Xiaoli Li

Xiaoli Li, Tao Jiang, Suge Wang, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

DEEP LEARNING FOR HUMAN ACTIVITY RECOGNITION 9

M. N. Nguyen, Xiaoli Li, S. Krishnaswamy, 2017 .

A Span-based Target-aware Relation Model for Frame-Semantic Parsing

Xiaoli Li, Baobao Chang, Zhiwei Hu, 2022, ACM Transactions on Asian and Low-Resource Language Information Processing.

Learning to Classify Texts Using Positive and Unlabeled Data

B. Liu, Xiaoli Li, 2003, IJCAI.

An Attention-Based Deep Sequential GRU Model for Sensor Drift Compensation

Xiaoli Li, Yu Zhang, Tanaya Chaudhuri, 2021, IEEE Sensors Journal.

Celastrol targets the ChREBP-TXNIP axis to ameliorates type 2 diabetes mellitus.

Xiaoli Li, X. Liu, Xiaoqiu Xiao, 2022, Phytomedicine : international journal of phytotherapy and phytopharmacology.

A decentralized learning strategy to restore connectivity during multi-agent formation control

D. Pack, Xiaoli Li, Senthilnath Jayavelu, 2022, Neurocomputing.

Identifying protein complexes from heterogeneous biological data

Jie Zheng, Xiaoli Li, Chee-Keong Kwoh, 2013, Proteins.

A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs

Xiaoli Li, Shili Xiang, Dong Huang, 2018, TENCON 2018 - 2018 IEEE Region 10 Conference.

Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery

Xiaoli Li, Henry Han, Xiaoli Li, 2011, BMC Bioinformatics.

A management method of chronic diseases in the elderly based on IoT security environment

K. Yu, Xiaoli Li, Yue Qin, 2022, Comput. Electr. Eng..

An effective data transmission scheme based on IoT system in opportunistic social networks

Xiaoli Li, Jia Wu, Z. Huang, 2021, Int. J. Commun. Syst..

Efficient path-sense transmission based on IoT system in opportunistic social networks

Xiaoli Li, Huamei Qi, Jia Wu, 2022, Peer-to-Peer Netw. Appl..

ECODE: Event-Based Community Detection from Social Networks

Philip S. Yu, See-Kiong Ng, Xiaoli Li, 2011, DASFAA.

Discovering protein complexes in dense reliable neighborhoods of protein interaction networks.

See-Kiong Ng, Chuan-Sheng Foo, Xiao-Li Li, 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

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

Chee Keong Kwoh, Jiawei Luo, Min Wu, 2020, Bioinform..

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

Wei Wei, Gao Cong, Ziyang Wang, 2020, SIGIR.

A core-attachment based method to detect protein complexes in PPI networks

Min Wu, Chee Keong Kwoh, See-Kiong Ng, 2009, BMC Bioinformatics.

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

Min Wu, Le Ou-Yang, Xiao-Li Li, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A two-layer integration framework for protein complex detection

Min Wu, Xiaoli Li, Hong Yan, 2016, BMC Bioinformatics.

PLW: Probabilistic Local Walks for detecting protein complexes from protein interaction networks

See-Kiong Ng, Jie Zheng, Xiao-Li Li, 2013, BMC Genomics.

Disease Gene Classification with Metagraph Representations.

Xiaokui Xiao, Xiao-Li Li, Min Wu, 2018, Methods in molecular biology.

Building text classifiers using positive and unlabeled examples

Philip S. Yu, Xiaoli Li, Bing Liu, 2003, Third IEEE International Conference on Data Mining.

Ensemble Based Positive Unlabeled Learning for Time Series Classification

See-Kiong Ng, Xiaoli Li, Minh Nhut Nguyen, 2012, DASFAA.

Positive-unlabeled learning for disease gene identification

Chee Keong Kwoh, See-Kiong Ng, Peng Yang, 2012, Bioinform..

Recent Advances in Network-based Methods for Disease Gene Prediction

Xiaoli Li, C. Kwoh, Min Wu, 2020, Briefings Bioinform..

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

Chee Keong Kwoh, Limsoon Wong, See-Kiong Ng, 2012, J. Comput. Biol..

Ensembling graph attention networks for human microbe-drug association prediction.

Yong Liu, Xiaoli Li, C. Kwoh, 2020, Bioinformatics.

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

Fan Zhang, Xiaoli Li, Chee-Keong Kwoh, 2014, Cancer informatics.

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

Chee-Keong Kwoh, Min Wu, Ali Ezzat, 2019, Briefings Bioinform..

Drug-target interaction prediction by learning from local information and neighbors

Chee Keong Kwoh, Peng Yang, Xiaoli Li, 2013, Bioinform..

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

Yong Liu, Chenghao Liu, Jie Zheng, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

TEAD3 inhibits the proliferation and metastasis of prostate cancer via suppressing ADRBK2.

Xiaoli Li, Y. Niu, Z. Shang, 2023, Biochemical and biophysical research communications.

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

Zhenghua Chen, Min Wu, Xiaoli Li, 2021, IEEE Transactions on Industrial Electronics.

Modeling Marked Temporal Point Process Using Multi-relation Structure RNN

Xiaoli Li, Binbin Chen, Gao Cong, 2019, Cognitive Computation.

Searching for Rising Stars in Bibliography Networks

See-Kiong Ng, Xiaoli Li, Chuan Sheng Foo, 2009, DASFAA.

Microbial community pattern detection in human body habitats via ensemble clustering framework

Peng Yang, Xiaoli Li, Le Ou-Yang, 2014, BMC Systems Biology.

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data

Xiaoli Li, Zeng Zeng, Cen Chen, 2022, IEEE Journal of Biomedical and Health Informatics.

Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers

Xiaoli Li, C. Kwoh, Min Wu, 2021, bioRxiv.

Frame Semantics guided network for Abstractive Sentence Summarization

Shaoru Guo, Xiaoli Li, Yong Guan, 2021, Knowl. Based Syst..

Positive Unlabeled Learning for Data Stream Classification

Philip S. Yu, See-Kiong Ng, Xiaoli Li, 2009, SDM.

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

Chee Keong Kwoh, Xiaoli Li, Ali Ezzat, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Zhenghua Chen, Xiaoli Li, Min Wu, 2021, IEEE Transactions on Industrial Electronics.

Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks

Bo Zhang, Wei Li, Xiao-Li Li, 2018, IEEE Access.

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder

Ruqiang Yan, Zhenghua Chen, Xiao-Li Li, 2021, IEEE Transactions on Instrumentation and Measurement.

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

Chee Keong Kwoh, Xiaoli Li, Ali Ezzat, 2016, BMC Bioinformatics.

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

Chunyan Miao, Yong Liu, Xiaoli Li, 2016, PLoS Comput. Biol..

Interaction graph mining for protein complexes using local clique merging.

See-Kiong Ng, Chuan-Sheng Foo, Xiao-Li Li, 2005, Genome informatics. International Conference on Genome Informatics.

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

Zhenghua Chen, Xiaoli Li, Min Wu, 2021, IEEE Transactions on Industrial Informatics.

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction

Chee Keong Kwoh, Zhenghua Chen, Min Wu, 2020, 2020 IEEE International Conference on Prognostics and Health Management (ICPHM).

Learned Index Benefits: Machine Learning Based Index Performance Estimation

Xiaoli Li, Gao Cong, Jiachen Shi, 2022, Proc. VLDB Endow..

A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning

Xiaoli Li, Zhipeng Xie, Liyang Jiang, 2015, DASFAA.

Mobile Robot Routing with Energy Consumption Optimization

Min Wu, Xiaoli Li, Shili Xiang, 2019, ICRAI.

Mobile Robot Scheduling with Multiple Trips and Time Windows

Huayu Wu, Shudong Liu, Xiaoli Li, 2017, ADMA.

Metagraph-Based Learning on Heterogeneous Graphs

Min Wu, Kevin Chen-Chuan Chang, Wenqing Lin, 2021, IEEE Transactions on Knowledge and Data Engineering.

Semantic proximity search on graphs with metagraph-based learning

Kevin Chen-Chuan Chang, Xiaoli Li, Wenqing Lin, 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).

Deep Learning for Human Activity Recognition

Jianbo Yang, Xiaoli Li, Phyo Phyo San, 2020 .

Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition

Xiaoli Li, Shonali Krishnaswamy, Jianbo Yang, 2015, IJCAI.

Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns

Gao Cong, Jung-jae Kim, Xiao-Li Li, 2018, IJCAI.

Multi-View Collaborative Network Embedding

Chee Keong Kwoh, Min Wu, Xiaoli Li, 2020, ACM Trans. Knowl. Discov. Data.

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Linmei Hu, Chuan Shi, Xiaoli Li, 2019, EMNLP.

Hyperspectral remote sensing image classification using three-dimensional-squeeze-and-excitation-DenseNet (3D-SE-DenseNet)

Xiaoli Li, Xueying Zhang, Runmin Lei, 2020 .

Adversarial Multiple-Target Domain Adaptation for Fault Classification

Zhenghua Chen, Xiaoli Li, Min Wu, 2021, IEEE Transactions on Instrumentation and Measurement.

Entity set expansion in knowledge graph: a heterogeneous information network perspective

Linmei Hu, Chuan Shi, Bin Wu, 2020, Frontiers of Computer Science.

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Gao Cong, Yi Tay, Shuai Zhang, 2018, WSDM.

Using PageRank for Characterizing Topic Quality in LDA

Sujatha Das Gollapalli, Xiao-li Li, Xiaoli Li, 2018, ICTIR.

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

Chengyu Liu, Zhenghua Chen, Min Wu, 2020, IEEE journal of biomedical and health informatics.

Research on optimal intelligent routing algorithm for IoV with machine learning and smart contract

Xiaoli Li, Chunguo Li, Congzheng Han, 2022, Digit. Commun. Networks.

Learning User Dependencies for Recommendation

Xin Liu, Yong Liu, Xiaoli Li, 2017, IJCAI.

SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification

See-Kiong Ng, Xiaoli Li, Hong Cao, 2011, 2011 IEEE 11th International Conference on Data Mining.

Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback

Peng Gao, Guimei Liu, Yong Liu, 2018, IJCAI.

A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications

Xiaoli Li, Shengbin Liang, Yuying Zhang, 2023, PloS one.

Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification

Xiaoli Li, Yang Li, Jiye Liang, 2019, Symmetry.

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading

Xiaoli Li, Ziyuan Zhao, Kartik Chopra, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Bone marrow mesenchymal stem cell-derived exosomal microRNA-382 promotes osteogenesis in osteoblast via regulation of SLIT2

Xiaoli Li, Xiaoli Li, Yulan Yang, 2023, Journal of Orthopaedic Surgery and Research.

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

Jie Ding, Zhenghua Chen, Min Wu, 2020, IEEE Transactions on Instrumentation and Measurement.

Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder

Jianxing Zheng, Xiaoli Li, Suge Wang, 2020, EMNLP.

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

Xing-Ming Zhao, Min Wu, Le Ou-Yang, 2020, Bioinform..

A novel signature of aging-related genes associated with lymphatic metastasis for survival prediction in patients with bladder cancer

Xiaoli Li, Deqian Liu, Zhiguo Zhu, 2023, Frontiers in Oncology.

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Xiaoli Li, C. Shi, Liqiang Nie, 2021, ACM Trans. Inf. Syst..

Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension

Xiaoli Li, Ru Li, Shaoru Guo, 2020, COLING.

A Frame-based Sentence Representation for Machine Reading Comprehension

Yong Guan, Ru Li, Shaoru Guo, 2020, ACL.

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

Ruichu Cai, Zhifeng Hao, Min Wu, 2021, IEEE Journal of Biomedical and Health Informatics.

A neural model for joint event detection and prediction

Linmei Hu, Xiaoli Li, Bin Wu, 2020, Neurocomputing.

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

Chiew Tong Lau, Syin Chan, Zhenghua Chen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Abnormal discharge detection using adaptive neuro-fuzzy inference method with probability density-based feature and modified subtractive clustering

Xiaoli Li, Guanhao Liang, Zhaoyang Huang, 2023, Neurocomputing.

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Lucas Vinh Tran, Yi Tay, G. Cong, 2018, WSDM.

Drug-target interaction prediction using ensemble learning and dimensionality reduction.

Min Wu, Chee-Keong Kwoh, Ali Ezzat, 2017, Methods.

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation

Gao Cong, Yi Tay, Xiaoli Li, 2018, SIGIR.

What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM

Juan-Zi Li, Xiaoli Li, Linmei Hu, 2017, AAAI.

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

Peng Yang, Xiaoli Li, Zhen Hai, 2016, EMNLP.

Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics

Xiaoli Li, Chunyu Bao, Minh Nhut Nguyen, 2012, IEEE Transactions on Reliability.

Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract

Deyu Li, Suge Wang, Yujie Fu, 2021, Neurocomputing.

A Chinese Web Page Classifier Based on Support Vector Machine and Unsupervised Clustering

Li Xiao, Xiaoli Li, 2001 .

Computational Prediction of Drug-Target Interactions via Ensemble Learning.

Min Wu, Xiaoli Li, Chee-Keong Kwoh, 2018, Methods in molecular biology.

Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation

Xiaoli Li, Sundaram Suresh, G. Sateesh Babu, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Frame-based Neural Network for Machine Reading Comprehension

Shaoru Guo, Hongye Tan, Xiaoli Li, 2021, Knowl. Based Syst..

Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification

Yang Li, Suge Wang, Deyu Li, 2020, IEEE Access.

Duplicate Avoidance in Depth-First Search with Applications to Treewidth

Richard E. Korf, P. Alex Dow, Xiaoli Li, 2009, IJCAI.

Learning from Positive and Unlabeled Examples with Different Data Distributions

Xiaoli Li, Bing Liu, B. Liu, 2005, ECML.

Text Classification by Labeling Words

Philip S. Yu, Xiaoli Li, Bing Liu, 2004, AAAI.

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications

Min Wu, Steven C. H. Hoi, Xiaoli Li, 2015, 2015 IEEE International Conference on Data Mining.

PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation

Xiaoli Li, Liying Wu, W. Shi, 2023, Frontiers in Cardiovascular Medicine.

A joint classification-regression method for multi-stage remaining useful life prediction

Jiyan Wu, Zhenghua Chen, Ruqiang Yan, 2021 .

Where you Instagram?: Associating Your Instagram Photos with Points of Interest

Xiaoli Li, Shonali Krishnaswamy, Gao Cong, 2015, CIKM.

MIKE: Keyphrase Extraction by Integrating Multidimensional Information

Xiaoli Li, Xiaoqing Liu, Yuxiang Zhang, 2017, CIKM.

Incorporating Expert Knowledge into Keyphrase Extraction

Peng Yang, Xiaoli Li, Sujatha Das Gollapalli, 2017, AAAI.

Extracellular Matrix and Protein Phosphorylation Dysregulation Related to Diabetes-Induced Erectile Dysfunction

Xiaoli Li, X-J Xuan, Deqian Liu, 2023, Andrologia.

Learning to Identify Unexpected Instances in the Test Set

See-Kiong Ng, Xiaoli Li, Bing Liu, 2007, IJCAI.

Lipopolysaccharide induces skin scarring through the TLR4/Myd88 inflammatory signaling pathway in dermal fibroblasts

Xiaoli Li, Yangang Zhang, Chuantao Cheng, 2023, Burns.

A two-layer integration framework for protein complex detection

Xiaoli Li, D. Dai, Le Ou-Yang, 2016, BMC Bioinformatics.

Deep learning for human activity recognition

Zhenghua Chen, Peilin Zhao, P. P. San, 2021, Neurocomputing.

Integrating diverse biological and computational sources for reliable protein-protein interactions

Chee Keong Kwoh, See-Kiong Ng, Xiaoli Li, 2010, BMC Bioinformatics.

Multi-domain Transfer Learning for Text Classification

Ru Li, Xiaoli Li, Xuefeng Su, 2020, NLPCC.

On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach

Xiaoli Li, Honghai Yu, Eran Shaham, 2016, SDM.

Tethered Multicopter Guidance in GPS-Denied Environments Through Reinforcement Learning

Xiaoli Li, Senthilnath Jayavelu, Amer Al-Radaideh, 2023, AIAA SCITECH 2023 Forum.

Incorporate opinion-towards for stance detection

Xiaoli Li, Deyu Li, Y. Li, 2022, Knowl. Based Syst..

Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset

See-Kiong Ng, Xiaoli Li, Soon-Heng Tan, 2005, ICCSA.

A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph

Xiaoli Li, Xiaohuan Cao, Bin Wu, 2018, PAKDD.

CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction

Xiaoli Li, Ru Li, Hongye Tan, 2020, Knowl. Based Syst..

People-Centric Mobile Crowdsensing Platform for Urban Design

Lu Li, Xiaoli Li, Shili Xiang, 2017, ADMA.

A refinement approach to handling model misfit in text categorization

Xiaoli Li, Haoran Wu, Bing Liu, 2002, KDD.

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions

Xinrun Wang, Xiaoli Li, Aye Phyu Phyu Aung, 2020, ICAPS.

FREERL: Fusion relation embedded representation learning framework for aspect extraction

Deyu Li, Jian Liao, Xiaoli Li, 2017, Knowl. Based Syst..

A divide and conquer framework for Knowledge Editing

Jeff Z. Pan, Xiaoli Li, Xiaoqi Han, 2023, Knowl. Based Syst..

Learning Correlative and Personalized Structure for Online Multi-Task Classification

Peng Yang, Xiaoli Li, Guangxia Li, 2016, SDM.

Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model

Suge Wang, Deyu Li, Xiaoli Li, 2020, IEEE Transactions on Knowledge and Data Engineering.

Entity Set Expansion with Meta Path in Knowledge Graph

Bin Wu, Xiaoli Li, Xiaohuan Cao, 2017, PAKDD.

A Meta Path Based Method for Entity Set Expansion in Knowledge Graph

Xiaohuan Cao, Chuan Shi, Bin Wu, 2022, IEEE Transactions on Big Data.

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

Xiaoli Li, Min Wu, Jian-Yu Shi, 2023, Bioinformatics.

RST Parsing from Scratch

Shafiq R. Joty, Shafiq Joty, Xuan-Phi Nguyen, 2021, NAACL.

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Disease gene classification with metagraph representations Disease gene classification with metagraph representations

Xiaoli Li, Xiaokui Xiao, Yuan Fang, 2020 .

Mahalanobis Distance Based Adversarial Network for Anomaly Detection

Yubo Hou, Zhenghua Chen, Min Wu, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Negative Training Data Can be Harmful to Text Classification

See-Kiong Ng, Xiaoli Li, Bing Liu, 2010, EMNLP.

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

Xiaoli Li, C. Kwoh, Min Wu, 2019, Briefings Bioinform..

Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts

Yan Zhang, Juan-Zi Li, Shuai Wang, 2018, PAKDD.

Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test

Juan-Zi Li, Xiaoli Li, Lei Hou, 2016, ECML/PKDD.

A Span-based Target-aware Relation Model for Frame-semantic Parsing

Xiaoli Li, Baobao Chang, Zhiwei Hu, 2022, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Interaction graph mining for protein complexes using local clique merging.

Chuan-Sheng Foo, Xiaoli Li, Soon-Heng Tan, 2005, Genome informatics. International Conference on Genome Informatics.

Differentiable Window for Dynamic Local Attention

Shafiq R. Joty, Xiaoli Li, Shafiq Joty, 2020, ACL.

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction

Xiaoli Li, W. Tam, Cuntai Guan, 2023, IJCAI.

Deep Learning for Building Occupancy Estimation Using Environmental Sensors

Yeng Chai Soh, Zhenghua Chen, Min Wu, 2020, Deep Learning: Algorithms and Applications.

An integrated framework for human activity classification

Xiaoli Li, Shonali Krishnaswamy, Hong Cao, 2012, UbiComp.

Integrative analyses reveal biological function and prognostic role of m7G methylation regulators in high-grade glioma

Xiaoli Li, Liang Shen, N. Li, 2023, Aging.

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

Min Wu, Zhenghua Chen, Jie Ding, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Low-rank decomposition meets kernel learning: A generalized Nyström method

Jun Wang, Wei Cheng, Xiaoli Li, 2017, Artif. Intell..

Biological Data Mining in Protein Interaction Networks

See-Kiong Ng, Xiaoli Li, Xiaoli Li, 2009 .

Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data

See-Kiong Ng, Xiaoli Li, Yin-Chet Tan, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).