Dongxiao Zhu

Orcid: 0000-0002-0225-7817

Affiliations:
  • Wayne State University, Detroit, MI, USA
  • University of Michigan, Ann Arbor, MI, USA (PhD 2006)


According to our database1, Dongxiao Zhu authored at least 98 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19.
CoRR, 2024

Learning to Poison Large Language Models During Instruction Tuning.
CoRR, 2024

Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph.
Proceedings of the ACM on Web Conference 2024, 2024

Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fairness-Aware Vision Transformer via Debiased Self-Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

"It's Not What We Were Trying to Get At, but I Think Maybe It Should Be": Learning How to Do Trauma-Informed Design with a Data Donation Platform for Online Dating Sexual Violence.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning.
CoRR, 2023

GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure.
CoRR, 2023

Hijacking Large Language Models via Adversarial In-Context Learning.
CoRR, 2023

Interpretability-Aware Vision Transformer.
CoRR, 2023

Towards Trustworthy Artificial Intelligence for Equitable Global Health.
CoRR, 2023

Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation.
CoRR, 2023

Towards Trauma-Informed Data Donation of Sexual Experience in Online Dating to Improve Sexual Risk Detection AI.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Negative Flux Aggregation to Estimate Feature Attributions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Compact Features via In-Training Representation Alignment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images.
CoRR, 2022

Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System.
CoRR, 2022

Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

AttCAT: Explaining Transformers via Attentive Class Activation Tokens.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tiny RNN Model with Certified Robustness for Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches.
Data Min. Knowl. Discov., 2021

Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification.
CoRR, 2021

Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection?
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Explaining Deep Neural Network Models with Adversarial Gradient Integration.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray.
CoRR, 2020

Improve SGD Training via Aligning Mini-batches.
CoRR, 2020

Robust Detection of Adversarial Attacks on Medical Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Deep Active Survival Analysis approach for precision treatment recommendations: Application of prostate cancer.
Expert Syst. Appl., 2019

Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches.
CoRR, 2019

Vispi: Automatic Visual Perception and Interpretation of Chest X-rays.
CoRR, 2019

CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification.
CoRR, 2019

Multi-task Prediction of Patient Workload.
CoRR, 2019

Prioritization of Multi-Level Risk Factors for Obesity.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Clustering over-dispersed data with mixed feature types.
Stat. Anal. Data Min., 2018

Multinomial classification with class-conditional overlapping sparse feature groups.
Pattern Recognit. Lett., 2018

Robust feature selection via <i>l</i><sub>2, 1</sub>-norm in finite mixture of regression.
Pattern Recognit. Lett., 2018

Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.
BMC Medical Informatics Decis. Mak., 2018

Learning and Interpreting Features to Rank: A Case Study on Age Estimation.
Int. J. Multim. Data Eng. Manag., 2018

A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study.
CoRR, 2018

Joint Energy Management and Interference Coordination With Max-Min Fairness in Ultra-Dense HetNets.
IEEE Access, 2018

Joint Energy-Efficient Optimization of Downlink and Uplink with eICIC in HetNet.
Proceedings of the IoT as a Service - 4th EAI International Conference, 2018

Proteus: network-aware web browsing on heterogeneous mobile systems.
Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies, 2018

Obesity risk factors ranking using multi-task learning.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Transcriptome assembly strategies for precision medicine.
Quant. Biol., 2017

Cap-seq reveals complicated miRNA transcriptional mechanisms in C. elegans and mouse.
Quant. Biol., 2017

Object tracking via Dirichlet process-based appearance models.
Neural Comput. Appl., 2017

Modeling Over-Dispersion for Network Data Clustering.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors.
Proceedings of the Summit on Clinical Research Informatics, 2017

Predictive deep network with leveraging clinical measure as auxiliary task.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

A Bayesian hierarchical appearance model for robust object tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

SAFS: A deep feature selection approach for precision medicine.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Text Classification with Topic-based Word Embedding and Convolutional Neural Networks.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

Gene-set-based inference of biological network topologies from big molecular profiling data.
Proceedings of the Big Data over Networks, 2016

2015
Knowledge Discovery Using Big Data in Biomedical Systems.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Network inference through synergistic subnetwork evolution.
EURASIP J. Bioinform. Syst. Biol., 2015

2014
dSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A novel semi-supervised learning approach to analyzing metagenomic reads.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
SPATA: A Seeding and Patching Algorithm for Hybrid Transcriptome Assembly.
CoRR, 2013

MarkovBin: An Algorithm to Cluster Metagenomic Reads Using a Mixture Modeling of Hierarchical Distributions.
Proceedings of the ACM Conference on Bioinformatics, 2013

Gene Set Cultural Algorithm: A Cultural Algorithm Approach to Reconstruct Networks from Gene Sets.
Proceedings of the ACM Conference on Bioinformatics, 2013

RNA-Seq analyses to reveal the human transcriptome landscape.
Proceedings of the ACM Conference on Bioinformatics, 2013

Detecting various types of differential splicing events using RNA-Seq data.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
GSGS: A Computational Approach to Reconstruct Signaling Pathway Structures from Gene Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

SASeq: A Selective and Adaptive Shrinkage Approach to Detect and Quantify Active Transcripts using RNA-Seq
CoRR, 2012

Optimal structural inference of signaling pathways from unordered and overlapping gene sets.
Bioinform., 2012

<i>QSEA</i> for fuzzy subgraph querying of KEGG pathways.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
A Generalized Multivariate Approach to Pattern Discovery from Replicated and Incomplete Genome-Wide Measurements.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

SAMMate: a GUI tool for processing short read alignments in SAM/BAM format.
Source Code Biol. Medicine, 2011

SPATA: A seeding and patching algorithm for de novo transcriptome assembly.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

SPATA: A highly accurate GUI tool for de novo transcriptome assembly.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

iQuant: A fast yet accurate GUI tool for transcript quantification.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Improved Bayesian Network inference using relaxed gene ordering.
Int. J. Data Min. Bioinform., 2010

svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification.
BMC Bioinform., 2010

2009
Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation.
Int. J. Comput. Biol. Drug Des., 2009

Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data.
BMC Bioinform., 2009

Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models.
Proceedings of the International Conference on Machine Learning and Applications, 2009

A Generalized Multivariate Approach for Correlation-Based Pattern Discovery from Replicated Molecular Profiling Data.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2007
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation.
J. Comput. Biol., 2007

Multivariate correlation estimator for inferring functional relationships from replicated genome-wide data.
Bioinform., 2007

Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2005
High Throughput Screening of Co-Expressed Gene Pairs with Controlled False Discovery Rate (FDR) and Minimum Acceptable Strength (MAS).
J. Comput. Biol., 2005

Structural comparison of metabolic networks in selected single cell organisms.
BMC Bioinform., 2005

Network constrained clustering for gene microarray data.
Bioinform., 2005

Network constrained clustering for gene microarray data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Gene coexpression network discovery with controlled statistical and biological significance.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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