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Hierarchical Optimal Transport for Robust Multi-View Learning

Jun 08, 2020
Dixin Luo, Hongteng Xu, Lawrence Carin


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Learning Autoencoders with Relational Regularization

Feb 27, 2020
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin


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Quaternion Product Units for Deep Learning on 3D Rotation Groups

Dec 17, 2019
Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu


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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Nov 20, 2019
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

* Accepted by AAAI-2020 

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Gromov-Wasserstein Factorization Models for Graph Clustering

Nov 19, 2019
Hongteng Xu

* The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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Collaborative Filtering with A Synthetic Feedback Loop

Oct 21, 2019
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin


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An Optimal Transport Framework for Zero-Shot Learning

Oct 20, 2019
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin


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Fused Gromov-Wasserstein Alignment for Hawkes Processes

Oct 04, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin

* The workshop on learning with temporal point processes in NeurIPS 2019 (WTPP19) 

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Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes

Jun 20, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin


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Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms

Jun 13, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin


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Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

May 22, 2019
Hongteng Xu, Dixin Luo, Lawrence Carin


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Topic-Guided Variational Autoencoders for Text Generation

Mar 17, 2019
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin


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Quaternion Convolutional Neural Networks

Mar 02, 2019
Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen


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Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Jan 17, 2019
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin


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PoPPy: A Point Process Toolbox Based on PyTorch

Oct 25, 2018
Hongteng Xu


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Distilled Wasserstein Learning for Word Embedding and Topic Modeling

Sep 12, 2018
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin


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Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model

Sep 05, 2018
Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A Oliver, Matthew Hallyburton, F Joseph McClernon

* Presented at Machine Learning for Healthcare 2018, Stanford, CA 

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A unified framework for manifold landmarking

Sep 02, 2018
Hongteng Xu, Licheng Yu, Mark Davenport, Hongyuan Zha


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Flexible Network Binarization with Layer-wise Priority

Feb 16, 2018
Lixue Zhuang, Yi Xu, Bingbing Ni, Hongteng Xu

* More experiments on image classification are planned 

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Superposition-Assisted Stochastic Optimization for Hawkes Processes

Feb 14, 2018
Hongteng Xu, Xu Chen, Lawrence Carin


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Benefits from Superposed Hawkes Processes

Feb 14, 2018
Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

* AISTATS 2018 

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Learning Registered Point Processes from Idiosyncratic Observations

Feb 13, 2018
Hongteng Xu, Lawrence Carin, Hongyuan Zha


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A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

Sep 21, 2017
Hongteng Xu, Hongyuan Zha

* 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA 

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THAP: A Matlab Toolkit for Learning with Hawkes Processes

Aug 28, 2017
Hongteng Xu, Hongyuan Zha


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Learning Hawkes Processes from Short Doubly-Censored Event Sequences

Jun 07, 2017
Hongteng Xu, Dixin Luo, Hongyuan Zha


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A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories

Apr 26, 2017
Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu

* IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2016.2608884, 2016. Code for our work is available at http://min.sjtu.edu.cn/lwydemo/Trajectory%20analysis.htm 

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Fractal Dimension Invariant Filtering and Its CNN-based Implementation

Mar 17, 2017
Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha

* CVPR 2017 

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