Hongteng Xu
51 papers · 2013–2026 · 12 venues · across top CS/AI venues
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Achievements
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(18)
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(9)
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Venues
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Research topics
Machine Learning
(38)
Core Methods
(23)
Deep Learning
(18)
Learning Types Β· Machine Learning
(15)
Artificial Intelligence
(14)
Mathematics & Optimization
(14)
Optimization
(12)
Computer Vision
(11)
Optimization & Theory
(10)
Architectures
(8)
Models
(7)
Application Areas
(6)
Core AI
(6)
Learning Paradigms
(6)
Learning Types Β· Deep Learning
(6)
Keywords
optimal transport
(11)
temporal point process
(5)
point process
(5)
hawkes process
(5)
graph matching
(4)
variational autoencoder
(3)
node embedding
(3)
gromov-wasserstein distance
(3)
multimodal learning
(3)
graph neural network
(3)
event sequence
(3)
representation learning
(2)
latent space
(2)
autoregressive model
(2)
generative model
(2)
semi-supervised learning
(2)
privacy preservation
(2)
convex optimization
(2)
video generation
(2)
manifold learning
(2)
Papers
Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation
CVPR 2026
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
AAAI 2026
Towards Effective Code-Integrated Reasoning
AAAI 2026
Animate and Sound an Image
CVPR 2025
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning
AAAI 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency
CVPR 2025
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
ICML 2025
Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived
ICML 2025
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
ICML 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency
IJCAI 2025
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
ICML 2025
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
AAAI 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
NeurIPS 2024
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
ICML 2024
Generalizable Face Landmarking Guided by Conditional Face Warping
CVPR 2024
Inferring Iterated Function Systems Approximately from Fractal Images
IJCAI 2024
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment
IJCAI 2023
Group Sparse Optimal Transport for Sparse Process Flexibility Design
IJCAI 2023
Hierarchical Contrastive Learning for Temporal Point Processes
AAAI 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
CVPR 2023
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
AAAI 2023
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
ICLR 2023
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
AAAI 2022
A Hypergradient Approach to Robust Regression without Correspondence
ICLR 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
NeurIPS 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters
AAAI 2021
Zero-Shot Recognition via Optimal Transport
WACV 2021
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
Learning Autoencoders with Relational Regularization
ICML 2020
Quaternion Product Units for Deep Learning on 3D Rotation Groups
CVPR 2020
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
ICML 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
NeurIPS 2019
Topic-Guided Variational Auto-Encoder for Text Generation
NAACL 2019
Benefits from Superposed Hawkes Processes
AISTATS 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
NeurIPS 2018
Learning Registered Point Processes from Idiosyncratic Observations
ICML 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
IJCAI 2018
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
MLHC 2018
Quaternion Convolutional Neural Networks
ECCV 2018
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
NeurIPS 2017
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation
CVPR 2017
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
ICML 2017
Learning Granger Causality for Hawkes Processes
ICML 2016
A Matrix Decomposition Perspective to Multiple Graph Matching
ICCV 2015
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences
IJCAI 2015
Trailer Generation via a Point Process-Based Visual Attractiveness Model
IJCAI 2015
Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage
ICCV 2015
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples
CVPR 2014
Manifold Based Face Synthesis from Sparse Samples
ICCV 2013