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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
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2020 – today
- 2024
[j90]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)- [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [c48]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 - [c47]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 - [c46]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 - [c45]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML 2024 - [i63]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) - [i62]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) - [i61]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) - [i60]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li:
TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR abs/2404.08472 (2024) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - 2023
- [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]Zhongzhou Liu, Yuan Fang, Min Wu:
Dual-View Preference Learning for Adaptive Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11316-11327 (2023) - [j52]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) - [j51]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
- [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]