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More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring


Jun 01, 2021
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu

* 9 pages, 6 figures, 3 tables 

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Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System


May 29, 2021
Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu

* ACL2021 
* Accepted by ACL2021 

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Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning


May 29, 2021
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu

* ACL2021 
* Accepted by ACL2021 

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Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening


Jul 10, 2020
Hong Xu, Shireen Y. Elhabian, David E. Timm

* Accepted for publication in MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention 

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Simulating Performance of ML Systems with Offline Profiling


Feb 17, 2020
Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong

* Accepted to The MLOps 2020 workshop, colocated with MLSys 2020. 2 pages 

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MANELA: A Multi-Agent Algorithm for Learning Network Embeddings


Dec 01, 2019
Han Zhang, Hong Xu

* 11 pages, 4 figures, 5 tables 

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Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment


Sep 04, 2019
Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R Reiss, Vijay Bommireddipalli

* Alex Bozarth et al. 2019. Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. In The 28th ACM International Conference on Information and Knowledge Management (CIKM '19) 
* 4 pages, 3 figures. Demo paper 

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Saec: Similarity-Aware Embedding Compression in Recommendation Systems


Feb 26, 2019
Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang


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Stanza: Layer Separation for Distributed Training in Deep Learning


Jan 10, 2019
Xiaorui Wu, Hong Xu, Bo Li, Yongqiang Xiong

* 15 pages 

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Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks


Oct 13, 2018
Shudan Zhong, Hong Xu


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Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems


Mar 30, 2018
Hang Ma, Wolfgang Hönig, Liron Cohen, Tansel Uras, Hong Xu, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

* IEEE Intelligent Systems, vol. 32, no. 6, pp. 6-12, November/December 2017 

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Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach


Dec 09, 2017
Therese Anders, Hong Xu, Cheng Cheng, T. K. Satish Kumar

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios


Feb 17, 2017
Hang Ma, Sven Koenig, Nora Ayanian, Liron Cohen, Wolfgang Hoenig, T. K. Satish Kumar, Tansel Uras, Hong Xu, Craig Tovey, Guni Sharon

* In IJCAI-16 Workshop on Multi-Agent Path Finding 

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An Efficient Implementation of Belief Function Propagation


Mar 20, 2013
Hong Xu

* Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991) 

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A Decision Calculus for Belief Functions in Valuation-Based Systems


Mar 13, 2013
Hong Xu

* Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992) 

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A Belief-Function Based Decision Support System


Mar 06, 2013
Hong Xu, Yen-Teh Hsia, Philippe Smets

* Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993) 

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Evidential Reasoning with Conditional Belief Functions


Feb 27, 2013
Hong Xu, Philippe Smets

* Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994) 

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Generating Explanations for Evidential Reasoning


Feb 20, 2013
Hong Xu, Philippe Smets

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Tuning parameter selection for penalized likelihood estimation of inverse covariance matrix


Sep 04, 2009
Xin Gao, Daniel Q. Pu, Yuehua Wu, Hong Xu


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