Ninghao Liu

发表

Explainable Recommender Systems via Resolving Learning Representations

Xia Hu, Soo-Hyun Choi, Yong Ge, 2020, CIKM.

An Interpretable Neural Model with Interactive Stepwise Influence

James Caverlee, Shuiwang Ji, Xia Hu, 2019, PAKDD.

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding

Hongxia Yang, Jingren Zhou, Xia Hu, 2019, KDD.

Adversarial Detection with Model Interpretation

Hongxia Yang, Xia Hu, Ninghao Liu, 2018, KDD.

Deep Neural Networks with Knowledge Instillation

Fan Yang, Shuiwang Ji, Xia Hu, 2020, SDM.

Towards Explanation of DNN-based Prediction with Guided Feature Inversion

Qingquan Song, Xia Hu, Ninghao Liu, 2018, KDD.

Contextual Outlier Interpretation pdf

Donghwa Shin, Xia Hu, Ninghao Liu, 2017, IJCAI.

Techniques for interpretable machine learning

Xia Hu, Ninghao Liu, Mengnan Du, 2018, Commun. ACM.

Learning to Hash with Graph Neural Networks for Recommender Systems

Xing Zhao, Hongxia Yang, Jingren Zhou, 2020, WWW.

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

Fan Yang, Ruixiang Tang, Ninghao Liu, 2020, KDD.

A Deployment Method Based on Spring Force in Wireless Robot Sensor Networks

Tao Zhang, Xiangyu Yu, Xin Qian, 2014 .

Representation Interpretation with Spatial Encoding and Multimodal Analytics

Xia Hu, Ninghao Liu, Mengnan Du, 2019, WSDM.

Spam Detection on Social Networks

Xia Hu, Ninghao Liu, Ninghao Liu, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

On Interpretation of Network Embedding via Taxonomy Induction

Xiao Huang, Jundong Li, Xia Hu, 2018, KDD.

A Node Deployment Algorithm Based on Van Der Waals Force in Wireless Sensor Networks

Tao Zhang, Xiangyu Yu, Xin Qian, 2013, Int. J. Distributed Sens. Networks.

An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums

Xia Hu, Mark Lawley, Ninghao Liu, 2017, Journal of healthcare engineering.

Towards Interpretation of Recommender Systems with Sorted Explanation Paths

Fan Yang, Suhang Wang, Xia Hu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Adversarial Attacks and Defenses: An Interpretation Perspective

Ruocheng Guo, Huan Liu, Xia Hu, 2020 .

Learning Credible Deep Neural Networks with Rationale Regularization

Xia Hu, Fan Yang, Ninghao Liu, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Deep Representation Learning for Social Network Analysis pdf

Xia Hu, Ninghao Liu, Qiaoyu Tan, 2019, Front. Big Data.

Learning credible DNNs via incorporating prior knowledge and model local explanation

Fan Yang, Xia Hu, Ninghao Liu, 2020, Knowledge and Information Systems.

Learning sparse codes from compressed representations with biologically plausible local wiring constraints

Christopher J. Rozell, Ninghao Liu, Kion Fallah, 2020, bioRxiv.

Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance

Mohammad Ali Abbasi, Huan Liu, Xia Hu, 2016, EURASIP J. Bioinform. Syst. Biol..

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation pdf

Fan Yang, Ninghao Liu, Xia Hu, 2021, SIGKDD Explor..

Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media

Zhe He, Xia Hu, Ninghao Liu, 2019, SEPDA@ISWC.

Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability pdf

Xia Hu, Bo Long, Ninghao Liu, 2020, ArXiv.

Distribution-Guided Local Explanation for Black-Box Classifiers

Meng Wang, Xia Hu, Shijie Hao, 2019 .

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

Fan Yang, Shuiwang Ji, Xia Hu, 2019, WWW.

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter

Xia Hu, Zhe He, Ninghao Liu, 2020, BMC Medical Informatics and Decision Making.

Accelerated Local Anomaly Detection via Resolving Attributed Networks

Xiao Huang, Xia Hu, Ninghao Liu, 2017, IJCAI.

Identification of Cancer Survivors Living with PTSD on Social Media

Xia Hu, Zhe He, Ninghao Liu, 2019, MedInfo.

Deep Structured Cross-Modal Anomaly Detection

Jundong Li, Xia Hu, Ninghao Liu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adversarial Machine Learning: An Interpretation Perspective pdf

Xia Hu, Ninghao Liu, Mengnan Du, 2020, ArXiv.

Distance-weighted backlog differentials for back-pressure routing in multi-hop wireless networks

Jing Lu, Quansheng Guan, Ninghao Liu, 2014, 2014 IEEE/CIC International Conference on Communications in China (ICCC).

Sparse-Interest Network for Sequential Recommendation

Hongxia Yang, Jingren Zhou, Xia Hu, 2021, WSDM.

Dynamic Memory based Attention Network for Sequential Recommendation

Hongxia Yang, Jingren Zhou, Xia Hu, 2021, AAAI.

ExAD: An Ensemble Approach for Explanation-based Adversarial Detection pdf

Guofei Gu, Ninghao Liu, Weijie Fu, 2021, ArXiv.

Adversarial Attacks and Defenses

Ruocheng Guo, Ninghao Liu, Huan Liu, 2020, SIGKDD Explor..