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2020 – today
- 2021
[j35]Mengnan Du
, Ninghao Liu, Fan Yang, Xia Hu:
Learning credible DNNs via incorporating prior knowledge and model local explanation. Knowl. Inf. Syst. 63(2): 305-332 (2021)- [j34]Yu-Jun Ma, Fang-Zhong Shi, Xia Hu, Xiao-Yan Li:
Climatic Constraints to Monthly Vegetation Dynamics in Desert Areas Over the Silk Road Economic Belt. Remote. Sens. 13(5): 995 (2021) - [j33]Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. 23(1): 59-68 (2021) - [j32]Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23(1): 86-99 (2021) - [c131]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI 2021: 4384-4392 - [c130]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI 2021: 11462-11469 - [c129]Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu:
TODS: An Automated Time Series Outlier Detection System. AAAI 2021: 16060-16062 - [c128]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c127]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR 2021 - [c126]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML 2021: 12333-12344 - [c125]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM 2021: 421-431 - [c124]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT 2021: 915-929 - [c123]Xia Hu, Ouyang Su, Lifeng Qin:
The Influence of Electrode on Elastic Constant $C_{33}{}^{D}$ Extraction of Scandium-doped Aluminum Nitride Thin Film by Thickness-extensional Mode FBAR. NEMS 2021: 1718-1722 - [c122]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. WSDM 2021: 598-606 - [c121]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - [i74]Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. CoRR abs/2101.06930 (2021) - [i73]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. CoRR abs/2101.08152 (2021) - [i72]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. CoRR abs/2102.09267 (2021) - [i71]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. CoRR abs/2102.09269 (2021) - [i70]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model Complexity of Deep Learning: A Survey. CoRR abs/2103.05127 (2021) - [i69]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR abs/2103.06922 (2021) - [i68]Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu:
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. CoRR abs/2103.14545 (2021) - [i67]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR abs/2104.06629 (2021) - [i66]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i65]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A General Taylor Framework for Unifying and Revisiting Attribution Methods. CoRR abs/2105.13841 (2021) - [i64]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR abs/2106.05526 (2021) - [i63]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR abs/2106.06135 (2021) - [i62]Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu:
Model-Based Counterfactual Synthesizer for Interpretation. CoRR abs/2106.08971 (2021) - [i61]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu:
Fairness via Representation Neutralization. CoRR abs/2106.12674 (2021) - [i60]Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu:
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning. CoRR abs/2106.15239 (2021) - [i59]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR abs/2107.02392 (2021) - 2020
- [j31]Yang Yang, Cheng Zhang, Chao Fan, Ali Mostafavi, Xia Hu:
Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective. IEEE Access 8: 201040-201054 (2020) - [j30]Chao Fan, Jiayi Shen, Ali Mostafavi, Xia Hu:
Characterizing reticulation in online social networks during disasters. Appl. Netw. Sci. 5(1): 29 (2020) - [j29]Mengnan Du, Ninghao Liu, Xia Hu:
Techniques for interpretable machine learning. Commun. ACM 63(1): 68-77 (2020) - [j28]Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu:
Correction to: Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 2(1): 78 (2020) - [j27]Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu:
On Robustness of Neural Architecture Search Under Label Noise. Frontiers Big Data 3: 2 (2020) - [j26]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Medical Informatics Decis. Mak. 20-S(4): 254 (2020) - [j25]Yu-Jun Ma, Fang-Zhong Shi, Xia Hu, Xiao-Yan Li:
Threshold Vegetation Greenness under Water Balance in Different Desert Areas over the Silk Road Economic Belt. Remote. Sens. 12(15): 2452 (2020) - [j24]Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. SIGKDD Explor. 22(2): 35-50 (2020) - [c120]Yan Zhong, Xiao Huang, Jundong Li, Xia Hu:
Scalable Social Tie Strength Measuring. ASONAM 2020: 288-295 - [c119]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. CIKM 2020: 325-334 - [c118]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020: 895-904 - [c117]Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu:
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops 2020: 111-119 - [c116]Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. ICDE 2020: 613-624 - [c115]Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM 2020: 771-780 - [c114]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. IJCAI 2020: 1352-1358 - [c113]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. IJCAI 2020: 3146-3152 - [c112]Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI 2020: 5264-5266 - [c111]Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD 2020: 218-228 - [c110]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. KDD 2020: 430-438 - [c109]Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu:
Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD 2020: 461-471 - [c108]Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu:
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. KDD 2020: 945-955 - [c107]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei:
Measuring Model Complexity of Neural Networks with Curve Activation Functions. KDD 2020: 1521-1531 - [c106]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS 2020 - [c105]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS 2020 - [c104]Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu:
AutoRec: An Automated Recommender System. RecSys 2020: 582-584 - [c103]Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu:
Deep Neural Networks with Knowledge Instillation. SDM 2020: 370-378 - [c102]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) 2020: 153-157 - [c101]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. WWW 2020: 1988-1998 - [i58]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR abs/2003.01917 (2020) - [i57]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR abs/2003.05602 (2020) - [i56]Ninghao Liu, Mengnan Du, Xia Hu:
Adversarial Machine Learning: An Interpretation Perspective. CoRR abs/2004.11488 (2020) - [i55]Zhengyang Wang, Xia Hu, Shuiwang Ji:
iCapsNets: Towards Interpretable Capsule Networks for Text Classification. CoRR abs/2006.00075 (2020) - [i54]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. CoRR abs/2006.02587 (2020) - [i53]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. CoRR abs/2006.04061 (2020) - [i52]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR abs/2006.06972 (2020) - [i51]Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR abs/2006.08131 (2020) - [i50]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu:
Mitigating Gender Bias in Captioning Systems. CoRR abs/2006.08315 (2020) - [i49]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei:
Measuring Model Complexity of Neural Networks with Curve Activation Functions. CoRR abs/2006.08962 (2020) - [i48]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - [i47]Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu:
Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR abs/2006.15097 (2020) - [i46]Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu:
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. CoRR abs/2007.06434 (2020) - [i45]Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu:
AutoRec: An Automated Recommender System. CoRR abs/2007.07224 (2020) - [i44]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR abs/2007.12358 (2020) - [i43]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CoRR abs/2008.09316 (2020) - [i42]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR abs/2008.09695 (2020) - [i41]Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR abs/2009.07415 (2020) - [i40]Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long:
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability. CoRR abs/2009.07494 (2020) - [i39]Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu:
TODS: An Automated Time Series Outlier Detection System. CoRR abs/2009.09822 (2020) - [i38]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR abs/2010.13015 (2020) - [i37]Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR abs/2011.08960 (2020)
2010 – 2019
- 2019
- [j23]Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji:
Computational modeling of cellular structures using conditional deep generative networks. Bioinform. 35(12): 2141-2149 (2019) - [j22]Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu:
Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 1(4): 237-239 (2019) - [j21]Qiaoyu Tan, Ninghao Liu, Xia Hu:
Deep Representation Learning for Social Network Analysis. Frontiers Big Data 2: 2 (2019) - [j20]Cheng Zhang, Chao Fan, Wenlin Yao, Xia Hu, Ali Mostafavi:
Social media for intelligent public information and warning in disasters: An interdisciplinary review. Int. J. Inf. Manag. 49: 190-207 (2019) - [j19]Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu:
Tensor Completion Algorithms in Big Data Analytics. ACM Trans. Knowl. Discov. Data 13(1): 6:1-6:48 (2019) - [c100]Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. AAAI 2019: 1377-1384 - [c99]Mohammadreza Armandpour, Patrick Ding, Jianhua Z. Huang, Xia Hu:
Robust Negative Sampling for Network Embedding. AAAI 2019: 3191-3198 - [c98]Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. AAAI 2019: 3878-3885 - [c97]Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji:
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. AAAI 2019: 5717-5724 - [c96]Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. ICDM 2019: 150-159 - [c95]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. IJCAI 2019: 4243-4249 - [c94]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. IJCNN 2019: 1-8 - [c93]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. KDD 2019: 335-343 - [c92]Xiao Huang, Qingquan Song, Yuening Li, Xia Hu:
Graph Recurrent Networks With Attributed Random Walks. KDD 2019: 732-740 - [c91]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD 2019: 932-940 - [c90]Haifeng Jin, Qingquan Song, Xia Hu:
Auto-Keras: An Efficient Neural Architecture Search System. KDD 2019: 1946-1956 - [c89]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Identification of Cancer Survivors Living with PTSD on Social Media. MedInfo 2019: 1468-1469 - [c88]Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu:
An Interpretable Neural Model with Interactive Stepwise Influence. PAKDD (3) 2019: 528-540 - [c87]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. SEPDA@ISWC 2019: 48-52 - [c86]Ninghao Liu, Mengnan Du, Xia Hu:
Representation Interpretation with Spatial Encoding and Multimodal Analytics. WSDM 2019: 60-68 - [c85]Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. WWW 2019: 383-393 - [i36]Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-Label Adversarial Perturbations. CoRR abs/1901.00546 (2019) - [i35]Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. CoRR abs/1903.11245 (2019) - [i34]Sina Mohseni, Eric D. Ragan, Xia Hu:
Open Issues in Combating Fake News: Interpretability as an Opportunity. CoRR abs/1904.03016 (2019) - [i33]Qiaoyu Tan, Ninghao Liu, Xia Hu:
Deep Representation Learning for Social Network Analysis. CoRR abs/1904.08547 (2019) - [i32]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR abs/1905.10668 (2019) - [i31]Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. CoRR abs/1905.13403 (2019) - [i30]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. CoRR abs/1906.04386 (2019) - [i29]Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. CoRR abs/1906.06857 (2019) - [i28]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. CoRR abs/1906.08387 (2019) - [i27]Fan Yang, Mengnan Du, Xia Hu:
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. CoRR abs/1907.06831 (2019) - [i26]Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. CoRR abs/1907.08908 (2019) - [i25]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. CoRR abs/1908.03848 (2019) - [i24]Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. CoRR abs/1908.05601 (2019) - [i23]Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. CoRR abs/1908.08843 (2019) - [i22]Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu:
Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR abs/1909.03184 (2019) - [i21]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. CoRR abs/1909.05999 (2019) - [i20]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR abs/1910.00370 (2019) - [i19]Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu:
Contextual Local Explanation for Black Box Classifiers. CoRR abs/1910.00768 (2019) - [i18]Yuening Li, Daochen Zha, Na Zou, Xia Hu:
PyODDS: An End-to-End Outlier Detection System. CoRR abs/1910.02575 (2019) - [i17]Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR abs/1910.04376 (2019) - [i16]Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu:
XDeep: An Interpretation Tool for Deep Neural Networks. CoRR abs/1911.01005 (2019) - [i15]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. CoRR abs/1912.08306 (2019) - 2018
- [j18]Xia Hu, Sean L. Barnes, Bruce L. Golden:
Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies. Int. Trans. Oper. Res. 25(1): 7-49 (2018) - [j17]Xia Hu, Gregor Stiglic, Fei Wang:
Special Issue on Data Mining in Health Informatics. J. Heal. Informatics Res. 2(4): 367-369 (2018) - [j16]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. 9(2): 17:1-17:22 (2018) - [j15]Xiao Huang, Jundong Li, Na Zou, Xia Hu:
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12(6): 70:1-70:24 (2018) - [j14]Xinhe Zhang, Xia Hu, Chao He, Chunming Yu:
A FOA-Optimized RBF Algorithm-Based Evaluation Research on E-commerce Websites. Wirel. Pers. Commun. 102(4): 2835-2851 (2018) - [c84]Zepeng Huo, Xiao Huang, Xia Hu:
Link Prediction With Personalized Social Influence. AAAI 2018: 2289-2296 - [c83]