Liang Zhao

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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Analysis of minima for geodesic and chordal cost for a minimal 2D pose-graph SLAM problem

Nov 20, 2019
Felix H. Kong, Jiaheng Zhao, Liang Zhao, Shoudong Huang

* Accepted for publication in Robotics and Automation Letters. This version contains extended proofs, which do not fit in the RA-L page limit

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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction

Nov 20, 2019
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu

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Existence of local minima of a minimal 2D pose-graph SLAM problem

Nov 13, 2019
Felix H. Kong, Jiaheng Zhao, Liang Zhao, Shoudong Huang

* Accepted for publication in Robotics and Automation Letters. This version contains the full proofs which do not fit in the RA-L page limit

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Compositional Generalization for Primitive Substitutions

Oct 07, 2019
Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness

* EMNLP 2019

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BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Sep 27, 2019
Yuyang Gao, Giorgio Ascoli, Liang Zhao

* Under review as a conference paper at ICLR 2020

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Multi-stage Deep Classifier Cascades for Open World Recognition

Aug 26, 2019
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao

* This paper has been accepted by CIKM 2019

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DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Aug 22, 2019
Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao

* 6 pages. Accepted as ICDM 2019 Short Paper. Final Version

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CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

Aug 20, 2019
Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao

* 8 pages, 6 figures, submitted to BIBM 2019

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Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design

Jul 29, 2019
Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad

* This paper has been accepted in The International Conference on Field-Programmable Logic and Applications 2019 (FPL'19)

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