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Hongteng Xu
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2020 – today
- 2024
- [j20]Tao Li
, Cheng Meng
Hilbert Curve Projection Distance for Distribution Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4993-5007 (2024) - [j19]Zhongxiang Sun
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [c76]Angxiao Yue, Dixin Luo, Hongteng Xu:
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. AAAI 2024: 16633-16641 - [c75]Jinjia Feng
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM 2024: 1038-1048 - [c74]Fanmeng Wang
MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction. CIKM 2024: 2336-2346 - [c73]Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo:
Generalizable Face Landmarking Guided by Conditional Face Warping. CVPR 2024: 2425-2435 - [c72]Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu:
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. ICML 2024 - [c71]Haotian Liu, Dixin Luo, Hongteng Xu:
Inferring Iterated Function Systems Approximately from Fractal Images. IJCAI 2024: 7699-7707 - [c70]Xihua Wang
TiVA: Time-Aligned Video-to-Audio Generation. ACM Multimedia 2024: 573-582 - [c69]Yutong Wang
An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation. ACM Multimedia 2024: 9739-9748 - [c68]Zhongxiang Sun
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. SIGIR 2024: 1018-1028 - [c67]Minjie Cheng
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. WWW 2024: 815-826 - [i53]Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR abs/2403.00485 (2024) - [i52]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. CoRR abs/2404.03267 (2024) - [i51]Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo:
Generalizable Face Landmarking Guided by Conditional Face Warping. CoRR abs/2404.12322 (2024) - [i50]Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen:
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. CoRR abs/2405.15505 (2024) - [i49]Shen Yuan, Haotian Liu, Hongteng Xu:
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation. CoRR abs/2405.17484 (2024) - [i48]Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao:
Predicting Polymer Properties Based on Multimodal Multitask Pretraining. CoRR abs/2406.04727 (2024) - [i47]Yutong Wang, Sidan Zhu, Hongteng Xu, Dixin Luo:
An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation. CoRR abs/2407.19456 (2024) - [i46]Fanmeng Wang, Minjie Cheng, Hongteng Xu:
Predicting Molecular Ground-State Conformation via Conformation Optimization. CoRR abs/2410.09795 (2024) - [i45]Shen Yuan, Hongteng Xu:
Towards Better Multi-head Attention via Channel-wise Sample Permutation. CoRR abs/2410.10914 (2024) - 2023
- [j18]Mengyu Li
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification. J. Comput. Graph. Stat. 32(4): 1512-1523 (2023) - [j17]Hongteng Xu
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 999-1016 (2023) - [j16]Shaofei Qin
Fast Quaternion Product Units for Learning Disentangled Representations in $\mathbb {SO}(3)$. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4504-4520 (2023) - [j15]Dixin Luo
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7293-7307 (2023) - [j14]Hongteng Xu
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15426-15444 (2023) - [j13]Xu Chen
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023) - [j12]Junchi Yan
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1634-1638 (2023) - [c66]Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu:
Hierarchical Contrastive Learning for Temporal Point Processes. AAAI 2023: 10166-10174 - [c65]Yue Xiang, Dixin Luo, Hongteng Xu:
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. AAAI 2023: 14566-14574 - [c64]Fanmeng Wang
MPerformer: An SE(3) Transformer-based Molecular Perceptron. CIKM 2023: 2512-2522 - [c63]Jiechao Yang, Yong Liu, Hongteng Xu:
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search. CVPR 2023: 11990-12000 - [c62]Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR 2023 - [c61]Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu:
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. IJCAI 2023: 6112-6120 - [c60]Dixin Luo, Tingting Yu, Hongteng Xu:
Group Sparse Optimal Transport for Sparse Process Flexibility Design. IJCAI 2023: 6121-6129 - [c59]Yutong Wang
Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport. ACM Multimedia 2023: 6611-6622 - [c58]Zhuoqun Li
Debiased Imitation Learning for Modulated Temporal Point Processes. SDM 2023: 460-468 - [i44]Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu:
Text2Poster: Laying out Stylized Texts on Retrieved Images. CoRR abs/2301.02363 (2023) - [i43]Xiangfeng Wang, Hongteng Xu, Moyi Yang:
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison. CoRR abs/2301.12065 (2023) - [i42]Minjie Cheng, Hongteng Xu:
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. CoRR abs/2310.11762 (2023) - [i41]Haoran Cheng, Dixin Luo, Hongteng Xu:
DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework. CoRR abs/2310.12081 (2023) - [i40]Shen Yuan, Hongteng Xu:
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks. CoRR abs/2310.17683 (2023) - 2022
- [c57]Tiancheng Lin
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. AAAI 2022: 1601-1609 - [c56]Yuzhou Nie, Chengyue Huang, Hailun Liang, Hongteng Xu:
Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection. CICAI (2) 2022: 230-241 - [c55]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. CIKM 2022: 509-519 - [c54]Fengjiao Gong, Yuzhou Nie, Hongteng Xu:
Gromov-Wasserstein Multi-modal Alignment and Clustering. CIKM 2022: 603-613 - [c53]Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu:
Text2Poster: Laying Out Stylized Texts on Retrieved Images. ICASSP 2022: 4823-4827 - [c52]Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu:
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. ICDM 2022: 1323-1328 - [c51]Dixin Luo, Yutong Wang, Angxiao Yue, Hongteng Xu:
Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance. ACM Multimedia 2022: 728-739 - [c50]Weijie Yu, Zhongxiang Sun, Jun Xu
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668 - [i39]Minjie Cheng, Hongteng Xu:
Revisiting Pooling through the Lens of Optimal Transport. CoRR abs/2201.09191 (2022) - [i38]Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu:
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. CoRR abs/2204.09204 (2022) - [i37]Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng
Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification. CoRR abs/2205.13573 (2022) - [i36]Tao Li, Cheng Meng
Hilbert Curve Projection Distance for Distribution Comparison. CoRR abs/2205.15059 (2022) - [i35]Weijie Yu, Zhongxiang Sun, Jun Xu
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR abs/2207.04182 (2022) - [i34]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i33]Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu:
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. CoRR abs/2209.13014 (2022) - [i32]Hongteng Xu, Minjie Cheng:
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. CoRR abs/2212.06339 (2022) - 2021
- [j11]Huanjing Yue
Recaptured Screen Image Demoiréing. IEEE Trans. Circuits Syst. Video Technol. 31(1): 49-60 (2021) - [c49]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI 2021: 10505-10513 - [c48]David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL 2021: 14-24 - [c47]Shen Yuan, Hongteng Xu:
Self-organized Hawkes Processes. CICAI (2) 2021: 140-151 - [c46]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. ICLR 2021 - [c45]Mingguo He, Zhewei Wei, Zengfeng Huang
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS 2021: 14239-14251 - [c44]Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356 - [c43]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
Zero-Shot Recognition via Optimal Transport. WACV 2021: 3470-3480 - [i31]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Hawkes Processes on Graphons. CoRR abs/2102.02741 (2021) - [i30]Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo:
Learning Graphon Autoencoders for Generative Graph Modeling. CoRR abs/2105.14244 (2021) - [i29]Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu:
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR abs/2106.10994 (2021) - 2020
- [c42]Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI 2020: 979-988 - [c41]Hongteng Xu:
Gromov-Wasserstein Factorization Models for Graph Clustering. AAAI 2020: 6478-6485 - [c40]Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu:
Quaternion Product Units for Deep Learning on 3D Rotation Groups. CVPR 2020: 7302-7311 - [c39]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. ICML 2020: 10576-10586 - [i28]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. CoRR abs/2002.02913 (2020) - [i27]Dixin Luo, Hongteng Xu, Lawrence Carin:
Hierarchical Optimal Transport for Robust Multi-View Learning. CoRR abs/2006.03160 (2020) - [i26]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. CoRR abs/2012.00123 (2020) - [i25]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR abs/2012.05644 (2020)
2010 – 2019
- 2019
- [j10]Xu Chen
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37(1): 12:1-12:28 (2019) - [c38]Zheng Zhang
Single-Image Rain Removal Via Multi-Scale Cascading Image Generation. ICIP 2019: 2771-2775 - [c37]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML 2019: 6932-6941 - [c36]Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. KDD 2019: 3227-3228 - [c35]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) 2019: 166-177 - [c34]Hongteng Xu, Dixin Luo, Lawrence Carin:
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. NeurIPS 2019: 3046-3056 - [c33]Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR 2019: 765-774 - [i24]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR abs/1901.06003 (2019) - [i23]Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen:
Quaternion Convolutional Neural Networks. CoRR abs/1903.00658 (2019) - [i22]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019) - [i21]Hongteng Xu, Dixin Luo, Lawrence Carin:
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. CoRR abs/1905.07645 (2019) - [i20]Dixin Luo, Hongteng Xu, Lawrence Carin:
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. CoRR abs/1906.05492 (2019) - [i19]Dixin Luo, Hongteng Xu, Lawrence Carin:
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. CoRR abs/1906.08397 (2019) - [i18]Dixin Luo, Hongteng Xu, Lawrence Carin:
Fused Gromov-Wasserstein Alignment for Hawkes Processes. CoRR abs/1910.02096 (2019) - [i17]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
An Optimal Transport Framework for Zero-Shot Learning. CoRR abs/1910.09057 (2019) - [i16]Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. CoRR abs/1910.12735 (2019) - [i15]Hongteng Xu:
Gromov-Wasserstein Factorization Models for Graph Clustering. CoRR abs/1911.08530 (2019) - [i14]Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR abs/1911.08709 (2019) - [i13]Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu:
Quaternion Product Units for Deep Learning on 3D Rotation Groups. CoRR abs/1912.07791 (2019) - 2018
- [j9]Hongteng Xu
A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. 66(21): 5563-5576 (2018) - [c32]Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha:
Learning Conditional Generative Models for Temporal Point Processes. AAAI 2018: 6302-6310 - [c31]Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin:
Benefits from Superposed Hawkes Processes. AISTATS 2018: 623-631 - [c30]Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen:
Quaternion Convolutional Neural Networks. ECCV (8) 2018: 645-661 - [c29]Shiyu Ning, Hongteng Xu, Li Song, Rong Xie, Wenjun Zhang:
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer. ICASSP 2018: 1383-1387 - [c28]He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu:
Flexible Network Binarization with Layer-Wise Priority. ICIP 2018: 2346-2350 - [c27]Hongteng Xu, Lawrence Carin, Hongyuan Zha:
Learning Registered Point Processes from Idiosyncratic Observations. ICML 2018: 5439-5448 - [c26]Hongteng Xu, Dixin Luo, Lawrence Carin
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. IJCAI 2018: 2905-2911 - [c25]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. MLHC 2018: 312-331 - [c24]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS 2018: 1723-1732 - [c23]Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Sequential Recommendation with User Memory Networks. WSDM 2018: 108-116 - [i12]Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha:
Visually Explainable Recommendation. CoRR abs/1801.10288 (2018) - [i11]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. CoRR abs/1809.01740 (2018) - [i10]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR abs/1809.04705 (2018) - [i9]Hongteng Xu:
PoPPy: A Point Process Toolbox Based on PyTorch. CoRR abs/1810.10122 (2018) - 2017
- [b1]Hongteng Xu:
Point process-based modeling and analysis of asynchronous event sequences. Georgia Institute of Technology, Atlanta, GA, USA, 2017 - [j8]Weiyao Lin
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1489-1503 (2017) - [j7]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. 29(1): 157-171 (2017) - [c22]Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR 2017: 3825-3833 - [c21]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). ICDE 2017: 35-36 - [c20]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE 2017: 37-38 - [c19]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Learning Hawkes Processes from Short Doubly-Censored Event Sequences. ICML 2017: 3831-3840 - [c18]Hongteng Xu, Hongyuan Zha:
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. NIPS 2017: 1354-1363 - [c17]Xu Chen, Yongfeng Zhang, Qingyao Ai
Personalized Key Frame Recommendation. SIGIR 2017: 315-324 - [i8]Hongteng Xu, Hongyuan Zha:
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. CoRR abs/1701.09177 (2017) - [i7]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Learning Hawkes Processes from Short Doubly-Censored Event Sequences. CoRR abs/1702.07013 (2017) - [i6]Hongteng Xu, Hongyuan Zha:
THAP: A Matlab Toolkit for Learning with Hawkes Processes. CoRR abs/1708.09252 (2017) - [i5]Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
Active manifold learning via a unified framework for manifold landmarking. CoRR abs/1710.09334 (2017) - 2016
- [j6]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Trans. Knowl. Data Eng. 28(6): 1518-1531 (2016) - [c16]Hongteng Xu, Xia Ning, Hui Zhang, Junghwan Rhee, Guofei Jiang:
PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events. ICAC 2016: 199-208 - [c15]Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha:
Learning Granger Causality for Hawkes Processes. ICML 2016: 1717-1726 - [i4]Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha:
Learning Granger Causality for Hawkes Processes. CoRR abs/1602.04511 (2016) - [i3]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR abs/1602.05112 (2016) - [i2]Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha:
A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR abs/1603.06036 (2016) - [i1]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. CoRR abs/1609.03058 (2016) - 2015
- [j5]Yi Xu, Licheng Yu, Hongteng Xu, Hao Zhang, Truong Nguyen:
Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis. IEEE Trans. Image Process. 24(4): 1315-1329 (2015) - [c14]Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu:
Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI 2015: 3101-3107 - [c13]Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport:
Active Manifold Learning via Gershgorin Circle Guided Sample Selection. AAAI 2015: 3108-3114 - [c12]Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu:
A Matrix Decomposition Perspective to Multiple Graph Matching. ICCV 2015: 199-207 - [c11]Hongteng Xu, Yang Zhou, Weiyao Lin
Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. ICCV 2015: 4328-4336 - [c10]Hongteng Xu, Yi Zhen, Hongyuan Zha:
Trailer Generation via a Point Process-Based Visual Attractiveness Model. IJCAI 2015: 2198-2204 - [c9]Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. IJCAI 2015: 3685-3691 - 2014
- [j4]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 Trans. Broadcast. 60(1): 61-72 (2014) - [j3]Hongteng Xu, Guangtao Zhai, Xiaolin Wu, Xiaokang Yang:
Generalized Equalization Model for Image Enhancement. IEEE Trans. Multim. 16(1): 68-82 (2014) - [c8]Hongteng Xu, Hongyuan Zha, Mark A. Davenport:
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. CVPR 2014: 3019-3026 - 2013
- [j2]Hongteng Xu, Guangtao Zhai, Xiaokang Yang:
Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient. IEEE Trans. Circuits Syst. Video Technol. 23(10): 1740-1754 (2013) - [c7]Hongteng Xu, Hongyuan Zha:
Manifold Based Face Synthesis from Sparse Samples. ICCV 2013: 2208-2215 - [c6]Licheng Yu, Yi Xu, Hongteng Xu, Xiaokang Yang:
Self-example based super-resolution with fractal-based gradient enhancement. ICME Workshops 2013: 1-6 - [c5]Licheng Yu, Yi Xu, Hongteng Xu, Hao Zhang:
Quaternion-based sparse representation of color image. ICME 2013: 1-7 - [c4]Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang:
World Expo Problem and Its Mixed Integer Programming Based Solution. BSI@PAKDD/BSIC@IJCAI 2013: 56-67 - 2012
- [j1]Hongteng Xu, Guangtao Zhai, Li Chen, Xiaokang Yang:
Automatic Movie Restoration Based on Wave Atom Transform and Nonparametric Model. EURASIP J. Adv. Signal Process. 2012: 132 (2012) - [c3]Licheng Yu, Hongteng Xu, Yi Xu, Xiaokang Yang:
Robust single image super-resolution based on gradient enhancement. APSIPA 2012: 1-6 - [c2]Hongteng Xu, Guangtao Zhai, Xiaokang Yang:
No reference measurement of contrast distortion and optimal contrast enhancement. ICPR 2012: 1981-1984 - 2011
- [c1]Hongteng Xu, Guangtao Zhai:
ECG data compression based on wave atom transform. MMSP 2011: 1-5
Coauthor Index
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Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-26 00:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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