H. Xu

发表

Learning Conditional Generative Models for Temporal Point Processes

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

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

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

Active manifold learning via a unified framework for manifold landmarking.

M. Davenport, H. Xu, H. Zha, 2017 .

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

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

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.

A Hypergradient Approach to Robust Regression without Correspondence pdf

Hongyuan Zha, Xiaojing Ye, Tuo Zhao, 2020, ICLR.

Registered Temporal Point Process Intensity function Original timeline and realizations Warped idiosyncratic observations Warping function 1 Warping function 2 Warping function 3

L. Carin, H. Xu, H. Zha, 2018 .

A Matrix Decomposition Perspective to Multiple Graph Matching

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

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.

Flexible Network Binarization with Layer-Wise Priority

Bingbing Ni, He Wang, Yi Xu, 2017, 2018 25th IEEE International Conference on Image Processing (ICIP).

Learning Granger Causality for Hawkes Processes pdf

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

A Hypergradient Approach to Robust Regression without Correspondence

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

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

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

A Unified Framework for Manifold Landmarking

Licheng Yu, Hongyuan Zha, Hongteng Xu, 2017, IEEE Transactions on Signal Processing.

Manifold Based Dynamic Texture Synthesis from Extremely Few Samples

Hongyuan Zha, Hongteng Xu, Mark A. Davenport, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Benefits from Superposed Hawkes Processes

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

Learning Hawkes Processes from Short Doubly-Censored Event Sequences pdf

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

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

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

Trailer Generation via a Point Process-Based Visual Attractiveness Model

Hongyuan Zha, Yi Zhen, Hongteng Xu, 2015, IJCAI.

Topic-Guided Variational Auto-Encoder for Text Generation pdf

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

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints

Wenjun Zhang, Hongyuan Zha, Xiaokang Yang, 2016, IEEE Transactions on Knowledge and Data Engineering.

Learning Graphons via Structured Gromov-Wasserstein Barycenters pdf

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

Quaternion Convolutional Neural Networks pdf

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

Sequential Recommendation with User Memory Networks

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

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

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

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).

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

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

Recaptured Screen Image Demoiréing

Hongteng Xu, Huanjing Yue, Chunping Hou, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Modeling and Applications for Temporal Point Processes

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

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis

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

Dictionary Learning with Mutually Reinforcing Group-Graph Structures

Licheng Yu, Hongyuan Zha, Yi Xu, 2015, AAAI.

Gromov-Wasserstein Factorization Models for Graph Clustering

Hongteng Xu, H. Xu, 2019, AAAI.

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

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

Personalized Key Frame Recommendation

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

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).

Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient

Guangtao Zhai, Xiaokang Yang, Hongteng Xu, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes

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

Learning Registered Point Processes from Idiosyncratic Observations

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2017, ICML.

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

Jianxin Wu, Zicheng Liu, Weiyao Lin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage

Hongyuan Zha, Weiyao Lin, Yang Zhou, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

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).

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

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

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

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

Quaternion-based sparse representation of color image

Licheng Yu, Yi Xu, Hao Zhang, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Self-example based super-resolution with fractal-based gradient enhancement

Licheng Yu, Xiaokang Yang, Yi Xu, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Quaternion Product Units for Deep Learning on 3D Rotation Groups

H. Xu, Yi Xu, Xuan Zhang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Superposition-Assisted Stochastic Optimization for Hawkes Processes

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