| 2026 | AAAI | Towards Effective Code-Integrated Reasoning. | Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Hongteng Xu |
| 2026 | AAAI | ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization. | Qingmei Wang, Tianyu Huang, Yujie Long, Yuxin Wu, Fanmeng Wang, Xi Sun, Junchi Yan, Hongteng Xu |
| 2026 | WWW | Revisiting and Enhancing Graph Neural Networks through the Lens of Amortized Flows. | Minjie Cheng, Bokai Yan, Dixin Luo, Hongteng Xu |
| 2025 | AAAI | WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization. | Minjie Cheng, Dixin Luo, Hongteng Xu |
| 2025 | AAAI | An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning. | Fengjiao Gong, Angxiao Yue, Hongteng Xu |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Animate and Sound an Image. | Xihua Wang, Ruihua Song, Chongxuan Li, Xin Cheng, Boyuan Li, Yihan Wu, Yuyue Wang, Hongteng Xu, Yunfeng Wang |
| 2025 | CVPR | Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency. | Yutong Wang, Jiajie Teng, Jiajiong Cao, Yuming Li, Chenguang Ma, Hongteng Xu, Dixin Luo |
| 2025 | ICASSP | Unbalanced Co-relational Optimal Transport for Robust Heterogeneous Data Alignment. | Fengjiao Gong, Zichong Wang, Hongteng Xu |
| 2025 | ICML | Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived. | Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei |
| 2025 | ICML | PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models. | Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao |
| 2025 | ICML | WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction. | Fanmeng Wang, Minjie Cheng, Hongteng Xu |
| 2025 | ICML | ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation. | Angxiao Yue, Zichong Wang, Hongteng Xu |
| 2025 | IJCAI | Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency. | Sidan Zhu, Yutong Wang, Hongteng Xu, Dixin Luo |
| 2025 | IJCNN | Meta-optimized Session-based Recommendation with Adaptive Multi-level User Intent Integration. | Zhenchao Wu, Hongteng Xu, Xu Chen |
| 2025 | KDD | Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. | Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu |
| 2025 | MMSP | Meta Learning for Adaptive Disentangled User Preference Integration Toward Multimodal Recommendation. | Zhenchao Wu, Hongteng Xu, Xu Chen |
| 2025 | MMSP | Meta Learning-based Multimodal Recommendation with Adaptive User Modality-Aware Preference Integration. | Zhenchao Wu, Hongteng Xu, Xu Chen |
| 2025 | WWW | USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset. | Shen Yuan, Shukai Gong, Hongteng Xu |
| 2024 | AAAI | A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. | Angxiao Yue, Dixin Luo, Hongteng Xu |
| 2024 | CIKM | Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu |
| 2024 | CIKM | MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction. | Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao |
| 2024 | CVPR | Generalizable Face Landmarking Guided by Conditional Face Warping. | Jiayi Liang, Haotian Liu, Hongteng Xu, Dixin Luo |
| 2024 | ICML | Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. | Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu |
| 2024 | IJCAI | Inferring Iterated Function Systems Approximately from Fractal Images. | Haotian Liu, Dixin Luo, Hongteng Xu |
| 2024 | WWW | A Quasi-Wasserstein Loss for Learning Graph Neural Networks. | Minjie Cheng, Hongteng Xu |
| 2024 | SIGIR | To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. | Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu |
| 2023 | AAAI | Hierarchical Contrastive Learning for Temporal Point Processes. | Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu |
| 2023 | AAAI | Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. | Yue Xiang, Dixin Luo, Hongteng Xu |
| 2023 | CIKM | MPerformer: An SE(3) Transformer-based Molecular Perceptron. | Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang |
| 2023 | CVPR | HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search. | Jiechao Yang, Yong Liu, Hongteng Xu |
| 2023 | ICLR | 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 |
| 2023 | IJCAI | Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. | Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu |
| 2023 | IJCAI | Group Sparse Optimal Transport for Sparse Process Flexibility Design. | Dixin Luo, Tingting Yu, Hongteng Xu |
| 2023 | SDM | Debiased Imitation Learning for Modulated Temporal Point Processes. | Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu |
| 2022 | AAAI | Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. | Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu |
| 2022 | CIKM | MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. | Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu |
| 2022 | CIKM | Gromov-Wasserstein Multi-modal Alignment and Clustering. | Fengjiao Gong, Yuzhou Nie, Hongteng Xu |
| 2022 | ICASSP | Text2Poster: Laying Out Stylized Texts on Retrieved Images. | Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu |
| 2022 | ICDM | Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. | Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu |
| 2022 | SIGIR | Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. | Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen |
| 2021 | AAAI | Learning Graphons via Structured Gromov-Wasserstein Barycenters. | Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha |
| 2021 | ICLR | A Hypergradient Approach to Robust Regression without Correspondence. | Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha |
| 2021 | SIGIR | Counterfactual Data-Augmented Sequential Recommendation. | Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | WACV | Zero-Shot Recognition via Optimal Transport. | Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Gromov-Wasserstein Factorization Models for Graph Clustering. | Hongteng Xu |
| 2020 | CVPR | Quaternion Product Units for Deep Learning on 3D Rotation Groups. | Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu |
| 2020 | ICML | Learning Autoencoders with Relational Regularization. | Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin |
| 2019 | ICIP | Single-Image Rain Removal Via Multi-Scale Cascading Image Generation. | Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu |
| 2019 | ICML | Gromov-Wasserstein Learning for Graph Matching and Node Embedding. | Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin |
| 2019 | KDD | Modeling and Applications for Temporal Point Processes. | Junchi Yan, Hongteng Xu, Liangda Li |
| 2019 | NAACL | Topic-Guided Variational Auto-Encoder for Text Generation. | Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin |
| 2019 | SIGIR | Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. | Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2018 | AAAI | Learning Conditional Generative Models for Temporal Point Processes. | Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha |
| 2018 | AISTATS | Benefits from Superposed Hawkes Processes. | Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin |
| 2018 | ECCV | Quaternion Convolutional Neural Networks. | Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen |
| 2018 | ICASSP | Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer. | Shiyu Ning, Hongteng Xu, Li Song, Rong Xie, Wenjun Zhang |
| 2018 | ICIP | Flexible Network Binarization with Layer-Wise Priority. | He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu |
| 2018 | ICML | Learning Registered Point Processes from Idiosyncratic Observations. | Hongteng Xu, Lawrence Carin, Hongyuan Zha |
| 2018 | IJCAI | Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. | Hongteng Xu, Dixin Luo, Lawrence Carin |
| 2018 | WSDM | Sequential Recommendation with User Memory Networks. | Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2017 | CVPR | Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. | Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha |
| 2017 | ICDE | 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, Wenjun Zhang |
| 2017 | ICDE | Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). | Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha |
| 2017 | ICML | Learning Hawkes Processes from Short Doubly-Censored Event Sequences. | Hongteng Xu, Dixin Luo, Hongyuan Zha |
| 2017 | SIGIR | Personalized Key Frame Recommendation. | Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin |
| 2016 | ICML | Learning Granger Causality for Hawkes Processes. | Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha |
| 2015 | AAAI | Dictionary Learning with Mutually Reinforcing Group-Graph Structures. | Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu |
| 2015 | AAAI | Active Manifold Learning via Gershgorin Circle Guided Sample Selection. | Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport |
| 2015 | ICCV | Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. | Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha |
| 2015 | ICCV | A Matrix Decomposition Perspective to Multiple Graph Matching. | Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu |
| 2015 | IJCAI | Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. | Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang |
| 2015 | IJCAI | Trailer Generation via a Point Process-Based Visual Attractiveness Model. | Hongteng Xu, Yi Zhen, Hongyuan Zha |
| 2014 | CVPR | Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. | Hongteng Xu, Hongyuan Zha, Mark A. Davenport |
| 2013 | ICCV | Manifold Based Face Synthesis from Sparse Samples. | Hongteng Xu, Hongyuan Zha |
| 2013 | PAKDD | World Expo Problem and Its Mixed Integer Programming Based Solution. | Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang |
| 2012 | ICPR | No reference measurement of contrast distortion and optimal contrast enhancement. | Hongteng Xu, Guangtao Zhai, Xiaokang Yang |
| 2011 | MMSP | ECG data compression based on wave atom transform. | Hongteng Xu, Guangtao Zhai |