Publications

2024

1. TSLANet: Rethinking Transformers for Time Series Representation Learning

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu and Xiao-Li Li

The 41st International Conference on Machine Learning (ICML 2024) [Acceptance rate: 2609/9473=27.5%]

2. Learning Local and Global Temporal Contexts for Video Semantic Segmentation

Guolei Sun, Yun Liu, Henghui Ding, Min Wu and Luc Van Gool 

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [Impact Factor 2022: 23.6]

3. Graph Neural Network-based EEG Classification: A Survey

Dominik Klepl, Min Wu* and Fei He*

IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE). [Impact Factor 2022: 4.9]

4. From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, 

Zhenghua Chen, Mohamed Sabry Aly, Jie Lin*, Min Wu* and Xiao-Li Li*

IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [Impact Factor 2022: 10.4]

5. Reinforced Reweighting for Self-supervised Partial Domain Adaptation

Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiao-Li Li and Zhenghua Chen

IEEE Transactions on Artificial Intelligence (TAI).

6. WiCAU: Comprehensive Partial Adaptation with Uncertainty-aware for WiFi-based Cross-environment Activity Recognition

Wei Cui, Keyu Wu, Min Wu, Xiao-Li Li and Zhenghua Chen

IEEE Transactions on Instrumentation and Measurement (TIM). [Impact Factor 2022: 5.6]  

7. Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou and Yanjie Fu 

ACM Transactions on Knowledge Discovery from Data (TKDD). [Impact Factor 2022: 4.4]

8. Optimized Demodulation of Highly Overlapped FBG Sensor Networks using Two-Stage Deep Learning Approach

Pan Liu, Zhaowen Xu, Yixin Wang, Lianlian Jiang and Min Wu*

Optical Engineering. Supported by the Project under CoT Program "Open & Generic Wireless Structural Health Monitoring System". 

9. Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation

Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiao-Li Li, Lihua Xie and Zhenghua Chen 

Transactions on Machine Learning Research (TMLR).

10. PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station

Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu and Zhenghua Chen

IEEE Internet of Things Journal (IEEE IoT-J). [Impact Factor 2022: 10.6]

11. 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 and Jie Lin

2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024).

12. Balancing Spectral, Temporal and Spatial Information for EEG-Based Alzheimer’s Disease Classification

Stephan Goerttler, Fei He and Min Wu

46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2024)

13. Stochastic Graph Heat Modelling for Diffusion-Based Connectivity Retrieval

Stephan Goerttler, Fei He and Min Wu

46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2024)

14. Bi-Hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification

Xiaohao Lin, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Han Wei Ng and Cuntai Guan

46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2024)

15. Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, 

Lunting Fan and Qingsong Wen

The Twelfth International Conference on Learning Representations (ICLR 2024). [Acceptance rate: 31%]

16. Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiao-Li Li, Lihua Xie and Zhenghua Chen 

The 38th AAAI Conference on Artificial Intelligence (AAAI 2024). [Acceptance rate: 2342/9862=23.75%]

17. Graph-Aware Contrasting for Multivariate Time Series Classification

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiao-Li Li, Lihua Xie and Zhenghua Chen 

The 38th AAAI Conference on Artificial Intelligence (AAAI 2024). [Acceptance rate: 2342/9862=23.75%]

2023

1. Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu*, Chee Keong Kwoh, Xiao-Li Li and Cuntai Guan

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [Impact Factor 2022: 23.6]

2. Revisiting Computer-Aided Tuberculosis Diagnosis

Yun Liu, Yuhuan Wu, Shichen Zhang, Li Liu, Min Wu and Ming-Ming Cheng 

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [Impact Factor 2022: 23.6]

3. Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou and Yanjie Fu 

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023). [Spotlight Paper]

4. Estimating Propensity for Causality-based Recommendation without Exposure Data

Zhongzhou Liu, Yuan Fang and Min Wu 

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023). [Acceptance rate: 26.1%]

5. Dual-View Preference Learning for Adaptive Recommendation

Zhongzhou Liu, Yuan Fang* and Min Wu*  

IEEE Transactions on Knowledge and Data Engineering (TKDE). [Impact Factor 2022: 8.9]

6. Motif Graph Neural Network

Xuexin Chen, Ruichu Cai*, Yuan Fang*, Min Wu*, Zijian Li and Zhifeng Hao

IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [Code] [Impact Factor 2022: 10.4]

7. Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction

Yucheng Wang, Min Wu, Ruibing Jin, Xiao-Li Li, Lihua Xie and Zhenghua Chen

IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [Impact Factor 2022: 10.4]

8. Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

Yahui Long, Kok Siong Ang, Mengwei Li, Kian Long Kelvin Chong, Raman Sethi, Chengwei Zhong, Hang Xu, Zhiwei Ong, Karishma Sachaphibulkij, Ao Chen, Zeng Li, Huazhu Fu, Min Wu, Hsiu Kim Lina Lim, Longqi Liu and Jinmiao Chen

Nature Communications. [Impact Factor 2022: 16.6]

9. A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges

Zhenghua Chen, Min Wu, Alvin Chan, Xiao-Li Li and Yew Soon Ong

IEEE Computational Intelligence Magazine. [Impact Factor 2022: 9.0]

10. Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data 

Qing Xu, Min Wu, Xiao-Li Li, Kezhi Mao and Zhenghua Chen

The 32th International Joint Conference on Artificial Intelligence (IJCAI 2023) [Acceptance rate: 15%]

11. Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection

Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou and Yanjie Fu 

The 23rd IEEE International Conference on Data Mining (ICDM 2023). [Regular Paper Acceptance rate: 94/1003=9.37%]

12. Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan Sheng Foo, Xiao-Li Li and Zhenghua Chen

The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) [Acceptance rate: 313/1416=22.1%]

13. Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiao-Li Li and Weisi Lin

International Conference on Computer Vision (ICCV 2023).

14. Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptations

Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu and Xiao-Li Li

International Conference on Computer Vision (ICCV 2023).

15. KR4SL: Knowledge Graph Reasoning for Explainable Prediction of Snthetic Lethality

Ke Zhang, Min Wu, Yong Liu, Yimiao Feng and Jie Zheng 

The 31st Conference on Intelligent Systems for Molecular Biology and 22nd European Conference on Computational Biology (ISMB/ECCB 2023).

Bioinformatics. [Code] [Impact Factor 2022: 5.8] 

16. CMMS-GCL: Cross-Modality Metabolic Stability Prediction with Graph Contrastive Learning

Bingxue Du, Yahui Long, Xiao-Li Li, Min Wu* and Jianyu Shi*

Bioinformatics. [Code] [Impact Factor 2022: 5.8] 

17. ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li and Chengyu Liu

IEEE Journal of Biomedical and Health Informatics (J-BHI). [Impact Factor 2022: 7.7]

18. Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data

Dominik Klepl, Fei He*, Min Wu*, Daniel J Blackburn and Ptolemaios Sarrigiannis

IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE). [Impact Factor 2022: 4.9]

19. Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu*, Chee-Keong Kwoh and Xiao-Li Li

IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE). [Code] [Impact Factor 2021: 4.528]

20. Contrastive Domain Adaptation for Time-Series via Temporal Mixup

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu*, Chee Keong Kwoh and Xiao-Li Li

IEEE Transactions on Artificial Intelligence (TAI).

21. Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network

Yucheng Wang, Min Wu, Xiao-Li Li, Lihua Xie and Zhenghua Chen

IEEE Transactions on Artificial Intelligence (TAI).

22. Reinforced Knowledge Distillation for Time Series Regression 

Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiao-Li Li and Zhenghua Chen

IEEE Transactions on Artificial Intelligence (TAI).

23. Contrastive Distillation with Regularized Knowledge for Deep Model Compression on Sensor-based Human Activity Recognition 

Qing Xu, Min Wu, Xiao-Li Li, Kezhi Mao and Zhenghua Chen

IEEE Transactions on Industrial Cyber-Physical Systems (TICPS).

24. Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains

Shijia Liu, Zhenghua Chen, Min Wu, Hao Wang, Bin Xing and Liangyin Chen

IEEE Transactions on Mobile Computing (TMC). [Impact Factor 2021: 6.075]

25. WiSR: Wireless Domain Generalization Based on Style Randomization

Shijia Liu, Zhenghua Chen, Min Wu, Chang Liu and Liangyin Chen

IEEE Transactions on Mobile Computing (TMC). [Impact Factor 2021: 6.075]

26. An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction

Ruibing Jin, Duo Zhou, Min Wu, Xiao-Li Li and Zhenghua Chen

IEEE Transactions on Industrial Informatics (TII). [Impact Factor 2021: 11.648]

27. Tower Masking MIM: A Self-supervised Pretraining Method for Power Line Inspection

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu and Zhenghua Chen

IEEE Transactions on Industrial Informatics (TII). [Impact Factor 2021: 11.648]

28. ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data  

Mohamed Ragab, Emadeldeen Eldele, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee-Keong Kwoh and Xiao-Li Li  

ACM Transactions on Knowledge Discovery from Data (TKDD). [Code] [Impact Factor: 4.157]

29. A Partially Shared Joint Clustering Framework for Detecting Protein Complexes from Multiple State-specific Signed Interaction Networks

Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiao-Li Li and Le Ou-Yang

Computers in Biology and Medicine. [Impact Factor 2021: 6.698]

30. Cross-Frequency Multilayer Network Analysis with Bispectrum-based Functional Connectivity: A Study of Alzheimer’s Disease

Dominik Klepl, Fei He, Min Wu, Daniel J Blackburn and Ptolemaios Sarrigiannis

Neuroscience. [Impact Factor 2021: 3.708]

31. DP-IINK: A Framework for Drift Prediction with Inter and Intra Node Knowledge Transfer with Less Data

Yu Zhang, Tanaya Chaudhuri, Pan Liu, Lu Wang, Min Wu* and Xiao-Li Li

IEEE Sensors Journal. [Impact Factor 2021: 4.325]

32. Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment Network

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li and Zhenghua Chen

IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). [Impact Factor 2021: 5.859]

33. Mathematical Optimisation of Extruded Mixed Plant Protein-based Meat Analogues based on Amino Acid Compositions

Xin Yi Hua, Yushen Long, Dayna Shu Min Ong, Alicia Hui Ping Theng, Jing K. Shi, Raffael Osen, Min Wu* and Jie Hong Chiang*

Current Research in Food Science. Supported by IAF-PP program "Future Foods: Alternative Proteins".

34. Predicting the Textural Properties of Plant-based Meat Analogs with Machine Learning

Sezin Kircali Ata, Jing K. Shi, Xuesi Yao, Xin Yi Hua, Sumanto Haldar, Jie Hong Chiang* and Min Wu*

Foods (Impact Factor 2021: 5.561). Supported by IAF-PP program "Future Foods: Alternative Proteins".

35. GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat Prediction

Bingxue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu and Jianyu Shi

IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023).

36. MetaGrad: Adaptive Gradient Quantization with Hypernetworks

Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu and Weisi Lin

IEEE International Conference on Image Processing (ICIP 2023).

37. Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou and Yanjie Fu

SIAM International Conference on Data Mining (SDM 2023).

38. SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation

Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiao-Li Li and Lihua Xie 

The 37th AAAI Conference on Artificial Intelligence (AAAI 2023). [Acceptance rate: 1721/8777=19.6%]

2022

1. Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation 

Zhongzhou Liu, Yuan Fang* and Min Wu*  

ACM Transactions on Information Systems (TOIS). [Impact Factor 2021: 4.657]

2. Reinforced Adaptation Network for Partial Domain Adaptation

Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao and Xiao-Li Li

IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). [Impact Factor 2021: 5.859]

3. EEG-based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods

Dominik Klepl, Fei He, Min Wu, Daniel J Blackburn and Ptolemaios Sarrigiannis

IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE). [Impact Factor 2021: 4.528]

4. Self-supervised Autoregressive Domain Adaptation for Time Series Data 

Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh and Xiao-Li Li

IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [Code] [Impact Factor 2021: 14.255]

5. ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu*, Chee-Keong Kwoh, Xiao-Li Li and Cuntai Guan

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). [Code] [Impact Factor 2021: 4.851]

6. SSA-ICL: Multi-domain Adaptive Attention with Intra-dataset Continual Learning for Facial Expression Recognition

Hongxiang Gao, Min Wu*, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li and Chengyu Liu*

Neural Networks. [Impact Factor 2021: 9.657] 

7. A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life

Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen and Xiao-Li Li

IEEE/CAA Journal of Automatica Sinica (JAS). [Impact Factor 2021: 7.847]

8. Component Detection for Power Line Inspection Using a Graph-based Relation Guiding Network

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu and Zhenghua Chen

IEEE Transactions on Industrial Informatics (TII). [Impact Factor 2021: 11.648]

9. A Hybrid Accuracy- and Energy-aware Human Activity Recognition Model in IoT Environment

Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan and Xiaoli Li

IEEE Transactions on Sustainable Computing (T-SUSC). [Impact Factor 2021: 4.908]

10. Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic

Yubo Hou, Sin Gee Teo, Zhenghua Chen, Min Wu, Chee-Keong Kwoh and Tram Truong-Huu

IEEE Transactions on Dependable and Secure Computing (TDSC). [Impact Factor 2021: 6.791]

11. Learning Temporal Consistency for Source-Free Video Domain Adaptation

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu and Zhenghua Chen 

The 17th European Conference on Computer Vision (ECCV 2022)

12. NSF4SL: Negative-sample-free Contrastive Learning for Ranking Synthetic Lethal Partner Genes in Human Cancers

Shike Wang, Yimiao Feng, Xin Liu, Yong Liu, Min Wu and Jie Zheng 

The 21st European Conference on Computational Biology (ECCB 2022)

Bioinformatics. [Code] [Impact Factor 2020: 6.937] 

13. Pre-training Graph Neural Networks for Link Prediction in Biomedical Networks

Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee-Keong Kwoh, Jinmiao Chen, Jiawei Luo and Xiao-Li Li

Bioinformatics. [Code] [Impact Factor 2020: 6.937]

14. QLP: Deep Q-Learning for Pruning Deep Neural Networks

Efe Camci, Manas Gupta, Min Wu, and Jie Lin

IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). [Impact Factor 2020: 4.685]

15. Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction 

Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, and Xiao-Li Li

IEEE/CAA Journal of Automatica Sinica (JAS). [Impact Factor 2020: 6.171]

16. Bi-LSTM-based Two-Stream Network for Machine Remaining Useful Life Prediction

Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiao-Li Li, and Ruqiang Yan

IEEE Transactions on Instrumentation and Measurement (TIM). [Impact Factor 2020: 4.016]

17. Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization

Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiao-Li Li, and Jiawen Kang

IEEE Transactions on Vehicular Technology (TVT). [Impact Factor 2020: 5.978]

18. SynLethDB 2.0: A web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery 

Jie Wang, Min Wu, Xuhui Huang, Li Wang, Sophia Zhang, Hui Liu and Jie Zheng

Database. [URL for SynLethDB 2.0] [Impact Factor 2020: 3.451]

19. 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, Xiao-Li Li, Aaron Voon-Yew Thean, and J. Senthilnath

Knowledge-Based Systems. [Impact Factor 2020: 8.038]

20. Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoder

Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu and Sophia Tsoka

The 8th International Conference on Machine Learning, Optimization, and Data Science (LOD 2022), Best Paper Award

21. Multi-task Self-Supervised Adaptation for Reinforcement Learning

Keyu Wu, Zhenghua Chen, Min Wu, Shili Xiang, Ruibing Jin, Le Zhang and Xiao-Li Li

IEEE Conference on Industrial Electronics and Applications (ICIEA 2022), Best Paper Award

22. Cost-Effective Elderly Fall Detection With Symmetry Transformer Networks

Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li and Min Wu

IEEE Conference on Smart City (SmartCity 2022), Best Paper Award

23. Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's Disease 

Dominik Klepl, Fei He, Min Wu, Daniel J Blackburn and Ptolemaios Sarrigiannis

The 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022)

24. Conditional Contrastive Domain Generalization for Fault Diagnosis

Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee-Keong Kwoh and Xiao-Li Li

IEEE Transactions on Instrumentation and Measurement (TIM). [Impact Factor 2020: 4.016]

25. Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation

Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu and Xiao-Li Li 

The 36th AAAI Conference on Artificial Intelligence (AAAI 2022). [Acceptance rate: 1349/9020=15%]

2021

1. Matrix Factorization for Biomedical Link Prediction and scRNA-Seq Data Imputation: An Empirical Survey

Le Ou-Yang, Fan Lu, Zichao Zhang and Min Wu*

Briefings in Bioinformatics. [Impact Factor 2020: 11.622]

2. Privacy-Preserving Cross-Environment Human Activity Recognition

Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu and Sin Gee Teo

IEEE Transactions on Cybernetics. [Impact Factor 2020: 11.448]

3. Feature Selection and Domain Adaptation for Cross-Machine Product Quality Prediction

Yu Wang, Wei Cui*, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou and Min Wu*

Journal of Intelligent Manufacturing. [Impact Factor 2020: 6.485]

4.  Attention-Based Sequence to Sequence Model for Machine Remaining Useful Life Prediction 

Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh,  Ruqiang Yan and Xiao-Li Li

Neurocomputing. [Impact Factor 2020: 5.719]

5. Heterogeneous Graph Attention Networks for Drug-Virus Association Prediction

Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo and Xiao-Li Li 

Methods. [Impact Factor 2020: 3.608]

6. Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis

Dominik Klepl, Fei He, Min Wu, Daniel J Blackburn, Matteo De Marco and Ptolemaios Sarrigiannis

IEEE Journal of Biomedical and Health Informatics (J-BHI). [Impact Factor 2020: 5.772]

7. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph

Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu* and Juyong Zhang*

IEEE Transactions on Knowledge and Data Engineering (TKDE). [Impact Factor 2020: 6.977]

8. Time-Series Representation Learning via Temporal and Contextual Contrasting

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li and Cuntai Guan

The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). [Code] [Acceptance rate: 587/4204=13.9%] >100 Citations

9. Deep Reinforcement Learning Boosted Partial Domain Adaptation 

Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li and Xiao-Li Li

The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). [Code] [Acceptance rate: 587/4204=13.9%]

10. An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG

Emadeldeen Eldele, Zhenghua Chen, Chengyu Liu, Min Wu*, Chee Keong Kwoh, Xiao-Li Li and Cuntai Guan

IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), Vol 29, 809–818. [Code] [Impact Factor: 3.34] >200 Citations

11. Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network 

Mincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu and Jie Zheng

The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021).

12. Prediction of Synthetic Lethal Interactions in Human Cancers using Multi-view Graph Auto-Encoder

Zhifeng Hao, Di Wu, Yuan Fang*, Min Wu*, Ruichu Cai* and Xiao-Li Li

IEEE Journal of Biomedical and Health Informatics (J-BHI), Vol 25, Issue 10, 4041-4051. [Code] [Impact Factor: 5.223]

13. KG4SL: Knowledge Graph Neural Network for Synthetic Lethality Prediction in Human Cancers

Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu* and Jie Zheng* 

The 29th Conference on Intelligent Systems for Molecular Biology and 20th European Conference on Computational Biology (ISMB/ECCB 2021)

Bioinformatics, Vol 37, Issue S1, i418–i425. [Code] [Impact Factor: 5.610] 

14. Graph Contextualized  Attention Networks for Predicting Synthetic Lethality in Human Cancers

Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee-Keong Kwoh, Jiawei Luo and Xiao-Li Li

Bioinformatics, Vol 37,  Issue 16, 2432-2440. [Code] [Impact Factor: 5.610] 

15. KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction

Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu and Xiao-Li Li

IEEE Transactions on Industrial Electronics (TIE), Vol 69, Issue 2, 2022-2032. [Impact Factor: 7.515] 

16. Contrastive Adversarial Knowledge Distillation for Deep Model Compression in Time-Series Regression Tasks

Qing Xu, Zhenghua Chen*, Mohamed Ragab, Chao Wang, Min Wu* and Xiao-Li Li 

Neurocomputing. [Impact Factor: 4.438]

17. Conv-Inheritance: A Hardware-Efficient Method to Compress Convolutional Neural Networks for Edge Applications

Yang Yang, Chao Wang, Lei Gong, Min Wu and Xuehai Zhou

Neurocomputing. [Impact Factor: 4.438]

18. Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder

Jiyan Wu, Min Wu*, Zhenghua Chen, Xiao-Li Li and Ruqiang Yan

IEEE Transactions on Instrumentation and Measurement (TIM). [Impact Factor: 3.658]

19. Cross-Domain Retinopathy Classification with Optical Coherence Tomography Images via a Novel Deep Domain Adaptation Method 

Yuemei Luo, Qing Xu, Yubo Hou, Linbo Liu and Min Wu*

Journal of Biophotonics. [Impact Factor: 3.032]

20. Automatic Detection of Retinopathy with Optical Coherence Tomography Images via a Semi-supervised Deep Learning Method

Yuemei Luo, Qing Xu, Ruibing Jin, Min Wu* and Linbo Liu

Biomedical Optics Express (BOE), Vol. 12, Issue 5, pp. 2684–2702. [Impact Factor: 3.921]

21. Two-Stream Convolution Augmented Transformer for Human Activity Recognition

Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen and Min Wu

The 35th AAAI Conference on Artificial Intelligence (AAAI 2021). [Code] [Acceptance rate: 1692/7911=21.4%]

2020

1. Recent Advances in Network-based Methods for Disease Gene Prediction

Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee-Keong Kwoh and Xiao-Li Li 

Briefings in Bioinformatics. [Impact Factor: 8.990]

2. Multi-view Collaborative Network Embedding  

Sezin Kircali Ata, Yuan Fang*, Min Wu*, Jiaqi Shi, Chee-Keong Kwoh and Xiao-Li Li  

ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, No 3. [Code] [Impact Factor: 2.01]

3. Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Chee-Keong Kwoh,  Ruqiang Yan and Xiao-Li Li 

IEEE Transactions on Industrial Informatics (TII), Vol 17, Issue 8, 5239–5249. [Impact Factor: 9.112]

4. An Attention based Deep Sequential GRU Model for Sensor Drift Compensation 

Tanaya Chaudhuri, Min Wu*, Yu Zhang, Pan Liu and Xiao-Li Li 

IEEE Sensors Journal. Vol. 21, Issue 6, 7908–7917. [Impact Factor: 3.073]

5. Ensembling Graph Attention Networks for Human Microbe-Drug Association Prediction 

Yahui Long, Min Wu, Yong Liu, Chee-Keong Kwoh, Jiawei Luo and Xiao-Li Li 

The 19th European Conference on Computational Biology (ECCB 2020). [Acceptance rate: 43/203=21.18%]

Bioinformatics, Vol 36, Issue S2, i779–i786. [Impact Factor: 5.610]

6. mg2vec: Learning Relationship-preserving Heterogeneous Graph Representations via Metagraph Embedding

Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu and Xinming Zhang

IEEE Transactions on Knowledge and Data Engineering (TKDE). [Impact Factor: 4.935]

7. Machine Remaining Useful Life Prediction via an Attention based Deep Learning Approach

Zhenghua Chen, Min Wu*, Rui Zhao, Feri Guretno, Ruqiang Yan* and Xiao-Li Li

IEEE Transactions on Industrial Electronics (TIE), Vol 68, Issue 3, 2521–2531. [Code] [Impact Factor: 7.515] >200 Citations

8. Predicting Human Microbe-Drug Associations via Graph Convolutional Network with Conditional Random Field

Yahui Long, Min Wu, Chee-Keong Kwoh, Jiawei Luo and Xiao-Li Li 

Bioinformatics, Vol 36, Issue 19, 4918–4927. [Impact Factor: 5.610]

9. Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks 

Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo and Xiao-Li Li 

IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020).

10. Adversarial Multiple-Target Domain Adaptation for Fault Classification

Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh,  Ruqiang Yan and Xiao-Li Li

IEEE Transactions on Instrumentation and Measurement (TIM). Vol 70, 1–11. [Impact Factor: 3.658]

11. An Attention Based CNN-LSTM Approach for Sleep-Wake Detection with Heterogeneous Sensors 

Zhenghua Chen, Min Wu*, Wei Cui, Chengyu Liu and Xiao-Li Li

IEEE Journal of Biomedical and Health Informatics (J-BHI). [Impact Factor: 5.223]

12. A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection using Heart Rate Variability and Acceleration 

Zhenghua Chen, Min Wu*,  Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng and Xiao-Li Li*

IEEE Transactions on Emerging Topics on Computational Intelligence (TETCI).

13. Dual-Dropout Graph Convolutional Network for Predicting Synthetic Lethality in Human Cancers

Ruichu Cai, Xuexin Chen, Yuan Fang*, Min Wu* and Yuexing Hao

Bioinformatics, Vol 36, Issue 16, 4458–4465. [Impact Factor: 5.610]

14. A Graph Regularized Generalized Matrix Factorization Model for Predicting Links in Biomedical Bipartite Networks

Zichao Zhang, Xiaofei Zhang, Min Wu, Le Ou-Yang, Xingming Zhao and Xiao-Li Li

Bioinformatics, Vol 36, Issue 11, 3474–3481. [Impact Factor: 5.610]

15. A Novel Real-Time Deep Learning Approach for Indoor Localization based on RF Environment Identification 

Zhenghua Chen, Mohamed I. AlHajri, Min Wu, Nazar T. Ali and Raed M. Shubair

IEEE Sensor Letters, Vol 4, Issue 6, 7002504.

16. A Joint Classification-Regression Method for Multi-Stage Remaining Useful Life Prediction

Jiyan Wu, Min Wu*, Zhenghua Chen, Xiao-Li Li and Ruqiang Yan

Journal of Manufacturing Systems. Vol 58, 109-119.

17. Deep Learning with Long Short-Term Memory Networks for Classification of Dementia Related Travel Patterns 

Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu and Xiao-Li Li

The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020).

18. Mahalanobis Distance based Adversarial Network for Anomaly Detection

Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiao-Li Li and Raed Shubair

The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020).

19. Adversarial Transfer Learning for Machine Remaining Useful Life Prediction

Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiao-Li Li

IEEE International Conference on Prognostics and Health Management (ICPHM 2020), Finalist Academic Paper Award.

20. Predicting Surface Roughness and Flank Wear in Turning Processes

Nhu Khue Vuong, Yang Xue, Shudong Liu, Yu Zhou and Min Wu

IEEE International Conference on Prognostics and Health Management (ICPHM 2020).

2019

1. Metagraph-based Learning on Heterogeneous Graphs 

Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin C.C. Chang and Xiao-Li Li

IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 33, Issue 1, 154–168. DOI: 10.1109/TKDE.2019.2922956. [Impact Factor: 4.935]

2. Smartphone Sensor based Human Activity Recognition using Feature Fusion and Maximum Full A Posteriori

Zhenghua Chen, Chaoyang Jiang*, Shili Xiang, Jie Ding, Min Wu* and Xiao-Li Li

IEEE Transactions on Instrumentation and Measurement (TIM), Vol 69, Issue 7, 3992–4001. [Impact Factor: 3.658]

3. Predicting Synthetic Lethal Interactions in Human Cancers using Graph Regularized Self-Representative Matrix Factorization

Jiang Huang, Min Wu, Fan Lu, Le Ou-Yang and Zexuan Zhu

BMC Bioinformatics, Vol 20, 657. [Impact Factor: 3.242]

4. A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data 

Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz and Xiao-Li Li

IEEE International Conference on Biomedical and Health Informatics (BHI 2019).

5. Online Collaborative Filtering with Implicit Feedback 

Jianwen Yin, Chenghao Liu, Jundong Li, BingTian Dai, Yun-chen Chen, Min Wu and Jianling Sun 

International Conference on Database Systems for Advanced Applications (DASFAA 2019), 433–448.

6. Adaptive Cost-Sensitive Online Classification 

Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan and Junzhou Huang

IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 31, Issue 2, 214–228. DOI: 10.1109/TKDE.2018.2826011. [Impact Factor: 4.935]

7. Computational Prediction of Drug-Target Interactions using Chemogenomic Approaches: An Empirical Survey  

Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh 

Briefings in Bioinformatics, Vol 20, Issue 4, 1337–1357. [Impact Factor: 8.990] >200 Citations

2017-2018

1. SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization 

Yong Liu, Min Wu*, Chenghao Liu, Xiao-Li Li, Jie Zheng*

The 29th International Conference on Genome Informatics (GIW 2018) 

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Vol 17, Issue 3, 748–757. [Impact Factor: 3.015]

2. Integrating Node Embeddings and Biological Annotations for Genes to Predict Disease-Gene Associations

Sezin Kircali Ata, Le Ou-Yang, Yuan Fang, Chee-Keong Kwoh, Min Wu* and Xiao-Li Li* 

The 29th International Conference on Genome Informatics (GIW 2018) 

BMC Systems Biology, Vol 12, 138. DOI: 10.1186/s12918-018-0662-y 

3. Learning User Dependencies for Recommendation  

Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan and Xiao-Li Li 

The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2379–2385. [Acceptance rate: 660/2540=26.0%]

4. Disease Gene Classification with Metagraph Representations 

Sezin Ata Kircali, Yuan Fang, Min Wu, Xiao-Li Li and Xiaokui Xiao

Methods, Vol 131, 83–92. 2017 [Impact Factor: 3.812].

5. Node-based Learning of Differential Networks from Multi-Platform Gene Expression Data 

Le Ou-Yang, Xiao-Fei Zhang, Min Wu and Xiao-Li Li 

Methods, Vol 129, 41–49. 2017 [Impact Factor: 3.812].

6. Drug-Target Interaction Prediction using Ensemble Learning and Dimensionality Reduction 

Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh

Methods, Vol 129, 81–88. 2017 [Impact Factor: 3.812]. >100 Citations

7. LDSplitDB: A Database for Studies of Meiotic Recombination Hotspots in MHC using Human Genomic Data 

Jing Guo, Hao Chen, Peng Yang, Yew Ti Lee, Min Wu, Teresa M. Przytycka, Chee Keong Kwoh and Jie Zheng 

The 28th International Conference on Genome Informatics (GIW 2017)

BMC Medical Genomics, Vol 11, 27. 2017 [Impact Factor: 2.570]

2016

1. Repeat Buyer Prediction for E-Commerce 

Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen

The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), pp.155–164.

2. Semantic Proximity Search on Graphs with Metagraphs-based Learning  

Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Kevin C.C. Chang and Xiao-Li Li 

The 32nd IEEE International Conference on Data Engineering (ICDE 2016) [Code]

3. Drug-Target Interaction Prediction via Class Imbalance-Aware Ensemble Learning 

Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh 

The 15th International Conference on Bioinformatics (InCoB 2016), Best Paper Award

BMC Bioinformatics, Vol 17, Issue S19, 509. 2016. [Impact Factor: 3.242]

4. Power-Law Modeling of Cancer Cell Fates Driven by Signaling Data to Reveal Drug Effects 

Fan Zhang, Min Wu, Chee-Keong Kwoh and Jie Zheng 

PLoS ONE, Vol 11, Issue 10, e0165049. 2016. [Impact Factor: 2.74]

5. Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-complex Affinity Scores 

Min Wu, Le Ou-Yang and Xiao-Li Li 

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Vol 14, Issue 3, 733–739. 2016. [Impact Factor: 3.015]

6. Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization 

Ali Ezzat, Peilin Zhao, Min Wu, Xiao-Li Li and Chee-Keong Kwoh

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Vol 14, Issue 3, 646–656. 2016. [Impact Factor: 3.015] >200 Citations

7. A Two-Layer Integration Framework for Protein Complex Detection 

Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Li Li and Hong Yan 

BMC Bioinformatics, Vol 17, 100. 2016. [Impact Factor: 3.242]

8. Neighborhood Regularized Logistic Matrix Factorization for Drug-target Interaction Prediction 

Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao and Xiao-Li Li 

PLoS Computational Biology, Vol 12, Issue 2, e1004760, 2016 [Impact factor: 4.700] >300 Citations

2015

1. Data Stream Cost-Sensitive Classification with Adaptive Regularization and Its Applications  

Peilin Zhao, Furen Zhuang, Min Wu, Xiao-Li Li, and Steven C. H. Hoi

The 15th IEEE International Conference on Data Mining (ICDM 2015).

2. Modeling Perceived Stress via HRV and Accelerometer Sensor Streams 

Min Wu, Hong Cao, Hai-Long Nguyen, Karl Surmacz and Caroline Hargrove 

The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015).

3. Active Learning for Accurate Analysis of Streaming Partial Discharge Data 

Hai-Long Nguyen, Joao Bartolo Gomez, Min Wu, Jianneng Cao, and Shonali Krishnaswamy  

IEEE International Conference on Prognositics and Health Management (ICPHM 2015).

4. Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee  

Jianneng Cao, Yongluan Zhou and Min Wu  

The 20th International Conference on Database Systems for Advanced Applications (DASFAA 2015), pp. 75–91. Best Paper Award

5. Predicting Essential Genes and Synthetic Lethality via Influence Propagation in Signaling Pathways of Cancer Cell Fates 

Fan Zhang, Min Wu, Xuejuan Li, Xiao-Li Li, Chee Keong Kwoh  and Jie Zheng

Journal of Bioinformatics and Computational Biology (JBCB), Vol 13, Issue 3, 1541002. 2015. [Impact factor: 1.055]

6. An Overview of State-of-the-Art Partial Discharge Analysis Techniques for Condition Monitoring  

Min Wu, Hong Cao, Jianneng Cao, Hai-Long Nguyen, Joao Gomez, Shonali Krishnaswamy 

IEEE Electrical Insulation Magazine, Vol 31, Issue 6, 22–35, 2015 [Impact factor: 3.094] >200 Citations

2013-2014

1. Detecting temporal protein complexes from dynamic protein-protein interaction networks  

Le Ou-Yang, Dao-Qing Dai, Xiao-Li Li, Min Wu, Xiao-Fei Zhang and Peng Yang 

BMC Bioinformatics, Vol 15, 335. 2014. [Impact Factor: 3.242]

2.  Data-Driven Prediction of Cancer Cell Fates with a Non-Linear Model of Signaling Pathways  

Fan Zhang, Chee-Keong Kwoh, Min Wu and Jie Zheng 

ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2014).

3. Finding Trans-Regulatory Genes and Protein Complexes Modulating Meiotic Recombination Hotspots of Human, Mouse and Yeast  

Min Wu, Chee-Keong Kwoh, Xiao-Li Li and Jie Zheng 

BMC Systems Biology, Vol 8, 107. 2014.

4. In Silico Prediction of Synthetic Lethality by Meta-Analysis of Genetic Interactions, Functions and Pathways in Yeast and Human Cancer  

Min Wu, Xuejuan Li, Fan Zhang, Xiao-Li Li, Chee-Keong Kwoh and Jie Zheng 

Cancer Informatics, Vol 13, Issue S3, 71–80. 2014. 

5. Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data  

Vijay Chandrasekhar, Min Wu, Xiao-Li Li, Cheston Tan, Liyuan Li, and Joo-Hwee Lim 

The 22nd International Conference on Pattern Recognition (ICPR 2014).

6. Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation 

Vijay Chandrasekhar, Min Wu, Xiao-Li Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim  

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Egocentric Vision 2014.

7. LDsplit: Discovery of cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms 

Peng Yang, Min Wu, Jing Guo, Chee-Keong Kwoh, T. M. Przytycka, and Jie Zheng 

BMC Bioinformatics, Vol 15, 48. 2014. [Impact Factor: 3.242]

8. Syn-Lethality: An Integrative Knowledge Base of Synthetic Lethality towards Discovery of Selective Anticancer Therapies 

Xue-juan Li, Shital Kumar Mishra, Min Wu, Fan Zhang, and Jie Zheng 

BioMed Research International Journal, Vol 2014, 196034. 2014. [Impact factor: 2.276]

9. Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer 

Min Wu, Xuejuan Li, Fan Zhang, Xiao-Li Li, Chee-Keong Kwoh, and Jie Zheng 

ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2013).

10. PLW: Probabilistic Local Walks for Detecting Protein Complexes from Protein Interaction Networks 

Daniel Lin Kit Wong, Xiao-Li Li, Min Wu, Jie Zheng and See Kiong Ng 

The 12th International Conference on Bioinformatics (InCoB 2013). 

BMC Genomics, Vol 14, S15. 2013. [Code] [Impact factor: 3.594] 

11. Identifying Protein Complexes from Heterogeneous Sources  

Min Wu, Zhipeng Xie, Xiao-Li Li, Chee-Keong Kwoh and Jie Zheng 

Proteins: Structure, Function and Bioinformatics, Vol 81, Issue 11, 2023-33. 2013. [Impact factor: 2.828]

12. Benchmarking Human Protein Complexes to Investigate Drug-Related Systems and Evaluate Predicted Protein Complexes 

Min Wu, Qi Yu, Xiao-Li Li, Jie Zheng, Jing-Fei Huang, Chee-Keong Kwoh 

PLoS ONE, Vol 8, Issue 2, e53197. 2013. [Impact Factor: 2.74]

2011-2012

1. Discovery of Protein Complexes with Core-Attachment Structures from TAP Data  

Min Wu, Xiao-Li Li, Chee-Keong Kwoh, See-Kiong Ng, Limsoon Wong 

Journal of Computational Biology, vol 19(9):1027-1042. 2012. [Impact factor: 1.054]

2. NetPipe: A Network-based Pipeline for Genes and Protein Complexes Associated with Meiotic Recombination Hotspots  

Min Wu, Chee-Keong Kwoh, Xiao-Li Li, Jie Zheng 

ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), pp.20–27. 

3. Integration of Genomic and Epigenomic Features to Predict Meiotic Recombination Hotspots in Human and Mouse  

Min Wu, Chee-Keong Kwoh, T. M. Przytycka, Jing Li, Jie Zheng 

ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), pp. 297–304.

4. Predicting DNA Sequence Motifs of Recombination Hotspots by Integrative Visualization and Analysis 

Peng Yang, Min Wu, Chee-Keong Kwoh, Pavel P. Khil, R. Daniel Camerini-Otero, T. M. Przytycka, and Jie Zheng  

The 8th International Symposium on Integrative Bioinformatics (IB 2012).

5. Epigenetic Functions Enriched in Transcription Factors Binding to Mouse Recombination Hotspots  

Min Wu, Chee-Keong Kwoh, T. M. Przytycka, Jing Li, Jie Zheng 

Proteome Science, vol 10(Suppl 1):S11. 2012. [Impact factor: 2.811]. 

6. Prediction of Trans-Regulators of Recombination Hotspots in Mouse Genome 

Min Wu, Chee-Keong Kwoh, T. M. Przytycka, Jing Li, Jie Zheng 

IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), pp. 57-62.

7. Inferring Gene-Phenotype Associations via Global Protein Complex Network Propagation  

Peng Yang, Xiao-Li Li, Min Wu, Chee-Keong Kwoh and See-Kiong Ng 

PLoS ONE, vol 6(7):e21502. 2011. [Impact Factor: 2.74] >100 Citations

8. Construction of Co-Complex Score Matrix for Protein Complex Prediction from AP-MS Data 

Zhipeng Xie, Chee-Keong Kwoh, Xiao-Li Li and Min Wu 

The 19th Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB 2011)

Bioinformatics, Vol 27, Issue 13, i159–i166. 2011. [Impact Factor: 5.610] 

2010 and Before

1. Integrating Diverse Biological and Computational Sources for Reliable Protein-Protein Interactions  

Min Wu, Xiao-Li Li, Hon-Nian Chua, Chee-Keong Kwoh, See-Kiong Ng 

The 9th International Conference on Bioinformatics (InCoB 2010). 

BMC Bioinformatics, vol 11(Suppl 7):S8. 2010. [Impact Factor: 3.242]

2. Computational Approaches for Detecting Protein Complexes from Protein Interaction Networks: A Survey  

Xiao-Li Li, Min Wu, Chee-Keong Kwoh and See-Kiong Ng 

BMC Genomics, vol 11(S1):S3. 2010. [Impact factor: 3.594] >400 Citations

3. A Core-Attachment based Method to Detect Protein Complexes in PPI Networks  

Min Wu, Xiao-Li Li, Chee-Keong Kwoh, See-Kiong Ng 

BMC Bioinformatics, vol 10:169. 2009. [Impact Factor: 3.242] >400 Citations

4. Algorithms for Detecting Protein Complexes in PPI Networks: An Evaluation Study

Min Wu, Xiao-Li Li, Chee-Keong Kwoh

The IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008).

5. Semantic Labeling to Identify Reliable Interactions in the Protein Interaction Network  

Min Wu, Xiao-Li Li, Chee-Keong Kwoh 

IEEE International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2008), pp. 152-155.

Books & Book Chapters

1. Generalization With Deep Learning: For Improvement On Sensing Capability 

Zhenghua Chen, Min Wu and Xiao-Li Li (Eds.) 

Online ISBN: 978-981-121-885-9, World Scientific, 2021. 

2. Deep Learning for Human Activity Recognition 

Xiao-Li Li, Zhenghua Chen, Min Wu, Zhang Le (Eds.) 

Online ISBN 978-981-16-0575-8, Springer, 2021.  

3. Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks  

Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu and Xiaoli Li  

Generalization With Deep Learning: For Improvement On Sensing Capability, Edited by Z. Chen, et al., ISBN: 978-981-121-885-9, World Scientific, 2021.

4. Deep Learning for Building Occupancy Estimation using Environmental Sensors 

Zhenghua Chen, Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Min Wu and Xiao-Li Li 

Deep Learning: Algorithms and Applications, Edited by Witold Pedrycz and Shyi-Ming Chen, ISBN 978-3-030-31760-7, Springer, 2020.

5. Computational Prediction of Drug-Target Interactions via Ensemble Learning 

Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh 

Computational Methods for Drug Repurposing, Edited by Quentin Vanhaelen, Online ISBN: 978-1-4939-8955-3. Springer, 2019.

6. Disease Gene Classification with Metagraph Representations 

Sezin Ata Kircali, Yuan Fang, Min Wu, Xiao-Li Li and Xiaokui Xiao 

Data Mining for Systems Biology, Edited by H. Mamitsuka, ISBN: 978-1-4939-8561-6, Springer, 2018.

7. Matrix Factorization for Drug-Target Interaction Prediction  

Yong Liu, Min Wu, Peilin Zhao, Xiao-Li Li  

High Performance Computing for Big Data: Methodologies and Applications, Edited by Chao Wang, ISBN: 978-1498783996, CRC Press, October 2017.