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2020 – today
- 2024
[j20]Tao Li
, Cheng Meng, Hongteng Xu, Jun Yu:
Hilbert Curve Projection Distance for Distribution Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4993-5007 (2024)- [j19]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 Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [c74]Angxiao Yue, Dixin Luo, Hongteng Xu:
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. AAAI 2024: 16633-16641 - [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, Yuyue Wang, Yihan Wu, Ruihua Song, Xu Tan, Zehua Chen, Hongteng Xu, Guodong Sui:
TiVA: Time-Aligned Video-to-Audio Generation. ACM Multimedia 2024: 573-582 - [c69]Yutong Wang, Sidan Zhu, Hongteng Xu, Dixin Luo:
An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation. ACM Multimedia 2024: 9739-9748 - [c68]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. SIGIR 2024: 1018-1028 - [c67]Minjie Cheng, Hongteng Xu:
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. WWW 2024: 815-826 - [i51]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:
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR abs/2403.00485 (2024) - [i50]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) - [i49]Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo:
Generalizable Face Landmarking Guided by Conditional Face Warping. CoRR abs/2404.12322 (2024) - [i48]Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen:
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. CoRR abs/2405.15505 (2024) - [i47]Shen Yuan, Haotian Liu, Hongteng Xu:
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation. CoRR abs/2405.17484 (2024) - [i46]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) - [i45]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) - 2023
- [j18]Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng:
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification. J. Comput. Graph. Stat. 32(4): 1512-1523 (2023) - [j17]Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin:
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 999-1016 (2023) - [j16]Shaofei Qin, Xuan Zhang, Hongteng Xu, Yi Xu:
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, Hongteng Xu, Lawrence Carin:
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7293-7307 (2023) - [j14]Hongteng Xu, Minjie Cheng:
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15426-15444 (2023) - [j13]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 Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023) - [j12]Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang:
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, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang:
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, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke:
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, Hongteng Xu, Dixin Luo:
Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport. ACM Multimedia 2023: 6611-6622 - [c58]Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu:
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, Hongteng Xu, Canqian Yang, Yi Xu:
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, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
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, Jun Yu, Hongteng Xu:
Hilbert Curve Projection Distance for Distribution Comparison. CoRR abs/2205.15059 (2022) - [i35]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. CoRR abs/2207.04182 (2022) - [i34]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:
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, Yan Mao, Lipu Liang, Hongteng Xu, Chunping Hou, Jingyu Yang:
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, 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. 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, Hongteng Xu:
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, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha:
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37(1): 12:1-12:28 (2019) - [c38]Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu:
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, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
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, 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 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, Hongyuan Zha:
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR 2017: 3825-3833 - [c21]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 (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, Hongteng Xu, Junchi Yan, Zheng Qin:
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, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
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, Hongyuan Zha:
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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