ECG data compression based on wave atom transform. - Hongteng Xu; Guangtao Zhai (MMSP, 2011)

Robust single image super-resolution based on gradient enhancement. - Licheng Yu; Hongteng Xu; Yi Xu 001; Xiaokang Yang 001 (APSIPA, 2012)

No reference measurement of contrast distortion and optimal contrast enhancement. - Hongteng Xu; Guangtao Zhai; Xiaokang Yang 001 (ICPR, 2012)

Automatic Movie Restoration Based on Wave Atom Transform and Nonparametric Model. - Hongteng Xu; Guangtao Zhai; Li Chen 021; Xiaokang Yang 001 (EURASIP J. Adv. Signal Process., 2012)

Manifold Based Face Synthesis from Sparse Samples. - Hongteng Xu; Hongyuan Zha (ICCV, 2013)

Self-example based super-resolution with fractal-based gradient enhancement. - Licheng Yu; Yi Xu 001; Hongteng Xu; Xiaokang Yang 001 (ICME Workshops, 2013)

Quaternion-based sparse representation of color image. - Licheng Yu; Yi Xu 001; Hongteng Xu; Hao Zhang (ICME, 2013)

World Expo Problem and Its Mixed Integer Programming Based Solution. - Hongteng Xu; Dixin Luo; Xiaoming Huo; Xiaokang Yang 001 (BSI@PAKDD/BSIC@IJCAI, 2013)

Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient. - Hongteng Xu; Guangtao Zhai; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2013)

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

You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data. - Dixin Luo; Hongteng Xu; Hongyuan Zha; Jun Du; Rong Xie; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Broadcast., 2014)

Generalized Equalization Model for Image Enhancement. - Hongteng Xu; Guangtao Zhai; Xiaolin Wu 001; Xiaokang Yang 001 (IEEE Trans. Multim., 2014)

Dictionary Learning with Mutually Reinforcing Group-Graph Structures. - Hongteng Xu; Licheng Yu; Dixin Luo; Hongyuan Zha; Yi Xu 001 (AAAI, 2015)

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

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. - Hongteng Xu; Yang Zhou; Weiyao Lin; Hongyuan Zha (ICCV, 2015)

A Matrix Decomposition Perspective to Multiple Graph Matching. - Junchi Yan; Hongteng Xu; Hongyuan Zha; Xiaokang Yang 001; Huanxi Liu; Stephen M. Chu (ICCV, 2015)

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. - Dixin Luo; Hongteng Xu; Yi Zhen; Xia Ning; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (IJCAI, 2015)

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

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis. - Yi Xu 001; Licheng Yu; Hongteng Xu; Hao Zhang; Truong Nguyen 001 (IEEE Trans. Image Process., 2015)

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events. - Hongteng Xu; Xia Ning; Hui Zhang 002; Junghwan Rhee; Guofei Jiang (ICAC, 2016)

Learning Granger Causality for Hawkes Processes. - Hongteng Xu; Mehrdad Farajtabar; Hongyuan Zha (ICML, 2016)

A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Zicheng Liu 001 (CoRR, 2016)

ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (CoRR, 2016)

A Fractal-based CNN for Detecting Complicated Curves in AFM Images. - Hongteng Xu; Junchi Yan; Nils Persson; Hongyuan Zha (CoRR, 2016)

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Knowl. Data Eng., 2016)

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

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (ICDE, 2017)

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (ICDE, 2017)

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

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. - Hongteng Xu; Hongyuan Zha (NIPS, 2017)

Personalized Key Frame Recommendation. - Xu Chen 017; Yongfeng Zhang; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin 003 (SIGIR, 2017)

THAP: A Matlab Toolkit for Learning with Hawkes Processes. - Hongteng Xu; Hongyuan Zha (CoRR, 2017)

Active manifold learning via a unified framework for manifold landmarking. - Hongteng Xu; Licheng Yu; Mark A. Davenport; Hongyuan Zha (CoRR, 2017)

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu 001; Jianxin Wu 001; Zicheng Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2017)

Point process-based modeling and analysis of asynchronous event sequences. - Hongteng Xu (2017)

Learning Conditional Generative Models for Temporal Point Processes. - Shuai Xiao 002; Hongteng Xu; Junchi Yan; Mehrdad Farajtabar; Xiaokang Yang 001; Le Song; Hongyuan Zha (AAAI, 2018)

Benefits from Superposed Hawkes Processes. - Hongteng Xu; Dixin Luo; Xu Chen 017; Lawrence Carin (AISTATS, 2018)

Quaternion Convolutional Neural Networks. - Xuanyu Zhu; Yi Xu 001; Hongteng Xu; Changjian Chen (ECCV (8), 2018)

Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer. - Shiyu Ning; Hongteng Xu; Li Song 001; Rong Xie; Wenjun Zhang 001 (ICASSP, 2018)

Flexible Network Binarization with Layer-Wise Priority. - He Wang; Yi Xu 001; Bingbing Ni; Lixue Zhuang; Hongteng Xu (ICIP, 2018)

Learning Registered Point Processes from Idiosyncratic Observations. - Hongteng Xu; Lawrence Carin; Hongyuan Zha (ICML, 2018)

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

Distilled Wasserstein Learning for Word Embedding and Topic Modeling. - Hongteng Xu; Wenlin Wang; Wei Liu 005; Lawrence Carin (NeurIPS, 2018)

Sequential Recommendation with User Memory Networks. - Xu Chen 017; Hongteng Xu; Yongfeng Zhang; Jiaxi Tang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (WSDM, 2018)

Visually Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang; Hongteng Xu; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (CoRR, 2018)

PoPPy: A Point Process Toolbox Based on PyTorch. - Hongteng Xu (CoRR, 2018)

A Unified Framework for Manifold Landmarking. - Hongteng Xu; Licheng Yu; Mark A. Davenport; Hongyuan Zha (IEEE Trans. Signal Process., 2018)

Single-Image Rain Removal Via Multi-Scale Cascading Image Generation. - Zheng Zhang; Yi Xu 001; He Wang; Bingbing Ni; Hongteng Xu (ICIP, 2019)

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

Modeling and Applications for Temporal Point Processes. - Junchi Yan; Hongteng Xu; Liangda Li (KDD, 2019)

Topic-Guided Variational Auto-Encoder for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (NAACL-HLT (1), 2019)

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

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. - Xu Chen 017; Hanxiong Chen; Hongteng Xu; Yongfeng Zhang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (SIGIR, 2019)

Topic-Guided Variational Autoencoders for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (CoRR, 2019)

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

Fused Gromov-Wasserstein Alignment for Hawkes Processes. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

An Optimal Transport Framework for Zero-Shot Learning. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Collaborative Filtering with A Synthetic Feedback Loop. - Wenlin Wang; Hongteng Xu; Ruiyi Zhang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Adversarial Distillation for Efficient Recommendation with External Knowledge. - Xu Chen 017; Yongfeng Zhang; Hongteng Xu; Zheng Qin 003; Hongyuan Zha (ACM Trans. Inf. Syst., 2019)

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - Wenlin Wang; Hongteng Xu; Zhe Gan; Bai Li 001; Guoyin Wang 002; Liqun Chen 001; Qian Yang 003; Wenqi Wang 001; Lawrence Carin (AAAI, 2020)

Gromov-Wasserstein Factorization Models for Graph Clustering. - Hongteng Xu (AAAI, 2020)

Quaternion Product Units for Deep Learning on 3D Rotation Groups. - Xuan Zhang; Shaofei Qin; Yi Xu 001; Hongteng Xu (CVPR, 2020)

Learning Autoencoders with Relational Regularization. - Hongteng Xu; Dixin Luo; Ricardo Henao; Svati Shah; Lawrence Carin (ICML, 2020)

Hierarchical Optimal Transport for Robust Multi-View Learning. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2020)

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

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. - David Dov; Serge Assaad; Shijing Si; Rui Wang 088; Hongteng Xu; Shahar Ziv Kovalsky; Jonathan Bell; Danielle Elliott Range; Jonathan Cohen 004; Ricardo Henao; Lawrence Carin (CHIL, 2021)

Self-organized Hawkes Processes. - Shen Yuan; Hongteng Xu (CICAI (2), 2021)

A Hypergradient Approach to Robust Regression without Correspondence. - Yujia Xie; Yixiu Mao; Simiao Zuo; Hongteng Xu; Xiaojing Ye; Tuo Zhao; Hongyuan Zha (ICLR, 2021)

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

Counterfactual Data-Augmented Sequential Recommendation. - Zhenlei Wang; Jingsen Zhang; Hongteng Xu; Xu Chen 017; Yongfeng Zhang; Wayne Xin Zhao; Ji-Rong Wen (SIGIR, 2021)

Zero-Shot Recognition via Optimal Transport. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (WACV, 2021)

Hawkes Processes on Graphons. - Hongteng Xu; Dixin Luo; Hongyuan Zha (CoRR, 2021)

Learning Graphon Autoencoders for Generative Graph Modeling. - Hongteng Xu; Peilin Zhao; Junzhou Huang; Dixin Luo (CoRR, 2021)

Recaptured Screen Image Demoiréing. - Huanjing Yue; Yan Mao; Lipu Liang; Hongteng Xu; Chunping Hou; Jingyu Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. - Tiancheng Lin 001; Hongteng Xu; Canqian Yang; Yi Xu 001 (AAAI, 2022)

Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection. - Yuzhou Nie; Chengyue Huang; Hailun Liang; Hongteng Xu (CICAI (2), 2022)

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. - Jinjia Feng; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei; Hongteng Xu (CIKM, 2022)

Gromov-Wasserstein Multi-modal Alignment and Clustering. - Fengjiao Gong; Yuzhou Nie; Hongteng Xu (CIKM, 2022)

Text2Poster: Laying Out Stylized Texts on Retrieved Images. - Chuhao Jin; Hongteng Xu; Ruihua Song; Zhiwu Lu 001 (ICASSP, 2022)

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. - Yang Zhang 094; Gengmo Zhou; Zhewei Wei; Hongteng Xu (ICDM, 2022)

Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance. - Dixin Luo; Yutong Wang; Angxiao Yue; Hongteng Xu (ACM Multimedia, 2022)

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. - Weijie Yu 003; Zhongxiang Sun; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (SIGIR, 2022)

Revisiting Pooling through the Lens of Optimal Transport. - Minjie Cheng; Hongteng Xu (CoRR, 2022)

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. - Lanqing Li; Liang Zeng 002; Ziqi Gao; Shen Yuan; Yatao Bian; Bingzhe Wu; Hengtong Zhang; Chan Lu; Yang Yu 010; Wei Liu 005; Hongteng Xu; Jia Li 009; et al. (CoRR, 2022)

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 (AAAI, 2023)

MPerformer: An SE(3) Transformer-based Molecular Perceptron. - Fanmeng Wang; Hongteng Xu; Xi Chen; Shuqi Lu; Yuqing Deng; Wenbing Huang 001 (CIKM, 2023)

HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search. - Jiechao Yang; Yong Liu 018; Hongteng Xu (CVPR, 2023)

Uni-Mol: A Universal 3D Molecular Representation Learning Framework. - Gengmo Zhou; Zhifeng Gao; Qiankun Ding; Hang Zheng; Hongteng Xu; Zhewei Wei; Linfeng Zhang 002; Guolin Ke (ICLR, 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 (IJCAI, 2023)

Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport. - Yutong Wang; Hongteng Xu; Dixin Luo (ACM Multimedia, 2023)

Debiased Imitation Learning for Modulated Temporal Point Processes. - Zhuoqun Li 001; Zihan Zhou 003; Mingxuan Sun; Hongteng Xu (SDM, 2023)

Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison. - Xiangfeng Wang; Hongteng Xu; Moyi Yang (CoRR, 2023)

DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework. - Haoran Cheng; Dixin Luo; Hongteng Xu (CoRR, 2023)

Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks. - Shen Yuan; Hongteng Xu (CoRR, 2023)

Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification. - Mengyu Li; Jun Yu; Hongteng Xu; Cheng Meng (J. Comput. Graph. Stat., 2023)

Representing Graphs via Gromov-Wasserstein Factorization. - Hongteng Xu; Jiachang Liu 001; Dixin Luo; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fast Quaternion Product Units for Learning Disentangled Representations in $ mathbb {SO}(3)$. - Shaofei Qin; Xuan Zhang; Hongteng Xu; Yi Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. - Junchi Yan; Hongteng Xu; Liangda Li; Mehrdad Farajtabar; Xiaokang Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. - Dixin Luo; Hongteng Xu; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Data Augmented Sequential Recommendation Based on Counterfactual Thinking. - Xu Chen 017; Zhenlei Wang; Hongteng Xu; Jingsen Zhang; Yongfeng Zhang; Wayne Xin Zhao; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2023)

Regularized Optimal Transport Layers for Generalized Global Pooling Operations. - Hongteng Xu; Minjie Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. - Jinjia Feng; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding; Hongteng Xu (CIKM, 2024)

MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction. - Fanmeng Wang; Wentao Guo; Minjie Cheng; Shen Yuan; Hongteng Xu; Zhifeng Gao (CIKM, 2024)

Generalizable Face Landmarking Guided by Conditional Face Warping. - Jiayi Liang; Haotian Liu; Hongteng Xu; Dixin Luo (CVPR, 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 001 (ICML, 2024)

Inferring Iterated Function Systems Approximately from Fractal Images. - Haotian Liu; Dixin Luo; Hongteng Xu (IJCAI, 2024)

TiVA: Time-Aligned Video-to-Audio Generation. - Xihua Wang; Yuyue Wang 003; Yihan Wu; Ruihua Song; Xu Tan 003; Zehua Chen; Hongteng Xu; Guodong Sui (ACM Multimedia, 2024)

An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation. - Yutong Wang; Sidan Zhu; Hongteng Xu; Dixin Luo (ACM Multimedia, 2024)

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation. - Shen Yuan; Haotian Liu; Hongteng Xu (NeurIPS, 2024)

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. - Zhongxiang Sun; Zihua Si; Xiao Zhang 034; Xiaoxue Zang; Yang Song 008; Hongteng Xu; Jun Xu 001 (SIGIR, 2024)

A Quasi-Wasserstein Loss for Learning Graph Neural Networks. - Minjie Cheng; Hongteng Xu (WWW, 2024)

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (CoRR, 2024)

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. - Hao Yang; Zexu Sun; Hongteng Xu; Xu Chen 017 (CoRR, 2024)

Predicting Polymer Properties Based on Multimodal Multitask Pretraining. - Fanmeng Wang; Wentao Guo; Minjie Cheng; Shen Yuan; Hongteng Xu; Zhifeng Gao (CoRR, 2024)

An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation. - Yutong Wang; Sidan Zhu; Hongteng Xu; Dixin Luo (CoRR, 2024)

Predicting Molecular Ground-State Conformation via Conformation Optimization. - Fanmeng Wang; Minjie Cheng; Hongteng Xu (CoRR, 2024)

Towards Better Multi-head Attention via Channel-wise Sample Permutation. - Shen Yuan; Hongteng Xu (CoRR, 2024)

Hilbert Curve Projection Distance for Distribution Comparison. - Tao Li 041; Cheng Meng; Hongteng Xu; Jun Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Explainable Legal Case Matching via Graph Optimal Transport. - Zhongxiang Sun; Weijie Yu 003; Zihua Si; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization. - Minjie Cheng; Dixin Luo; Hongteng Xu (AAAI, 2025)

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning. - Fengjiao Gong; Angxiao Yue; Hongteng Xu (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)

Animate and Sound an Image. - Xihua Wang; Ruihua Song; Chongxuan Li; Xin Cheng 008; Boyuan Li; Yihan Wu; Yuyue Wang 003; 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 (CVPR, 2025)

Unbalanced Co-relational Optimal Transport for Robust Heterogeneous Data Alignment. - Fengjiao Gong; Zichong Wang; Hongteng Xu (ICASSP, 2025)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. - Yuan Mi; Pu Ren; Hongteng Xu; Hongsheng Liu 002; Zidong Wang 010; Yike Guo; Ji-Rong Wen; Hao Sun 002; Yang Liu 005 (KDD (1), 2025)

USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset. - Shen Yuan; Shukai Gong; Hongteng Xu (WWW (Companion Volume), 2025)

A Bayesian Mixture Model of Temporal Point Processes With Determinantal Point Process Prior. - Yiwei Dong; Shaoxin Ye; Qiyu Han; Yuwen Cao; Hongteng Xu; Hanfang Yang (IEEE Trans. Signal Process., 2025)

Assisting Mathematical Formalization with A Learning-based Premise Retriever. - Yicheng Tao 003; Haotian Liu; Shanwen Wang; Hongteng Xu (CoRR, 2025)

ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation. - Angxiao Yue; Zichong Wang; Hongteng Xu (CoRR, 2025)

Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization. - Qingmei Wang; Fanmeng Wang; Bing Su; Hongteng Xu (CoRR, 2025)

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models. - Fanmeng Wang; Wentao Guo; Qi Ou; Hongshuai Wang; Haitao Lin; Hongteng Xu; Zhifeng Gao (CoRR, 2025)

MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation. - Shen Yuan; Yin Zheng; Taifeng Wang; Binbin Liu; Hongteng Xu (CoRR, 2025)

A survey of geometric graph neural networks: data structures, models and applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (Frontiers Comput. Sci., 2025)