Hongteng Xu

Orcid: 0000-0003-4192-5360

According to our database1, Hongteng Xu authored at least 123 papers between 2011 and 2024.

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Bibliography

2024
Explainable Legal Case Matching via Graph Optimal Transport.
IEEE Trans. Knowl. Data Eng., June, 2024

Hilbert Curve Projection Distance for Distribution Comparison.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation.
CoRR, 2024

Predicting Polymer Properties Based on Multimodal Multitask Pretraining.
CoRR, 2024

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation.
CoRR, 2024

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck.
CoRR, 2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR, 2024

A Quasi-Wasserstein Loss for Learning Graph Neural Networks.
Proceedings of the ACM on Web Conference 2024, 2024

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TiVA: Time-Aligned Video-to-Audio Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Inferring Iterated Function Systems Approximately from Fractal Images.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalizable Face Landmarking Guided by Conditional Face Warping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.
IEEE Trans. Knowl. Data Eng., September, 2023

Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fast Quaternion Product Units for Learning Disentangled Representations in $\mathbb {SO}(3)$.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Representing Graphs via Gromov-Wasserstein Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification.
J. Comput. Graph. Stat., 2023

Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks.
CoRR, 2023

DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework.
CoRR, 2023

Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison.
CoRR, 2023

Debiased Imitation Learning for Modulated Temporal Point Processes.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Group Sparse Optimal Transport for Sparse Process Flexibility Design.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Uni-Mol: A Universal 3D Molecular Representation Learning Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MPerformer: An SE(3) Transformer-based Molecular Perceptron.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Hierarchical Contrastive Learning for Temporal Point Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.
CoRR, 2022

Hilbert Curve Projection Distance for Distribution Comparison.
CoRR, 2022

Revisiting Pooling through the Lens of Optimal Transport.
CoRR, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2022

Text2Poster: Laying Out Stylized Texts on Retrieved Images.
Proceedings of the IEEE International Conference on Acoustics, 2022

Gromov-Wasserstein Multi-modal Alignment and Clustering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Recaptured Screen Image Demoiréing.
IEEE Trans. Circuits Syst. Video Technol., 2021

Learning Graphon Autoencoders for Generative Graph Modeling.
CoRR, 2021

Hawkes Processes on Graphons.
CoRR, 2021

Zero-Shot Recognition via Optimal Transport.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Counterfactual Data-Augmented Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hypergradient Approach to Robust Regression without Correspondence.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-organized Hawkes Processes.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Learning Graphons via Structured Gromov-Wasserstein Barycenters.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical Optimal Transport for Robust Multi-View Learning.
CoRR, 2020

Learning Autoencoders with Relational Regularization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Quaternion Product Units for Deep Learning on 3D Rotation Groups.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gromov-Wasserstein Factorization Models for Graph Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adversarial Distillation for Efficient Recommendation with External Knowledge.
ACM Trans. Inf. Syst., 2019

Collaborative Filtering with A Synthetic Feedback Loop.
CoRR, 2019

An Optimal Transport Framework for Zero-Shot Learning.
CoRR, 2019

Fused Gromov-Wasserstein Alignment for Hawkes Processes.
CoRR, 2019

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes.
CoRR, 2019

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms.
CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.
CoRR, 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling and Applications for Temporal Point Processes.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Gromov-Wasserstein Learning for Graph Matching and Node Embedding.
Proceedings of the 36th International Conference on Machine Learning, 2019

Single-Image Rain Removal Via Multi-Scale Cascading Image Generation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
A Unified Framework for Manifold Landmarking.
IEEE Trans. Signal Process., 2018

PoPPy: A Point Process Toolbox Based on PyTorch.
CoRR, 2018

Visually Explainable Recommendation.
CoRR, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Distilled Wasserstein Learning for Word Embedding and Topic Modeling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Registered Point Processes from Idiosyncratic Observations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Flexible Network Binarization with Layer-Wise Priority.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Quaternion Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Benefits from Superposed Hawkes Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Point process-based modeling and analysis of asynchronous event sequences.
PhD thesis, 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.
IEEE Trans. Knowl. Data Eng., 2017

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Active manifold learning via a unified framework for manifold landmarking.
CoRR, 2017

THAP: A Matlab Toolkit for Learning with Hawkes Processes.
CoRR, 2017

Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Hawkes Processes from Short Doubly-Censored Event Sequences.
Proceedings of the 34th International Conference on Machine Learning, 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.
IEEE Trans. Knowl. Data Eng., 2016

A Fractal-based CNN for Detecting Complicated Curves in AFM Images.
CoRR, 2016

ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.
CoRR, 2016

Learning Granger Causality for Hawkes Processes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015
Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis.
IEEE Trans. Image Process., 2015

Trailer Generation via a Point Process-Based Visual Attractiveness Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Active Manifold Learning via Gershgorin Circle Guided Sample Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Dictionary Learning with Mutually Reinforcing Group-Graph Structures.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Generalized Equalization Model for Image Enhancement.
IEEE Trans. Multim., 2014

You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data.
IEEE Trans. Broadcast., 2014

Manifold Based Dynamic Texture Synthesis from Extremely Few Samples.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient.
IEEE Trans. Circuits Syst. Video Technol., 2013

World Expo Problem and Its Mixed Integer Programming Based Solution.
Proceedings of the Behavior and Social Computing, 2013

Quaternion-based sparse representation of color image.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Self-example based super-resolution with fractal-based gradient enhancement.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Manifold Based Face Synthesis from Sparse Samples.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Automatic Movie Restoration Based on Wave Atom Transform and Nonparametric Model.
EURASIP J. Adv. Signal Process., 2012

No reference measurement of contrast distortion and optimal contrast enhancement.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust single image super-resolution based on gradient enhancement.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
ECG data compression based on wave atom transform.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011


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