Xu, Hongteng

53 publications

AAAI 2025 A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu

AAAI 2025 An Optimal Transport-Based Latent Mixer for Robust Multi-Modal Learning Fengjiao Gong, Angxiao Yue, Hongteng Xu

CVPR 2025 Animate and Sound an Image Xihua Wang, Ruihua Song, Chongxuan Li, Xin Cheng, Boyuan Li, Yihan Wu, Yuyue Wang, Hongteng Xu, Yunfeng Wang

CVPR 2025 Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency Yutong Wang, Jiajie Teng, Jiajiong Cao, Yuming Li, Chenguang Ma, Hongteng Xu, Dixin Luo

NeurIPS 2025 MoORE: SVD-Based Model MoE-Ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation Shen Yuan, Yin Zheng, Taifeng Wang, Binbinliu, Hongteng Xu

ICML 2025 PolyConf: Unlocking Polymer Conformation Generation Through Hierarchical Generative Models Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao

ICML 2025 Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei

ICML 2025 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation Angxiao Yue, Zichong Wang, Hongteng Xu

ICML 2025 WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction Fanmeng Wang, Minjie Cheng, Hongteng Xu

AAAI 2025 WatE: A Wasserstein T-Distributed Embedding Method for Information-Enriched Graph Visualization Minjie Cheng, Dixin Luo, Hongteng Xu

IJCAI 2025 Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency Sidan Zhu, Yutong Wang, Hongteng Xu, Dixin Luo

AAAI 2024 A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation Angxiao Yue, Dixin Luo, Hongteng Xu

NeurIPS 2024 Bridging the Gap Between Low-Rank and Orthogonal Adaptation via Householder Reflection Adaptation Shen Yuan, Haotian Liu, Hongteng Xu

ICML 2024 Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu

CVPR 2024 Generalizable Face Landmarking Guided by Conditional Face Warping Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo

IJCAI 2024 Inferring Iterated Function Systems Approximately from Fractal Images Haotian Liu, Dixin Luo, Hongteng Xu

NeurIPSW 2024 TP$^2$DP$^2$: A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior Yiwei Dong, Shaoxin Ye, Yuwen Cao, Qiyu Han, Hongteng Xu, Hanfang Yang

IJCAI 2023 Coupled Point Process-Based Sequence Modeling for Privacy-Preserving Network Alignment Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu

IJCAI 2023 Group Sparse Optimal Transport for Sparse Process Flexibility Design Dixin Luo, Tingting Yu, Hongteng Xu

CVPR 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search Jiechao Yang, Yong Liu, Hongteng Xu

AAAI 2023 Hierarchical Contrastive Learning for Temporal Point Processes Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu

AAAI 2023 Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression Yue Xiang, Dixin Luo, Hongteng Xu

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

AAAI 2022 Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu

ICLR 2021 A Hypergradient Approach to Robust Regression Without Correspondence Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha

NeurIPS 2021 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu

AAAI 2021 Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

WACV 2021 Zero-Shot Recognition via Optimal Transport Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

ICLR 2020 Collaborative Filtering with a Synthetic Feedback Loop Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin

AAAI 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

AAAI 2020 Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu

ICML 2020 Learning Autoencoders with Relational Regularization Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin

ICML 2019 Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin Duke

NeurIPS 2019 Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu, Dixin Luo, Lawrence Carin

AISTATS 2018 Benefits from Superposed Hawkes Processes Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

NeurIPS 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin

AAAI 2018 Learning Conditional Generative Models for Temporal Point Processes Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

ICML 2018 Learning Registered Point Processes from Idiosyncratic Observations Hongteng Xu, Lawrence Carin, Hongyuan Zha

IJCAI 2018 Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes Hongteng Xu, Dixin Luo, Lawrence Carin

MLHC 2018 Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon

ECCV 2018 Quaternion Convolutional Neural Networks Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen

NeurIPS 2017 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering Hongteng Xu, Hongyuan Zha

CVPR 2017 Fractal Dimension Invariant Filtering and Its CNN-Based Implementation Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha

ICML 2017 Learning Hawkes Processes from Short Doubly-Censored Event Sequences Hongteng Xu, Dixin Luo, Hongyuan Zha

ICML 2016 Learning Granger Causality for Hawkes Processes Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha

ICCV 2015 A Matrix Decomposition Perspective to Multiple Graph Matching Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen Chu

AAAI 2015 Active Manifold Learning via Gershgorin Circle Guided Sample Selection Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport

AAAI 2015 Dictionary Learning with Mutually Reinforcing Group-Graph Structures Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu

IJCAI 2015 Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

IJCAI 2015 Trailer Generation via a Point Process-Based Visual Attractiveness Model Hongteng Xu, Yi Zhen, Hongyuan Zha

ICCV 2015 Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha

CVPR 2014 Manifold Based Dynamic Texture Synthesis from Extremely Few Samples Hongteng Xu, Hongyuan Zha, Mark A. Davenport

ICCV 2013 Manifold Based Face Synthesis from Sparse Samples Hongteng Xu, Hongyuan Zha