Min Wu

317 papers A* 28A 2B 3Misc 2Journal 239Unranked 40
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Unified Shape-Aware Foundation Model for Time Series Classification.
AAAI
Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026 J jnl
A Unified Shape-Aware Foundation Model for Time Series Classification.
CoRR
Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026 J jnl
Boosting Time-Series Domain Adaptation via A Time-Frequency Consensus Framework.
IEEE Trans. Artif. Intell.
Wenmian Yang, Mohamed Ragab, Min Wu, Sinno Jialin Pan, Guosheng Lin, Weijia Jia, Zhenghua Chen
2026 J jnl
Covert Communication for Satellite Aerial-Ground Integrated Networks Under Imperfect Limitations.
IEEE Internet Things J.
Yuanyuan Wang, Kefeng Guo, Zeke Wu, Min Wu, Ali Nauman, Jian Cheng, Feng Zhou
2026 J jnl
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction.
Bioinform.
Zhijian Huang, Kai Chen, Xianshu Wang, Junheng Wang, Siyuan Shen, Yuanpeng Zhang, Min Wu, Lei Deng
2026 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation.
CoRR
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation.
IEEE Trans. Knowl. Data Eng.
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2026 J jnl
FG-KD: A Novel Forward Gradient-Based Framework for Teacher Knowledge Augmentation.
IEEE Trans. Artif. Intell.
Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Xuehai Zhou
2026 J jnl
Federated Learning-Driven Covert Communication in Satellite-Terrestrial Integrated Networks: A Privacy-Preserving Framework.
IEEE J. Sel. Areas Commun.
Min Wu, Kefeng Guo, Ziwei Wang, Chao Dong, Yang Liu, Qihui Wu, Zhiming Zheng
2026 J jnl
From Inconsistency to Unity: Benchmarking Deep Learning-Based Unsupervised Domain Adaptation for RUL.
IEEE Trans Autom. Sci. Eng.
Tilman Krokotsch, Mohamed Ragab, Min Wu, Xiaoli Li, Zhenghua Chen, Clemens Gühmann
2026 A* conf
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.
AAAI
Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng
2026 A* conf
Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data.
AAAI
Wei Cui, Lukai Fan, Zhenghua Chen, Min Wu, Shili Xiang, Haixia Wang, Bing Li
2026 J jnl
MSA-CNN: A lightweight multi-scale CNN with attention for sleep stage classification.
Biomed. Signal Process. Control.
Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Fei He, Min Wu
2026 J jnl
MeLoRA : Probability measures-based low-rank adaptation with Gaussian variational inference.
Knowl. Based Syst.
Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Yuhai Zhao, XuLei Yang, Min Wu, Ge Yu
2026 J jnl
Multimodal Fusion of Behavioral and Physiological Signals for Enhanced Emotion Recognition via Feature Decoupling and Knowledge Transfer.
IEEE J. Biomed. Health Informatics
Hongxiang Gao, Zhipeng Cai, Xingyao Wang, Min Wu, Chengyu Liu
2026 J jnl
Multitarget Joint Collaborative Sensing for Distributed MIMO-OTFS Radar Systems.
IEEE Trans. Aerosp. Electron. Syst.
Xuanhong Ren, Min Wu, Ziwei Wang, Zhiming Zheng
2026 J jnl
Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction.
IEEE Trans Autom. Sci. Eng.
Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
Time Series Domain Adaptation via Latent Invariant Causal Mechanism.
IEEE Trans. Pattern Anal. Mach. Intell.
Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun
2026 J jnl
Toward Accurate Procedure Planning in Instructional Videos: Visual State Generation Helps Task-Selective Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Fen Fang, Muli Yang, Min Wu, Yanhua Yang, Qianli Xu, Joo-Hwee Lim, XuLei Yang, Hongyuan Zhu
2025 J jnl
A Unified Physiological Signal Interaction Network for Cross-Dataset Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Zhipeng Cai, Hongxiang Gao, Min Wu, Jianqing Li, Chengyu Liu
2025 J jnl
A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification.
IEEE Trans. Neural Networks Learn. Syst.
Wenmian Yang, Lizhi Cheng, Mohamed Ragab, Min Wu, Sinno Jialin Pan, Zhenghua Chen
2025 J jnl
A probabilistic optimizer for binary neural networks.
Neurocomputing
Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Min Wu, Ge Yu, Yuhai Zhao
2025 J jnl
ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition.
Neural Networks
Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu
2025 — conf
ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining.
BIBM
Yahan Li, Zhijian Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng
2025 J jnl
Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment.
CoRR
Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu
2025 — conf
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation.
KDD (1)
Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation.
CoRR
Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization.
CoRR
Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiao-Li Li, Daoqiang Zhang
2025 J jnl
C2T-HR3D: Cross-Fusion of CNN and Transformer for High-Speed Railway Dropper Defect Detection.
IEEE Trans. Instrum. Meas.
Jin He, Fengmao Lv, Jun Liu, Min Wu, Badong Chen, Shiping Wang
2025 J jnl
CircGO: Predicting circRNA Functions Through Self-Supervised Learning of Heterogeneous Networks.
IEEE Trans. Comput. Biol. Bioinform.
Zhijian Huang, Rongtao Zheng, Siyuan Shen, Kai Chen, Min Wu, Lei Deng
2025 J jnl
Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.
CoRR
Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao
2025 J jnl
Covert Communications for Energy-Efficient ISTRNs With Opportunistic Scheduling and Cooperative Jamming.
IEEE Trans. Green Commun. Netw.
Kefeng Guo, Zeke Wu, Ali Nauman, Muhammad Ali Jamshed, Min Wu, Peilin Qi, Qihui Wu, Shakila Basheer
2025 J jnl
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.
CoRR
Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, Xiaoli Li
2025 J jnl
DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.
J. Chem. Inf. Model.
Yuanpeng Zhang, Zhijian Huang, Yurong Qian, Peng Xie, Ziyu Fan, Min Wu, Lei Deng
2025 J jnl
Efficient Distortion-Minimized Layerwise Pruning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaixin Xu, Zhe Wang, Runtao Huang, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2025 Misc conf
Enhancing EEG-based Covert Speech Decoding through Knowledge Transfer.
ICASSP
Zhiwei Guo, Muyun Jiang, Chenyu Liu, Min Wu, Jia Lu, Balázs Gulyás, Cuntai Guan
2025 J jnl
EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting.
CoRR
Sachith Abeywickrama, Emadeldeen Eldele, Min Wu, Xiaoli Li, Chau Yuen
2025 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation.
IEEE Trans. Instrum. Meas.
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2025 J jnl
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
CoRR
Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025 A* conf
Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
ICDE
Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025 J jnl
Federated Learning in STAR-RIS Aided SAGINs.
IEEE Commun. Stand. Mag.
Min Wu, Kefeng Guo, Kapal Dev, Hussam M. N. Al Hamadi, Keshav Singh, Sunder Ali Khowaja, Xingwang Li
2025 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
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
2025 J jnl
GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy.
IEEE Trans. Comput. Biol. Bioinform.
Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai
2025 J jnl
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.
CoRR
Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng
2025 J jnl
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
ACM Trans. Knowl. Discov. Data
Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
2025 J jnl
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers.
CoRR
Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu
2025 J jnl
Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers.
Briefings Bioinform.
Xuexin Chen, Ruichu Cai, Zhengting Huang, Zijian Li, Jie Zheng, Min Wu
2025 J jnl
Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors.
IEEE Trans. Artif. Intell.
Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Xiang Li, Xianglan Chen, Xuehai Zhou
2025 J jnl
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
CoRR
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Knowledge-Guided Gene Panel Selection for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
IEEE Trans. Comput. Biol. Bioinform.
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 A* conf
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
ICML
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025 J jnl
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
CoRR
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025 J jnl
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen
2025 J jnl
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification.
CoRR
Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He
2025 J jnl
MTSNet: Convolution-Based Transformer Network With Multi-Scale Temporal-Spectral Feature Fusion for SSVEP Signal Decoding.
IEEE J. Biomed. Health Informatics
Zhen Lan, Zixing Li, Chao Yan, Xiaojia Xiang, Dengqing Tang, Min Wu, Zhenghua Chen
2025 J jnl
MVRBind: multi-view learning for RNA-small molecule binding site prediction.
Briefings Bioinform.
Song Chen, Zhijian Huang, Yucheng Wang, Yahan Li, Yaw Sing Tan, Lei Deng, Min Wu
2025 A* conf
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation.
ICLR
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie
2025 — conf
MutDTA: Interpretable Transfer Learning for Predicting Mutation Effects on Drug Binding Affinity in Viral Proteins.
BIBM
Xiaowen Hu, Pan Zhang, Min Wu, Guangdi Li, Zizhang Sheng, Lei Deng
2025 J jnl
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach.
Neural Networks
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2025 J jnl
Performance analysis of RSMA-based integrated sensing and communication system.
Phys. Commun.
Ying Cheng, Min Wu, Zeke Wu, Xi Han, Jianmei Dai, Changqing Li
2025 J jnl
RIS-Assisted SATINs With RSMA and DRL: A Trade-Off Between Spectral, Secrecy, and Energy Efficiency.
IEEE Trans. Commun.
Min Wu, Kefeng Guo, Xingwang Li, Zhi Lin, Liang Yang, Theodoros A. Tsiftsis, Chau Yuen
2025 J jnl
RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces.
Neural Networks
Zhen Lan, Zixing Li, Chao Yan, Xiaojia Xiang, Dengqing Tang, Min Wu, Zhenghua Chen
2025 J jnl
Soft Graph Clustering for single-cell RNA Sequencing Data.
CoRR
Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou
2025 J jnl
Soft graph clustering for single-cell RNA sequencing data.
BMC Bioinform.
Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou
2025 J jnl
Subset-Contrastive Multi-Omics Network Embedding.
CoRR
Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka
2025 J jnl
Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction.
CoRR
Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiao-Li Li, Zhenghua Chen
2025 — conf
Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.
KDD (2)
Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.
CoRR
Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu
2025 — conf
The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications.
WWW (Companion Volume)
Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025 J jnl
Time Series Domain Adaptation via Latent Invariant Causal Mechanism.
CoRR
Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun
2025 J jnl
Towards Open-Vocabulary Video Semantic Segmentation.
IEEE Trans. Multim.
Xinhao Li, Yun Liu, Guolei Sun, Min Wu, Le Zhang, Ce Zhu
2025 J jnl
URLLC for DRL-RIS-AIDED SAGINs: New Mentalities, Trends and Preliminary Solutions.
IEEE Commun. Stand. Mag.
Min Wu, Kefeng Guo, Xingwang Li, Muhammad Asif, Congzheng Han, Khaled M. Rabie
2025 J jnl
Uncertainty-Aware Self-Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol.
Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Yingxue Gao, Teng Wang, Xuehai Zhou
2025 J jnl
UniFault: A Fault Diagnosis Foundation Model from Bearing Data.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee
2025 A conf
Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration.
CIKM
Tengwei Song, Min Wu, Yuan Fang
2025 J jnl
Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration.
CoRR
Tengwei Song, Min Wu, Yuan Fang
2024 J jnl
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.
CoRR
Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen
2024 — conf
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification.
EMBC
Stephan Goerttler, Fei He, Min Wu
2024 J jnl
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification.
CoRR
Stephan Goerttler, Fei He, Min Wu
2024 — conf
Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification.
EMBC
Xiaohao Lin, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Han Wei Ng, Cuntai Guan
2024 J jnl
CLigOpt: controllable ligand design through target-specific optimization.
Bioinform.
Yutong Li, Pedro Henrique da Costa Avelar, Xinyue Chen, Li Zhang, Min Wu, Sophia Tsoka
2024 J jnl
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.
IEEE Trans. Artif. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2024 J jnl
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection.
CoRR
Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
Deep Reinforcement Learning-Based Energy Efficiency Optimization for RIS-Aided Integrated Satellite-Aerial-Terrestrial Relay Networks.
IEEE Trans. Commun.
Min Wu, Kefeng Guo, Xingwang Li, Zhi Lin, Yongpeng Wu, Theodoros A. Tsiftsis, Houbing Song
2024 J jnl
DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.
Bioinform.
Zhijian Huang, Yucheng Wang, Song Chen, Yaw Sing Tan, Lei Deng, Min Wu
2024 J jnl
Democratizing Federated WiFi-Based Human Activity Recognition Using Hypothesis Transfer.
IEEE Trans. Mob. Comput.
Bing Li, Wei Cui, Le Zhang, Qi Yang, Min Wu, Joey Tianyi Zhou
2024 B conf
Energy Efficiency Optimization in RIS-assisted ISATRNs with RSMA: A Federated Deep Reinforcement Learning Approach.
WCNC
Min Wu, Kefeng Guo, Zhi Lin, Sahil Garg, Kuljeet Kaur, Georges Kaddoum
2024 J jnl
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization.
CoRR
Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao
2024 J jnl
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.
CoRR
Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao
2024 J jnl
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments.
CoRR
Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li
2024 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.
CoRR
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2024 J jnl
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering.
CoRR
J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li
2024 A* conf
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
ICLR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
CoRR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
CoRR
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
2024 A* conf
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
GeneSUM: Large Language Model-based Gene Summary Extraction.
CoRR
Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024 — conf
GeneSum: Large Language Model-based Gene Summary Extraction.
BIBM
Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024 J jnl
Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains.
IEEE Trans. Mob. Comput.
Shijia Liu, Zhenghua Chen, Min Wu, Hao Wang, Bin Xing, Liangyin Chen
2024 J jnl
Global and Compact Video Context Embedding for Video Semantic Segmentation.
IEEE Access
Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool
2024 J jnl
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition.
IEEE J. Biomed. Health Informatics
Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu
2024 A* conf
Graph-Aware Contrasting for Multivariate Time-Series Classification.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 — conf
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning.
CAI
Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Ashish James, Chuan-Sheng Foo, Min Wu, Jie Lin
2024 J jnl
Joint Optimization Design of RIS-Assisted Hybrid FSO SAGINs Using Deep Reinforcement Learning.
IEEE Trans. Veh. Technol.
Min Wu, Kefeng Guo, Zhi Lin, Xingwang Li, Kang An, Yuzhen Huang
2024 J jnl
Joint Trajectory and Beamforming Optimization for Federated DRL-Aided Space-Aerial-Terrestrial Relay Networks With RIS and RSMA.
IEEE Trans. Wirel. Commun.
Kefeng Guo, Min Wu, Xingwang Li, Zhi Lin, Theodoros A. Tsiftsis
2024 J jnl
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.
CoRR
Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.
CoRR
Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen
2024 — conf
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
ECCV (71)
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
CoRR
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
Label-Efficient Time Series Representation Learning: A Review.
IEEE Trans. Artif. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li
2024 J jnl
Learning Local and Global Temporal Contexts for Video Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Guolei Sun, Yun Liu, Henghui Ding, Min Wu, Luc Van Gool
2024 J jnl
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift.
CoRR
Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu
2024 J jnl
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation.
Trans. Mach. Learn. Res.
Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning.
Bioinform.
Zhijian Huang, Ziyu Fan, Siyuan Shen, Min Wu, Lei Deng
2024 J jnl
Motif Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2024 J jnl
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation.
CoRR
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie
2024 J jnl
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.
IEEE Trans. Artif. Intell.
Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
Optimization Design in RIS-Assisted Integrated Satellite-UAV-Served 6G IoT: A Deep Reinforcement Learning Approach.
IEEE Internet Things Mag.
Min Wu, Kefeng Guo, Xingwang Li, Ali Nauman, Kang An, Ji Wang
2024 J jnl
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis.
CoRR
Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024 J jnl
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024 — conf
Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability.
BIBM
Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu, Sophia Tsoka
2024 J jnl
Power Allocation and Performance Evaluation for NOMA-Aided Integrated Satellite-HAP-Terrestrial Networks Under Practical Limitations.
IEEE Internet Things J.
Kefeng Guo, Haifeng Shuai, Kang An, Fuhui Zhou, Theodoros A. Tsiftsis, Xingwang Li, Min Wu
2024 J jnl
PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station.
IEEE Internet Things J.
Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu, Zhenghua Chen
2024 A* conf
Reinforced Cross-Domain Knowledge Distillation on Time Series Data.
NeurIPS
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2024 J jnl
Reinforced Knowledge Distillation for Time Series Regression.
IEEE Trans. Artif. Intell.
Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2024 J jnl
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.
IEEE Trans. Artif. Intell.
Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen
2024 J jnl
Revisiting Computer-Aided Tuberculosis Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell.
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
2024 J jnl
SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 — conf
Secrecy Outage Probability for RSMA-based ISATNs with Imperfect Hardware.
ICC
Kefeng Guo, Xingwang Li, Muhammad Bilal, Ali Nauman, Min Wu, Feng Zhou
2024 J jnl
Self-Supervised Autoregressive Domain Adaptation for Time Series Data.
IEEE Trans. Neural Networks Learn. Syst.
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2024 J jnl
Self-evolving Autoencoder Embedded Q-Network.
CoRR
J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li
2024 — conf
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval.
EMBC
Stephan Goerttler, Fei He, Min Wu
2024 A* conf
TSLANet: Rethinking Transformers for Time Series Representation Learning.
ICML
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024 J jnl
TSLANet: Rethinking Transformers for Time Series Representation Learning.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024 J jnl
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.
CoRR
Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction.
CoRR
Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu
2024 J jnl
Towards Open-Vocabulary Video Semantic Segmentation.
CoRR
Xinhao Li, Yun Liu, Guolei Sun, Min Wu, Le Zhang, Ce Zhu
2024 J jnl
Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection.
IEEE Trans. Ind. Informatics
Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen
2024 J jnl
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
2024 A* conf
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming.
NeurIPS
Lorenzo Orecchia, Jiawei Hu, Xue He, Wang Mark, XuLei Yang, Min Wu, Xue Geng
2024 J jnl
Two-Way Satellite-HAP-Terrestrial Networks With Non-Orthogonal Multiple Access.
IEEE Trans. Veh. Technol.
Kefeng Guo, Haifeng Shuai, Xingwang Li, Liang Yang, Theodoros A. Tsiftsis, Arumugam Nallanathan, Min Wu
2024 J jnl
WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition.
IEEE Trans. Instrum. Meas.
Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen
2024 J jnl
WiSR: Wireless Domain Generalization Based on Style Randomization.
IEEE Trans. Mob. Comput.
Shijia Liu, Zhenghua Chen, Min Wu, Chang Liu, Liangyin Chen
2023 J jnl
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment.
IEEE Trans. Sustain. Comput.
Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li
2023 J jnl
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.
IEEE CAA J. Autom. Sinica
Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li
2023 J jnl
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
Comput. Biol. Medicine
Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang
2023 J jnl
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.
IEEE Trans. Emerg. Top. Comput. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
ACM Trans. Knowl. Discov. Data
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 J jnl
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data.
CoRR
Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
2023 A* conf
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.
ICCV
Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li
2023 J jnl
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.
CoRR
Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li
2023 A* conf
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
ICDM
Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 J jnl
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
Bioinform.
Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi
2023 J jnl
Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network.
IEEE Trans. Ind. Informatics
Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen
2023 J jnl
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph.
IEEE Trans. Knowl. Data Eng.
Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
2023 J jnl
Deep Reinforcement Learning and NOMA-Based Multi-Objective RIS-Assisted IS-UAV-TNs: Trajectory Optimization and Beamforming Design.
IEEE Trans. Intell. Transp. Syst.
Kefeng Guo, Min Wu, Xingwang Li, Houbing Song, Neeraj Kumar
2023 A* conf
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
IJCAI
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023 J jnl
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
CoRR
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023 J jnl
Dual-View Preference Learning for Adaptive Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.
CoRR
Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu
2023 J jnl
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.
IEEE J. Biomed. Health Informatics
Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu
2023 A* conf
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
ICCV
Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin
2023 J jnl
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
CoRR
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
2023 J jnl
Energy efficiency performance in RIS-based integrated satellite-aerial-terrestrial relay networks with deep reinforcement learning.
EURASIP J. Adv. Signal Process.
Jiao Li, Huajian Xue, Min Wu, Fucheng Wang, Tieliang Gao, Feng Zhou
2023 A* conf
Estimating Propensity for Causality-based Recommendation without Exposure Data.
NeurIPS
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
Estimating Propensity for Causality-based Recommendation without Exposure Data.
CoRR
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
Feature selection and domain adaptation for cross-machine product quality prediction.
J. Intell. Manuf.
Yu Wang, Wei Cui, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou, Min Wu
2023 J jnl
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 — conf
GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction.
BIBM
Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi
2023 J jnl
Graph Contextual Contrasting for Multivariate Time Series Classification.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 J jnl
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition.
CoRR
Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu
2023 J jnl
Graph Neural Network-based EEG Classification: A Survey.
CoRR
Dominik Klepl, Min Wu, Fei He
2023 J jnl
Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective.
Sensors
Yudi Chen, Yiwen Jiao, Min Wu, Hongbin Ma, Zhiwei Lu
2023 J jnl
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders.
CoRR
Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka
2023 J jnl
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR
Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
2023 J jnl
Joint Beamforming Design for RIS-Assisted Integrated Satellite-HAP-Terrestrial Networks Using Deep Reinforcement Learning.
Sensors
Min Wu, Shibing Zhu, Changqing Li, Yudi Chen, Feng Zhou
2023 B conf
Joint Optimization for RIS-Aided Hybrid FSO SAGINs with Deep Reinforcement Learning.
GLOBECOM
Kefeng Guo, Min Wu, Xingwang Li, Shahid Mumtaz, Charalampos Tsimenidis
2023 J jnl
KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality.
Bioinform.
Ke Zhang, Min Wu, Yong Liu, Yimiao Feng, Jie Zheng
2023 J jnl
Label-efficient Time Series Representation Learning: A Review.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 J jnl
MetaGrad: Adaptive Gradient Quantization with Hypernetworks.
CoRR
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
2023 B conf
Metagrad: Adaptive Gradient Quantization with Hypernetworks.
ICIP
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
2023 J jnl
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation.
ACM Trans. Inf. Syst.
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network.
IEEE Trans. Circuits Syst. Video Technol.
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen
2023 J jnl
Privacy-Preserving Cross-Environment Human Activity Recognition.
IEEE Trans. Cybern.
Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu, Sin Gee Teo
2023 — conf
Proactive Eavesdropping Performance for Integrated Satellite-Terrestrial Relay Networks.
ICCC Workshops
Kefeng Guo, Min Wu, Xingwang Li, Rui Liu, Jianmei Dai
2023 J jnl
Proactive Eavesdropping Performance for Integrated Satellite-Terrestrial Relay Networks.
IEEE Open J. Commun. Soc.
Zheping Wu, Kefeng Guo, Xingwang Li, Yudong Zhang, Mingfu Zhu, Houbing Song, Min Wu
2023 J jnl
Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li
2023 A* conf
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
NeurIPS
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
CoRR
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Revisiting Computer-Aided Tuberculosis Diagnosis.
CoRR
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
2023 J jnl
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 A* conf
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie
2023 J jnl
SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition.
Neural Networks
Hongxiang Gao, Min Wu, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li, Chengyu Liu
2023 J jnl
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023 A* conf
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.
KDD
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2023 J jnl
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2023 J jnl
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag.
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2023 A conf
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
SDM
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
CoRR
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
2023 — conf
Trajectory Optimization and Beamforming Design for NOMA-enabled Multi-Objective RIS-aided IS-UAV-TNs with Deep Reinforcement Learning.
ICCT
Min Wu, Kefeng Guo, Haotong Cao, Zhi Lin, Kang An, Jiangzhou Wang
2023 J jnl
Unlimited Knowledge Distillation for Action Recognition in the Dark.
CoRR
Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen
2022 J jnl
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2022 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas.
Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan
2022 — conf
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease.
EMBC
Dominik Klepl, Fei He, Min Wu, Daniel Blackburn, Ptolemaios G. Sarrigiannis
2022 J jnl
Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis.
IEEE J. Biomed. Health Informatics
Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
2022 J jnl
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.
Neurocomputing
Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li
2022 J jnl
Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications.
Neurocomputing
Yang Yang, Chao Wang, Lei Gong, Min Wu, Xuehai Zhou
2022 — conf
Cost-effective Elderly Fall Detection with Symmetry Transformer Networks.
HPCC/DSS/SmartCity/DependSys
Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li, Min Wu
2022 J jnl
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation.
CoRR
Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2022 A* conf
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.
AAAI
Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li
2022 J jnl
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen
2022 J jnl
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning.
CoRR
Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin
2022 J jnl
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Electron.
Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li
2022 J jnl
Learning Temporal Consistency for Source-Free Video Domain Adaptation.
CoRR
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen
2022 J jnl
Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey.
Briefings Bioinform.
Le Ou-Yang, Fan Lu, Zi-Chao Zhang, Min Wu
2022 J jnl
Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders.
CoRR
Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka
2022 — conf
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders.
LOD (2)
Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka
2022 J jnl
NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers.
Bioinform.
Shike Wang, Yimiao Feng, Xin Liu, Yong Liu, Min Wu, Jie Zheng
2022 J jnl
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2022 J jnl
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica
Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li
2022 J jnl
Pre-training graph neural networks for link prediction in biomedical networks.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2022 J jnl
QLP: Deep Q-Learning for Pruning Deep Neural Networks.
IEEE Trans. Circuits Syst. Video Technol.
Efe Camci, Manas Gupta, Min Wu, Jie Lin
2022 J jnl
Self-Optimizing Feature Transformation.
CoRR
Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou
2022 J jnl
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2022 J jnl
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.
IEEE Trans. Veh. Technol.
Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang
2022 J jnl
Significance of activation functions in developing an online classifier for semiconductor defect detection.
Knowl. Based Syst.
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
2022 — conf
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.
ECCV (34)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen
2022 J jnl
SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery.
Database J. Biol. Databases Curation
Jie Wang, Min Wu, Xuhui Huang, Li Wang, Sophia Zhang, Hui Liu, Jie Zheng
2022 J jnl
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
CoRR
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
2022 J jnl
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding.
IEEE Trans. Knowl. Data Eng.
Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu, Xinming Zhang
2021 J jnl
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li
2021 J jnl
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Adversarial Multiple-Target Domain Adaptation for Fault Classification.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors.
IEEE J. Biomed. Health Informatics
Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li
2021 J jnl
Attention-based sequence to sequence model for machine remaining useful life prediction.
Neurocomputing
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis.
CoRR
Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Matteo De Marco, Ptolemaios G. Sarrigiannis
2021 — ch.
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks.
Generalization with Deep Learning
Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li
2021 J jnl
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 A* conf
Deep Reinforcement Learning Boosted Partial Domain Adaptation.
IJCAI
Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li
2021 J jnl
Deep learning for human activity recognition.
Neurocomputing
Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang
2021 J jnl
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder.
IEEE Trans. Instrum. Meas.
Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan
2021 — book
Generalization with Deep Learning: For Improvement on Sensing Capability
Generalization with Deep Learning
Zhenghua Chen, Min Wu, Xiaoli Li
2021 J jnl
Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2021 J jnl
KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers.
Bioinform.
Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu, Jie Zheng
2021 J jnl
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach.
IEEE Trans. Ind. Electron.
Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li
2021 J jnl
Metagraph-Based Learning on Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng.
Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li
2021 J jnl
Motif Graph Neural Network.
CoRR
Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2021 J jnl
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment.
CoRR
Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen
2021 J jnl
Multi-View Collaborative Network Embedding.
ACM Trans. Knowl. Discov. Data
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2021 — conf
Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network.
EMBC
Mincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu, Jie Zheng
2021 J jnl
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
IEEE J. Biomed. Health Informatics
Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li
2021 J jnl
Recent advances in network-based methods for disease gene prediction.
Briefings Bioinform.
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2021 J jnl
Self-supervised Autoregressive Domain Adaptation for Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2021 A* conf
Time-Series Representation Learning via Temporal and Contextual Contrasting.
IJCAI
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Time-Series Representation Learning via Temporal and Contextual Contrasting.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 A* conf
Two-Stream Convolution Augmented Transformer for Human Activity Recognition.
AAAI
Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu
2020 J jnl
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.
Bioinform.
Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li
2020 — conf
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.
ICPHM
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.
CoRR
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2020 J jnl
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph.
CoRR
Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
2020 — conf
Deep learning with long short-term memory networks for classification of dementia related travel patterns.
EMBC
Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li
2020 J jnl
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.
Bioinform.
Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren
2020 J jnl
Ensembling graph attention networks for human microbe-drug association prediction.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 Misc conf
Mahalanobis Distance Based Adversarial Network for Anomaly Detection.
ICASSP
Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair
2020 J jnl
Multi-View Collaborative Network Embedding.
CoRR
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2020 — conf
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
BIBM
Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 — conf
Predicting Surface Roughness and Flank Wear in Turning Processes.
ICPHM
Nhu Khue Vuong, Yang Xue, Shudong Liu, Yu Zhou, Min Wu
2020 J jnl
Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform.
Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 J jnl
Recent Advances in Network-based Methods for Disease Gene Prediction.
CoRR
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
SL
IEEE ACM Trans. Comput. Biol. Bioinform.
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2020 J jnl
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori.
IEEE Trans. Instrum. Meas.
Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li
2019 — conf
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data.
BHI
Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li
2019 J jnl
Adaptive Cost-Sensitive Online Classification.
IEEE Trans. Knowl. Data Eng.
Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2019 J jnl
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
Briefings Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2019 J jnl
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.
CoRR
Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu
2019 — conf
Mobile Robot Routing with Energy Consumption Optimization.
ICRAI
Shudong Liu, Xiaoli Li, Shili Xiang, Min Wu
2019 — conf
Online Collaborative Filtering with Implicit Feedback.
DASFAA (2)
Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
2019 J jnl
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization.
BMC Bioinform.
Jiang Huang, Min Wu, Fan Lu, Le Ou-Yang, Zexuan Zhu
2018 J jnl
Adaptive Cost-sensitive Online Classification.
CoRR
Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2018 J jnl
SL
CoRR
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2017 J jnl
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh
2017 A* conf
Learning User Dependencies for Recommendation.
IJCAI
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
2017 J jnl
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform.
Min Wu, Le Ou-Yang, Xiaoli Li
2016 — conf
A Novel Classifier - Weighted Features Cost-Sensitive SVM.
iThings/GreenCom/CPSCom/SmartData
Ding Cheng, Min Wu
2016 J jnl
A two-layer integration framework for protein complex detection.
BMC Bioinform.
Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan
2016 — conf
Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments.
MDM (Workshops)
João Bártolo Gomes, Hai-Long Nguyen, Min Wu, Jianneng Cao, Shonali Krishnaswamy
2016 J jnl
Drug-target interaction prediction via class imbalance-aware ensemble learning.
BMC Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2016 J jnl
Learning Optimal Social Dependency for Recommendation.
CoRR
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li
2016 J jnl
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.
PLoS Comput. Biol.
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li
2016 A* conf
Repeat Buyer Prediction for E-Commerce.
KDD
Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen
2016 A* conf
Semantic proximity search on graphs with metagraph-based learning.
ICDE
Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li
2015 — conf
Active learning for accurate analysis of streaming partial discharge data.
ICPHM
Hai-Long Nguyen, João Bártolo Gomes, Min Wu, Hong Cao, Jianneng Cao, Shonali Krishnaswamy
2015 — conf
Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee.
DASFAA (1)
Jianneng Cao, Yongluan Zhou, Min Wu
2015 A* conf
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.
ICDM
Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi
2015 — conf
Modeling perceived stress via HRV and accelerometer sensor streams.
EMBC
Min Wu, Hong Cao, Hai-Long Nguyen, Karl Surmacz, Caroline Hargrove
2015 J jnl
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.
J. Bioinform. Comput. Biol.
Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2014 — conf
Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways.
BCB
Fan Zhang, Chee Keong Kwoh, Min Wu, Jie Zheng
2014 J jnl
Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform.
Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang
2014 J jnl
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.
BMC Syst. Biol.
Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng
2014 J jnl
LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms.
BMC Bioinform.
Peng Yang, Min Wu, Jing Guo, Chee Keong Kwoh, Teresa M. Przytycka, Jie Zheng
2013 — conf
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer.
BCB
Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2013 — conf
Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies.
BIBM
Xuejuan Li, Shital K. Mishra, Min Wu, Fan Zhang, Jie Zheng
2012 J jnl
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong
2012 — conf
Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse.
BCB
Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng
2012 — conf
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.
BCB
Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li
2011 J jnl
Construction of co-complex score matrix for protein complex prediction from AP-MS data.
Bioinform.
Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu
2011 — conf
Design and Implementation of Multimedia Online Courseware Based on XML/XSLT and JavaScript.
ICICA (2)
Lili Sun, Minyong Shao, Min Wu
2011 — —
Mining protein complexes from protein interaction data
Min Wu
2011 — conf
Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome.
BIBM
Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng
2010 J jnl
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform.
Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng
2009 J jnl
A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng