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ORCIDDongxiao Zhu
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- affiliation: Wayne State University, Detroit, MI, USA
- affiliation (PhD 2006): University of Michigan, Ann Arbor, MI, USA
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Journal Articles
- 2021
[j26]Lu Wang, Dongxiao Zhu
:
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches. Data Min. Knowl. Discov. 35(3): 1134-1161 (2021)- 2019
- [j25]Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang, Dongxiao Zhu:
A Deep Active Survival Analysis approach for precision treatment recommendations: Application of prostate cancer. Expert Syst. Appl. 115: 16-26 (2019) - 2018
- [j24]Jie Zheng, Ling Gao, Haijun Zhang, Dongxiao Zhu, Hai Wang, Quanli Gao, Victor C. M. Leung:
Joint Energy Management and Interference Coordination With Max-Min Fairness in Ultra-Dense HetNets. IEEE Access 6: 32588-32600 (2018) - [j23]Shixing Chen, Ming Dong, Dongxiao Zhu:
Learning and Interpreting Features to Rank: A Case Study on Age Estimation. Int. J. Multim. Data Eng. Manag. 9(3): 17-36 (2018) - [j22]Xiangrui Li, Dongxiao Zhu, Phillip Levy:
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research. BMC Medical Informatics Decis. Mak. 18(S-4): 45-53 (2018) - [j21]Xiangrui Li, Dongxiao Zhu, Ming Dong:
Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognit. Lett. 101: 37-43 (2018) - [j20]Xiangrui Li, Dongxiao Zhu:
Robust feature selection via l2, 1-norm in finite mixture of regression. Pattern Recognit. Lett. 108: 15-22 (2018) - [j19]Lu Wang, Dongxiao Zhu, Ming Dong:
Clustering over-dispersed data with mixed feature types. Stat. Anal. Data Min. 11(2): 55-65 (2018) - 2017
- [j18]Raed Almomani, Ming Dong, Dongxiao Zhu:
Object tracking via Dirichlet process-based appearance models. Neural Comput. Appl. 28(5): 867-879 (2017) - [j17]Lu Wang, Lipi R. Acharya, Changxin Bai, Dongxiao Zhu:
Transcriptome assembly strategies for precision medicine. Quant. Biol. 5(4): 280-290 (2017) - [j16]Jiao Chen, Dongxiao Zhu, Yanni Sun:
Cap-seq reveals complicated miRNA transcriptional mechanisms in C. elegans and mouse. Quant. Biol. 5(4): 352-367 (2017) - 2015
- [j15]Lipi R. Acharya, Robert G. Reynolds, Dongxiao Zhu:
Network inference through synergistic subnetwork evolution. EURASIP J. Bioinform. Syst. Biol. 2015: 12 (2015) - [j14]Sarath Chandra Janga, Dongxiao Zhu, Jake Y. Chen, Mohammed J. Zaki:
Knowledge Discovery Using Big Data in Biomedical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 726-728 (2015) - 2012
- [j13]Lipi R. Acharya, Thair Judeh, Guangdi Wang, Dongxiao Zhu:
Optimal structural inference of signaling pathways from unordered and overlapping gene sets. Bioinform. 28(4): 546-556 (2012) - [j12]Lipi R. Acharya, Thair Judeh, Zhansheng Duan, Michael G. Rabbat, Dongxiao Zhu:
GSGS: A Computational Approach to Reconstruct Signaling Pathway Structures from Gene Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 438-450 (2012) - 2011
- [j11]Guorong Xu, Nan Deng, Zhiyu Zhao, Thair Judeh, Erik K. Flemington, Dongxiao Zhu:
SAMMate: a GUI tool for processing short read alignments in SAM/BAM format. Source Code Biol. Medicine 6: 2 (2011) - [j10]Dongxiao Zhu, Lipi R. Acharya, Hui Zhang:
A Generalized Multivariate Approach to Pattern Discovery from Replicated and Incomplete Genome-Wide Measurements. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1153-1169 (2011) - 2010
- [j9]Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao Zhu, Kun Zhang:
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. BMC Bioinform. 11: 338 (2010) - [j8]Dongxiao Zhu, Hua Li:
Improved Bayesian Network inference using relaxed gene ordering. Int. J. Data Min. Bioinform. 4(1): 44-59 (2010) - 2009
- [j7]Dongxiao Zhu:
Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data. BMC Bioinform. 10(S-1) (2009) - [j6]Kun Zhang, Wei Fan, Prescott Deininger, Andrea Edwards, Zujia Xu, Dongxiao Zhu:
Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. Int. J. Comput. Biol. Drug Des. 2(4): 302-322 (2009) - 2007
- [j5]Dongxiao Zhu, Youjuan Li, Hua Li:
Multivariate correlation estimator for inferring functional relationships from replicated genome-wide data. Bioinform. 23(17): 2298-2305 (2007) - [j4]Dongxiao Zhu, Alfred O. Hero III:
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation. J. Comput. Biol. 14(10): 1311-1326 (2007) - 2005
- [j3]Dongxiao Zhu, Alfred O. Hero III, Hong Cheng, Ritu Khanna, Anand Swaroop:
Network constrained clustering for gene microarray data. Bioinform. 21(21): 4014-4020 (2005) - [j2]Dongxiao Zhu, Zhaohui S. Qin:
Structural comparison of metabolic networks in selected single cell organisms. BMC Bioinform. 6: 8 (2005) - [j1]Dongxiao Zhu, Alfred O. Hero III, Zhaohui S. Qin, Anand Swaroop:
High Throughput Screening of Co-Expressed Gene Pairs with Controlled False Discovery Rate (FDR) and Minimum Acceptable Strength (MAS). J. Comput. Biol. 12(7): 1029-1045 (2005)
Conference and Workshop Papers
- 2024
- [c50]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo:
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. AAAI 2024: 17228-17236 - [c49]Wenqi Zheng, Emma Walquist, Isha Datey, Xiangyu Zhou, Kelly Berishaj, Melissa Mcdonald, Michele Parkhill, Dongxiao Zhu, Douglas Zytko:
"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. CHI 2024: 743:1-743:15 - [c48]Mohammad Peivandi, Jason Zhang, Michael Lu, Chengyin Li, Dongxiao Zhu, Zhifeng Kou:
Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation. ISBI 2024: 1-4 - [c47]Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov:
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. WWW 2024: 1519-1528 - 2023
- [c46]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. AAAI 2023: 8675-8683 - [c45]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI 2023: 446-454 - [c44]Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) 2023: 592-602 - [c43]Wenqi Zheng, Emma Walquist, Isha Datey, Xiangyu Zhou, Kelly Berishaj, Melissa Mcdonald, Michele Parkhill, Dongxiao Zhu, Douglas Zytko:
Towards Trauma-Informed Data Donation of Sexual Experience in Online Dating to Improve Sexual Risk Detection AI. UIST (Adjunct Volume) 2023: 39:1-39:3 - 2022
- [c42]Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu:
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI 2022: 732-739 - [c41]Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Tiny RNN Model with Certified Robustness for Text Classification. IJCNN 2022: 1-8 - [c40]Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu:
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS 2022 - [c39]Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu:
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation. ECML/PKDD (4) 2022: 3-19 - 2021
- [c38]Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI 2021: 8482-8490 - [c37]Deng Pan, Xin Li, Dongxiao Zhu:
Explaining Deep Neural Network Models with Adversarial Gradient Integration. IJCAI 2021: 2876-2883 - [c36]Xin Li, Deng Pan, Dongxiao Zhu:
Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection? ISBI 2021: 1677-1681 - 2020
- [c35]Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI 2020: 4739-4746 - [c34]Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. BIBM 2020: 1063-1067 - [c33]Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI 2020: 2690-2696 - [c32]Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN 2020: 1-8 - [c31]Xin Li, Dongxiao Zhu:
Robust Detection of Adversarial Attacks on Medical Images. ISBI 2020: 1154-1158 - [c30]Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural Networks. ISBI 2020: 1424-1427 - 2019
- [c29]Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu:
Prioritization of Multi-Level Risk Factors for Obesity. BIBM 2019: 1065-1072 - 2018
- [c28]Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong:
Obesity risk factors ranking using multi-task learning. BHI 2018: 385-388 - [c27]Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang:
Proteus: network-aware web browsing on heterogeneous mobile systems. CoNEXT 2018: 379-392 - [c26]Jie Zheng, Ling Gao, Dongxiao Zhu, Hai Wang, Qian Sun, Jinping Niu, Xiaoya Li, Jianfeng Yang:
Joint Energy-Efficient Optimization of Downlink and Uplink with eICIC in HetNet. IoTaaS 2018: 333-339 - 2017
- [c25]Xiangrui Li, Dongxiao Zhu, Phillip Levy:
Predictive deep network with leveraging clinical measure as auxiliary task. BIBM 2017: 786-791 - [c24]Xiangrui Li, Dongxiao Zhu, Ming Dong, Milad Zafar Nezhad, Alexander T. Janke, Phillip Levy:
SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors. CRI 2017 - [c23]Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye:
Multi-task Survival Analysis. ICDM 2017: 485-494 - [c22]Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li:
Modeling Over-Dispersion for Network Data Clustering. ICMLA 2017: 42-49 - [c21]Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levi:
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. ICMLA 2017: 755-760 - 2016
- [c20]Haotian Xu, Ming Dong, Dongxiao Zhu, Alexander Kotov, April Idalski Carcone, Sylvie Naar-King:
Text Classification with Topic-based Word Embedding and Convolutional Neural Networks. BCB 2016: 88-97 - [c19]Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy:
SAFS: A deep feature selection approach for precision medicine. BIBM 2016: 501-506 - [c18]Raed Almomani, Ming Dong, Dongxiao Zhu:
A Bayesian hierarchical appearance model for robust object tracking. ICME 2016: 1-6 - [c17]Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong:
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads. ISBRA 2016: 15-26 - 2014
- [c16]Yuliang Geng, Xue-wen Chen, Dongxiao Zhu:
A novel semi-supervised learning approach to analyzing metagenomic reads. BCB 2014: 629-630 - [c15]Thair Judeh, Thaer Jayyousi, Lipi R. Acharya, Robert G. Reynolds, Dongxiao Zhu:
GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach. IEEE Congress on Evolutionary Computation 2014: 2206-2213 - [c14]Nan Deng, Dongxiao Zhu:
dSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq. ISBRA 2014: 322-333 - 2013
- [c13]Tin Chi Nguyen, Dongxiao Zhu:
MarkovBin: An Algorithm to Cluster Metagenomic Reads Using a Mixture Modeling of Hierarchical Distributions. BCB 2013: 115 - [c12]Nan Deng, Dongxiao Zhu:
Detecting various types of differential splicing events using RNA-Seq data. BCB 2013: 124 - [c11]Thair Judeh, Thaer Jayyousi, Lipi R. Acharya, Robert G. Reynolds, Dongxiao Zhu:
Gene Set Cultural Algorithm: A Cultural Algorithm Approach to Reconstruct Networks from Gene Sets. BCB 2013: 641 - [c10]Nan Deng, Dongxiao Zhu:
RNA-Seq analyses to reveal the human transcriptome landscape. BCB 2013: 686 - 2012
- [c9]Thair Judeh, Tin Chi Nguyen, Dongxiao Zhu:
QSEA for fuzzy subgraph querying of KEGG pathways. BCB 2012: 474-481 - 2011
- [c8]Zhiyu Zhao, Tin Chi Nguyen, Nan Deng, Kristen Marie Johnson, Dongxiao Zhu:
SPATA: A seeding and patching algorithm for de novo transcriptome assembly. BIBM Workshops 2011: 26-33 - [c7]Tin Chi Nguyen, Nan Deng, Guorong Xu, Zhansheng Duan, Dongxiao Zhu:
iQuant: A fast yet accurate GUI tool for transcript quantification. BIBM Workshops 2011: 1048-1050 - [c6]Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu:
SPATA: A highly accurate GUI tool for de novo transcriptome assembly. BIBM Workshops 2011: 1051-1053 - 2009
- [c5]Dongxiao Zhu, Guorong Xu, Lipi R. Acharya:
A Generalized Multivariate Approach for Correlation-Based Pattern Discovery from Replicated Molecular Profiling Data. BIBM 2009: 405-410 - [c4]Lipi R. Acharya, Dongxiao Zhu:
Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models. ICMLA 2009: 119-124 - 2007
- [c3]Dongxiao Zhu, Hua Li:
Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering. ICMLA 2007: 600-605 - 2005
- [c2]Dongxiao Zhu, Alfred O. Hero III:
Gene coexpression network discovery with controlled statistical and biological significance. ICASSP (5) 2005: 369-372 - [c1]Dongxiao Zhu, Alfred O. Hero III:
Network constrained clustering for gene microarray data. ICASSP (5) 2005: 765-768
Parts in Books or Collections
- 2016
- [p1]Lipi R. Acharya, Dongxiao Zhu:
Gene-set-based inference of biological network topologies from big molecular profiling data. Big Data over Networks 2016: 391-408
Informal and Other Publications
- 2024
- [i33]Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu:
Learning to Poison Large Language Models During Instruction Tuning. CoRR abs/2402.13459 (2024) - 2023
- [i32]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. CoRR abs/2301.06989 (2023) - [i31]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR abs/2301.13803 (2023) - [i30]Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu:
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. CoRR abs/2308.14936 (2023) - [i29]Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang:
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR abs/2309.05088 (2023) - [i28]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Interpretability-Aware Vision Transformer. CoRR abs/2309.08035 (2023) - [i27]Yao Qiang, Xiangyu Zhou, Dongxiao Zhu:
Hijacking Large Language Models via Adversarial In-Context Learning. CoRR abs/2311.09948 (2023) - [i26]Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu:
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure. CoRR abs/2311.11319 (2023) - [i25]Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu:
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR abs/2311.12652 (2023) - [i24]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo:
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks. CoRR abs/2312.13630 (2023) - 2022
- [i23]Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu:
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. CoRR abs/2209.04326 (2022) - [i22]Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images. CoRR abs/2210.03189 (2022) - [i21]Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu:
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation. CoRR abs/2210.12693 (2022) - [i20]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. CoRR abs/2211.13332 (2022) - 2021
- [i19]Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. CoRR abs/2101.05624 (2021) - 2020
- [i18]Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu:
Improve SGD Training via Aligning Mini-batches. CoRR abs/2002.09917 (2020) - [i17]Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR abs/2003.02309 (2020) - [i16]Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR abs/2003.09986 (2020) - [i15]Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. CoRR abs/2004.03042 (2020) - [i14]Xin Li, Deng Pan, Dongxiao Zhu:
Defending against adversarial attacks on medical imaging AI system, classification or detection? CoRR abs/2006.13555 (2020) - [i13]Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR abs/2007.06133 (2020) - [i12]Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR abs/2012.07688 (2020) - 2019
- [i11]Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang:
Multi-task Prediction of Patient Workload. CoRR abs/1901.00746 (2019) - [i10]Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks. CoRR abs/1906.03691 (2019) - [i9]Xiangrui Li, Dongxiao Zhu:
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification. CoRR abs/1906.04026 (2019) - [i8]Xin Li, Rui Cao, Dongxiao Zhu:
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays. CoRR abs/1906.05190 (2019) - [i7]Lu Wang, Dongxiao Zhu:
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches. CoRR abs/1907.12508 (2019) - 2018
- [i6]Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang:
A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study. CoRR abs/1801.02961 (2018) - [i5]Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang, Dongxiao Zhu:
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer. CoRR abs/1804.03280 (2018) - 2017
- [i4]Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy:
SAFS: A Deep Feature Selection Approach for Precision Medicine. CoRR abs/1704.05960 (2017) - [i3]Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levy:
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. CoRR abs/1709.09929 (2017) - 2013
- [i2]Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu:
SPATA: A Seeding and Patching Algorithm for Hybrid Transcriptome Assembly. CoRR abs/1306.1511 (2013) - 2012
- [i1]Tin Chi Nguyen, Nan Deng, Dongxiao Zhu:
SASeq: A Selective and Adaptive Shrinkage Approach to Detect and Quantify Active Transcripts using RNA-Seq. CoRR abs/1208.3619 (2012)
Coauthor Index
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