Dongxiao Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 77

Top Venues

Publications

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)
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)
Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. WWW (2024)
Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu
Learning to Poison Large Language Models During Instruction Tuning. CoRR (2024)
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI (2023)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. AAAI (2023)
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR (2023)
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 (2023)
Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR (2023)
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. CoRR (2023)
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 (2023)
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)
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)
Yao Qiang, Xiangyu Zhou, Dongxiao Zhu
Hijacking Large Language Models via Adversarial In-Context Learning. CoRR (2023)
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
Interpretability-Aware Vision Transformer. CoRR (2023)
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 (2023)
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 (2023)
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 (2022)
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
Tiny RNN Model with Certified Robustness for Text Classification. IJCNN (2022)
Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS (2022)
Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI (2022)
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 (2022)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. CoRR (2022)
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)
Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images. CoRR (2022)
Xin Li, Deng Pan, Dongxiao Zhu
Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection? ISBI (2021)
Lu Wang, Dongxiao Zhu
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches. Data Min. Knowl. Discov. 35 (3) (2021)
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. CoRR (2021)
Deng Pan, Xin Li, Dongxiao Zhu
Explaining Deep Neural Network Models with Adversarial Gradient Integration. IJCAI (2021)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI (2021)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI (2020)
Xin Li, Dongxiao Zhu
Robust Detection of Adversarial Attacks on Medical Images. ISBI (2020)
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu
Improve SGD Training via Aligning Mini-batches. CoRR (2020)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR (2020)
Xin Li, Chengyin Li, Dongxiao Zhu
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. BIBM (2020)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR (2020)
Xin Li, Chengyin Li, Dongxiao Zhu
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. CoRR (2020)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR (2020)
Xin Li, Deng Pan, Dongxiao Zhu
Defending against adversarial attacks on medical imaging AI system, classification or detection? CoRR (2020)
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)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN (2020)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI (2020)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR (2020)
Lu Wang, Dongxiao Zhu
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches. CoRR (2019)
Xin Li, Rui Cao, Dongxiao Zhu
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays. CoRR (2019)
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 (2019)
Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu
Prioritization of Multi-Level Risk Factors for Obesity. BIBM (2019)
Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang
Multi-task Prediction of Patient Workload. CoRR (2019)
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 (2019)
Xiangrui Li, Dongxiao Zhu
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification. CoRR (2019)
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)
Xiangrui Li, Dongxiao Zhu
-norm in finite mixture of regression. Pattern Recognit. Lett. 108 (2018)
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)
Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang, Dongxiao Zhu
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer. CoRR (2018)
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) (2018)
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) (2018)
Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong
Obesity risk factors ranking using multi-task learning. BHI (2018)
Lu Wang, Dongxiao Zhu, Ming Dong
Clustering over-dispersed data with mixed feature types. Stat. Anal. Data Min. 11 (2) (2018)
Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang
A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study. CoRR (2018)
Xiangrui Li, Dongxiao Zhu, Ming Dong
Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognit. Lett. 101 (2018)
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 (2018)
Raed Almomani, Ming Dong, Dongxiao Zhu
Object tracking via Dirichlet process-based appearance models. Neural Comput. Appl. 28 (5) (2017)
Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levi
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. ICMLA (2017)
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
SAFS: A Deep Feature Selection Approach for Precision Medicine. CoRR (2017)
Lu Wang, Lipi R. Acharya, Changxin Bai, Dongxiao Zhu
Transcriptome assembly strategies for precision medicine. Quant. Biol. 5 (4) (2017)
Xiangrui Li, Dongxiao Zhu, Phillip Levy
Predictive deep network with leveraging clinical measure as auxiliary task. BIBM (2017)
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)
Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levy
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. CoRR (2017)
Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye
Multi-task Survival Analysis. ICDM (2017)
Jiao Chen, Dongxiao Zhu, Yanni Sun
Cap-seq reveals complicated miRNA transcriptional mechanisms in C. elegans and mouse. Quant. Biol. 5 (4) (2017)
Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li
Modeling Over-Dispersion for Network Data Clustering. ICMLA (2017)
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)
Raed Almomani, Ming Dong, Dongxiao Zhu
A Bayesian hierarchical appearance model for robust object tracking. ICME (2016)
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)
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
SAFS: A deep feature selection approach for precision medicine. BIBM (2016)
Lipi R. Acharya, Robert G. Reynolds, Dongxiao Zhu
Network inference through synergistic subnetwork evolution. EURASIP J. Bioinform. Syst. Biol. 2015 (2015)
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) (2015)
Yuliang Geng, Xue-wen Chen, Dongxiao Zhu
A novel semi-supervised learning approach to analyzing metagenomic reads. BCB (2014)
Nan Deng, Dongxiao Zhu
dSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq. ISBRA (2014)
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)
Nan Deng, Dongxiao Zhu
Detecting various types of differential splicing events using RNA-Seq data. BCB (2013)
Tin Chi Nguyen, Dongxiao Zhu
MarkovBin: An Algorithm to Cluster Metagenomic Reads Using a Mixture Modeling of Hierarchical Distributions. BCB (2013)
Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu
SPATA: A Seeding and Patching Algorithm for Hybrid Transcriptome Assembly. CoRR (2013)
Nan Deng, Dongxiao Zhu
RNA-Seq analyses to reveal the human transcriptome landscape. BCB (2013)
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)
Tin Chi Nguyen, Nan Deng, Dongxiao Zhu
SASeq: A Selective and Adaptive Shrinkage Approach to Detect and Quantify Active Transcripts using RNA-Seq CoRR (2012)
Lipi R. Acharya, Thair Judeh, Guangdi Wang, Dongxiao Zhu
Optimal structural inference of signaling pathways from unordered and overlapping gene sets. Bioinform. 28 (4) (2012)
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) (2012)
Thair Judeh, Tin Chi Nguyen, Dongxiao Zhu
for fuzzy subgraph querying of KEGG pathways. BCB (2012)
Tin Chi Nguyen, Zhiyu Zhao, Dongxiao Zhu
SPATA: A highly accurate GUI tool for de novo transcriptome assembly. BIBM Workshops (2011)
Tin Chi Nguyen, Nan Deng, Guorong Xu, Zhansheng Duan, Dongxiao Zhu
iQuant: A fast yet accurate GUI tool for transcript quantification. BIBM Workshops (2011)
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 (2011)
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)
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) (2011)
Dongxiao Zhu, Hua Li
Improved Bayesian Network inference using relaxed gene ordering. Int. J. Data Min. Bioinform. 4 (1) (2010)
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 (2010)
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) (2009)
Dongxiao Zhu, Guorong Xu, Lipi R. Acharya
A Generalized Multivariate Approach for Correlation-Based Pattern Discovery from Replicated Molecular Profiling Data. BIBM (2009)
Lipi R. Acharya, Dongxiao Zhu
Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models. ICMLA (2009)
Dongxiao Zhu
Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data. BMC Bioinform. 10 (S-1) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dongxiao Zhu