Xu, Zenglin

72 publications

COLT 2025 A Polynomial-Time Algorithm for Online Sparse Linear Regression with Improved Regret Bound Under Weaker Conditions Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie

ICML 2025 Efficient Network Automatic Relevance Determination Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi

TMLR 2025 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang

AAAI 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo

ICLR 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu

NeurIPS 2025 InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan

ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

AISTATS 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang

NeurIPS 2025 RFMPose: Generative Category-Level Object Pose Estimation via Riemannian Flow Matching Wenzhe Ouyang, Qi Ye, Jinghua Wang, Zenglin Xu, Jiming Chen

IJCAI 2024 A Systematic Survey on Federated Semi-Supervised Learning Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King

AAAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi

IJCAI 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang

AAAI 2024 OctOcc: High-Resolution 3D Occupancy Prediction with Octree Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu

NeurIPS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

AAAI 2024 Preparing Lessons for Progressive Training on Language Models Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

ICML 2024 Sign Is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

MLOSS 2023 FedLab: A Flexible Federated Learning Framework Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu

AISTATS 2023 Generative Oversampling for Imbalanced Data via Majority-Guided VAE Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu

ICCV 2023 MHCN: A Hyperbolic Neural Network Model for Multi-View Hierarchical Clustering Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu

UAI 2023 Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

NeurIPS 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks Under Heterophily Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King

IJCAI 2023 Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration for Video Captioning Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

NeurIPS 2023 Reusing Pretrained Models by Multi-Linear Operators for Efficient Training Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

IJCAI 2023 SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

AAAI 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He

ICML 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Yu Pan, Zeyong Su, Ao Liu, Wang Jingquan, Nannan Li, Zenglin Xu

NeurIPS 2022 Alleviating the Sample Selection Bias in Few-Shot Learning by Removing Projection to the Centroid Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

ICML 2022 Channel Importance Matters in Few-Shot Image Classification Xu Luo, Jing Xu, Zenglin Xu

IJCAI 2022 Contrastive Multi-View Hyperbolic Hierarchical Clustering Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu

AAAI 2022 Multi-View Clustering on Topological Manifold Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu

NeurIPS 2022 Multi-View Subspace Clustering on Topological Manifold Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv

MLJ 2022 Multiple Partitions Alignment via Spectral Rotation Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

MLJ 2022 Re-Thinking Model Robustness from Stability: A New Insight to Defend Adversarial Examples Shufei Zhang, Kaizhu Huang, Zenglin Xu

NeurIPS 2021 ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu

NeurIPS 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

AAAI 2020 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu

AAAI 2020 Large-Scale Multi-View Subspace Clustering in Linear Time Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu

ICLR 2020 Mutual Information Gradient Estimation for Representation Learning Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu

ECCV 2020 Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu

AAAI 2019 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

IJCAI 2019 Multiple Partitions Aligned Clustering Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu

AAAI 2019 Similarity Learning via Kernel Preserving Embedding Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu

AAAI 2018 Learning with Incomplete Labels Yingming Li, Zenglin Xu, Zhongfei Zhang

IJCAI 2018 Self-Weighted Multiple Kernel Learning for Graph-Based Clustering and Semi-Supervised Classification Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu

IJCAI 2018 Structured Inference for Recurrent Hidden Semi-Markov Model Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu

AAAI 2018 Unified Spectral Clustering with Optimal Graph Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu

AAAI 2017 Learning with Feature Network and Label Network Simultaneously Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

IJCAI 2017 Robust SoftMax Regression for Multi-Class Classification with Self-Paced Learning Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu

JAIR 2016 Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu

AAAI 2016 DinTucker: Scaling up Gaussian Process Models on Large Multidimensional Arrays Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari

NeurIPS 2016 Distributed Flexible Nonlinear Tensor Factorization Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani

ACML 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-Relational Social Network Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li

AAAI 2016 Learning with Marginalized Corrupted Features and Labels Together Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

IJCAI 2016 Multi-View Learning with Limited and Noisy Tagging Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

AAAI 2015 Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu

AISTATS 2015 Scalable Nonparametric Multiway Data Analysis Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park

AAAI 2015 Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu

NeurIPS 2013 Exact and Stable Recovery of Pairwise Interaction Tensors Shouyuan Chen, Michael R Lyu, Irwin King, Zenglin Xu

ICML 2012 Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis Zenglin Xu, Feng Yan, Yuan (Alan) Qi

UAI 2011 Sparse Matrix-Variate Gaussian Process Blockmodels for Network Modeling Feng Yan, Zenglin Xu, Yuan (Alan) Qi

AAAI 2011 Sparse Matrix-Variate T Process Blockmodels Zenglin Xu, Feng Yan, Yuan (Alan) Qi

ICML 2010 Online Learning for Group Lasso Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu

UAI 2010 Robust Metric Learning by Smooth Optimization Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu

ICML 2010 Simple and Efficient Multiple Kernel Learning by Group Lasso Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu

AAAI 2010 Smooth Optimization for Effective Multiple Kernel Learning Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King

NeurIPS 2009 Adaptive Regularization for Transductive Support Vector Machine Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang

IJCAI 2009 Discriminative Semi-Supervised Feature Selection via Manifold Regularization Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King

NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja

ICML 2009 Non-Monotonic Feature Selection Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King

ECCV 2008 An Effective Approach to 3D Deformable Surface Tracking Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu

NeurIPS 2008 An Extended Level Method for Efficient Multiple Kernel Learning Zenglin Xu, Rong Jin, Irwin King, Michael Lyu

NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu