Pingzhao Hu - RankMe

48 papers A* 1B 1C 1Misc 1Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Study of Adaptive Modeling Towards Robust Generalization. CoRR Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Yi Li, Yan Sun, Boyu Wang, Pingzhao Hu
2026	J	`jnl`	Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks. CoRR Alana Deng, Sugitha Janarthanan, Yan Sun, Zihao Jing, Pingzhao Hu
2026	J	`jnl`	Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding. CoRR Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun, Boyu Wang, Pingzhao Hu
2026	J	`jnl`	MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design. CoRR Gen Zhou, Sugitha Janarthanan, Lianghong Chen, Pingzhao Hu
2025	J	`jnl`	An interpretable deep geometric learning model to predict the effects of mutations on protein-protein interactions using large-scale protein language model. J. Cheminformatics Caiya Zhang, Yan Sun, Pingzhao Hu
2025	A*	`conf`	CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening. ICLR Gen Zhou, Sugitha Janarthanan, Yutong Lu, Pingzhao Hu
2025	J	`jnl`	CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening. CoRR Gen Zhou, Sugitha Janarthanan, Yutong Lu, Pingzhao Hu
2025	J	`jnl`	Enhanced Interpretable Neural Network Approach for Unified Batch Effect Mitigation and Disease Classification Using Cross-Cohort Microbiome Profiles. J. Comput. Biol. Daryl L. X. Fung, Mohd Wasif Khan, Carson Kai-Sang Leung, Pingzhao Hu
2025	J	`jnl`	FusionCLM: enhanced molecular property prediction via knowledge fusion of chemical language models. J. Cheminformatics Yutong Lu, Yan Yi Li, Yan Sun, Pingzhao Hu
2025	J	`jnl`	Generative AI for the Design of Molecules: Advances and Challenges. J. Chem. Inf. Model. Yan Sun, Lianghong Chen, Zihao Jing, Yan Yi Li, Dongkyu Kim, Jing-Yan Gao, Reza Noroozi, Grace Y. Yi, Conrard Giresse Tetsassi Feugmo, Anna Klinkova, Kyla Sask, Agustinus Kristiadi, Boyu Wang, Elizabeth R. Gillies, Kun Ping Lu, Haotian Harvey Shi, Pingzhao Hu
2025	J	`jnl`	MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability. CoRR Yan Sun, Yutong Lu, Yan Yi Li, Zihao Jing, Carson K. Leung, Pingzhao Hu
2025	J	`jnl`	Out of distribution learning in bioinformatics: advancements and challenges. Briefings Bioinform. Yu Shi, Wei Xu, Pingzhao Hu
2025	J	`jnl`	Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning. CoRR Zihao Jing, Yan Sun, Yan Yi Li, Sugitha Janarthanan, Alana Deng, Pingzhao Hu
2025	J	`jnl`	Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design. CoRR Lianghong Chen, Dongkyu Eugene Kim, Mike Domaratzki, Pingzhao Hu
2024	J	`jnl`	Computational frameworks integrating deep learning and statistical models in mining multimodal omics data. J. Biomed. Informatics Leann Lac, Carson K. Leung, Pingzhao Hu
2024	J	`jnl`	Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancer. PLoS Comput. Biol. Lianghong Chen, Zi Huai Huang, Yan Sun, Mike Domaratzki, Qian Liu, Pingzhao Hu
2024	J	`jnl`	ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning. PLoS Comput. Biol. Youcheng Li, Leann Lac, Qian Liu, Pingzhao Hu
2024	J	`jnl`	iNGNN-DTI: prediction of drug-target interaction with interpretable nested graph neural network and pretrained molecule models. Bioinform. Yan Sun, Yan Yi Li, Carson K. Leung, Pingzhao Hu
2023	J	`jnl`	ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction. J. Cheminformatics Chengyou Liu, Yan Sun, Rebecca L. Davis, Silvia T. Cardona, Pingzhao Hu
2023	—	`conf`	Patch-based deep learning models for breast mammographic mass classification. ICBBT Wentao Xie, Qian Liu, Yongye Su, Yi Yan, Shujun Huang, Qin Kuang, Pingzhao Hu
2023	J	`jnl`	scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Mach. Learn. Sci. Technol. Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung, Pingzhao Hu
2022	J	`jnl`	A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery. PLoS Comput. Biol. A. S. M. Zisanur Rahman, Chengyou Liu, Hunter Sturm, Andrew M. Hogan, Rebecca L. Davis, Pingzhao Hu, Silvia T. Cardona
2022	J	`jnl`	Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. J. Biomed. Informatics Qian Liu, Bowen Cheng, Yongwon Jin, Pingzhao Hu
2022	J	`jnl`	Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means. BMC Bioinform. Hamid Hadipour, Chengyou Liu, Rebecca L. Davis, Silvia T. Cardona, Pingzhao Hu
2022	J	`jnl`	Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles. J. Cheminformatics Chengyou Liu, Andrew M. Hogan, Hunter Sturm, Mohd Wasif Khan, Md. Mohaiminul Islam, A. S. M. Zisanur Rahman, Rebecca L. Davis, Silvia T. Cardona, Pingzhao Hu
2022	—	`conf`	Molecular Property Prediction based on Bimodal Supervised Contrastive Learning. BIBM Yan Sun, Md. Mohaiminul Islam, Ehsan Zahedi, Mélaine Kuenemann, Hassan Chouaib, Pingzhao Hu
2022	J	`jnl`	Semi-supervised COVID-19 CT image segmentation using deep generative models. BMC Bioinform. Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu
2022	J	`jnl`	Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction. Bioinform. Jasper Zhongyuan Zhang, Wei Xu, Pingzhao Hu
2022	J	`jnl`	YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms. Comput. Methods Programs Biomed. Yongye Su, Qian Liu, Wentao Xie, Pingzhao Hu
2020	J	`jnl`	A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images. IEEE Access Qian Liu, Carson K. Leung, Pingzhao Hu
2020	J	`jnl`	DTF: Deep Tensor Factorization for predicting anticancer drug synergy. Bioinform. Zexuan Sun, Shujun Huang, Peiran Jiang, Pingzhao Hu, Zhiyong Lu
2019	—	`conf`	Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data. Canadian AI Rayhan Shikder, Pourang Irani, Pingzhao Hu
2019	Misc	`conf`	Predicting Drug-Drug Interactions Using Deep Neural Network. ICMLC Xinyu Hou, Jiaying You, Pingzhao Hu
2019	J	`jnl`	Predicting drug-target interaction network using deep learning model. Comput. Biol. Chem. Jiaying You, Robert D. McLeod, Pingzhao Hu
2018	J	`jnl`	An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. BMC Bioinform. Ryohei Eguchi, Mohammad Bozlul Karim, Pingzhao Hu, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2018	—	`conf`	Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model. Canadian AI Jiaying You, Md. Mohaiminul Islam, Liam Grenier, Qin Kuang, Robert D. McLeod, Pingzhao Hu
2017	—	`conf`	Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model. Canadian AI Md. Mohaiminul Islam, Rasif Ajwad, Chen Chi, Michael Domaratzki, Yang Wang, Pingzhao Hu
2015	J	`jnl`	Discriminative learning of generative models: large margin multinomial mixture models for document classification. Pattern Anal. Appl. Hui Jiang, Zhen-Yu Pan, Pingzhao Hu
2012	J	`jnl`	Gene network modular-based classification of microarray samples. BMC Bioinform. Pingzhao Hu, Shelley B. Bull, Hui Jiang
2011	—	`conf`	Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data. ISBRA Pingzhao Hu, Shelley B. Bull, Hui Jiang
2010	J	`jnl`	Predicting protein functions by relaxation labelling protein interaction network. BMC Bioinform. Pingzhao Hu, Hui Jiang, Andrew Emili
2009	J	`jnl`	A flexible approximate likelihood ratio test for detecting differential expression in microarray data. Comput. Stat. Data Anal. Ahmed Hossain, Joseph Beyene, Andrew R. Willan, Pingzhao Hu
2009	J	`jnl`	Using the ratio of means as the effect size measure in combining results of microarray experiments. BMC Syst. Biol. Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
2006	C	`conf`	Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer. CIBCB Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
2006	J	`jnl`	Statistical Methods for Meta-Analysis of Microarray Data: A Comparative Study. Inf. Syst. Frontiers Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
2005	J	`jnl`	Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models. BMC Bioinform. Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
2003	B	`conf`	Predicting intrusions with local linear models. IJCNN Pingzhao Hu, Malcolm I. Heywood
2002	J	`jnl`	An empirical test of the competing destinations model. J. Geogr. Syst. Pingzhao Hu, Jim Pooler