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Zenglin Xu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

148

Venues

39

Active years

2004–2026

Best venue rank

A*

Where they publish

Papers

148 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRenormalization Group Guided Tensor Network Structure Search.Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026ACLEnd-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning.Guanzhong Chen, Shaoxiong Yang, Chao Li, Wei Liu, Jian Luan, Zenglin Xu
2026ACLCoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning.Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng, Lizhen Qu, Zenglin Xu
2026WWWFL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web.Irwin King, Guodong Long, Zenglin Xu, Han Yu, Xiaoli Tang, Liping Yi
2026WWWGRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms.Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu
2025AAAIGeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping.Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2025ACLCENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025AISTATSOn the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond.Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2025COLTA Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions.Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
2025EMNLPFrom Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs.Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Zhucong Li, Zhijian Zhou, Song Wang, Zenglin Xu
2025EMNLPFinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making.Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Danny Dongning Sun, Zhang Chi, Zenglin Xu
2025EMNLPPosition: LLMs Can be Good Tutors in English Education.Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025ICLRIDInit: A Universal and Stable Initialization Method for Neural Network Training.Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025ICMLMitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
2025ICMLEfficient Network Automatic Relevance Determination.Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
2025IJCNLPSimple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models.Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Jinghua Wang, Qifan Wang, Lizhen Qu, Zenglin Xu
2025IJCNLPItem-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning.Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang
2025IJCNNMTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.Zhe Li, Xuanxuan Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2025IJCNNMulti-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data.Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu
2025IJCNNPD-Vitamin: Uncertainty-driven Preliminary Dosage of Reinforcement Learning Gradients for Online Fine-Tuning of Decision Transformers.Shujiong Tang, Zenglin Xu
2025KDDFindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025WWWFL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025.Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu
2025SIGIRPreference-Strength-Aware Self-Improving Alignment with Generative Preference Models.Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang
2024AAAIPreparing 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
2024AAAIDiscriminative 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
2024AAAIOctOcc: High-Resolution 3D Occupancy Prediction with Octree.Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu
2024ACLSecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024ACLXMoE: Sparse Models with Fine-grained and Adaptive Expert Selection.Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu
2024CCSUnveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack.Guanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu
2024COLINGRevisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
2024EMNLPM²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
2024EMNLPEAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024EMNLPOn Diversified Preferences of Large Language Model Alignment.Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
2024ICMLSign 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
2024ICONIPCombining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning.Shujiong Tang, Irwin King, Zenglin Xu
2024IJCAIMeta-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
2024IJCAIA Systematic Survey on Federated Semi-supervised Learning.Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King
2024IJCNNFederated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study.Hongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu
2024NAACLFedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2024WWWFedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2024WWWFL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.Irwin King, Guodong Long, Zenglin Xu, Han Yu
2024SDMTensorized Hypergraph Neural Networks.Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023AAAISelf-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
2023ACLMUSTIE: Multimodal Structural Transformer for Web Information Extraction.Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023ACLMixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023ACLFEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu
2023ACLFedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
2023AISTATSGenerative Oversampling for Imbalanced Data via Majority-Guided VAE.Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023EACLViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu
2023EMNLPAPrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023EMNLPOnce is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu
2023ICASSPMulti-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2023ICCVMHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu
2023ICDMFederated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023ICONIPQuantized SGD in Federated Learning: Communication, Optimization and Generalization.Shiyu Liu, Linsen Wei, Shaogao Lv, Zenglin Xu
2023ICONIPGeneralized Category Discovery with Clustering Assignment Consistency.Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
2023ICONIPContrastive Kernel Subspace Clustering.Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu
2023IJCAISMARTformer: 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
2023IJCAIPrompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
2023IJCNNFlexible Contribution Estimation Methods for Horizontal Federated Learning.Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
2023WWW1st Workshop on Federated Learning Technologies.Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
2023WWWA Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023UAIPractical privacy-preserving Gaussian process regression via secret sharing.Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2022AAAIMulti-View Clustering on Topological Manifold.Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2022DASFAAHeterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu
2022EMNLPLeveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu
2022EMNLPLearning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022EMNLPSMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022EMNLPFederated Model Decomposition with Private Vocabulary for Text Classification.Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu
2022ICASSPSemantically Proportional Patchmix for Few-Shot Learning.Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
2022ICDEField-aware Variational Autoencoders for Billion-scale User Representation Learning.Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong
2022ICMLA Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
2022ICMLChannel Importance Matters in Few-Shot Image Classification.Xu Luo, Jing Xu, Zenglin Xu
2022IJCAIContrastive Multi-view Hyperbolic Hierarchical Clustering.Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu
2022IJCNNACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise.Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu
2021IJCNNDiscrete Auto-regressive Variational Attention Models for Text Modeling.Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
2021IJCNNAngular Triplet Loss-based Camera Network for ReID.Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu
2020AAAIAdversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis.Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu
2020AAAILarge-Scale Multi-View Subspace Clustering in Linear Time.Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
2020ECCVSelf-Paced Deep Regression Forests with Consideration on Underrepresented Examples.Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu
2020ICLRMutual Information Gradient Estimation for Representation Learning.Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020ICONIPCausal Inference for Mixed-Type Data in Additive Noise Models.Xin Liu, Zenglin Xu, Ping Guo
2020ICONIPConcatenated Tensor Networks for Deep Multi-Task Learning.Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu
2020IJCNNLearning to Search Efficient DenseNet with Layer-wise Pruning.Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu
2020LRECSiNER: A Large Dataset for Sindhi Named Entity Recognition.Wazir Ali, Junyu Lu, Zenglin Xu
2020SIGIRMulti-Level Multimodal Transformer Network for Multimodal Recipe Comprehension.Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu
2020SIGIRImproving Contextual Language Models for Response Retrieval in Multi-Turn Conversation.Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu
2020SIGIRRead, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process.Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu
2019AAAISimilarity Learning via Kernel Preserving Embedding.Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
2019AAAICompressing Recurrent Neural Networks with Tensor Ring for Action Recognition.Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2019ACLConstructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection.Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu
2019APWEBCoherence and Salience-Based Multi-Document Relationship Mining.Yongpan Sheng, Zenglin Xu
2019CIKMMachine Reading Comprehension: Matching and Orders.Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu
2019CVPRAdditive Adversarial Learning for Unbiased Authentication.Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019ICDMA Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation.Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu
2019ICDMDeep Minimax Probability Machine.Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019ICIPAdversarial Noise Layer: Regularize Neural Network by Adding Noise.Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang
2019IJCAIMultiple Partitions Aligned Clustering.Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019IJCNNTensor Ring Restricted Boltzmann Machines.Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu
2018AAAIUnified Spectral Clustering With Optimal Graph.Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2018AAAILearning With Incomplete Labels.Yingming Li, Zenglin Xu, Zhongfei Zhang
2018CIKMNeural Relational Topic Models for Scientific Article Analysis.Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu
2018CVPRLearning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
2018ICONIPSelf-Paced Multi-Task Multi-View Capped-norm Clustering.Yazhou Ren, Xin Yan, Zechuan Hu, Zenglin Xu
2018ICONIPAssociation Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis.Shangchen Zhou, Shuai Yuan, Zhizhuo Zhang, Zenglin Xu
2018IJCAISelf-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018IJCAIStructured Inference for Recurrent Hidden Semi-markov Model.Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
2018PPoPPSuperneurons: dynamic GPU memory management for training deep neural networks.Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018PRICAISemi-supervised DenPeak Clustering with Pairwise Constraints.Yazhou Ren, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, Zenglin Xu
2017AAAILearning with Feature Network and Label Network Simultaneously.Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2017ICONIPRegularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu
2017IJCAIRobust Softmax Regression for Multi-class Classification with Self-Paced Learning.Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu
2017IJCNNNonnegative matrix factorization with adaptive neighbors.Shudong Huang, Zenglin Xu, Fei Wang
2017IJCNNLearning from semantically dependent multi-tasks.Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe
2017IJCNNSimple and efficient parallelization for probabilistic temporal tensor factorization.Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
2017IJCNNBalanced self-paced learning with feature corruption.Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao
2017IJCNNLink prediction by exploiting network formation games in exchangeable graphs.Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu
2016AAAILearning with Marginalized Corrupted Features and Labels Together.Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2016AAAIDinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari
2016ACMLHierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li
2016IJCAIMulti-View Learning with Limited and Noisy Tagging.Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2016ICSBLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing.Linnan Wang, Wei Wu, Zenglin Xu, Jianxiong Xiao, Yi Yang
2016MMMConsensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval.Hong Wu, Xing Heng, Zenglin Xu
2015AAAINystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu
2015AAAISparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2015AISTATSScalable Nonparametric Multiway Data Analysis.Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park
2015ESORICSLearning from Others: User Anomaly Detection Using Anomalous Samples from Other Users.Youngja Park, Ian M. Molloy, Suresh N. Chari, Zenglin Xu, Christopher S. Gates, Ninghui Li
2014ESORICSDetecting Insider Information Theft Using Features from File Access Logs.Christopher S. Gates, Ninghui Li, Zenglin Xu, Suresh N. Chari, Ian M. Molloy, Youngja Park
2014ICIPKernel tapering: A simple and effective approach to sparse kernels for image processing.Bin Shen, Zenglin Xu, Jan P. Allebach
2014ICONIPNon-monotonic Feature Selection for Regression.Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2014PSBJoint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2012ICMLInfinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011AAAISparse Matrix-Variate t Process Blockmodels.Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011UAISparse matrix-variate Gaussian process blockmodels for network modeling.Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2010AAAISmooth Optimization for Effective Multiple Kernel Learning.Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King
2010ICMLSimple and Efficient Multiple Kernel Learning by Group Lasso.Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
2010ICMLOnline Learning for Group Lasso.Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2010UAIRobust Metric Learning by Smooth Optimization.Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu
2009ICMLNon-monotonic feature selection.Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King
2009IJCAIDiscriminative Semi-Supervised Feature Selection via Manifold Regularization.Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King
2009IJCNNSupervised Self-taught Learning: Actively transferring knowledge from unlabeled data.Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
2008CIKMSemi-supervised text categorization by active search.Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King
2008ECCVAn Effective Approach to 3D Deformable Surface Tracking.Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu
2008ICDMSemi-supervised Learning from General Unlabeled Data.Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu
2007ICONIPKernel Maximum a Posteriori Classification with Error Bound Analysis.Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu
2007IJCNNMaximum Margin based Semi-supervised Spectral Kernel Learning.Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
2007WWWWeb page classification with heterogeneous data fusion.Zenglin Xu, Irwin King, Michael R. Lyu
2004CISFeature Selection with Particle Swarms.Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He