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Liang Zhao
Online Decision Trees with Fairness

Oct 15, 2020
Wenbin Zhang, Liang Zhao

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 6 pages, Accepted and to appear in ISQED 2020 
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Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques

Dec 12, 2019
Liang Zhao, Brendan Odigwe, Susan Lessner, Daniel G. Clair, Firas Mussa, Homayoun Valafar

* 6 pages, submitted for consideration to CSCI 2016 
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Learning to Recommend via Meta Parameter Partition

Dec 04, 2019
Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian


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Efficient Global String Kernel with Random Features: Beyond Counting Substructures

Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal

* KDD'19 Oral Paper, Data and Code link available in the paper 
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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

* KDD'19, Oral Paper, Data and Code link available in the paper 
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