← Authors

Hongteng Xu

50 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (89) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (183) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (48)

Conferences

AAAI (11) ICML (10) CVPR (7) IJCAI (7) NIPS (5) ICCV (3) ICLR (2) AISTATS (1) ECCV (1) MLHC (1) NAACL (1) WACV (1)

Top co-authors

Dixin Luo (17) Hongyuan Zha (14) Lawrence Carin (11) Wenlin Wang (4) Angxiao Yue (3) Yi Xu (3) Junchi Yan (3) Zhewei Wei (3) Guoyin Wang (3) Haotian Liu (3)

Keywords

optimal transport (11) hawkes process (5) temporal point process (5) point process (5) graph matching (4) event sequence (3) gromov-wasserstein distance (3) multi-modal learning (3) graph neural network (3) node embedding (3) representation learning (2) latent space (2) variational autoencoder (2) maximum likelihood estimation (2) generative model (2) video generation (2) wasserstein distance (2) manifold learning (2) convex optimization (2) privacy preservation (2)

Papers

ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization AAAI 2026
Towards Effective Code-Integrated Reasoning AAAI 2026
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction ICML 2025
Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency IJCAI 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 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
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
Animate and Sound an Image CVPR 2025
Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency CVPR 2025
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models ICML 2025
Generalizable Face Landmarking Guided by Conditional Face Warping CVPR 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation NIPS 2024
Inferring Iterated Function Systems Approximately from Fractal Images IJCAI 2024
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation AAAI 2024
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data ICML 2024
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression AAAI 2023
Hierarchical Contrastive Learning for Temporal Point Processes AAAI 2023
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment IJCAI 2023
Group Sparse Optimal Transport for Sparse Process Flexibility Design IJCAI 2023
Uni-Mol: A Universal 3D Molecular Representation Learning Framework ICLR 2023
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction AAAI 2022
Learning Graphons via Structured Gromov-Wasserstein Barycenters AAAI 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021
A Hypergradient Approach to Robust Regression without Correspondence ICLR 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
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NIPS 2019
Topic-Guided Variational Auto-Encoder for Text Generation NAACL 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding ICML 2019
Distilled Wasserstein Learning for Word Embedding and Topic Modeling NIPS 2018
Benefits from Superposed Hawkes Processes AISTATS 2018
Quaternion Convolutional Neural Networks ECCV 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
Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation CVPR 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NIPS 2017
Learning Granger Causality for Hawkes Processes ICML 2016
Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage ICCV 2015
A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015
Trailer Generation via a Point Process-Based Visual Attractiveness Model IJCAI 2015
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences IJCAI 2015
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples CVPR 2014
Manifold Based Face Synthesis from Sparse Samples ICCV 2013