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Liang Zhao

Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition


Mar 17, 2021
Boxiang Dong, Aparna S. Varde, Danilo Stevanovic, Jiayin Wang, Liang Zhao

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Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss


Mar 17, 2021
Boxiang Dong, Hui, Wang, Aparna S. Varde, Dawei Li, Bharath K. Samanthula, Weifeng Sun, Liang Zhao

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Sign-regularized Multi-task Learning


Feb 22, 2021
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad

* 17 pages, 4 figures, v1 
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GP: Context-free Grammar Pre-training for Text-to-SQL Parsers


Jan 25, 2021
Liang Zhao, Hexin Cao, Yunsong Zhao

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Online Decision Trees with Fairness


Oct 15, 2020
Wenbin Zhang, Liang Zhao

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* arXiv admin note: substantial text overlap with arXiv:1907.07237 
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Disentangled Dynamic Graph Deep Generation


Oct 14, 2020
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao

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FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data


Oct 12, 2020
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala

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A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions


Sep 28, 2020
Esteban Wilfredo Vilca Zuñiga, Liang Zhao


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Graph-based Multi-hop Reasoning for Long Text Generation


Sep 28, 2020
Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun

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Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints


Sep 20, 2020
Liming Zhang, Liang Zhao, Dieter Pfoser

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A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality


Sep 16, 2020
Esteban Vilca, Liang Zhao

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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training


Sep 16, 2020
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao

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* ICML 2020 Workshop on "Beyond first-order methods in ML systems" 
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Event Prediction in the Big Data Era: A Systematic Survey


Aug 04, 2020
Liang Zhao

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Event Prediction in Big Data Era: A Systematic Survey


Jul 21, 2020
Liang Zhao

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A Systematic Survey on Deep Generative Models for Graph Generation


Jul 18, 2020
Xiaojie Guo, Liang Zhao

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TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative Models


Jun 09, 2020
Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser

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Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement


Jun 09, 2020
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye

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* This paper has been accepted by KDD 2020 
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TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation


May 17, 2020
Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser

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Chronnet: a network-based model for spatiotemporal data analysis


Apr 23, 2020
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau

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Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder


Apr 08, 2020
Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu

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Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery


Mar 22, 2020
Jingwei Song, Jun Wang, Liang Zhao, Shoudong Huang, Gamini Dissanayake

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* Published in IROS2017 ()2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. arXiv admin note: text overlap with arXiv:1803.02009 
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Deep Multi-attributed Graph Translation with Node-Edge Co-evolution


Mar 22, 2020
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

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* International Conference on Data Mining (ICDM), Beijing, China, 2019, pp. 250-259 
 * This paper has been accepted by International Conference on Data Mining (ICDM), Beijing, China, 2019 
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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks


Mar 01, 2020
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu

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Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection


Feb 13, 2020
Fabricio A Breve, Marcos G Quiles, Liang Zhao, Elbert E. N. Macau

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* BREVE, FA; ZHAO, L; QUILES, MG; MACAU, EEN. Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. Neural Networks, v. 22, p. 728-737, 2009 
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Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise


Feb 12, 2020
Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles

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* Neurocomputing (Amsterdam), v.160, p.63 - 72, 2015 
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Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks


Jan 16, 2020
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan

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* 6 pages, Accepted and to appear in ISQED 2020 
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