General
Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences.
Professor
E-mail: hpw@ms.xjb.ac.cn
Mailing Address: 40-1 South Beijing Road, Urumqi, Xinjiang, 830011
Research Areas
Artificial Intelligence, Bioinformatics, Digital Health, Organoids
Education
PhD, Computer Science, The HongKong Polytechnic University
Experience
Work Experience
2023-11~ Present, Professor, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences
2020-10~2022-09, Lead Scientist of Artificial Intelligence, Merck Group, Germany
2019-03~2020-10, Research Scientist, IBM
Publications
Papers
（1） Predicting Drug-Target Interactions Over Heterogeneous Information Network, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023
（2） PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023
（3） An Improved Graph Isomorphism Network for Accurate Prediction of Drug–Drug Interactions, MATHEMATICS, 2023
（4） Enhancing the conversational agent with an emotional support system for mental health digital therapeutics, FRONTIERS IN PSYCHIATRY, 2023
（5） Knowledge graph embedding for profiling the interaction between transcription factors and their target genes, PLOS COMPUTATIONAL BIOLOGY, 2023
（6） iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network, BIOINFORMATICS, 2023
（7） A survey of transformer-based multimodal pre-trained modals, NEUROCOMPUTING, 2023
（8） Investigating the relationships between emotional experiences and behavioral responses amid the Covid‐19 pandemic: A cross‐sectional survey, HEALTH CARE SCIENCE, 2023
（9） A novel cuproptosis-related diagnostic gene signature and differential expression validation in atherosclerosis, MOLECULAR BIOMEDICINE, 2023
（10） Artificial intelligence accelerates multi-modal biomedical process: A Survey, NEUROCOMPUTING, 2023
（11） A geometric deep learning framework for drug repositioning over heterogeneous information networks, BRIEFINGS IN BIOINFORMATICS, 2022
（12） Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction, BMC BIOINFORMATICS, 2022
（13） Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions, BRIEFINGS IN BIOINFORMATICS, 2022
（14） A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2, BRIEFINGS IN BIOINFORMATICS, 2022
（15） Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach, BMC BIOINFORMATICS, 2022
（16） B-AT-KD: Binary attention map knowledge distillation, NEUROCOMPUTING, 2022
（17） Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19, HEALTH COMMUNICATION, 2022
（18） Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022
（19） A survey on computational models for predicting protein-protein interactions, BRIEFINGS IN BIOINFORMATICS, 2021
（20） Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning, BRIEFINGS IN BIOINFORMATICS, 2021
（21） Exploiting higher-order patterns for community detection in attributed graphs, INTEGRATED COMPUTER-AIDED ENGINEERING, 2021
（22） A Novel Network-Based Algorithm for Predicting Protein-Protein Interactions Using Gene Ontology, FRONTIERS IN MICROBIOLOGY, 2021
（23） Multi-source propagation aware network clustering☆, NEUROCOMPUTING, 2021
（24） Profiling MicroRNA (miRNA) and Metabolic Disease Association by Using Diffusion Model, DIABETES, 2020
（25） Diversifying Dialogue Generation with Non-Conversational Text, 2020
（26） Graph convolution for predicting associations between miRNA and drug resistance, BIOINFORMATICS, 2020
（27） Development and Validation of a Predictive Major Adverse Cardiac Events (MACE) Risk Model for Diabetes Patients with Acute Coronary Syndrome (ACS), DIABETES, 2020
（28） A Cross-Cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health Among College Students: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020
（29） Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020
（30） Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020
（31） AUTOMATIC DEPRESSION DETECTION VIA FACIAL EXPRESSIONS USING MULTIPLE INSTANCE LEARNING, 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020
（32） Chinese Public’s Engagement in Preventive and Intervening Health Behaviors During the Early Breakout of COVID-19: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020
（33） Uncovering the Disease Progression Profile of the Patients with Type 2 Diabetes Mellitus and Atrial Fibrillation, DIABETES, 2020
（34） Effect of SGLT2 on Cardiovascular Events in Type 2 Diabetic Patients with Atrial Fibrillation, DIABETES, 2020
（35） Learning from low-rank multimodal representations for predicting disease-drug associations, BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022
（36） Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter, BMC GENOMICS, 2019
（37） Improving Multi-turn Dialogue Modelling with Utterance ReWriter, 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)
（38） Dialogue Generation with GAN, THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018
（39） Learning Deep Representations in Large Integrated Network for Graph Clustering, 2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE), 2018
（40） Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction, PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018
（41） Predicting Drug-Target Interactions Based on Small Positive Samples, CURRENT PROTEIN & PEPTIDE SCIENCE, 2018
（42） Learning Latent Factors for Community Identification and Summarization, IEEEACCESS, 2018
（43） Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions, INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018
（44） Deep Fusion of Multiple Networks for Learning Latent Social Communities, 2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017)
（45） Deep Graph Clustering in Social Network, WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017
（46） Efficiently predicting large-scale protein-protein interactions using MapReduce, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017
（47） Discovering second-order sub-structure associations in drug molecules for side-effect prediction, IEEE BIBM, 2017
（48） Large-Scale Prediction of Drug-Target Interactions from Deep Representations, 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016
（49） Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features, NEUROCOMPUTING
（50） Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest, PLOS ONE, 2015
（2） PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023
（3） An Improved Graph Isomorphism Network for Accurate Prediction of Drug–Drug Interactions, MATHEMATICS, 2023
（4） Enhancing the conversational agent with an emotional support system for mental health digital therapeutics, FRONTIERS IN PSYCHIATRY, 2023
（5） Knowledge graph embedding for profiling the interaction between transcription factors and their target genes, PLOS COMPUTATIONAL BIOLOGY, 2023
（6） iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network, BIOINFORMATICS, 2023
（7） A survey of transformer-based multimodal pre-trained modals, NEUROCOMPUTING, 2023
（8） Investigating the relationships between emotional experiences and behavioral responses amid the Covid‐19 pandemic: A cross‐sectional survey, HEALTH CARE SCIENCE, 2023
（9） A novel cuproptosis-related diagnostic gene signature and differential expression validation in atherosclerosis, MOLECULAR BIOMEDICINE, 2023
（10） Artificial intelligence accelerates multi-modal biomedical process: A Survey, NEUROCOMPUTING, 2023
（11） A geometric deep learning framework for drug repositioning over heterogeneous information networks, BRIEFINGS IN BIOINFORMATICS, 2022
（12） Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction, BMC BIOINFORMATICS, 2022
（13） Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions, BRIEFINGS IN BIOINFORMATICS, 2022
（14） A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2, BRIEFINGS IN BIOINFORMATICS, 2022
（15） Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach, BMC BIOINFORMATICS, 2022
（16） B-AT-KD: Binary attention map knowledge distillation, NEUROCOMPUTING, 2022
（17） Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19, HEALTH COMMUNICATION, 2022
（18） Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022
（19） A survey on computational models for predicting protein-protein interactions, BRIEFINGS IN BIOINFORMATICS, 2021
（20） Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning, BRIEFINGS IN BIOINFORMATICS, 2021
（21） Exploiting higher-order patterns for community detection in attributed graphs, INTEGRATED COMPUTER-AIDED ENGINEERING, 2021
（22） A Novel Network-Based Algorithm for Predicting Protein-Protein Interactions Using Gene Ontology, FRONTIERS IN MICROBIOLOGY, 2021
（23） Multi-source propagation aware network clustering☆, NEUROCOMPUTING, 2021
（24） Profiling MicroRNA (miRNA) and Metabolic Disease Association by Using Diffusion Model, DIABETES, 2020
（25） Diversifying Dialogue Generation with Non-Conversational Text, 2020
（26） Graph convolution for predicting associations between miRNA and drug resistance, BIOINFORMATICS, 2020
（27） Development and Validation of a Predictive Major Adverse Cardiac Events (MACE) Risk Model for Diabetes Patients with Acute Coronary Syndrome (ACS), DIABETES, 2020
（28） A Cross-Cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health Among College Students: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020
（29） Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020
（30） Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020
（31） AUTOMATIC DEPRESSION DETECTION VIA FACIAL EXPRESSIONS USING MULTIPLE INSTANCE LEARNING, 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020
（32） Chinese Public’s Engagement in Preventive and Intervening Health Behaviors During the Early Breakout of COVID-19: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020
（33） Uncovering the Disease Progression Profile of the Patients with Type 2 Diabetes Mellitus and Atrial Fibrillation, DIABETES, 2020
（34） Effect of SGLT2 on Cardiovascular Events in Type 2 Diabetic Patients with Atrial Fibrillation, DIABETES, 2020
（35） Learning from low-rank multimodal representations for predicting disease-drug associations, BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022
（36） Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter, BMC GENOMICS, 2019
（37） Improving Multi-turn Dialogue Modelling with Utterance ReWriter, 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)
（38） Dialogue Generation with GAN, THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018
（39） Learning Deep Representations in Large Integrated Network for Graph Clustering, 2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE), 2018
（40） Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction, PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018
（41） Predicting Drug-Target Interactions Based on Small Positive Samples, CURRENT PROTEIN & PEPTIDE SCIENCE, 2018
（42） Learning Latent Factors for Community Identification and Summarization, IEEEACCESS, 2018
（43） Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions, INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018
（44） Deep Fusion of Multiple Networks for Learning Latent Social Communities, 2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017)
（45） Deep Graph Clustering in Social Network, WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017
（46） Efficiently predicting large-scale protein-protein interactions using MapReduce, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017
（47） Discovering second-order sub-structure associations in drug molecules for side-effect prediction, IEEE BIBM, 2017
（48） Large-Scale Prediction of Drug-Target Interactions from Deep Representations, 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016
（49） Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features, NEUROCOMPUTING
（50） Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest, PLOS ONE, 2015
Students
现指导学生
杨希文 硕士研究生 081203-计算机应用技术
尤璐 硕士研究生 085404-计算机技术