Hongteng Xu

According to our database, Hongteng Xu authored at least 109 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.

Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

CoRR, 2024

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation.

Angxiao Yue, Dixin Luo, Hongteng Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Regularized Optimal Transport Layers for Generalized Global Pooling Operations.

Hongteng Xu, Minjie Cheng

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.

Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2023

Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning.

Dixin Luo, Hongteng Xu, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications.

Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fast Quaternion Product Units for Learning Disentangled Representations in $\mathbb {SO}(3)$.

Shaofei Qin, Xuan Zhang, Hongteng Xu, Yi Xu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Representing Graphs via Gromov-Wasserstein Factorization.

Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks.

Shen Yuan, Hongteng Xu

CoRR, 2023

DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework.

Haoran Cheng, Dixin Luo, Hongteng Xu

CoRR, 2023

A Quasi-Wasserstein Loss for Learning Graph Neural Networks.

Minjie Cheng, Hongteng Xu

CoRR, 2023

Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison.

Xiangfeng Wang, Hongteng Xu, Moyi Yang

CoRR, 2023

Debiased Imitation Learning for Modulated Temporal Point Processes.

Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport.

Yutong Wang, Hongteng Xu, Dixin Luo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Group Sparse Optimal Transport for Sparse Process Flexibility Design.

Dixin Luo, Tingting Yu, Hongteng Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment.

Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Uni-Mol: A Universal 3D Molecular Representation Learning Framework.

Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search.

Jiechao Yang, Yong Liu, Hongteng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MPerformer: An SE(3) Transformer-based Molecular Perceptron.

Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression.

Yue Xiang, Dixin Luo, Hongteng Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Hierarchical Contrastive Learning for Temporal Point Processes.

Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.

Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng

CoRR, 2022

Hilbert Curve Projection Distance for Distribution Comparison.

Tao Li, Cheng Meng, Jun Yu, Hongteng Xu

CoRR, 2022

Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification.

Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng

CoRR, 2022

Revisiting Pooling through the Lens of Optimal Transport.

Minjie Cheng, Hongteng Xu

CoRR, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.

Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance.

Dixin Luo, Yutong Wang, Angxiao Yue, Hongteng Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.

Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu

Proceedings of the IEEE International Conference on Data Mining, 2022

Text2Poster: Laying Out Stylized Texts on Retrieved Images.

Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu

Proceedings of the IEEE International Conference on Acoustics, 2022

Gromov-Wasserstein Multi-modal Alignment and Clustering.

Fengjiao Gong, Yuzhou Nie, Hongteng Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection.

Yuzhou Nie, Chengyue Huang, Hailun Liang, Hongteng Xu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction.

Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Recaptured Screen Image Demoiréing.

Huanjing Yue, Yan Mao, Lipu Liang, Hongteng Xu, Chunping Hou, Jingyu Yang

IEEE Trans. Circuits Syst. Video Technol., 2021

Learning Graphon Autoencoders for Generative Graph Modeling.

Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo

CoRR, 2021

Hawkes Processes on Graphons.

Hongteng Xu, Dixin Luo, Hongyuan Zha

CoRR, 2021

Zero-Shot Recognition via Optimal Transport.

Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Counterfactual Data-Augmented Sequential Recommendation.

Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.

Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hypergradient Approach to Robust Regression without Correspondence.

Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha

Proceedings of the 9th International Conference on Learning Representations, 2021

Self-organized Hawkes Processes.

Shen Yuan, Hongteng Xu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images.

David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Learning Graphons via Structured Gromov-Wasserstein Barycenters.

Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hierarchical Optimal Transport for Robust Multi-View Learning.

Dixin Luo, Hongteng Xu, Lawrence Carin

CoRR, 2020

Learning Autoencoders with Relational Regularization.

Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin

Proceedings of the 37th International Conference on Machine Learning, 2020

Quaternion Product Units for Deep Learning on 3D Rotation Groups.

Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gromov-Wasserstein Factorization Models for Graph Clustering.

Hongteng Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.

Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha

ACM Trans. Inf. Syst., 2019

Collaborative Filtering with A Synthetic Feedback Loop.

Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin

CoRR, 2019

An Optimal Transport Framework for Zero-Shot Learning.

Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

CoRR, 2019

Fused Gromov-Wasserstein Alignment for Hawkes Processes.

Dixin Luo, Hongteng Xu, Lawrence Carin

CoRR, 2019

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes.

Dixin Luo, Hongteng Xu, Lawrence Carin

CoRR, 2019

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

Dixin Luo, Hongteng Xu, Lawrence Carin

CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.

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

CoRR, 2019

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

Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching.

Hongteng Xu, Dixin Luo, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling and Applications for Temporal Point Processes.

Junchi Yan, Hongteng Xu, Liangda Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Gromov-Wasserstein Learning for Graph Matching and Node Embedding.

Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin

Proceedings of the 36th International Conference on Machine Learning, 2019

Single-Image Rain Removal Via Multi-Scale Cascading Image Generation.

Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

A Unified Framework for Manifold Landmarking.

Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha

IEEE Trans. Signal Process., 2018

PoPPy: A Point Process Toolbox Based on PyTorch.

Hongteng Xu

CoRR, 2018

Visually Explainable Recommendation.

Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha

CoRR, 2018

Sequential Recommendation with User Memory Networks.

Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Distilled Wasserstein Learning for Word Embedding and Topic Modeling.

Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon

Proceedings of the Machine Learning for Healthcare Conference, 2018

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.

Hongteng Xu, Dixin Luo, Lawrence Carin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Registered Point Processes from Idiosyncratic Observations.

Hongteng Xu, Lawrence Carin, Hongyuan Zha

Proceedings of the 35th International Conference on Machine Learning, 2018

Flexible Network Binarization with Layer-Wise Priority.

He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer.

Shiyu Ning, Hongteng Xu, Li Song, Rong Xie, Wenjun Zhang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Quaternion Convolutional Neural Networks.

Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen

Proceedings of the Computer Vision - ECCV 2018, 2018

Benefits from Superposed Hawkes Processes.

Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning Conditional Generative Models for Temporal Point Processes.

Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Point process-based modeling and analysis of asynchronous event sequences.

Hongteng Xu

PhD thesis, 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

IEEE Trans. Knowl. Data Eng., 2017

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

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

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Active manifold learning via a unified framework for manifold landmarking.

Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha

CoRR, 2017

THAP: A Matlab Toolkit for Learning with Hawkes Processes.

Hongteng Xu, Hongyuan Zha

CoRR, 2017

Personalized Key Frame Recommendation.

Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering.

Hongteng Xu, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Hawkes Processes from Short Doubly-Censored Event Sequences.

Hongteng Xu, Dixin Luo, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

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

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).

Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.

Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.

Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

IEEE Trans. Knowl. Data Eng., 2016

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

Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha

CoRR, 2016

ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

CoRR, 2016

Learning Granger Causality for Hawkes Processes.

Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha

Proceedings of the 33nd International Conference on Machine Learning, 2016

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.

Hongteng Xu, Xia Ning, Hui Zhang, Junghwan Rhee, Guofei Jiang

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis.

Yi Xu, Licheng Yu, Hongteng Xu, Hao Zhang, Truong Nguyen

IEEE Trans. Image Process., 2015

Trailer Generation via a Point Process-Based Visual Attractiveness Model.

Hongteng Xu, Yi Zhen, Hongyuan Zha

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.

Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage.

Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Active Manifold Learning via Gershgorin Circle Guided Sample Selection.

Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Dictionary Learning with Mutually Reinforcing Group-Graph Structures.

Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Generalized Equalization Model for Image Enhancement.

Hongteng Xu, Guangtao Zhai, Xiaolin Wu, Xiaokang Yang

IEEE Trans. Multim., 2014

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

Dixin Luo, Hongteng Xu, Hongyuan Zha, Jun Du, Rong Xie, Xiaokang Yang, Wenjun Zhang

IEEE Trans. Broadcast., 2014

Manifold Based Dynamic Texture Synthesis from Extremely Few Samples.

Hongteng Xu, Hongyuan Zha, Mark A. Davenport

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

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

Hongteng Xu, Guangtao Zhai, Xiaokang Yang

IEEE Trans. Circuits Syst. Video Technol., 2013

World Expo Problem and Its Mixed Integer Programming Based Solution.

Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang

Proceedings of the Behavior and Social Computing, 2013

Quaternion-based sparse representation of color image.

Licheng Yu, Yi Xu, Hongteng Xu, Hao Zhang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

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

Licheng Yu, Yi Xu, Hongteng Xu, Xiaokang Yang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Manifold Based Face Synthesis from Sparse Samples.

Hongteng Xu, Hongyuan Zha

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Automatic Movie Restoration Based on Wave Atom Transform and Nonparametric Model.

Hongteng Xu, Guangtao Zhai, Li Chen, Xiaokang Yang

EURASIP J. Adv. Signal Process., 2012

No reference measurement of contrast distortion and optimal contrast enhancement.

Hongteng Xu, Guangtao Zhai, Xiaokang Yang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust single image super-resolution based on gradient enhancement.

Licheng Yu, Hongteng Xu, Yi Xu, Xiaokang Yang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

ECG data compression based on wave atom transform.

Hongteng Xu, Guangtao Zhai

Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011