Journal

  1. Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin. - "Representing Graphs via Gromov-Wasserstein Factorization, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [ paper]

  2. Huanjing Yue, Jingyu Yang, Hongteng Xu, et al. - "Recaptured Screen Image Demoiréing", IEEE Transactions on Circuit System and Video Technology (TCSVT), 2020. [ paper]

  3. Hongteng Xu and Hongyuan Zha - "THAP: A Matlab Toolkit for Learning with Hawkes Processes", arXiv, 2017. [ paper, code]

  4. Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha - "Adversarial Distillation for Efficient Recommendation with External Knowledge", ACM Transactions on Information Systems (TOIS), 2018.

  5. Hongteng Xu, Licheng Yu, Mark Davenport, Hongyuan Zha - "A Unified Framework for Manifold Landmarking", IEEE Transactions on Signal Processing (TSP), 2018. [ paper]

  6. Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha - "Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017. [paper]

  7. Weiyao Lin, Yang Zhou, Hongteng Xu, et al. - "A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

  8. Dixin Luo, Hongteng Xu, Yi Zhen, et al. - "Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. [ paper]

  9. Yi Xu, Licheng Yu, Hongteng Xu, et al. - "Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis," IEEE Transactions on Image Processing (TIP), 2015. [ paper, code]

  10. Dixin Luo, Hongteng Xu, Hongyuan Zha, et al. - "You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data," IEEE Transactions on Broadcasting (TB), 2014. [ paper, data]

  11. Hongteng Xu, Guangtao Zhai, Xiaolin Wu, Xiaokang Yang - "Generalized Equalization Model for Image Enhancement," IEEE Transactions on Multimedia (TMM), 2014. [ paper, code]

  12. Hongteng Xu, Guangtao Zhai, Xiaokang Yang - "Single Image Super-resolution with Detail Enhancement based on Local Fractal Analysis of Gradient," IEEE Transactions on Circuit Systems for Video Technology (CSVT), 2013. [paper, code]

  13. Hongteng Xu, Guangtao Zhai, Li Chen, Xiaokang Yang - "Automatic Movie Restoration Based on Wave Atom Transform and Nonparametric Model," EURASIP Journal on Advances in Signal Processing (JASP), 2012. [paper]




Conference

  1. 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.

  2. Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu - "Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction", AAAI Conference on Artificial Intelligence 2022.

  3. 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.

  4. 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.

  5. Shen Yuan, Hongteng Xu - "Self-organized Hawkes Processes", CAAI International Conference on Artificial Intelligence (CICAI) 2021.

  6. 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.

  7. 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]

  8. 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]

  9. 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]

  10. 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]

  11. 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]

  12. 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]

  13. Hongteng Xu - "Gromov-Wasserstein Factorization Models for Graph Clustering", AAAI Conference on Artificial Intelligence (AAAI), 2020. (Acceptance Rate: 20.6%) [ paper, code]

  14. 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%)

  15. 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]

  16. 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.

  17. 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]

  18. 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%)

  19. 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.

  20. 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]

  21. Xuanyu Zhu*, Yi Xu*, Hongteng Xu*, et al. - "Quaternion Convolutional Neural Networks", The European Conference on Computer Vision (ECCV), 2018. (Acceptance Rate: 24%) [paper]

  22. 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]

  23. 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]

  24. 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.

  25. 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]

  26. 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.

  27. 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]

  28. 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%)

  29. 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]

  30. 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]

  31. 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]

  32. 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]

  33. 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]

  34. 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)

  35. 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]

  36. 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]

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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]

  42. 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]

  43. Hongteng Xu, Hongyuan Zha - "Manifold based Image Synthesis from Sparse Samples," IEEE Conference on Computer Vision (ICCV), 2013. (Poster, Acceptance Rate: 27.9%) [ paper]

  44. 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]

  45. Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang - "World Expo Problem and Its Mixed Integer Programming Based Solution," BSI workshop of PAKDD, 2013. (Oral)

  46. 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]

  47. 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)

  48. Hongteng Xu, Guangtao Zhai - "ECG Data Compression Based on Wave Atom Transform," IEEE Workshop on Multimedia Signal Processing (MMSP), 2011. (Poster)