Hongteng Xu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 121

Top Venues

CoRR

AAAI

IEEE Trans. Pattern Anal. Mach. Intell.

IJCAI

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Yutong Wang, Sidan Zhu, Hongteng Xu, Dixin Luo
An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation. CoRR (2024)
Angxiao Yue, Dixin Luo, Hongteng Xu
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. AAAI (2024)
Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. CoRR (2024)
Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo
Generalizable Face Landmarking Guided by Conditional Face Warping. CoRR (2024)
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)
Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao
Predicting Polymer Properties Based on Multimodal Multitask Pretraining. CoRR (2024)
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) (2024)
Minjie Cheng, Hongteng Xu
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. WWW (2024)
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 (2024)
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 (2024)
Tao Li, Cheng Meng, Hongteng Xu, Jun Yu
Hilbert Curve Projection Distance for Distribution Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Shen Yuan, Haotian Liu, Hongteng Xu
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation. CoRR (2024)
Yutong Wang, Hongteng Xu, Dixin Luo
Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport. ACM Multimedia (2023)
Minjie Cheng, Hongteng Xu
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. CoRR (2023)
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) (2023)
Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang
MPerformer: An SE(3) Transformer-based Molecular Perceptron. CIKM (2023)
Dixin Luo, Tingting Yu, Hongteng Xu
Group Sparse Optimal Transport for Sparse Process Flexibility Design. IJCAI (2023)
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) (2023)
Jiechao Yang, Yong Liu, Hongteng Xu
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search. CVPR (2023)
Xiangfeng Wang, Hongteng Xu, Moyi Yang
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison. CoRR (2023)
Shen Yuan, Hongteng Xu
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks. CoRR (2023)
Haoran Cheng, Dixin Luo, Hongteng Xu
DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework. CoRR (2023)
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)
Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. IJCAI (2023)
Dixin Luo, Hongteng Xu, Lawrence Carin
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu
Debiased Imitation Learning for Modulated Temporal Point Processes. SDM (2023)
Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu
Hierarchical Contrastive Learning for Temporal Point Processes. AAAI (2023)
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) (2023)
Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu
Text2Poster: Laying out Stylized Texts on Retrieved Images. CoRR (2023)
Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification. J. Comput. Graph. Stat. 32 (4) (2023)
Hongteng Xu, Minjie Cheng
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yue Xiang, Dixin Luo, Hongteng Xu
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. AAAI (2023)
Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. CoRR (2022)
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 (2022)
Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng
Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification. CoRR (2022)
Fengjiao Gong, Yuzhou Nie, Hongteng Xu
Gromov-Wasserstein Multi-modal Alignment and Clustering. CIKM (2022)
Yuzhou Nie, Chengyue Huang, Hailun Liang, Hongteng Xu
Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection. CICAI (2) (2022)
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. ICDM (2022)
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)
Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. AAAI (2022)
Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu
Text2Poster: Laying Out Stylized Texts on Retrieved Images. ICASSP (2022)
Tao Li, Cheng Meng, Jun Yu, Hongteng Xu
Hilbert Curve Projection Distance for Distribution Comparison. CoRR (2022)
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)
Minjie Cheng, Hongteng Xu
Revisiting Pooling through the Lens of Optimal Transport. CoRR (2022)
Hongteng Xu, Minjie Cheng
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. CoRR (2022)
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 (2022)
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. CoRR (2022)
Dixin Luo, Yutong Wang, Angxiao Yue, Hongteng Xu
Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance. ACM Multimedia (2022)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. ICLR (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. CHIL (2021)
Hongteng Xu, Dixin Luo, Hongyuan Zha
Hawkes Processes on Graphons. CoRR (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR (2021)
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
Counterfactual Data-Augmented Sequential Recommendation. SIGIR (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS (2021)
Huanjing Yue, Yan Mao, Lipu Liang, Hongteng Xu, Chunping Hou, Jingyu Yang
Recaptured Screen Image Demoiréing. IEEE Trans. Circuits Syst. Video Technol. 31 (1) (2021)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
Zero-Shot Recognition via Optimal Transport. WACV (2021)
Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo
Learning Graphon Autoencoders for Generative Graph Modeling. CoRR (2021)
Shen Yuan, Hongteng Xu
Self-organized Hawkes Processes. CICAI (2) (2021)
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI (2021)
Hongteng Xu
Gromov-Wasserstein Factorization Models for Graph Clustering. AAAI (2020)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. CoRR (2020)
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR (2020)
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
Learning Autoencoders with Relational Regularization. CoRR (2020)
Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu
Quaternion Product Units for Deep Learning on 3D Rotation Groups. CVPR (2020)
Dixin Luo, Hongteng Xu, Lawrence Carin
Hierarchical Optimal Transport for Robust Multi-View Learning. CoRR (2020)
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)
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
Learning Autoencoders with Relational Regularization. ICML (2020)
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML (2019)
Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen
Quaternion Convolutional Neural Networks. CoRR (2019)
Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu
Quaternion Product Units for Deep Learning on 3D Rotation Groups. CoRR (2019)
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 (2019)
Junchi Yan, Hongteng Xu, Liangda Li
Modeling and Applications for Temporal Point Processes. KDD (2019)
Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu
Single-Image Rain Removal Via Multi-Scale Cascading Image Generation. ICIP (2019)
Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37 (1) (2019)
Dixin Luo, Hongteng Xu, Lawrence Carin
Fused Gromov-Wasserstein Alignment for Hawkes Processes. CoRR (2019)
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR (2019)
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)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
An Optimal Transport Framework for Zero-Shot Learning. CoRR (2019)
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)
Dixin Luo, Hongteng Xu, Lawrence Carin
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. CoRR (2019)
Hongteng Xu, Dixin Luo, Lawrence Carin
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. NeurIPS (2019)
Dixin Luo, Hongteng Xu, Lawrence Carin
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. CoRR (2019)
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin
Collaborative Filtering with A Synthetic Feedback Loop. CoRR (2019)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Autoencoders for Text Generation. CoRR (2019)
Hongteng Xu
Gromov-Wasserstein Factorization Models for Graph Clustering. CoRR (2019)
Hongteng Xu, Dixin Luo, Lawrence Carin
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. CoRR (2019)
Shiyu Ning, Hongteng Xu, Li Song, Rong Xie, Wenjun Zhang
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer. ICASSP (2018)
Hongteng Xu, Dixin Luo, Lawrence Carin
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. IJCAI (2018)
Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen
Quaternion Convolutional Neural Networks. ECCV (8) (2018)
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)
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS (2018)
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
Sequential Recommendation with User Memory Networks. WSDM (2018)
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 (2018)
Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin
Benefits from Superposed Hawkes Processes. AISTATS (2018)
Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha
Visually Explainable Recommendation. CoRR (2018)
Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. 66 (21) (2018)
He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu
Flexible Network Binarization with Layer-Wise Priority. ICIP (2018)
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR (2018)
Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
Learning Conditional Generative Models for Temporal Point Processes. AAAI (2018)

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Publication Activity (10 Years)

Top Topics

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Hongteng Xu