Min Wu

CoRR, 2024

Global and Compact Video Context Embedding for Video Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2024

TSLANet: Rethinking Transformers for Time Series Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LPViT: Low-Power Semi-structured Pruning for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Graph-Aware Contrasting for Multivariate Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Dual-View Preference Learning for Adaptive Recommendation.

[BibT_eX]

[DOI]

Zhongzhou Liu

IEEE Trans. Knowl. Data Eng., November, 2023

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, November, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2023

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.

[BibT_eX]

[DOI]

Bioinform., August, 2023

A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, June, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., May, 2023

Feature selection and domain adaptation for cross-machine product quality prediction.

[BibT_eX]

[DOI]

J. Intell. Manuf., April, 2023

Privacy-Preserving Cross-Environment Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition.

[BibT_eX]

[DOI]

Neural Networks, January, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Sustain. Comput., 2023

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

[BibT_eX]

[DOI]

Zhongzhou Liu

ACM Trans. Inf. Syst., 2023

Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2023

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

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2023

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Network-based EEG Classification: A Survey.

[BibT_eX]

[DOI]

Dominik Klepl

Pedro Henrique da Costa Avelar

Fei He

CoRR, 2023

Graph Contextual Contrasting for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Unlimited Knowledge Distillation for Action Recognition in the Dark.

[BibT_eX]

[DOI]

CoRR, 2023

Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders.

[BibT_eX]

[DOI]

Ptolemaios G. Sarrigiannis

Sophia Tsoka

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Label-efficient Time Series Representation Learning: A Review.

[BibT_eX]

[DOI]

CoRR, 2023

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality.

[BibT_eX]

[DOI]

Bioinform., 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Estimating Propensity for Causality-based Recommendation without Exposure Data.

[BibT_eX]

[DOI]

Zhongzhou Liu

Ptolemaios G. Sarrigiannis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Metagrad: Adaptive Gradient Quantization with Hypernetworks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Significance of activation functions in developing an online classifier for semiconductor defect detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Conv-inheritance: A hardware-efficient method to compress convolutional neural networks for edge applications.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.

[BibT_eX]

[DOI]

CoRR, 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning.

[BibT_eX]

[DOI]

Manas Gupta

Efe Camci

Vishandi Rudy Keneta

Abhishek Vaidyanathan

CoRR, 2022

Self-Optimizing Feature Transformation.

[BibT_eX]

[DOI]

CoRR, 2022

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Learning Temporal Consistency for Source-Free Video Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Pre-training graph neural networks for link prediction in biomedical networks.

[BibT_eX]

[DOI]

Bioinform., 2022

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

[BibT_eX]

[DOI]

Database J. Biol. Databases Curation, 2022

Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders.

[BibT_eX]

[DOI]

Pedro Henrique da Costa Avelar

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

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

[BibT_eX]

[DOI]

Ptolemaios G. Sarrigiannis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Metagraph-Based Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

IEEE Trans. Knowl. Data Eng., 2021

Multi-View Collaborative Network Embedding.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Adversarial Multiple-Target Domain Adaptation for Fault Classification.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Attention-based sequence to sequence model for machine remaining useful life prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Deep learning for human activity recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.

[BibT_eX]

[DOI]

CoRR, 2021

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers.

[BibT_eX]

[DOI]

Bioinform., 2021

Graph contextualized attention network for predicting synthetic lethality in human cancers.

[BibT_eX]

[DOI]

Bioinform., 2021

Recent advances in network-based methods for disease gene prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Deep Reinforcement Learning Boosted Partial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Two-Stream Convolution Augmented Transformer for Human Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

SL<sup>2</sup>MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.

[BibT_eX]

[DOI]

Bioinform., 2020

Predicting human microbe-drug associations via graph convolutional network with conditional random field.

[BibT_eX]

[DOI]

Bioinform., 2020

Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.

[BibT_eX]

[DOI]

Bioinform., 2020

Predicting Surface Roughness and Flank Wear in Turning Processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Mahalanobis Distance Based Adversarial Network for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep learning with long short-term memory networks for classification of dementia related travel patterns.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Adaptive Cost-Sensitive Online Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.

[BibT_eX]

[DOI]

Briefings Bioinform., 2019

Mobile Robot Routing with Energy Consumption Optimization.

[BibT_eX]

[DOI]

Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Online Collaborative Filtering with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017

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

[BibT_eX]

[DOI]

Le Ou-Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Learning User Dependencies for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

Learning Optimal Social Dependency for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2016

A two-layer integration framework for protein complex detection.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Drug-target interaction prediction via class imbalance-aware ensemble learning.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Repeat Buyer Prediction for E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Novel Classifier - Weighted Features Cost-Sensitive SVM.

[BibT_eX]

[DOI]

Ding Cheng

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Semantic proximity search on graphs with metagraph-based learning.

[BibT_eX]

[DOI]

Wenqing Lin

Vincent Wenchen Zheng

Kevin Chen-Chuan Chang

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2015

Active learning for accurate analysis of streaming partial discharge data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Modeling perceived stress via HRV and accelerometer sensor streams.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

[BibT_eX]

[DOI]

Jianneng Cao

Yongluan Zhou

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2014

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

[BibT_eX]

[DOI]

BMC Bioinform., 2014

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

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

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

[BibT_eX]

[DOI]

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2012

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Mining protein complexes from protein interaction data

[BibT_eX]

[DOI]

PhD thesis, 2011

Construction of co-complex score matrix for protein complex prediction from AP-MS data.

[BibT_eX]

[DOI]

Bioinform., 2011

Design and Implementation of Multimedia Online Courseware Based on XML/XSLT and JavaScript.

[BibT_eX]

[DOI]

Lili Sun

Minyong Shao