Hongteng Xu

发表

Sequential Recommendation with User Memory Networks

Yongfeng Zhang, Hongyuan Zha, Hongteng Xu, 2018, WSDM.

A Matrix Decomposition Perspective to Multiple Graph Matching

Hongyuan Zha, Junchi Yan, Xiaokang Yang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

Wei Liu, Lawrence Carin, Hongteng Xu, 2018, NeurIPS.

You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data

Rong Xie, Wenjun Zhang, Hongyuan Zha, 2014, IEEE Transactions on Broadcasting.

Topic-Guided Variational Auto-Encoder for Text Generation pdf

Guoyin Wang, Zhe Gan, Lawrence Carin, 2019, NAACL.

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

Lawrence Carin, Hongteng Xu, F. Joseph McClernon, 2018, MLHC.

Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer

Rong Xie, Wenjun Zhang, Li Song, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation

Hongyuan Zha, Weiyao Lin, Junchi Yan, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Fractal-based CNN for Detecting Complicated Curves in AFM Images pdf

Hongyuan Zha, Junchi Yan, Hongteng Xu, 2016, ArXiv.

Generalized Equalization Model for Image Enhancement

Xiaolin Wu, Guangtao Zhai, Xiaokang Yang, 2014, IEEE Transactions on Multimedia.

Zero-Shot Recognition via Optimal Transport

L. Carin, Wenlin Wang, Guoyin Wang, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Learning Conditional Generative Models for Temporal Point Processes

Le Song, Hongyuan Zha, Junchi Yan, 2018, AAAI.

Learning Hawkes Processes from Short Doubly-Censored Event Sequences pdf

Hongyuan Zha, Hongteng Xu, Dixin Luo, 2017, ICML.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2016, IEEE Transactions on Knowledge and Data Engineering.

Hierarchical Optimal Transport for Robust Multi-View Learning pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2020, ArXiv.

Superposition-Assisted Stochastic Optimization for Hawkes Processes

Lawrence Carin, Hongteng Xu, L. Carin, 2018, 1802.04725.

Learning Registered Point Processes from Idiosyncratic Observations

L. Carin, H. Zha, Hongteng Xu, 2017, ICML.

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

Hongyuan Zha, Hongteng Xu, H. Xu, 2017, NIPS.

Learning Granger Causality for Hawkes Processes pdf

Hongyuan Zha, Mehrdad Farajtabar, Hongteng Xu, 2016, ICML.

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences

Wenjun Zhang, Hongyuan Zha, Xiaokang Yang, 2015, IJCAI.

Collaborative Filtering with A Synthetic Feedback Loop pdf

Lawrence Carin, Hongteng Xu, Ruiyi Zhang, 2019, ArXiv.

Learning Graphons via Structured Gromov-Wasserstein Barycenters pdf

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2020, AAAI.

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation

Yongfeng Zhang, Hongyuan Zha, Zheng Qin, 2019, SIGIR.

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Lawrence Carin, Hongteng Xu, Dixin Luo, 2019, NeurIPS.

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2019, ICML.

Text2Poster: Laying Out Stylized Texts on Retrieved Images

H. Xu, Ruihua Song, Zhiwu Lu, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Hypergradient Approach to Robust Regression without Correspondence

H. Xu, H. Zha, T. Zhao, 2020, ICLR.

Learning Autoencoders with Relational Regularization pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2020, ICML.

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction

H. Xu, Tiancheng Lin, Canqian Yang, 2022, AAAI.

Visually Explainable Recommendation pdf

Xu Chen, Yongfeng Zhang, Hongyuan Zha, 2018, ArXiv.

Personalized Key Frame Recommendation

Yongfeng Zhang, Junchi Yan, Qingyao Ai, 2017, SIGIR.

Adversarial Distillation for Efficient Recommendation with External Knowledge

Xu Chen, Yongfeng Zhang, Hongyuan Zha, 2018, ACM Trans. Inf. Syst..

Benefits from Superposed Hawkes Processes

Xu Chen, Lawrence Carin, Hongteng Xu, 2017, AISTATS.

Modeling and Applications for Temporal Point Processes

Junchi Yan, Hongteng Xu, Liangda Li, 2019, KDD.

PoPPy: A Point Process Toolbox Based on PyTorch pdf

Hongteng Xu, Hongteng Xu, 2018, ArXiv.

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning pdf

Guoyin Wang, Zhe Gan, Liqun Chen, 2019, AAAI.

Manifold Based Face Synthesis from Sparse Samples

Hongyuan Zha, Hongteng Xu, H. Zha, 2013, 2013 IEEE International Conference on Computer Vision.

Quaternion Convolutional Neural Networks pdf

Yi Xu, Changjian Chen, Hongteng Xu, 2018, ECCV.

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis

Licheng Yu, Yi Xu, Hao Zhang, 2015, IEEE Transactions on Image Processing.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract)

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).