University of Posts and Telecommunications, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, College of Computer, China
2020 – today
- 2025
[j104]Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu:
Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers. Briefings Bioinform. 26(2) (2025)- [j103]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. Neural Networks 184: 107065 (2025) - [j102]Zhen Lan, Zixing Li, Chao Yan, Xiaojia Xiang, Dengqing Tang, Min Wu, Zhenghua Chen:
RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces. Neural Networks 185: 107133 (2025) - [j101]Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Xiang Li, Xianglan Chen, Xuehai Zhou:
Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors. IEEE Trans. Artif. Intell. 6(1): 221-233 (2025) - [j100]Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Yingxue Gao, Teng Wang, Xuehai Zhou:
Uncertainty-Aware Self-Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 35(5): 4464-4478 (2025) - [j99]Jin He, Fengmao Lv, Jun Liu, Min Wu, Badong Chen, Shiping Wang:
C2T-HR3D: Cross-Fusion of CNN and Transformer for High-Speed Railway Dropper Defect Detection. IEEE Trans. Instrum. Meas. 74: 1-16 (2025) - [j98]Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen:
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - [j97]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. ACM Trans. Knowl. Discov. Data 19(2): 49:1-49:21 (2025) - [j96]Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 36(1): 753-766 (2025) - [j95]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5837-5857 (2025) - [c57]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. ICLR 2025 - [c56]Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. KDD (1) 2025: 390-401 - [i77]Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. CoRR abs/2501.01472 (2025) - [i76]Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He:
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. CoRR abs/2501.02949 (2025) - [i75]Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou:
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective. CoRR abs/2501.04718 (2025) - [i74]Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun:
Time Series Domain Adaptation via Latent Invariant Causal Mechanism. CoRR abs/2502.16637 (2025) - [i73]Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu:
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers. CoRR abs/2503.06052 (2025) - [i72]Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao:
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. CoRR abs/2503.20394 (2025) - [i71]Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee:
UniFault: A Fault Diagnosis Foundation Model from Bearing Data. CoRR abs/2504.01373 (2025) - [i70]Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiao-Li Li, Daoqiang Zhang:
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. CoRR abs/2504.10900 (2025) - [i69]Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka:
Subset-Contrastive Multi-Omics Network Embedding. CoRR abs/2504.11321 (2025) - [i68]Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao:
Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. CoRR abs/2504.17355 (2025) - 2024
- [j94]Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool:
Global and Compact Video Context Embedding for Video Semantic Segmentation. IEEE Access 12: 135589-135600 (2024) - [j93]Yutong Li, Pedro Henrique da Costa Avelar, Xinyue Chen, Li Zhang, Min Wu, Sophia Tsoka:
CLigOpt: controllable ligand design through target-specific optimization. Bioinform. 40(Supplement_2): ii62-ii69 (2024) - [j92]Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu, Zhenghua Chen:
PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station. IEEE Internet Things J. 11(11): 20165-20177 (2024) - [j91]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2316-2332 (2024) - [j90]Guolei Sun, Yun Liu, Henghui Ding, Min Wu, Luc Van Gool:
Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6919-6934 (2024) - [j89]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10781-10796 (2024) - [j88]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Trans. Artif. Intell. 5(1): 321-333 (2024) - [j87]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5(3): 1185-1194 (2024) - [j86]Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 (2024) - [j85]Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen:
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. IEEE Trans. Artif. Intell. 5(9): 4813-4822 (2024) - [j84]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li:
Label-Efficient Time Series Representation Learning: A Review. IEEE Trans. Artif. Intell. 5(12): 6027-6042 (2024) - [j83]Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen:
Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection. IEEE Trans. Ind. Informatics 20(1): 513-523 (2024) - [j82]Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen:
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(2): 1093-1102 (2024) - [j81]Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen:
WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j80]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j79]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 28(10): 5917-5928 (2024) - [j78]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18(4): 76:1-76:22 (2024) - [j77]Shijia Liu, Zhenghua Chen, Min Wu, Chang Liu, Liangyin Chen:
WiSR: Wireless Domain Generalization Based on Style Randomization. IEEE Trans. Mob. Comput. 23(5): 4520-4532 (2024) - [j76]Shijia Liu, Zhenghua Chen, Min Wu, Hao Wang, Bin Xing, Liangyin Chen:
Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains. IEEE Trans. Mob. Comput. 23(5): 5083-5096 (2024) - [j75]Bing Li, Wei Cui, Le Zhang, Qi Yang, Min Wu, Joey Tianyi Zhou:
Democratizing Federated WiFi-Based Human Activity Recognition Using Hypothesis Transfer. IEEE Trans. Mob. Comput. 23(12): 15132-15148 (2024) - [j74]Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation. Trans. Mach. Learn. Res. 2024 (2024) - [j73]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1341-1351 (2024) - [j72]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14833-14847 (2024) - [c55]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. AAAI 2024: 15715-15724 - [c54]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph-Aware Contrasting for Multivariate Time-Series Classification. AAAI 2024: 15725-15734 - [c53]Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu, Sophia Tsoka:
Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability. BIBM 2024: 864-871 - [c52]Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao:
GeneSum: Large Language Model-based Gene Summary Extraction. BIBM 2024: 1438-1443 - [c51]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. ECCV (71) 2024: 269-287 - [c50]Stephan Goerttler, Fei He, Min Wu:
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval. EMBC 2024: 1-4 - [c49]Stephan Goerttler, Fei He, Min Wu:
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. EMBC 2024: 1-4 - [c48]Xiaohao Lin, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Han Wei Ng, Cuntai Guan:
Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification. EMBC 2024: 1-4 - [c47]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML 2024 - [c46]Lorenzo Orecchia, Jiawei Hu, Xue He, Wang Mark, Xulei Yang, Min Wu, Xue Geng:
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming. NeurIPS 2024 - [c45]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Reinforced Cross-Domain Knowledge Distillation on Time Series Data. NeurIPS 2024 - [i67]J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li:
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. CoRR abs/2402.09167 (2024) - [i66]J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li:
Self-evolving Autoencoder Embedded Q-Network. CoRR abs/2402.11604 (2024) - [i65]Stephan Goerttler, Fei He, Min Wu:
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. CoRR abs/2402.13523 (2024) - [i64]Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. CoRR abs/2403.03645 (2024) - [i63]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR abs/2404.08472 (2024) - [i62]Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu:
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. CoRR abs/2405.04336 (2024) - [i61]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i60]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR abs/2405.17493 (2024) - [i59]Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR abs/2406.02635 (2024) - [i58]Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao:
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR abs/2406.07404 (2024) - [i57]Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao:
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. CoRR abs/2406.07418 (2024) - [i56]Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen:
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 (2024) - [i55]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR abs/2407.02068 (2024) - [i54]Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. CoRR abs/2407.02098 (2024) - [i53]Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li:
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. CoRR abs/2407.17117 (2024) - [i52]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. CoRR abs/2409.19629 (2024) - [i51]Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. CoRR abs/2409.19635 (2024) - [i50]Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu:
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR abs/2410.09836 (2024) - [i49]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation. CoRR abs/2410.22489 (2024) - [i48]Xinhao Li, Yun Liu, Guolei Sun, Min Wu, Le Zhang, Ce Zhu:
Towards Open-Vocabulary Video Semantic Segmentation. CoRR abs/2412.09329 (2024) - [i47]Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao:
GeneSUM: Large Language Model-based Gene Summary Extraction. CoRR abs/2412.18154 (2024) - 2023
- [j71]Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi:
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinform. 39(8) (2023) - [j70]Ke Zhang, Min Wu, Yong Liu, Yimiao Feng, Jie Zheng:
KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. Bioinform. 39(Supplement-1): 158-167 (2023) - [j69]Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang:
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks. Comput. Biol. Medicine 159: 106936 (2023) - [j68]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j67]Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li:
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 (2023) - [j66]Yu Wang, Wei Cui, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou, Min Wu:
Feature selection and domain adaptation for cross-machine product quality prediction. J. Intell. Manuf. 34(4): 1573-1584 (2023) - [j65]Hongxiang Gao, Min Wu, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li, Chengyu Liu:
SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition. Neural Networks 158: 228-238 (2023) - [j64]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15604-15618 (2023) - [j63]Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li:
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2370-2380 (2023) - [j62]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen:
Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3860-3871 (2023) - [j61]Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu, Teo Sin Gee:
Privacy-Preserving Cross-Environment Human Activity Recognition. IEEE Trans. Cybern. 53(3): 1765-1775 (2023) - [j60]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 210-221 (2023) - [j59]Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen:
Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network. IEEE Trans. Ind. Informatics 19(9): 9280-9290 (2023) - [j58]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. IEEE J. Biomed. Health Informatics 27(11): 5225-5236 (2023) - [j57]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17(8): 106:1-106:18 (2023) - [j56]Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. IEEE Trans. Knowl. Data Eng. 35(1): 181-195 (2023) - [j55]Zhongzhou Liu, Yuan Fang, Min Wu:
Dual-View Preference Learning for Adaptive Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11316-11327 (2023) - [j54]Zhongzhou Liu, Yuan Fang, Min Wu:
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. ACM Trans. Inf. Syst. 41(3): 55:1-55:27 (2023) - [j53]Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li:
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. 8(1): 1-14 (2023) - [c44]Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. AAAI 2023: 10253-10261 - [c43]Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi:
GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. BIBM 2023: 408-411 - [c42]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. ICCV 2023: 13399-13410 - [c41]Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV 2023: 17401-17411 - [c40]Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - [c39]Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin:
Metagrad: Adaptive Gradient Quantization with Hypernetworks. ICIP 2023: 276-280 - [c38]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [c37]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD 2023: 1989-1998 - [c36]Zhongzhou Liu, Yuan Fang, Min Wu:
Estimating Propensity for Causality-based Recommendation without Exposure Data. NeurIPS 2023 - [c35]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS 2023 - [c34]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - [i46]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Label-efficient Time Series Representation Learning: A Review. CoRR abs/2302.06433 (2023) - [i45]Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin:
MetaGrad: Adaptive Gradient Quantization with Hypernetworks. CoRR abs/2303.02347 (2023) - [i44]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. CoRR abs/2303.10451 (2023) - [i43]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. CoRR abs/2304.04646 (2023) - [i42]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. CoRR abs/2304.05874 (2023) - [i41]Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka:
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders. CoRR abs/2306.05813 (2023) - [i40]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR abs/2306.16893 (2023) - [i39]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR abs/2307.02848 (2023) - [i38]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - [i37]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR abs/2307.07542 (2023) - [i36]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i35]Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR abs/2308.10438 (2023) - [i34]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR abs/2309.01717 (2023) - [i33]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph Contextual Contrasting for Multivariate Time Series Classification. CoRR abs/2309.05202 (2023) - [i32]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. CoRR abs/2309.05305 (2023) - [i31]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR abs/2309.13618 (2023) - [i30]Dominik Klepl, Min Wu, Fei He:
Graph Neural Network-based EEG Classification: A Survey. CoRR abs/2310.02152 (2023) - [i29]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition. CoRR abs/2310.14165 (2023) - [i28]Zhongzhou Liu, Yuan Fang, Min Wu:
Estimating Propensity for Causality-based Recommendation without Exposure Data. CoRR abs/2310.20388 (2023) - [i27]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. CoRR abs/2311.10806 (2023) - 2022
- [j52]Le Ou-Yang, Fan Lu, Zi-Chao Zhang, Min Wu:
Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey. Briefings Bioinform. 23(1) (2022) - [j51]Jie Wang, Min Wu, Xuhui Huang, Li Wang, Sophia Zhang, Hui Liu, Jie Zheng:
SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery. Database J. Biol. Databases Curation 2022(2022) (2022) - [j50]Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li:
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38(8): 2254-2262 (2022) - [j49]Shike Wang, Yimiao Feng, Xin Liu, Yong Liu, Min Wu, Jie Zheng:
NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers. Bioinform. 38(Supplement_2): ii13-ii19 (2022) - [j48]Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li:
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9(8): 1427-1439 (2022) - [j47]Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 (2022) - [j46]Yang Yang, Chao Wang, Lei Gong, Min Wu, Xuehai Zhou:
Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications. Neurocomputing 487: 172-180 (2022) - [j45]Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - [j44]Efe Camci, Manas Gupta, Min Wu, Jie Lin:
QLP: Deep Q-Learning for Pruning Deep Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6488-6501 (2022) - [j43]Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 725-727 (2022) - [j42]Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li:
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Electron. 69(2): 2022-2032 (2022) - [j41]Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan:
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j40]Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j39]Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. IEEE J. Biomed. Health Informatics 26(3): 992-1000 (2022) - [j38]Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu, Xinming Zhang:
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. IEEE Trans. Knowl. Data Eng. 34(3): 1317-1329 (2022) - [j37]Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang:
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. IEEE Trans. Veh. Technol. 71(9): 10215-10219 (2022) - [c33]Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li:
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. AAAI 2022: 8683-8690 - [c32]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen:
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition. ECCV (34) 2022: 147-164 - [c31]Dominik Klepl, Fei He, Min Wu, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. EMBC 2022: 305-308 - [c30]Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li, Min Wu:
Cost-effective Elderly Fall Detection with Symmetry Transformer Networks. HPCC/DSS/SmartCity/DependSys 2022: 1837-1845 - [c29]Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka:
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders. LOD (2) 2022: 47-61 - [i26]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen:
Learning Temporal Consistency for Source-Free Video Domain Adaptation. CoRR abs/2203.04559 (2022) - [i25]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR abs/2203.08321 (2022) - [i24]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i23]Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka:
Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders. CoRR abs/2206.10699 (2022) - [i22]Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. CoRR abs/2208.05187 (2022) - [i21]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR abs/2208.06616 (2022) - [i20]Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou:
Self-Optimizing Feature Transformation. CoRR abs/2209.08044 (2022) - [i19]Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin:
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. CoRR abs/2209.14624 (2022) - [i18]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR abs/2210.06286 (2022) - [i17]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR abs/2212.01555 (2022) - [i16]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR abs/2212.07056 (2022) - [i15]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR abs/2212.13402 (2022) - 2021
- [j36]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. 22(4) (2021) - [j35]Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37(16): 2432-2440 (2021) - [j34]Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu, Jie Zheng:
KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers. Bioinform. 37(Supplement): 418-425 (2021) - [j33]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j32]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466: 58-68 (2021) - [j31]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j30]Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li:
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. IEEE Trans. Ind. Electron. 68(3): 2521-2531 (2021) - [j29]Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17(8): 5239-5249 (2021) - [j28]Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j27]Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan:
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j26]Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li:
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. IEEE J. Biomed. Health Informatics 25(9): 3270-3277 (2021) - [j25]Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li:
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25(10): 4041-4051 (2021) - [j24]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. ACM Trans. Knowl. Discov. Data 15(3): 39:1-39:18 (2021) - [j23]Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li:
Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 33(1): 154-168 (2021) - [c28]Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu:
Two-Stream Convolution Augmented Transformer for Human Activity Recognition. AAAI 2021: 286-293 - [c27]Mincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu, Jie Zheng:
Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network. EMBC 2021: 1731-1734 - [c26]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI 2021: 2352-2359 - [c25]Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li:
Deep Reinforcement Learning Boosted Partial Domain Adaptation. IJCAI 2021: 3192-3199 - [p1]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. Generalization with Deep Learning 2021: 279-301 - [e1]Zhenghua Chen, Min Wu, Xiaoli Li:
Generalization with Deep Learning: For Improvement on Sensing Capability. WorldScientific 2021, ISBN 9789811218835 [contents] - [i14]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Matteo De Marco, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis. CoRR abs/2102.09882 (2021) - [i13]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR abs/2106.14112 (2021) - [i12]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR abs/2107.04470 (2021) - [i11]Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen:
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment. CoRR abs/2109.09964 (2021) - [i10]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR abs/2111.14834 (2021) - [i9]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. CoRR abs/2112.14900 (2021) - 2020
- [j22]Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li:
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. Bioinform. 36(11): 3474-3481 (2020) - [j21]Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren:
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinform. 36(16): 4458-4465 (2020) - [j20]Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36(19): 4918-4927 (2020) - [j19]Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Ensembling graph attention networks for human microbe-drug association prediction. Bioinform. 36(Supplement-2): i779-i786 (2020) - [j18]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 748-757 (2020) - [j17]Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Trans. Instrum. Meas. 69(7): 3992-4001 (2020) - [c24]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM 2020: 455-459 - [c23]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Deep learning with long short-term memory networks for classification of dementia related travel patterns. EMBC 2020: 5563-5566 - [c22]Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair:
Mahalanobis Distance Based Adversarial Network for Anomaly Detection. ICASSP 2020: 3192-3196 - [c21]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM 2020: 1-7 - [c20]Nhu Khue Vuong, Yang Xue, Shudong Liu, Yu Zhou, Min Wu:
Predicting Surface Roughness and Flank Wear in Turning Processes. ICPHM 2020: 1-6 - [i8]Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR abs/2004.11529 (2020) - [i7]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. CoRR abs/2005.08189 (2020) - [i6]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR abs/2007.09868 (2020) - [i5]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR abs/2007.10848 (2020)
2010 – 2019
- 2019
- [j16]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. Briefings Bioinform. 20(4): 1337-1357 (2019) - [j15]Jiang Huang, Min Wu, Fan Lu, Le Ou-Yang, Zexuan Zhu:
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization. BMC Bioinform. 20-S(19): 657 (2019) - [j14]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [c19]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [c18]Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun:
Online Collaborative Filtering with Implicit Feedback. DASFAA (2) 2019: 433-448 - [c17]Shudong Liu, Xiaoli Li, Shili Xiang, Min Wu:
Mobile Robot Routing with Energy Consumption Optimization. ICRAI 2019: 30-35 - [i4]Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu:
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. CoRR abs/1904.09601 (2019) - 2018
- [i3]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018) - [i2]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR abs/1810.08726 (2018) - 2017
- [j13]Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 646-656 (2017) - [j12]Min Wu, Le Ou-Yang, Xiaoli Li:
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 733-739 (2017) - [c16]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li:
Learning User Dependencies for Recommendation. IJCAI 2017: 2379-2385 - 2016
- [j11]Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan:
A two-layer integration framework for protein complex detection. BMC Bioinform. 17: 100 (2016) - [j10]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-target interaction prediction via class imbalance-aware ensemble learning. BMC Bioinform. 17(S-19): 267-276 (2016) - [j9]Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li:
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(2) (2016) - [c15]Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li:
Semantic proximity search on graphs with metagraph-based learning. ICDE 2016: 277-288 - [c14]Ding Cheng, Min Wu:
A Novel Classifier - Weighted Features Cost-Sensitive SVM. iThings/GreenCom/CPSCom/SmartData 2016: 598-603 - [c13]Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen:
Repeat Buyer Prediction for E-Commerce. KDD 2016: 155-164 - [c12]João Bártolo Gomes, Hai-Long Nguyen, Min Wu, Jianneng Cao, Shonali Krishnaswamy:
Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments. MDM (Workshops) 2016: 37-42 - [i1]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li:
Learning Optimal Social Dependency for Recommendation. CoRR abs/1603.04522 (2016) - 2015
- [j8]Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. J. Bioinform. Comput. Biol. 13(3): 1541002:1-1541002:14 (2015) - [c11]Jianneng Cao, Yongluan Zhou, Min Wu:
Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee. DASFAA (1) 2015: 75-91 - [c10]Min Wu, Hong Cao, Hai-Long Nguyen, Karl Surmacz, Caroline Hargrove:
Modeling perceived stress via HRV and accelerometer sensor streams. EMBC 2015: 1625-1628 - [c9]Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM 2015: 649-658 - [c8]Hai-Long Nguyen, João Bártolo Gomes, Min Wu, Hong Cao, Jianneng Cao, Shonali Krishnaswamy:
Active learning for accurate analysis of streaming partial discharge data. ICPHM 2015: 1-5 - 2014
- [j7]Peng Yang, Min Wu, Jing Guo, Chee Keong Kwoh, Teresa M. Przytycka, Jie Zheng:
LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms. BMC Bioinform. 15: 48 (2014) - [j6]Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang:
Detecting temporal protein complexes from dynamic protein-protein interaction networks. BMC Bioinform. 15: 335 (2014) - [j5]Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng:
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. BMC Syst. Biol. 8: 107 (2014) - [c7]Fan Zhang, Chee Keong Kwoh, Min Wu, Jie Zheng:
Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways. BCB 2014: 436-444 - 2013
- [c6]Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. BCB 2013: 384 - [c5]Xuejuan Li, Shital K. Mishra, Min Wu, Fan Zhang, Jie Zheng:
Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies. BIBM 2013: 4 - 2012
- [j4]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong:
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. J. Comput. Biol. 19(9): 1027-1042 (2012) - [c4]Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li:
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. BCB 2012: 20-27 - [c3]Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng:
Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse. BCB 2012: 297-304 - 2011
- [b1]Min Wu:
Mining protein complexes from protein interaction data. Nanyang Technological University, Singapore, 2011 - [j3]Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu:
Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinform. 27(13): 159-166 (2011) - [c2]Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng:
Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome. BIBM 2011: 57-62 - [c1]Lili Sun, Minyong Shao, Min Wu:
Design and Implementation of Multimedia Online Courseware Based on XML/XSLT and JavaScript. ICICA (2) 2011: 456-462 - 2010
- [j2]Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng:
Integrating diverse biological and computational sources for reliable protein-protein interactions. BMC Bioinform. 11(S-7): S8 (2010)
2000 – 2009
- 2009
- [j1]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng:
A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinform. 10 (2009)
Coauthor Index
[j102] [j101] [j100] [j98] [j96] [j95] [c56] [i77] [i71] [i70] [j92] [j89] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j77] [j76] [j74] [j73] [c55] [c54] [c48] [c47] [c45] [i64] [i63] [i62] [i61] [i60] [i59] [i56] [i53] [i52] [i51] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j53] [c44] [c42] [c38] [c37] [i46] [i44] [i43] [i38] [i37] [i36] [i33] [i32] [i29] [i27] [j48] [j47] [j43] [j42] [j41] [j40] [j37] [c33] [c32] [c30] [i26] [i25] [i24] [i22] [i21] [i18] [i17] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c28] [c26] [c25] [p1] [e1] [i13] [i12] [i11] [i10] [j17] [c23] [c22] [c21] [i6] [c19]
[j98] [j96] [j95] [c56] [i77] [i75] [i71] [i70] [j89] [j88] [j87] [j86] [j85] [j84] [j82] [j81] [j74] [j73] [c55] [c54] [c51] [c47] [c45] [i67] [i66] [i64] [i63] [i61] [i59] [i56] [i55] [i54] [i53] [i52] [i51] [j71] [j69] [j68] [j67] [j64] [j63] [j60] [j57] [j53] [c44] [c42] [c41] [c38] [c37] [i46] [i44] [i38] [i37] [i36] [i35] [i33] [i32] [i27] [j50] [j48] [j47] [j45] [j43] [j42] [j41] [j40] [j37] [c33] [i25] [i24] [i22] [i21] [i18] [i17] [j36] [j35] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c26] [c25] [p1] [e1] [i13] [i12] [i10] [j22] [j20] [j19] [j18] [j17] [c24] [c23] [c22] [c21] [i7] [i6] [i5] [j16] [c19] [c17] [i2] [j13] [j12] [c16] [j11] [j10] [j9] [c15] [i1] [j8] [c9] [j6] [j5] [c6] [j4] [c4] [j3] [j2] [j1]
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