Preprint


  1. Yicheng Tao, Haotian Liu, Shanwen Wang, Hongteng Xu. Assisting Mathematical Formalization with A Learning-based Premise Retriever, arXiv [paper]

  2. Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen. Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck, arXiv [paper]

  3. Shen Yuan*, Hongteng Xu*. Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks, arXiv [paper]

  4. Xiangfeng Wang*, Hongteng Xu*, Moyi Yang*. Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison, arXiv [paper]

  5. Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo. Learning Graphon Autoencoders for Generative Graph Modeling, arXiv [paper]

  6. Hongteng Xu, Dixin Luo, Hongyuan Zha. Hawkes Processes on Graphons, arXiv [paper]

  7. Dixin Luo, Hongteng Xu, Lawrence Carin. Interpretable ICD Code Embeddings with Self-and Mutual-Attention Mechanisms, arXiv [paper]

  8. Hongteng Xu. PoPPy: A Point Process Toolbox Based on PyTorch, arXiv [paper, code]

  9. Hongteng Xu, Hongyuan Zha. THAP: A Matlab Toolkit for Learning with Hawkes Processes, arXiv [paper, code]




Journal


  1. Tao Li*, Cheng Meng*, Hongteng Xu*, Jun Yu*. Hilbert Curve Projection Distance for Distribution Comparison, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 [paper]

  2. Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen. Explainable Legal Case Matching via Graph Optimal Transport, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 [paper]

  3. Hongteng Xu*, Minjie Cheng*. Regularized Optimal Transport Layers for Generalized Global Pooling Operations, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 [paper]

  4. Yuhan Chen, Jimeng Wang, Meixi Yi, Hongteng Xu, Hailun Liang*. The COVID-19 Vaccination Decision-making Preferences of Elderly People: A Discrete Choice Experiment, Scientific Reports, 2023 [paper]

  5. Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng. Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification, Journal of Computational and Graphical Statistics (JCGS), 2023 [paper]

  6. Dixin Luo, Hongteng Xu, Lawrence Carin. Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 [paper]

  7. Shaofei Qin, Xuan Zhang, Hongteng Xu, Yi Xu. Fast Quaternion Product Units for Learning Disentangled Representations in SO(3), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 [paper]

  8. 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]

  9. Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen. Data Augmented Sequential Recommendation based on Counterfactual Thinking, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 [paper]

  10. Huanjing Yue, Yan Mao, Lipu Liang, Hongteng Xu, Chunping Hou, Jingyu Yang. Recaptured Screen Image Demoiréing, IEEE Transactions on Circuit System and Video Technology (TCSVT), 2020 [paper]

  11. 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 [paper]

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

  13. 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]

  14. Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu. A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017 [paper]

  15. Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang. Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016 [paper]

  16. Yi Xu, Licheng Yu, Hongteng Xu, Hao Zhang, Truong Nguyen. Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis, IEEE Transactions on Image Processing (TIP), 2015 [paper, code]

  17. Dixin Luo, Hongteng Xu, Hongyuan Zha, Jun Du, Rong Xie, Xiaokang Yang, Wenjun Zhang. You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data, IEEE Transactions on Broadcasting (TB), 2014 [paper]

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

  19. 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]

  20. 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. Fengjiao Gong, Zichong Wang, Hongteng Xu. Unbalanced Co-relational Optimal Transport for Robust Heterogeneous Data Alignment, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 [paper]

  2. Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu. A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes, The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper]

  3. Fengjiao Gong, Angxiao Yue, Hongteng Xu. An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning, The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper]

  4. Minjie Cheng, Dixin Luo, Hongteng Xu. WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization, The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper]

  5. Shen Yuan, Haotian Liu, Hongteng Xu. Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 [paper]

  6. Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao. MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction, The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024 [paper]

  7. Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu. Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning, The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024 [paper]

  8. Yutong Wang*, Sidan Zhu*, Hongteng Xu, Dixin Luo. An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation, The 32nd ACM International Conference on Multimedia (ACMMM), 2024 [paper]

  9. Xihua Wang, Yuyue Wang, Yihan Wu, Ruihua Song, Xu Tan, Zehua Chen, Hongteng Xu, Guodong Sui. TiVA: Time-Aligned Video-to-Audio Generation, The 32nd ACM International Conference on Multimedia (ACMMM), 2024 [paper]

  10. Haotian Liu, Dixin Luo, Hongteng Xu. Inferring Iterated Function Systems Approximately from Fractal Images, The International Joint Conference on Artificial Intelligence (IJCAI), 2024 [paper]

  11. Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu. Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data, The Forty-first International Conference on Machine Learning (ICML), 2024 [paper]

  12. Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu*, Jun Xu. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024

  13. Minjie Cheng*, Hongteng Xu*. A Quasi-Wasserstein Loss for Learning Graph Neural Networks, The ACM Web Conference (WWW), 2024 [paper]

  14. Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo. Generalizable Face Landmarking Guided by Conditional Face Warping, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [paper]

  15. Angxiao Yue, Dixin Luo, Hongteng Xu. A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation, AAAI Conference on Artificial Intelligence (AAAI), 2024 [paper]

  16. Yutong Wang, Hongteng Xu, Dixin Luo. Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport, The 31st ACM International Conference on Multimedia (ACMMM), 2023 [paper]

  17. Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang. MPerformer: An SE(3) Transformer-based Molecular Perceptron, The 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023 [paper]

  18. Dixin Luo, Tingting Yu, Hongteng Xu. Group Sparse Optimal Transport for Sparse Process Flexibility Design, The International Joint Conference on Artificial Intelligence (IJCAI), 2023 [paper]

  19. Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu. Coupled Point Process-based Sequence modeling for Privacy-preserving Network Alignment, The International Joint Conference on Artificial Intelligence (IJCAI), 2023 [paper]

  20. Jiechao Yang, Yong Liu, Hongteng Xu. HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  21. Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke. Uni-Mol: A Universal 3D Molecular Representation Learning Framework, International Conference on Learning Representation (ICLR), 2023

  22. Zhuoqun Li, Mingxuan Sun, Zihan Zhou, Hongteng Xu. Debiased Imitation Learning for Modulated Temporal Point Processes, SIAM International Conference on Data Mining (SDM), 2023

  23. Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu. Hierarchical Contrastive Learning for Temporal Point Processes, AAAI Conference on Artificial Intelligence (AAAI), 2023 [paper]

  24. Yue Xiang, Dixin Luo, Hongteng Xu. Privacy-preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression, AAAI Conference on Artificial Intelligence (AAAI, AI for Social Impact Track), 2023 [paper]

  25. Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu. MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio, The 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022

  26. Yuzhou Nie*, Chengyue Huang*, Hailun Liang, Hongteng Xu. Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection, CAAI International Conference on Artificial Intelligence (CICAI), 2022

  27. Fengjiao Gong*, Yuzhou Nie*, Hongteng Xu. Gromov-Wasserstein Multi-modal Alignment and Clustering, The 31th ACM International Conference on Information and Knowledge Management (CIKM) 2022 [paper]

  28. Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu. Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling, IEEE International Conference on Data Mining (ICDM), 2022

  29. Dixin Luo, Yutong Wang, Angxiao Yue, Hongteng Xu. Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance, The 30th ACM International Conference on Multimedia (ACMMM), 2022 [paper]

  30. Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu Ji-Rong Wen. Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

  31. 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

  32. Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu. Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction, AAAI Conference on Artificial Intelligence (AAAI), 2022 [paper]

  33. 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 [paper]

  34. 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

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

  36. 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

  37. 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), 2021 [paper]

  38. Hongteng Xu Dixin Luo, Lawrence Carin, Hongyuan Zha. Learning Graphons via Structured Gromov-Wasserstein Barycenters, AAAI Conference on Artificial Intelligence (AAAI), 2021 [paper, code]

  39. 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]

  40. Hongteng Xu*, Dixin Luo*, Ricardo Henao, Svati Shah, Lawrence Carin. Learning Autoencoders with Relational Regularization, The International Conference on Machine Learning (ICML), 2020 [paper, code]

  41. 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 [paper, code]

  42. Hongteng Xu. Gromov-Wasserstein Factorization Models for Graph Clustering, AAAI Conference on Artificial Intelligence (AAAI), 2020 [paper, code]

  43. Wenlin Wang, Hongteng Xu, Zhe Gan. Graph-Driven Generative Models for Heterogeneous Multi-Task Learning, AAAI Conference on Artificial Intelligence (AAAI), 2020

  44. 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 [paper, code]

  45. 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

  46. 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 [paper, code]

  47. Xu Chen, Hanxiong Chen, Hongteng Xu. Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019

  48. Wenlin Wang, Zhe Gan, Hongteng Xu. Topic-Guided Variational Auto-Encoder for Text Generation, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019

  49. 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 (NeurIPS), 2018 [paper]

  50. Xuanyu Zhu*, Yi Xu*, Hongteng Xu*, Changjian Chen. Quaternion Convolutional Neural Networks, The European Conference on Computer Vision (ECCV), 2018 [paper]

  51. Matthew Engelhard*, Hongteng Xu*, Jason Oliver, Matt Hallyburton, Francis McClernon. Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model, The Conference on Machine Learning for Healthcare (MLHC), 2018 [paper]

  52. Hongteng Xu, Lawrence Carin, Hongyuan Zha. Learning Registered Point Processes from Idiosyncratic Observations, The International Conference on Machine Learning (ICML), 2018 [paper]

  53. 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

  54. 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 [paper]

  55. Shiyu Ning, Hongteng Xu, Li Song, Rong Xie, Wenjun Zhang. Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

  56. 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 [paper]

  57. Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha. Learning Conditional Generative Models for Temporal Point Processes, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018

  58. Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha. Sequential Recommendation with User Memory Networks, ACM International Conference on Web Search and Data Mining (WSDM), 2018 [paper]

  59. Hongteng Xu and Hongyuan Zha. A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering, Annual Conference on Neural Information Processing Systems (NeurIPS), 2017 [paper, code]

  60. Hongteng Xu, Dixin Luo, Hongyuan Zha. Learning Hawkes Processes from Short Doubly-Censored Event Sequences, International Conference on Machine Learning (ICML), 2017 [paper, code]

  61. Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin. Personalized Key Frame Recommendation, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017 [paper]

  62. Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha. Fractal Dimension Invariant Filtering and Its CNN-based Implementation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [paper, code]

  63. Hongteng Xu, Xia Ning, Hui Zhang, Junghwan Rhee, Guofei Jiang. PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events, IEEE International Conference on Autonomic Computing (ICAC), 2016

  64. Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha. Learning Granger Causality for Hawkes Processes, International Conference on Machine Learning (ICML), 2016 [paper, code]

  65. Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha. Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-based Shrinkage, International Conference on Computer Vision (ICCV), 2015 [paper, code]

  66. Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang. A Matrix Decomposition Perspective to Multiple Graph Matching, International Conference on Computer Vision (ICCV), 2015 [paper]

  67. 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 [paper, demo]

  68. Hongteng Xu*, Dixin Luo*, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang. Multi-task Multi-dimensional Hawkes Processes for Modeling Event Sequences, The Twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015 [paper, code]

  69. 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 [paper, code]

  70. 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 [paper]

  71. 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 [paper, code, demo]

  72. Hongteng Xu, Hongyuan Zha. Manifold based Image Synthesis from Sparse Samples, IEEE Conference on Computer Vision (ICCV), 2013 [paper]

  73. Lichen Yu, Yi Xu, Hongteng Xu, Hao Zhang. Quaternion-based Sparse Representation of Color Image, IEEE Conference on Multimedia and Expo (ICME), 2013 [paper, code]

  74. Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang. World Expo Problem and Its Mixed Integer Programming Based Solution, BSI workshop of PAKDD, 2013

  75. Hongteng Xu, Guangtao Zhai, Xiaokang Yang. No Reference Measurement of Contrast Distortion and Optimal Contrast Enhancement, IEEE Conference on Pattern Recognition (ICPR), 2012 [paper, code]

  76. 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

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