A core-attachment based method to detect protein complexes in PPI networks. - Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001; See-Kiong Ng (BMC Bioinform., 2009)

Integrating diverse biological and computational sources for reliable protein-protein interactions. - Min Wu 008; Xiaoli Li 001; Hon Nian Chua; Chee Keong Kwoh 001; See-Kiong Ng (BMC Bioinform., 2010)

Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome. - Min Wu 008; Chee Keong Kwoh 001; Teresa M. Przytycka; Jing Li 002; Jie Zheng 002 (BIBM, 2011)

Design and Implementation of Multimedia Online Courseware Based on XML/XSLT and JavaScript. - Lili Sun; Minyong Shao; Min Wu 008 (ICICA (2), 2011)

Construction of co-complex score matrix for protein complex prediction from AP-MS data. - Zhipeng Xie; Chee Keong Kwoh 001; Xiaoli Li 001; Min Wu 008 (Bioinform., 2011)

Mining protein complexes from protein interaction data - Min Wu 008 (2011)

Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse. - Min Wu 008; Chee Keong Kwoh 001; Teresa M. Przytycka; Jing Li 002; Jie Zheng 002 (BCB, 2012)

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. - Min Wu 008; Chee Keong Kwoh 001; Jie Zheng 002; Xiaoli Li 001 (BCB, 2012)

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. - Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001; See-Kiong Ng; Limsoon Wong (J. Comput. Biol., 2012)

Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. - Min Wu 008; Xuejuan Li; Fan Zhang 089; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (BCB, 2013)

Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies. - Xuejuan Li; Shital K. Mishra; Min Wu 008; Fan Zhang 089; Jie Zheng 002 (BIBM, 2013)

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways. - Fan Zhang 089; Chee Keong Kwoh 001; Min Wu 008; Jie Zheng 002 (BCB, 2014)

Detecting temporal protein complexes from dynamic protein-protein interaction networks. - Le Ou-Yang; Dao-Qing Dai; Xiaoli Li 001; Min Wu 008; Xiao-Fei Zhang; Peng Yang (BMC Bioinform., 2014)

LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms. - Peng Yang 010; Min Wu 008; Jing Guo; Chee Keong Kwoh 001; Teresa M. Przytycka; Jie Zheng 002 (BMC Bioinform., 2014)

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. - Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Jie Zheng 002 (BMC Syst. Biol., 2014)

Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee. - Jianneng Cao; Yongluan Zhou; Min Wu 008 (DASFAA (1), 2015)

Modeling perceived stress via HRV and accelerometer sensor streams. - Min Wu 008; Hong Cao; Hai-Long Nguyen; Karl Surmacz; Caroline Hargrove (EMBC, 2015)

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. - Peilin Zhao; Furen Zhuang; Min Wu 008; Xiaoli Li 001; Steven C. H. Hoi (ICDM, 2015)

Active learning for accurate analysis of streaming partial discharge data. - Hai-Long Nguyen; João Bártolo Gomes; Min Wu 008; Hong Cao; Jianneng Cao; Shonali Krishnaswamy (ICPHM, 2015)

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. - Fan Zhang 089; Min Wu 008; Xuejuan Li; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (J. Bioinform. Comput. Biol., 2015)

Semantic proximity search on graphs with metagraph-based learning. - Yuan Fang 001; Wenqing Lin; Vincent Wenchen Zheng; Min Wu 008; Kevin Chen-Chuan Chang; Xiaoli Li 001 (ICDE, 2016)

A Novel Classifier - Weighted Features Cost-Sensitive SVM. - Ding Cheng; Min Wu 008 (iThings/GreenCom/CPSCom/SmartData, 2016)

Repeat Buyer Prediction for E-Commerce. - Guimei Liu; Tam T. Nguyen; Gang Zhao; Wei Zha; Jianbo Yang; Jianneng Cao; Min Wu 008; Peilin Zhao; Wei Chen (KDD, 2016)

Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments. - João Bártolo Gomes; Hai-Long Nguyen; Min Wu 008; Jianneng Cao; Shonali Krishnaswamy (MDM (Workshops), 2016)

Drug-target interaction prediction via class imbalance-aware ensemble learning. - Ali Ezzat; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (BMC Bioinform., 2016)

A two-layer integration framework for protein complex detection. - Le Ou-Yang; Min Wu 008; Xiao-Fei Zhang; Dao-Qing Dai; Xiaoli Li 001; Hong Yan 001 (BMC Bioinform., 2016)

Learning Optimal Social Dependency for Recommendation. - Yong Liu 020; Peilin Zhao; Xin Liu 027; Min Wu 008; Xiaoli Li 001 (CoRR, 2016)

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. - Yong Liu 020; Min Wu 008; Chunyan Miao; Peilin Zhao; Xiaoli Li 001 (PLoS Comput. Biol., 2016)

Learning User Dependencies for Recommendation. - Yong Liu 020; Peilin Zhao; Xin Liu 027; Min Wu 008; Lixin Duan; Xiaoli Li 001 (IJCAI, 2017)

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. - Ali Ezzat; Peilin Zhao; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores. - Min Wu 008; Le Ou-Yang; Xiaoli Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. - Zhenghua Chen; Min Wu 008; Jiyan Wu; Jie Ding 007; Zeng Zeng; Karl Surmacz; Xiaoli Li 001 (BHI, 2019)

Online Collaborative Filtering with Implicit Feedback. - Jianwen Yin; Chenghao Liu; Jundong Li; Bing Tian Dai; Yun-chen Chen; Min Wu 008; Jianling Sun (DASFAA (2), 2019)

Mobile Robot Routing with Energy Consumption Optimization. - Shudong Liu 003; Xiaoli Li 001; Shili Xiang; Min Wu 008 (ICRAI, 2019)

Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. - Ali Ezzat; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2019)

Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization. - Jiang Huang; Min Wu 008; Fan Lu; Le Ou-Yang; Zexuan Zhu (BMC Bioinform., 2019)

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. - Chaofan Tao; Fengmao Lv; Lixin Duan; Min Wu 008 (CoRR, 2019)

Adaptive Cost-Sensitive Online Classification. - Peilin Zhao; Yifan Zhang 004; Min Wu 008; Steven C. H. Hoi; Mingkui Tan; Junzhou Huang (IEEE Trans. Knowl. Data Eng., 2019)

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. - Yahui Long; Yu Zhang 084; Min Wu 008; Shaoliang Peng; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (BIBM, 2020)

Deep learning with long short-term memory networks for classification of dementia related travel patterns. - Nhu Khue Vuong; Yong Liu 020; Syin Chan; Chiew Tong Lau; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (EMBC, 2020)

Mahalanobis Distance Based Adversarial Network for Anomaly Detection. - Yubo Hou; Zhenghua Chen; Min Wu 008; Chuan-Sheng Foo; Xiaoli Li 001; Raed M. Shubair (ICASSP, 2020)

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ICPHM, 2020)

Predicting Surface Roughness and Flank Wear in Turning Processes. - Nhu Khue Vuong; Yang Xue; Shudong Liu 003; Yu Zhou; Min Wu 008 (ICPHM, 2020)

Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. - Ruichu Cai; Xuexin Chen; Yuan Fang 001; Min Wu 008; Yuexing Hao; Jonathan D. Wren (Bioinform., 2020)

Ensembling graph attention networks for human microbe-drug association prediction. - Yahui Long; Min Wu 008; Yong Liu 020; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Predicting human microbe-drug associations via graph convolutional network with conditional random field. - Yahui Long; Min Wu 008; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. - Zi-Chao Zhang 001; Xiao-Fei Zhang; Min Wu 008; Le Ou-Yang; Xing-Ming Zhao; Xiaoli Li 001 (Bioinform., 2020)

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (CoRR, 2020)

SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. - Yong Liu 020; Min Wu 008; Chenghao Liu; Xiaoli Li 001; Jie Zheng 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. - Zhenghua Chen; Chaoyang Jiang; Shili Xiang; Jie Ding 007; Min Wu 008; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2020)

Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. - Nhu Khue Vuong; Yong Liu 020; Syin Chan; Chiew Tong Lau; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (Generalization with Deep Learning, 2021)

Two-Stream Convolution Augmented Transformer for Human Activity Recognition. - Bing Li 002; Wei Cui 002; Wei Wang 011; Le Zhang 001; Zhenghua Chen; Min Wu 008 (AAAI, 2021)

Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network. - Mincai Lai; Guangyao Chen; Haochen Yang 002; Jingkang Yang; Zhihao Jiang; Min Wu 008; Jie Zheng 002 (EMBC, 2021)

Time-Series Representation Learning via Temporal and Contextual Contrasting. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IJCAI, 2021)

Deep Reinforcement Learning Boosted Partial Domain Adaptation. - Keyu Wu 002; Min Wu 008; Jianfei Yang; Zhenghua Chen; Zhengguo Li; Xiaoli Li 001 (IJCAI, 2021)

Recent advances in network-based methods for disease gene prediction. - Sezin Kircali Ata; Min Wu 008; Yuan Fang 001; Le Ou-Yang; Chee Keong Kwoh 001; Xiaoli Li 001 (Briefings Bioinform., 2021)

Graph contextualized attention network for predicting synthetic lethality in human cancers. - Yahui Long; Min Wu 008; Yong Liu 020; Jie Zheng 002; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2021)

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers. - Shike Wang; Fan Xu; Yunyang Li; Jie Wang; Ke Zhang; Yong Liu 020; Min Wu 008; Jie Zheng 002 (Bioinform., 2021)

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (CoRR, 2021)

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Rui Zhao 004; Zhenghua Chen (CoRR, 2021)

Deep learning for human activity recognition. - Xiaoli Li 001; Peilin Zhao; Min Wu 008; Zhenghua Chen; Le Zhang 001 (Neurocomputing, 2021)

Attention-based sequence to sequence model for machine remaining useful life prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (Neurocomputing, 2021)

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. - Zhenghua Chen; Min Wu 008; Kaizhou Gao; Jiyan Wu; Jie Ding 007; Zeng Zeng; Xiaoli Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. - Zhenghua Chen; Min Wu 008; Rui Zhao 004; Feri Guretno; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Electron., 2021)

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chuan Sheng Foo; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Informatics, 2021)

Adversarial Multiple-Target Domain Adaptation for Fault Classification. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Haoliang Li; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2021)

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. - Jiyan Wu; Min Wu 008; Zhenghua Chen; Xiaoli Li 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2021)

An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. - Zhenghua Chen; Min Wu 008; Wei Cui 002; Chengyu Liu 001; Xiaoli Li 001 (IEEE J. Biomed. Health Informatics, 2021)

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. - Zhifeng Hao; Di Wu; Yuan Fang 001; Min Wu 008; Ruichu Cai; Xiaoli Li 001 (IEEE J. Biomed. Health Informatics, 2021)

Multi-View Collaborative Network Embedding. - Sezin Kircali Ata; Yuan Fang 001; Min Wu 008; Jiaqi Shi; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2021)

Metagraph-Based Learning on Heterogeneous Graphs. - Yuan Fang 001; Wenqing Lin; Vincent W. Zheng; Min Wu 008; Jiaqi Shi; Kevin Chen-Chuan Chang; Xiaoli Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. - Keyu Wu 002; Min Wu 008; Zhenghua Chen; Yuecong Xu; Xiaoli Li 001 (AAAI, 2022)

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhenghua Chen (ECCV (34), 2022)

Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel Blackburn; Ptolemaios G. Sarrigiannis (EMBC, 2022)

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks. - Bing Li 002; Wei Cui 002; Yanru Chen; Joey Tianyi Zhou; Zhenghua Chen; Yuli Li; Min Wu 008 (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders. - Pedro Henrique da Costa Avelar; Roman Laddach; Sophia Karagiannis; Min Wu 008; Sophia Tsoka (LOD (2), 2022)

Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey. - Le Ou-Yang; Fan Lu; Zi-Chao Zhang 001; Min Wu 008 (Briefings Bioinform., 2022)

SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery. - Jie Wang; Min Wu 008; Xuhui Huang; Li Wang; Sophia Zhang; Hui Liu 026; Jie Zheng 002 (Database J. Biol. Databases Curation, 2022)

Pre-training graph neural networks for link prediction in biomedical networks. - Yahui Long; Min Wu 008; Yong Liu 020; Yuan Fang 001; Chee Keong Kwoh 001; Jinmiao Chen; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2022)

NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers. - Shike Wang; Yimiao Feng; Xin Liu 027; Yong Liu 020; Min Wu 008; Jie Zheng 002 (Bioinform., 2022)

Learning Temporal Consistency for Source-Free Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhenghua Chen (CoRR, 2022)

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. - Zhenghua Chen; Min Wu 008; Alvin Chan; Xiaoli Li 001; Yew-Soon Ong (CoRR, 2022)

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2022)

Self-Optimizing Feature Transformation. - Meng Xiao 001; Dongjie Wang; Yanjie Fu; Kunpeng Liu 001; Min Wu 008; Hui Xiong 001; Yuanchun Zhou (CoRR, 2022)

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. - Manas Gupta; Efe Camci; Vishandi Rudy Keneta; Abhishek Vaidyanathan; Ritwik Kanodia; Chuan-Sheng Foo; Min Wu 008; Jie Lin 001 (CoRR, 2022)

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. - Ruibing Jin; Min Wu 008; Keyu Wu 002; Kaizhou Gao; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2022)

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. - Qing Xu 015; Zhenghua Chen; Mohamed Ragab 002; Chao Wang 003; Min Wu 008; Xiaoli Li 001 (Neurocomputing, 2022)

Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications. - Yang Yang 080; Chao Wang 003; Lei Gong; Min Wu 008; Xuehai Zhou (Neurocomputing, 2022)

Significance of activation functions in developing an online classifier for semiconductor defect detection. - Md Meftahul Ferdaus; Bangjian Zhou; Ji Wei Yoon; Kain Lu Low; Jieming Pan; Joydeep Ghosh; Min Wu 008; Xiaoli Li 001; Aaron Voon-Yew Thean; J. Senthilnath 001 (Knowl. Based Syst., 2022)

QLP: Deep Q-Learning for Pruning Deep Neural Networks. - Efe Camci; Manas Gupta; Min Wu 008; Jie Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. - Xiaoli Li 001; Huanhuan Chen; Thomas Ploetz; Min Wu 008; Zhenghua Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. - Qing Xu 015; Zhenghua Chen; Keyu Wu 002; Chao Wang 003; Min Wu 008; Xiaoli Li 001 (IEEE Trans. Ind. Electron., 2022)

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Zhenghua Chen; Keyu Wu 002; Min Wu 008; Xiaoli Li 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2022)

Conditional Contrastive Domain Generalization for Fault Diagnosis. - Mohamed Ragab 002; Zhenghua Chen; Wenyu Zhang 003; Emadeldeen Eldele; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2022)

Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. - Dominik Klepl; Fei He 002; Min Wu 008; Matteo De Marco; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (IEEE J. Biomed. Health Informatics, 2022)

mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. - Wentao Zhang; Yuan Fang 001; Zemin Liu; Min Wu 008; Xinming Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. - Wei Cui 002; Le Zhang 001; Bing Li 002; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Jiawen Kang 001 (IEEE Trans. Veh. Technol., 2022)

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Lihua Xie 001 (AAAI, 2023)

GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. - Bing-Xue Du; Haoyang Yu; Bei Zhu; Yahui Long; Min Wu 008; Jian-Yu Shi (BIBM, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Min Wu 008; Xiaoli Li 001; Weisi Lin (ICCV, 2023)

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Yunjiao Zhou; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (ICCV, 2023)

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Pengfei Wang 008; Yuanchun Zhou; Yanjie Fu (ICDM, 2023)

Metagrad: Adaptive Gradient Quantization with Hypernetworks. - Kaixin Xu; Alina Hui Xiu Lee; Ziyuan Zhao; Zhe Wang 019; Min Wu 008; Weisi Lin (ICIP, 2023)

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (IJCAI, 2023)

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Min Wu 008; Chuan-Sheng Foo; Xiaoli Li 001; Zhenghua Chen (KDD, 2023)

Estimating Propensity for Causality-based Recommendation without Exposure Data. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (NeurIPS, 2023)

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. - Dongjie Wang; Meng Xiao 001; Min Wu 008; Pengfei Wang 008; Yuanchun Zhou; Yanjie Fu (NeurIPS, 2023)

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Ziyue Qiao; Pengfei Wang 008; Kunpeng Liu 001; Yuanchun Zhou; Yanjie Fu (SDM, 2023)

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. - Ke Zhang; Min Wu 008; Yong Liu 020; Yimiao Feng; Jie Zheng 002 (Bioinform., 2023)

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (CoRR, 2023)

Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders. - Pedro Henrique da Costa Avelar; Min Wu 008; Sophia Tsoka (CoRR, 2023)

Unlimited Knowledge Distillation for Action Recognition in the Dark. - Ruibing Jin; Guosheng Lin; Min Wu 008; Jie Lin 001; Zhengguo Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Jie Lin 001; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2023)

Graph Contextual Contrasting for Multivariate Time Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

Graph Neural Network-based EEG Classification: A Survey. - Dominik Klepl; Min Wu 008; Fei He 002 (CoRR, 2023)

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. - Qing Xu 015; Min Wu 008; Edwin Khoo; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2023)

Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network. - Xinyu Liu 006; Xiren Miao; Hao Jiang 008; Jing Chen 022; Min Wu 008; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2023)

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Wee Ling Tan; Chuan-Sheng Foo; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2023)

Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. - Yong Liu 020; Susen Yang; Yonghui Xu; Chunyan Miao; Min Wu 008; Juyong Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (ACM Trans. Inf. Syst., 2023)

A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. - Devki Nandan Jha; Zhenghua Chen; Shudong Liu 003; Min Wu 008; Jiahan Zhang; Graham Morgan; Rajiv Ranjan 001; Xiaoli Li 001 (IEEE Trans. Sustain. Comput., 2023)

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition. - Hongxiang Gao; Min Wu 008; Zhenghua Chen; Yuwen Li 002; Xingyao Wang 001; Shan An; Jianqing Li 002; Chengyu Liu 001 (Neural Networks, 2023)

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Privacy-Preserving Cross-Environment Human Activity Recognition. - Le Zhang 001; Wei Cui 002; Bing Li 002; Zhenghua Chen; Min Wu 008; Sin Gee Teo (IEEE Trans. Cybern., 2023)

Feature selection and domain adaptation for cross-machine product quality prediction. - Yu Wang; Wei Cui 002; Nhu Khue Vuong; Zhenghua Chen; Yu Zhou; Min Wu 008 (J. Intell. Manuf., 2023)

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. - Zhenghua Chen; Min Wu 008; Alvin Chan; Xiaoli Li 001; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2023)

Reinforced Adaptation Network for Partial Domain Adaptation. - Keyu Wu 002; Min Wu 008; Zhenghua Chen; Ruibing Jin; Wei Cui 002; Zhiguang Cao; Xiaoli Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks. - Youlin Zhan; Jiahan Liu; Min Wu 008; Chris Soon Heng Tan; Xiaoli Li 001; Le Ou-Yang (Comput. Biol. Medicine, 2023)

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. - Bing-Xue Du; Yahui Long; Xiaoli Li 001; Min Wu 008; Jian-Yu Shi (Bioinform., 2023)

Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhengguo Li; Zhenghua Chen (IEEE Trans. Circuits Syst. Video Technol., 2023)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. - Hongxiang Gao; Xingyao Wang 001; Zhenghua Chen; Min Wu 008; Jianqing Li 002; Chengyu Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Dual-View Preference Learning for Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

Graph-Aware Contrasting for Multivariate Time-Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability. - Pedro Henrique da Costa Avelar; Le Ou-Yang; Min Wu 008; Sophia Tsoka (BIBM, 2024)

GeneSum: Large Language Model-based Gene Summary Extraction. - Zhijian Chen; Chuan Hu; Min Wu 008; Qingqing Long; Xuezhi Wang 004; Yuanchun Zhou; Meng Xiao 001 (BIBM, 2024)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers. - Kaixin Xu; Zhe Wang 019; Chunyun Chen; Xue Geng; Jie Lin 001; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (ECCV (71), 2024)

Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval. - Stephan Goerttler; Fei He 002; Min Wu 008 (EMBC, 2024)

Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. - Stephan Goerttler; Fei He 002; Min Wu 008 (EMBC, 2024)

Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification. - Xiaohao Lin; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Han Wei Ng; Cuntai Guan (EMBC, 2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations. - Zichuan Liu; Yingying Zhang; Tianchun Wang; Zefan Wang; Dongsheng Luo; Mengnan Du; Min Wu 008; Yi Wang 022; Chunlin Chen; Lunting Fan; Qingsong Wen (ICLR, 2024)

TSLANet: Rethinking Transformers for Time Series Representation Learning. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (ICML, 2024)

Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming. - Lorenzo Orecchia; Jiawei Hu; Xue He; Wang Mark; Xulei Yang; Min Wu 008; Xue Geng (NeurIPS, 2024)

Reinforced Cross-Domain Knowledge Distillation on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (NeurIPS, 2024)

Global and Compact Video Context Embedding for Video Semantic Segmentation. - Lei Sun 009; Yun Liu 011; Guolei Sun; Min Wu 008; Zhijie Xu; Kaiwei Wang; Luc Van Gool (IEEE Access, 2024)

CLigOpt: controllable ligand design through target-specific optimization. - Yutong Li 006; Pedro Henrique da Costa Avelar; Xinyue Chen; Li Zhang; Min Wu 008; Sophia Tsoka (Bioinform., 2024)

Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. - J. Senthilnath 001; Adithya Bhattiprolu; Ankur Singh; Bangjian Zhou; Min Wu 008; Jón Atli Benediktsson; Xiaoli Li 001 (CoRR, 2024)

Self-evolving Autoencoder Embedded Q-Network. - J. Senthilnath 001; Bangjian Zhou; Zhen Wei Ng; Deeksha Aggarwal; Rajdeep Dutta; Ji Wei Yoon; Aye Phyu Phyu Aung; Keyu Wu 002; Min Wu 008; Xiaoli Li 001 (CoRR, 2024)

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. - Yucheng Wang 001; Ruibing Jin; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. - Zhihao Wen; Yuan Fang 001; Pengcheng Wei; Fayao Liu; Zhenghua Chen; Min Wu 008 (CoRR, 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Mohamed Ragab 002; Peiliang Gong; Emadeldeen Eldele; Wenyu Zhang 003; Min Wu 008; Chuan-Sheng Foo; Daoqiang Zhang; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. - Weiliang Zhang; Zhen Meng; Dongjie Wang; Min Wu 008; Kunpeng Liu 001; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. - Ruibing Jin; Qing Xu 015; Min Wu 008; Yuecong Xu; Dan Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. - Kaixin Xu; Qingtian Feng; Hao Chen; Zhe Wang 019; Xue Geng; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2024)

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. - Edward; Mohamed Ragab 002; Min Wu 008; Yuecong Xu; Zhenghua Chen; Abdulla Alseiari; Xiaoli Li 001 (CoRR, 2024)

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. - Yucheng Wang 001; Peiliang Gong; Min Wu 008; Felix Ott 001; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. - Yanru Sun; Zongxia Xie; Emadeldeen Eldele; Dongyue Chen; Qinghua Hu; Min Wu 008 (CoRR, 2024)

WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition. - Wei Cui 002; Keyu Wu 002; Min Wu 008; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. - Ziyan Wang; Mohamed Ragab 002; Wenmian Yang; Min Wu 008; Sinno Jialin Pan; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (Trans. Mach. Learn. Res., 2024)

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection. - Xinyu Liu 006; Xiren Miao; Hao Jiang 008; Jing Chen 022; Min Wu 008; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Self-Supervised Autoregressive Domain Adaptation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Duo Zhou; Min Wu 008; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Artif. Intell., 2024)

Revisiting Computer-Aided Tuberculosis Diagnosis. - Yun Liu 011; Yu-Huan Wu; Shi-Chen Zhang; Li Liu 002; Min Wu 008; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Kunpeng Liu 001; Hui Xiong 001; Yuanchun Zhou; Yanjie Fu (ACM Trans. Knowl. Discov. Data, 2024)

WiSR: Wireless Domain Generalization Based on Style Randomization. - Shijia Liu; Zhenghua Chen; Min Wu 008; Chang Liu 087; Liangyin Chen (IEEE Trans. Mob. Comput., 2024)

Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains. - Shijia Liu; Zhenghua Chen; Min Wu 008; Hao Wang 034; Bin Xing; Liangyin Chen (IEEE Trans. Mob. Comput., 2024)

PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station. - Cunyi Yin; Xiren Miao; Jing Chen 022; Hao Jiang 008; Jianfei Yang; Yunjiao Zhou; Min Wu 008; Zhenghua Chen (IEEE Internet Things J., 2024)

Reinforced Knowledge Distillation for Time Series Regression. - Qing Xu 015; Keyu Wu 002; Min Wu 008; Kezhi Mao; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. - Keyu Wu 002; Shengkai Chen; Min Wu 008; Shili Xiang; Ruibing Jin; Yuecong Xu; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Learning Local and Global Temporal Contexts for Video Semantic Segmentation. - Guolei Sun; Yun Liu 011; Henghui Ding; Min Wu 008; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. - Hongxiang Gao; Xingyao Wang 001; Zhenghua Chen; Min Wu 008; Zhipeng Cai 002; Lulu Zhao; Jianqing Li 002; Chengyu Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

Motif Graph Neural Network. - Xuexin Chen; Ruichu Cai; Yuan Fang 001; Min Wu 008; Zijian Li 001; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Label-Efficient Time Series Representation Learning: A Review. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiao-Li Li 001 (IEEE Trans. Artif. Intell., 2024)

Democratizing Federated WiFi-Based Human Activity Recognition Using Hypothesis Transfer. - Bing Li 002; Wei Cui 002; Le Zhang 001; Qi Yang; Min Wu 008; Joey Tianyi Zhou (IEEE Trans. Mob. Comput., 2024)

Enhancing EEG-based Covert Speech Decoding through Knowledge Transfer. - Zhiwei Guo; Muyun Jiang; Chenyu Liu; Min Wu 008; Jia Lu; Balázs Gulyás; Cuntai Guan (ICASSP, 2025)

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. - Tianqi He; Xiaohan Huang 003; Yi Du; Qingqing Long; Ziyue Qiao; Min Wu 008; Yanjie Fu; Yuanchun Zhou; Meng Xiao 001 (ICDE, 2025)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. - Zhaochong An; Guolei Sun; Yun Liu 011; Runjia Li; Min Wu 008; Ming-Ming Cheng; Ender Konukoglu; Serge J. Belongie (ICLR, 2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Peiliang Gong; Mohamed Ragab 002; Min Wu 008; Zhenghua Chen; Yongyi Su; Xiaoli Li 001; Daoqiang Zhang (KDD (1), 2025)

The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. - Ming Jin 005; Mahsa Salehi; Yuxuan Liang; Dongjin Song; Flora Salim; Min Wu 008; Shirui Pan; Qingsong Wen (WWW (Companion Volume), 2025)

Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers. - Xuexin Chen; Ruichu Cai; Zhengting Huang; Zijian Li 001; Jie Zheng 002; Min Wu 008 (Briefings Bioinform., 2025)

On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. - Ruichu Cai; Yuxuan Zhu 001; Xuexin Chen; Yuan Fang 001; Min Wu 008; Jie Qiao; Zhifeng Hao (Neural Networks, 2025)

RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces. - Zhen Lan; Zixing Li; Chao Yan; Xiaojia Xiang; Dengqing Tang; Min Wu 008; Zhenghua Chen (Neural Networks, 2025)

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition. - Dongyuan Tian; Yucheng Wang 001; Peiliang Gong; Zhewen Xu; Zhenghua Chen; Xiaohui Wei; Min Wu 008 (Neural Networks, 2025)

C2T-HR3D: Cross-Fusion of CNN and Transformer for High-Speed Railway Dropper Defect Detection. - Jin He; Fengmao Lv; Jun Liu 046; Min Wu 008; Badong Chen; Shiping Wang (IEEE Trans. Instrum. Meas., 2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. - Yubo Hou; Mohamed Ragab 002; Yucheng Wang 001; Min Wu 008; Abdulla Alseiari; Chee Keong Kwoh 001; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2025)

Towards Open-Vocabulary Video Semantic Segmentation. - Xinhao Li; Yun Liu 011; Guolei Sun; Min Wu 008; Le Zhang 001; Ce Zhu (IEEE Trans. Multim., 2025)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. - Stephan Goerttler; Yucheng Wang 001; Emadeldeen Eldele; Min Wu 008; Fei He 002 (CoRR, 2025)

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective. - Meng Xiao 001; Weiliang Zhang; Xiaohan Huang 003; Hengshu Zhu; Min Wu 008; Xiaoli Li 001; Yuanchun Zhou (CoRR, 2025)

Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors. - Yang Yang 080; Chao Wang 003; Lei Gong; Min Wu 008; Zhenghua Chen; Xiang Li; Xianglan Chen; Xuehai Zhou (IEEE Trans. Artif. Intell., 2025)

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. - Yucheng Wang 001; Min Wu 008; Ruibing Jin; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism. - Ruichu Cai; Junxian Huang 002; Zhenhui Yang; Zijian Li 001; Emadeldeen Eldele; Min Wu 008; Fuchun Sun (CoRR, 2025)

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. - Meng Xiao 001; Min Wu 008; Ziyue Qiao; Yanjie Fu; Zhiyuan Ning; Yi Du; Yuanchun Zhou (ACM Trans. Knowl. Discov. Data, 2025)

UniFault: A Fault Diagnosis Foundation Model from Bearing Data. - Emadeldeen Eldele; Mohamed Ragab 002; Xu Qing; Edward; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Jay Lee (CoRR, 2025)

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. - Peiliang Gong; Emadeldeen Eldele; Min Wu 008; Zhenghua Chen; Xiao-Li Li 001; Daoqiang Zhang (CoRR, 2025)

Subset-Contrastive Multi-Omics Network Embedding. - Pedro Henrique da Costa Avelar; Min Wu 008; Sophia Tsoka (CoRR, 2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Yi Du; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

Learning Soft Sparse Shapes for Efficient Time-Series Classification. - Zhen Liu; Yicheng Luo; Boyuan Li; Emadeldeen Eldele; Min Wu 008; Qianli Ma (CoRR, 2025)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. - Peiliang Gong; Yucheng Wang 001; Min Wu 008; Zhenghua Chen; Xiaoli Li 001; Daoqiang Zhang (CoRR, 2025)

Uncertainty-Aware Self-Knowledge Distillation. - Yang Yang 080; Chao Wang 003; Lei Gong; Min Wu 008; Zhenghua Chen; Yingxue Gao; Teng Wang; Xuehai Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)

A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification. - Wenmian Yang; Lizhi Cheng; Mohamed Ragab 002; Min Wu 008; Sinno Jialin Pan; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. - Yanru Sun; Emadeldeen Eldele; Zongxia Xie; Yucheng Wang 001; Wenzhe Niu; Qinghua Hu; Chee Keong Kwoh 001; Min Wu 008 (CoRR, 2025)

Soft graph clustering for single-cell RNA sequencing data. - Ping Xu; Pengfei Wang 008; Zhiyuan Ning; Meng Xiao 001; Min Wu 008; Yuanchun Zhou (BMC Bioinform., 2025)