-
Chuhao Jin, Hongteng Xu Ruihua Song, Zhiwu Lu - "Text2Poster: Laying out Stylized Texts on Retrieved Images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022.
-
Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu - "Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction", AAAI Conference on Artificial Intelligence 2022.
-
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu - "
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation", The Conference on Neural Information and Processing System (NeurIPS) 2021.
-
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen - "Counterfactual Data-Augmented Sequential Recommendation", International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021.
-
Shen Yuan, Hongteng Xu - "Self-organized Hawkes Processes", CAAI International Conference on Artificial Intelligence (CICAI) 2021.
-
David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin - "Affinitention nets: kernel perspective
on attention architectures for set classification with applications to medical text and images", The Conference on Health, Inference, and Learning (CHIL) 2021.
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Yujia Xie, Yixiu Miao, Simiao Zuo, Hongteng Xu Xiaojing Ye, Tuo Zhao, Hongyuan Zha - "A Hypergradient Approach to Robust Regression without Correspondence", International Conference on Learning Representation (ICLR) [
paper]
-
Hongteng Xu Dixin Luo, Lawrence Carin, Hongyuan Zha - "Learning Graphons via Structured Gromov-Wasserstein Barycenters", AAAI Conference on Artificial Intelligence (AAAI), 2021. (Acceptance Rate:
21%) [paper,
code]
-
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Piyush Rai, Lawrence Carin - "Learning to Recommend from Sparse Data via Generative User Feedback", AAAI Conference on Artificial Intelligence
(AAAI), 2021. (Acceptance Rate: 21%) [paper]
-
Wenlin Wang, Hongteng Xu, Guoying Wang, Wenqi Wang, Lawrence Carin - "Zero-Short Recognition via Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. [
paper]
-
Hongteng Xu*, Dixin Luo*, Ricardo Henao, Svati Shah, Lawrence Carin - "Learning Autoencoders with Relational Regularization", The International Conference on Machine Learning (ICML), 2020. (Acceptance
Rate: 21.8%) [paper,
code]
-
Xuan Zhang, Shaofei Qin, Yi Xu, and Hongteng Xu - "Quaternion Product Units for Deep Learning on 3D Rotation Groups", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
(Acceptance Rate: 22.1%) [paper,
code]
-
Hongteng Xu - "Gromov-Wasserstein Factorization Models for Graph Clustering", AAAI Conference on Artificial Intelligence (AAAI), 2020. (Acceptance Rate: 20.6%) [
paper,
code]
-
Wenlin Wang, Hongteng Xu, Zhe Gan, et al. - "Graph-Driven Generative Models for Heterogeneous Multi-Task Learning", AAAI Conference on Artificial Intelligence (AAAI), 2020. (Acceptance Rate:
20.6%)
-
Hongteng Xu, Dixin Luo, Lawrence Carin - "Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching", The Conference on Neural Information and Processing System (NeurIPS), 2019.
(Acceptance Rate: 21%) [paper,
code]
-
Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu - "Single-Image Rain Removal via Multi-Scale Cascading Image Generation", IEEE International Conference on Image Processing (ICIP) 2019.
-
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin - "Gromov-Wasserstein Learning for Graph Matching and Node Embedding", The International Conference on Machine Learning (ICML), 2019. (Acceptance
Rate: 22%) [paper,
code]
-
Xu Chen, Hanxiong Chen, Hongteng Xu, et al. - "Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network", ACM SIGIR Conference on Research and Development
in Information Retrieval (SIGIR), 2019. (Acceptance Rate: 22%)
-
Wenlin Wang, Zhe Gan, Hongteng Xu, et al. - "Topic-Guided Variational Auto-Encoder for Text Generation", Annual Conference of the North American Chapter of the Association for Computational Linguistics
(NAACL), 2019.
-
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin - "Distilled Wasserstein Learning for Word Embedding and Topic Modeling", The Conference on Neural Information and Processing System (NIPS),
2018. (Acceptance Rate: 21%) [paper]
-
Xuanyu Zhu*, Yi Xu*, Hongteng Xu*, et al. - "Quaternion Convolutional Neural Networks", The European Conference on Computer Vision (ECCV), 2018. (Acceptance Rate: 24%) [paper]
-
Hongteng Xu*, Matthew Engelhard*, et al. - "Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model," The Conference on Machine Learning for Healthcare (MLHC), 2018.
[
paper]
-
Hongteng Xu, Lawrence Carin, Hongyuan Zha - "Learning Registered Point Processes from Idiosyncratic Observations," The International Conference on Machine Learning (ICML), 2018. (Acceptance Rate:
25%) [paper]
-
He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu - "Flexible Network Binarization with Layer-wise Priority," The International Conference on Image Processing (ICIP), 2018.
-
Hongteng Xu, Dixin Luo, Lawrence Carin - "Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes," The International Joint Conference on Artificial Intelligence
(IJCAI-ECAI), 2018. (Oral, Acceptance Rate: 20.4%) [paper]
-
Shiyu Ning, Hongteng Xu, Li Song, et al. - "Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
-
Hongteng Xu, Dixin Luo, Xu Chen and Lawrence Carin - "Benefits from Superposed Hawkes Processes," The 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
(Acceptance Rate: 33.2%) [paper]
-
Shuai Xiao, Hongteng Xu, et al. - "Learning Conditional Generative Models for Temporal Point Processes," The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. (Acceptance
Rate: 24.5%)
-
Xu Chen, Hongteng Xu, Yongfeng Zhang, et al. - "Sequential Recommendation with User Memory Networks," ACM International Conference on Web Search and Data Mining (WSDM), 2018. (Acceptance Rate:
16%) [paper]
-
Hongteng Xu and Hongyuan Zha - "A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering" Annual Conference on Neural Information Processing Systems (NIPS), 2017. (Poster,
Acceptance Rate: 20.9%) [paper,
code]
-
Hongteng Xu, Dixin Luo, Hongyuan Zha - "Learning Hawkes Processes from Short Doubly-Censored Event Sequences," International Conference on Machine Learning (ICML), 2017. (Oral, Acceptance Rate:
25.4%) [paper,
code]
-
Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, et al. - "Personalized Key Frame Recommendation," ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (Acceptance
Rate: 22%) [paper]
-
Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin and Hongyuan Zha - "Fractal Dimension Invariant Filtering and Its CNN-based Implementation," IEEE International Conference on Computer Vision
and Pattern Recognition (CVPR), 2017. (Poster, Acceptance Rate: 29%) [paper,
code]
-
Hongteng Xu, Xia Ning, Hui Zhang, et al. - "PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events," IEEE International Conference on Autonomic Computing (ICAC), 2016. (Poster)
-
Hongteng Xu, Mehrdad Farajtabar and Hongyuan Zha - "Learning Granger Causality for Hawkes Processes," International Conference on Machine Learning (ICML), 2016. (Oral, Acceptance Rate: 24.3%)
[
paper,
code]
-
Hongteng Xu, Yang Zhou, Weiyao Lin and Hongyuan Zha - "Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-based Shrinkage," International Conference on Computer Vision (ICCV), 2015.
(Poster, Acceptance Rate: 19.6%) [paper,
code]
-
Junchi Yan, Hongteng Xu, Hongyuan Zha and Xiaokang Yang - "A Matrix Decomposition Perspective to Multiple Graph Matching," International Conference on Computer Vision (ICCV), 2015. (Poster, Acceptance
Rate: 19.6%) [paper]
-
Hongteng Xu, Yi Zhen, Hongyuan Zha - "Trailer Generation via A Point Process-based Visual Attractiveness Model," The Twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI),
2015. (Patent Pending) (Oral, Acceptance Rate: 28.8%) [paper,
demo]
-
Hongteng Xu*, Dixin Luo*, Yi Zhen, Xia Ning, Hongyuan Zha, et al. - "Multi-task Multi-dimensional Hawkes Processes for Modeling Event Sequences," The Twenty-fourth International Joint Conference
on Artificial Intelligence (IJCAI), 2015. (Oral, Acceptance Rate: 28.8%) [paper,
code]
-
Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport - "Active Manifold Learning via Gershgorin Circle Guided Sample Selection," The Twenty-Ninth AAAI Conference on Artificial Intelligence
(AAAI), 2015. (Oral, Acceptance Rate: 11.8%) [paper,
code]
-
Hongteng Xu*, Licheng Yu*, Dixin Luo, Hongyuan Zha, Yi Xu - "Dictionary Learning with Mutually Reinforcing Group-Graph Structures," The Twenty-Ninth AAAI Conference on Artificial Intelligence
(AAAI), 2015. (Poster, Acceptance Rate: 26.7%) [paper]
-
Hongteng Xu, Hongyuan Zha, Mark A. Davenport - "Manifold Based Dynamic Texture Synthesis from Extremely Few Samples," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
(Poster, Acceptance Rate: 29.9%) [paper,
code,
demo]
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Hongteng Xu, Hongyuan Zha - "Manifold based Image Synthesis from Sparse Samples," IEEE Conference on Computer Vision (ICCV), 2013. (Poster, Acceptance Rate: 27.9%) [
paper]
-
Lichen Yu, Yi Xu, Hongteng Xu, Hao Zhang - "Quaternion-based Sparse Representation of Color Image," IEEE Conference on Multimedia and Expo (ICME), 2013. (Oral) [
paper,
code]
-
Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang - "World Expo Problem and Its Mixed Integer Programming Based Solution," BSI workshop of PAKDD, 2013. (Oral)
-
Hongteng Xu, Guangtao Zhai, Xiaokang Yang - "No Reference Measurement of Contrast Distortion and Optimal Contrast Enhancement," IEEE Conference on Pattern Recognition (ICPR), 2012. (Poster) [
paper,
code]
-
Licheng Yu, Hongteng Xu, Yi Xu, Xiaokang Yang - "Robust Single Image Super-resolution based on Gradient Enhancement", Asia-Pacific Signal and Information Processing Association, 2012. (Oral)
-
Hongteng Xu, Guangtao Zhai - "ECG Data Compression Based on Wave Atom Transform," IEEE Workshop on Multimedia Signal Processing (MMSP), 2011. (Poster)