Xiaofei He

发表

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

Xuelong Li, Jieping Ye, Yao Hu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Dissertation Submitted to Zhejiang University in partial fulfillment of the requirements for the degree of Master of Engineering TITLE Manifold Learning on Probabilistic Graphical Models

Xiaofei He, H. Bao, Yuanlong Shao, 2010 .

Orthogonal Laplacianfaces for Face Recognition

Jiawei Han, Deng Cai, Xiaofei He, 2006, IEEE Transactions on Image Processing.

Graph Regularized Nonnegative Matrix Factorization for Data Representation.

Thomas S. Huang, Xiaofei He, Jiawei Han, 2011, IEEE transactions on pattern analysis and machine intelligence.

Learning a Spatially Smooth Subspace for Face Recognition

Yuxiao Hu, Jiawei Han, Thomas S. Huang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Locality pursuit embedding

Ke Lu, Xiaofei He, Wanli Min, 2004, Pattern Recognition.

Bayesian shape localization for face recognition using global and local textures

Yuxiao Hu, Shuicheng Yan, Mingjing Li, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

Locality preserving clustering for image database

Wei-Ying Ma, Xin Zheng, Xueyin Lin, 2004, MULTIMEDIA '04.

Support Tensor Machines for Text Categorization ∗

Wei-Ying Ma, Xiaofei He, Jiawei Han, 2006 .

Expert Finding for Question Answering via Graph Regularized Matrix Completion

Wilfred Ng, Xiaofei He, Zhou Zhao, 2015, IEEE Transactions on Knowledge and Data Engineering.

Robust non-negative matrix factorization

Xiaofei He, Lijun Zhang, Miao Zheng, 2011 .

A unified active and semi-supervised learning framework for image compression

Xiaofei He, H. Bao, Ming Ji, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-task Vector Field Learning

Jieping Ye, Xiaofei He, Sen Yang, 2012, NIPS.

Unsupervised feature selection for multi-cluster data

Deng Cai, Xiaofei He, Chiyuan Zhang, 2010, KDD.

Efficient Kernel Discriminant Analysis via Spectral Regression

Jiawei Han, Deng Cai, Xiaofei He, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

A-Optimal Projection for Image Representation

Xuelong Li, Xiaofei He, Lijun Zhang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization

Hujun Bao, Xiaofei He, Ming Ji, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Compression by Learning to Minimize the Total Error

Xiaofei He, Chiyuan Zhang, Chiyuan Zhang, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Using Graph Model for Face Analysis

Xiaofei He, Jiawei Han, Deng Cai, 2005 .

Parallel vector field embedding

Xiaofei He, Ming Ji, Chiyuan Zhang, 2013, J. Mach. Learn. Res..

Face recognition using Laplacianfaces

Yuxiao Hu, Shuicheng Yan, Xiaofei He, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension pdf

Deng Cai, Xiaofei He, Zhou Zhao, 2017, ArXiv.

Tensor Subspace Analysis

Deng Cai, Xiaofei He, Partha Niyogi, 2005, NIPS.

Semi-supervised Regression via Parallel Field Regularization

Xiaofei He, Chiyuan Zhang, Binbin Lin, 2011, NIPS.

Locality Preserving Projections (LPP)

P. Niyogi, Xiaofei He, 2002 .

Regularized Locality Preserving Projections with Two-Dimensional Discretized Laplacian Smoothing

Xiaofei He, Jiawei Han, Deng Cai, 2006 .

SPECTRAL ANALYSIS FOR FACE RECOGNITION

Shuicheng Yan, HongJiang Zhang, Xiaofei He, 2003 .

Laplacian Eigenmap for Image Retrieval

Xiaofei He, 2002 .

Block-level link analysis

Wei-Ying Ma, Ji-Rong Wen, Deng Cai, 2004, SIGIR '04.

Active learning via neighborhood reconstruction

Yao Hu, Debing Zhang, Xiaofei He, 2013, IJCAI 2013.

Stability and Bifurcation Analysis in a Class of Two-Neuron Networks with Resonant Bilinear Terms

Xiaofei He, Changjin Xu, Xiaofei He, 2011 .

Bifurcation analysis in a delayed Lokta–Volterra predator–prey model with two delays

Xiaofei He, Xianhua Tang, Changjin Xu, 2011 .

Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning

Xiaofei He, Jun Sun, Xiaohong Wu, 2020, IEEE Access.

Xyloketal derivative c 53 n protects against mild traumatic brain injury in mice

Xiaofei He, Z. Pei, Fengyin Liang, 2018 .

Lyapunov-type inequalities for a class of even-order differential equations

Xiaofei He, Qi-Ming Zhang, Xiaofei He, 2012 .

Intelligence Science and Big Data Engineering. Image and Video Data Engineering

Zhi-Hua Zhou, Xinbo Gao, Xiaofei He, 2015, Lecture Notes in Computer Science.

Positive Solutions of Fractional Differential Inclusions at Resonance

Xiaofei He, Xianhua Tang, Yi Chen, 2013 .

Parallel field ranking

Xiaofei He, Jiawei Han, Binbin Lin, 2013 .

Xiaofei He, J. Rubin, S. Boden, 2022 .

Chronic colitis induces meninges traffic of gut-derived T cells, unbalances M1 and M2 microglia/macrophage and increases ischemic brain injury in mice

Xiaofei He, Z. Pei, Yu-kun Feng, 2019, Brain Research.

Nonlinear Three-Point Boundary Value Problems for First Order Impulsive Integro-Differential Equations of Mixed Type 1

Xiaofei He, Jingli Xie, Guoping Chen, 2009 .

Antidiabetic Activity of Differently Regioselective Chitosan Sulfates in Alloxan-Induced Diabetic Rats

Xiaofei He, Rongfeng Li, Huahua Yu, 2015, Marine drugs.

Vagus Nerve Stimulation Attenuates Cerebral Microinfarct and Colitis-induced Cerebral Microinfarct Aggravation in Mice

Xiaofei He, Z. Pei, Ruxun Huang, 2018, Front. Neurol..

Infinitely Many Homoclinic Orbits for 2th-Order Nonlinear Functional Difference Equations Involving the-Laplacian

Xiaofei He, Xiaofei He, 2012 .

Using rich social media information for music recommendation via hypergraph model

Chun Chen, Jiajun Bu, Xiaofei He, 2011, TOMCCAP.

Inhibitory effect of NF-κB on 1,25-dihydroxyvitamin D3 and retinoid X receptor function

Xiaofei He, M. Schmitz, J. Rubin, 2000 .

Lyapunov-type inequalities and disconjugacy for some nonlinear difference system

Xiaofei He, Xianhua Tang, Qi-Ming Zhang, 2013 .

Increased cortical infarction and neuroinflammation in ischemic stroke mice with experimental periodontitis

Xiaofei He, Z. Pei, Fengyin Liang, 2019, Neuroreport.

Impact of receipt of private well arsenic test results on maternal use of contaminated drinking water in a U.S. population.

Xiaofei He, M. Karagas, Carolyn J. Murray, 2018, The Science of the total environment.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Zhi-Hua Zhou, Xinbo Gao, Xiaofei He, 2015, Lecture Notes in Computer Science.

Revised Selected Papers, Part II, of the 5th International Conference on Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - Volume 9243

Zhi-Hua Zhou, Zhi-Yong Liu, Xinbo Gao, 2015 .

Nonnegative Local Coordinate Factorization for Image Representation

Wei Liu, Deng Cai, Xiaofei He, 2011, IEEE Transactions on Image Processing.

Sparse concept coding for visual analysis

Hujun Bao, Deng Cai, Xiaofei He, 2011, CVPR 2011.

Partial Feature Decorrelation for Non-I.I.D Image classification.

Zhongming Jin, Deng Cai, Zhengxu Yu, 2020 .

Stable Learning via Causality-based Feature Rectification pdf

Jianqiang Huang, Zhongming Jin, Deng Cai, 2020, ArXiv.

Out-of-distribution Generalization via Partial Feature Decorrelation

Xiaofei He, Xin Guo, Jianqiang Huang, 2020, 2007.15241.

Training Linear Discriminant Analysis in Linear Time

Jiawei Han, Deng Cai, Xiaofei He, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Semi-supervised Discriminant Analysis

Jiawei Han, Deng Cai, Xiaofei He, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Orthogonal locality preserving indexing

Deng Cai, Xiaofei He, Xiaofei He, 2005, SIGIR '05.

Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning

Xiaofei He, Xiaofei He, Deng Cai, 2022, Neurocomputing.

Learning and inferring a semantic space from user's relevance feedback for image retrieval

Wei-Ying Ma, Mingjing Li, Xiaofei He, 2002, MULTIMEDIA '02.

Apparel-Invariant Feature Learning for Person Re-Identification

Xiansheng Hua, Xiaofei He, Jianqiang Huang, 2022, IEEE Transactions on Multimedia.

Robust Asymmetric Bayesian Adaptive Matrix Factorization

Deng Cai, Xiaofei He, Xin Guo, 2017, IJCAI.

Robust Principal Component Analysis via Truncated Nuclear

Yao Hu, Xiaofei He, Deng Cai, 2015 .

Matrix completion by Truncated Nuclear Norm Regularization

Xuelong Li, Jieping Ye, Yao Hu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

CoHomo: A cluster-attribute correlation aware graph clustering framework

Hongmin Liu, Ziyu Guan, Yaming Yang, 2020, Neurocomputing.

Community Mining from Multi-relational Networks

Jiawei Han, Deng Cai, Xiaofei He, 2005, PKDD.

Robust Structured Nonnegative Matrix Factorization for Image Representation

Jinhui Tang, Xiaofei He, Zechao Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A geometric viewpoint of manifold learning

Jieping Ye, Xiaofei He, Binbin Lin, 2015, Applied Informatics.

Geodesic Distance Function Learning via Heat Flow on Vector Fields

Jieping Ye, Xiaofei He, Ji Yang, 2014, ICML.

Oriented boundary padding for iterative and oriented fringe pattern denoising techniques

Xiaofei He, Ming Zhao, Qian Kemao, 2014, Signal Process..

Active Learning Based on Locally Linear Reconstruction

Chun Chen, Jiajun Bu, Thomas S. Huang, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spectral Regression: A Unified Approach for Sparse Subspace Learning

Jiawei Han, Deng Cai, Xiaofei He, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Locality Sensitive Discriminant Analysis

Kun Zhou, Hujun Bao, Jiawei Han, 2007, IJCAI.

Neighborhood preserving embedding

Shuicheng Yan, Deng Cai, Xiaofei He, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Locality Preserving Projections

Xiaofei He, Partha Niyogi, P. Niyogi, 2003, NIPS.

X-View: Non-Egocentric Multi-View 3D Object Detector pdf

Guodong Xu, Deng Cai, Xiaofei He, 2021, IEEE Transactions on Image Processing.

Laplacian Score for Feature Selection

Deng Cai, Xiaofei He, Partha Niyogi, 2005, NIPS.

Laplacian Regularized Gaussian Mixture Model for Data Clustering

Hujun Bao, Jiawei Han, Deng Cai, 2011, IEEE Transactions on Knowledge and Data Engineering.

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

Jiawei Han, Deng Cai, Xiaofei He, 2008, IEEE Transactions on Knowledge and Data Engineering.

MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models pdf

Yueting Zhuang, Hao Li, Deng Cai, 2019, NeurIPS.

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

Xiaofei He, Minghao Chen, Binbin Lin, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Dialogue Act Recognition via CRF-Attentive Structured Network

Deng Cai, Xiaofei He, Zhou Zhao, 2017, SIGIR.

Heterogeneous hypergraph embedding for document recommendation

Deng Cai, Xiaofei He, Shulong Tan, 2016, Neurocomputing.

Music recommendation by unified hypergraph: combining social media information and music content

Chun Chen, Jiajun Bu, Hao Wu, 2010, ACM Multimedia.

PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer

Xiaofei He, Haiming Gao, Xiaofei He, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Mining hidden community in heterogeneous social networks

Jiawei Han, Deng Cai, Xiaofei He, 2005, LinkKDD '05.

Interpreting the Public Sentiment Variations on Twitter

Yang Li, Chun Chen, Jiajun Bu, 2014, IEEE Transactions on Knowledge and Data Engineering.

Knowing a tree from the forest: art image retrieval using a society of profiles

Hans-Peter Kriegel, Wei-Ying Ma, Xiaofei He, 2003, MULTIMEDIA '03.

Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning

Xiaofei He, Deng Cai, Liang Xie, 2022, Neurocomputing.

Learning Graph-Level Representation for Drug Discovery pdf

Deng Cai, Xiaofei He, Junying Li, 2017, ArXiv.

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Wei Zhao, Xiaofei He, Ziyu Guan, 2018, KDD.

PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching

Xukun Shen, Xiaofei He, Feihu Zhang, 2015, IEEE Transactions on Image Processing.

Understanding the Power of Clause Learning

Hujun Bao, Jiawei Han, Deng Cai, 2009, IJCAI.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning pdf

Deng Cai, Xiaofei He, Cong Fu, 2019, IJCAI.

Non-negative Matrix Factorization on Manifold

Jiawei Han, Deng Cai, Xiaofei He, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning

Yueting Zhuang, Hanqing Lu, Deng Cai, 2017, AAAI.

Hierarchical clustering of WWW image search results using visual, textual and link information

Wei-Ying Ma, Ji-Rong Wen, Deng Cai, 2004, MULTIMEDIA '04.

Microblog Sentiment Classification via Recurrent Random Walk Network Learning

Yueting Zhuang, Hanqing Lu, Deng Cai, 2017, IJCAI.

Gaussian Mixture Model with Local Consistency

Deng Cai, Xiaofei He, Jialu Liu, 2010, AAAI.

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference

Yueting Zhuang, Deng Cai, Xiaofei He, 2018, ACL.

Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis

Long Chen, Quan Wang, Deng Cai, 2018, IEEE Transactions on Knowledge and Data Engineering.

EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval

Chun Chen, Jiajun Bu, Deng Cai, 2015, IEEE Transactions on Knowledge and Data Engineering.

Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism

Deng Cai, Xiaofei He, Wei Qian, 2018, IJCAI.

Detection of Key Organs in Tomato Based on Deep Migration Learning in a Complex Background

Jun Sun, Xiaofei He, Xiaohong Wu, 2018, Agriculture.

Beet seedling and weed recognition based on convolutional neural network and multi-modality images

Xiaofei He, Yuan Luo, Jun Sun, 2021, Multimedia Tools and Applications.

Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds

Xiaofei He, Minmin Wu, Jun Sun, 2020, Machine Vision and Applications.

MLSLT: Towards Multilingual Sign Language Translation

Xiaofei He, Zhou Zhao, Aoxiong Yin, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SimulSLT: End-to-End Simultaneous Sign Language Translation

Zhou Zhao, Weike Jin, Xingshan Zeng, 2021, ACM Multimedia.

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

Zhou Zhao, Xingshan Zeng, Meng Zhang, 2021, ACM Multimedia.

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Wei Liu, Wenxiao Wang, Deng Cai, 2021, ICLR.

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework

Xiaofei He, Minghao Chen, Deng Cai, 2020, ICML.

CLRNet: Cross Layer Refinement Network for Lane Detection

Xiaofei He, Tu Zheng, Yang Liu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph

Xiaofei He, Xiaopei Wu, Xiaofei He, 2022, ECCV.

PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module pdf

Deng Cai, Zhengxu Yu, Xiaofei He, 2019, AAAI.

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

Xiaofei He, Boxi Wu, Deng Cai, 2022, ICLR.

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer

Wanli Ouyang, Xiaofei He, Minghao Chen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds

Wanli Ouyang, Xiaofei He, Binbin Lin, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OCM3D: Object-Centric Monocular 3D Object Detection pdf

Senbo Yan, Liang Peng, Deng Cai, 2021, ArXiv.

Real-Time Object Tracking on a Drone With Multi-Inertial Sensing Data

Xiaofei He, Peng Chen, Wei Zhu, 2018, IEEE Transactions on Intelligent Transportation Systems.

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment

Xiaofei He, Binbin Lin, Deng Cai, 2023, ArXiv.

Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation

Yao Hu, Xiaofei He, Minghao Chen, 2020 .

Advertising keyword generation using active learning

Chun Chen, Jiajun Bu, Hao Wu, 2009, WWW '09.

Improving Collaborative Recommendation via User-Item Subgroups

Chun Chen, Jiajun Bu, Bin Xu, 2016, IEEE Transactions on Knowledge and Data Engineering.

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning

Deng Cai, Xiaofei He, Yang Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Speed up kernel discriminant analysis

Jiawei Han, Deng Cai, Xiaofei He, 2011, The VLDB Journal.

Locally Consistent Concept Factorization for Document Clustering

Jiawei Han, Deng Cai, Xiaofei He, 2011, IEEE Transactions on Knowledge and Data Engineering.

Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning

Yueting Zhuang, Deng Cai, Xiaofei He, 2018, IJCAI.

SIF: Self-Inspirited Feature Learning for Person Re-Identification

Xian-Sheng Hua, Zhongming Jin, Deng Cai, 2020, IEEE Transactions on Image Processing.

Social-Aware Movie Recommendation via Multimodal Network Learning

Yueting Zhuang, Deng Cai, Xiaofei He, 2018, IEEE Transactions on Multimedia.

DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network

Xiaofei He, Jie Song, Tu Zheng, 2021, AAAI.

Towards Efficient Adversarial Training on Vision Transformers

Xiaofei He, Zhifeng Li, Boxi Wu, 2022, ECCV.

Do Wider Neural Networks Really Help Adversarial Robustness?

Quanquan Gu, Xiaofei He, Deng Cai, 2020, NeurIPS.

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks

Yueting Zhuang, Deng Cai, Xiaofei He, 2017, IJCAI.

TelecomNet: Tag-Based Weakly-Supervised Modally Cooperative Hashing Network for Image Retrieval

Xiaofei He, Wanqing Zhao, Ziyu Guan, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Why Do We Click: Visual Impression-aware News Recommendation

Tat-Seng Chua, Zhou Zhao, Xiuqiang He, 2021, ACM Multimedia.

Parallel Field Ranking

Jiawei Han, Deng Cai, Xiaofei He, 2012, TKDD.

Clustering and searching WWW images using link and page layout analysis

Wei-Ying Ma, Ji-Rong Wen, Deng Cai, 2004, TOMCCAP.

Semi-Supervised Regression using Spectral Techniques

Jiawei Han, Deng Cai, Xiaofei He, 2006 .

Image clustering with tensor representation

Jiawei Han, Deng Cai, Xiaofei He, 2005, ACM Multimedia.

Statistical and computational analysis of locality preserving projection

Deng Cai, Xiaofei He, Wanli Min, 2005, ICML.

Organizing WWW images based on the analysis of page layout and Web link structure

Wei-Ying Ma, Ji-Rong Wen, Deng Cai, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Imagerank : spectral techniques for structural analysis of image database

Wei-Ying Ma, Xiaofei He, HongJiang Zhang, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention pdf

Wei Liu, Wenxiao Wang, Deng Cai, 2021, ArXiv.

Spectral Regression for Efficient Regularized Subspace Learning

Jiawei Han, Deng Cai, Xiaofei He, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Regularized locality preserving indexing via spectral regression

Jiawei Han, Deng Cai, Xiaofei He, 2007, CIKM '07.

Locality preserving indexing for document representation

Wei-Ying Ma, Deng Cai, Xiaofei He, 2004, SIGIR '04.

Attacking Adversarial Attacks as A Defense pdf

Boxi Wu, Jindong Gu, Wei Liu, 2021, ArXiv.

Locality sensitive semi-supervised feature selection

Jidong Zhao, Ke Lu, Xiaofei He, 2008, Neurocomputing.

Document clustering using locality preserving indexing

Jiawei Han, Deng Cai, Xiaofei He, 2005, IEEE Transactions on Knowledge and Data Engineering.

Modeling Noncommutative Composition of Relations for Knowledge Graph Embedding

Xiaofei He, Deng Cai, Cong Fu, 2023, Electronics.

Graph Embedding with Constraints

Xiaofei He, H. Bao, Ming Ji, 2009, IJCAI.

Graph Regularized Feature Selection with Data Reconstruction

Yueting Zhuang, Wilfred Ng, Deng Cai, 2016, IEEE Transactions on Knowledge and Data Engineering.

G-Optimal Feature Selection with Laplacian regularization

Ke Lu, Xiaofei He, Guanhong Yao, 2013, Neurocomputing.

Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis

Hong Yan, Xiaofei He, Dao-Qing Dai, 2015, IEEE Transactions on Knowledge and Data Engineering.

Using rich social media information for music recommendation via hypergraph model

Chun Chen, Jiajun Bu, Xiaofei He, 2011, TOMCCAP.

Optimizing traffic efficiency via a reinforcement learning approach based on time allocation

Xiansheng Hua, Yao Hu, Xiaofei He, 2023, International Journal of Machine Learning and Cybernetics.

Parallel field alignment for cross media retrieval

Jian Pei, Deng Cai, Xiaofei He, 2013, ACM Multimedia.

Document recommendation in social tagging services

Chun Chen, Jiajun Bu, Kun Yang, 2010, WWW '10.

VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation

Zhou Zhao, Zhen Lei, Baoxing Huai, 2021, ACM Multimedia.

DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis

Chun Chen, Jiajun Bu, Xiaofei He, 2010, Expert Syst. Appl..

Learning a semantic space from user's relevance feedback for image retrieval

Wei-Ying Ma, Mingjing Li, Xiaofei He, 2003, IEEE Trans. Circuits Syst. Video Technol..

User Preference Learning for Online Social Recommendation

Yueting Zhuang, Hanqing Lu, Deng Cai, 2016, IEEE Transactions on Knowledge and Data Engineering.

Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning

Yueting Zhuang, Deng Cai, Xiaofei He, 2016, IJCAI.

Image retrieval based on incremental subspace learning

Ke Lu, Xiaofei He, Xiaofei He, 2005, Pattern Recognit..

Manifold Adaptive Experimental Design for Text Categorization

Deng Cai, Xiaofei He, Xiaofei He, 2012, IEEE Transactions on Knowledge and Data Engineering.

Learning a locality preserving subspace for visual recognition

Yuxiao Hu, Shuicheng Yan, Xiaofei He, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval

Xiaofei He, Xiaofei He, 2010, IEEE Transactions on Image Processing.

Spectral regression: a unified subspace learning framework for content-based image retrieval

Jiawei Han, Deng Cai, Xiaofei He, 2007, ACM Multimedia.

Isometric Projection

Jiawei Han, Deng Cai, Xiaofei He, 2007, AAAI.

Spectral Regression for Dimensionality Reduction

Jiawei Han, Deng Cai, Xiaofei He, 2007 .

Image representation using Laplacian regularized nonnegative tensor factorization

Chun Chen, Jiajun Bu, Xiaofei He, 2011, Pattern Recognit..

Does Network Width Really Help Adversarial Robustness? pdf

Deng Cai, Xiaofei He, Jinghui Chen, 2020, ArXiv.

Discriminative codeword selection for image representation

Chun Chen, Jiajun Bu, Xiaofei He, 2010, ACM Multimedia.

Learning a Maximum Margin Subspace for Image Retrieval

Jiawei Han, Deng Cai, Xiaofei He, 2008, IEEE Transactions on Knowledge and Data Engineering.

Improving face recognition with domain adaptation

Deng Cai, Xiaofei He, Ge Wen, 2018, Neurocomputing.

Learning an image manifold for retrieval

Wei-Ying Ma, Xiaofei He, HongJiang Zhang, 2004, MULTIMEDIA '04.

Video Question Answering via Hierarchical Dual-Level Attention Network Learning

Yueting Zhuang, Deng Cai, Xiaofei He, 2017, ACM Multimedia.

Tensor space model for document analysis

Jiawei Han, Deng Cai, Xiaofei He, 2006, SIGIR.

Iterative Multi-View Hashing for Cross Media Indexing

Yao Hu, Zhongming Jin, Deng Cai, 2014, ACM Multimedia.

Smarnet: Teaching Machines to Read and Comprehend Like Human pdf

Deng Cai, Xiaofei He, Zhou Zhao, 2017, ArXiv.

Dual Graph for Traffic Forecasting

Xian-Sheng Hua, Zhongming Jin, Deng Cai, 2019, IEEE Access.

Tag-oriented document summarization

Chun Chen, Jiajun Bu, Gang Lu, 2009, WWW '09.

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion

Yao Hu, Zhongming Jin, Debing Zhang, 2014, IEEE Transactions on Cybernetics.

Learning Manifold Structures With Subspace Segmentations

Lei Zhang, Xiaofei He, Zhang Yi, 2019, IEEE Transactions on Cybernetics.

IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

Jun Zhao, Xiaofei He, Wei Zhao, 2019, KDD.

Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network

Jun Xiao, Deng Cai, Xiaofei He, 2018, IJCAI.

Motion-aware Memory Network for Fast Video Salient Object Detection

Xiaofei He, Dongdong Zhao, Guodao Sun, 2022, ArXiv.

Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization

Yueting Zhuang, Hanqing Lu, Deng Cai, 2016, ACM Multimedia.

Multi-label active learning based on submodular functions

Deng Cai, Xiaofei He, Kuoliang Wu, 2018, Neurocomputing.

Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling

Xiaofei He, Xin Guo, Jianqiang Huang, 2023, IEEE Transactions on Knowledge and Data Engineering.

Query rewriting using active learning for sponsored search

Xiaofei He, Wei Vivian Zhang, Benjamin Rey, 2007, SIGIR.

MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification

Xian-Sheng Hua, Jianqiang Huang, Zhongming Jin, 2020, IJCAI.

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction pdf

Jieping Ye, Deng Cai, Xiaofei He, 2016, ICML.

A low rank structural large margin method for cross-modal ranking

Yueting Zhuang, Xiaofei He, Zhongfei Zhang, 2013, SIGIR.

Online Kernel Learning with a Near Optimal Sparsity Bound

Jinfeng Yi, Rong Jin, Xiaofei He, 2013, ICML.

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions pdf

Rong Jin, Tianbao Yang, Xiaofei He, 2013, ICML.

Efficient Online Learning for Large-scale Sparse Kernel Logistic Regression

Chun Chen, Jiajun Bu, Rong Jin, 2022 .

Sparse Learning with Stochastic Composite Optimization

Xuelong Li, Rong Jin, Zhongming Jin, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization

Mao Ye, Zhang Yi, Xiaofei He, 2014, IEEE Transactions on Knowledge and Data Engineering.

Multi-Query Parallel Field Ranking for image retrieval

Bin Xu, Xiaofei He, Ji Yang, 2014, Neurocomputing.

Multi-Target Regression via Robust Low-Rank Learning

Xiaofei He, Xiantong Zhen, Shuo Li, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Link Prediction via Ranking Metric Dual-Level Attention Network Learning

Yueting Zhuang, Deng Cai, Xiaofei He, 2017, IJCAI.

Non-Negative Matrix Factorization with Sinkhorn Distance

Xuelong Li, Deng Cai, Xiaofei He, 2016, IJCAI.

A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering

Xuelong Li, Zhang Yi, Xiaofei He, 2015, IEEE Transactions on Image Processing.

Graph Regularized Nonnegative Matrix Factorization for Data Representation

Thomas S. Huang, Xiaofei He, Jiawei Han, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Salient Object Ranking with Position-Preserved Attention pdf

Yao Hu, Minghao Chen, Yi Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Large scale multi-class classification with truncated nuclear norm regularization

Yao Hu, Zhongming Jin, Yi Shi, 2015, Neurocomputing.

Document Summarization Based on Data Reconstruction

Chun Chen, Jiajun Bu, Deng Cai, 2012, AAAI.

Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion

Xuelong Li, Yao Hu, Deng Cai, 2016, ACM Trans. Multim. Comput. Commun. Appl..

Efficient manifold ranking for image retrieval

Chun Chen, Jiajun Bu, Wei Liu, 2011, SIGIR.

Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments

Xiaofei He, Wei Zhao, Ziyu Guan, 2020, IEEE Transactions on Knowledge and Data Engineering.

Image retrieval using nonlinear manifold embedding

Chun Chen, Jiajun Bu, Xiaofei He, 2009, Neurocomputing.

ES-Net: Erasing Salient Parts to Learn More in Re-Identification

Deng Cai, Xiaofei He, Hao Feng, 2020, IEEE Transactions on Image Processing.

Error-correcting output hashing in fast similarity search

Zhou Yu, Deng Cai, Xiaofei He, 2010, ICIMCS '10.

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation

Xiaofei He, Zhou Zhao, Shengyu Zhang, 2022, ArXiv.

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference

Xiaofei He, Yueting Zhuang, Deng Cai, 2018, Annual Meeting of the Association for Computational Linguistics.

Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation pdf

Deng Cai, Xiaofei He, Zhou Zhao, 2017, ArXiv.

Sparse Learning for Stochastic Composite Optimization

Rong Jin, Xuelong Li, Xiaofei He, 2014, AAAI Conference on Artificial Intelligence.

Unsupervised document summarization from data reconstruction perspective

Chun Chen, Jiajun Bu, Deng Cai, 2015, Neurocomputing.

Discriminative-Generative Dual Memory Video Anomaly Detection pdf

Zhongming Jin, Jianqiang Huang, Deng Cai, 2021, ArXiv.

Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users?

Jian Pei, Yu Yang, Xiaofei He, 2016, SIGMOD Conference.

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment

Xiaofei He, Binbin Lin, Deng Cai, 2023, ArXiv.

A Unified Feature and Instance Selection Framework Using Optimum Experimental Design

Chun Chen, Jiajun Bu, Xiaofei He, 2012, IEEE Transactions on Image Processing.

Tangent space learning and generalization

Xiaofei He, Binbin Lin, He Xiaofei, 2011 .

Multi-scale fusion transformer based weakly supervised hashing learning for instance retrieval

Xiaofei He, Wanqing Zhao, Ziyu Guan, 2023, International Journal of Machine Learning and Cybernetics.

Spherical Knowledge Distillation

Yao Hu, Xiaofei He, Minghao Chen, 2020, ArXiv.

Discriminative concept factorization for data representation

Xiaofei He, Wei Hua, Xiaofei He, 2011, Neurocomputing.

Multi-Target Regression via Robust Low-Rank Learning

Xiaofei He, S. Li, Xiantong Zhen, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Local Feature Discriminant Projection

Ling Shao, Xiaofei He, Xiantong Zhen, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised feature selection for multi-cluster data

Chiyuan Zhang, Xiaofei He, Deng Cai, 2010, KDD.

Online robust principal component analysis via truncated nuclear norm regularization

Yao Hu, Deng Cai, Xiaofei He, 2016, Neurocomputing.

Probabilistic dyadic data analysis with local and global consistency

Deng Cai, Xiaofei He, Xuanhui Wang, 2009, ICML '09.

Denoising Multi-modal Sequential Recommenders with Contrastive Learning

Xiaofei He, Rui Zhang, Zhou Zhao, 2023, ArXiv.

Continuous Influence Maximization

Jian Pei, Yu Yang, Xiaofei He, 2020, ACM Trans. Knowl. Discov. Data.

Subspace Learning Based on Tensor Analysis

Jiawei Han, Deng Cai, Xiaofei He, 2005 .

Graph Embedding with Constraints

Eric A. Hansen, Rong Zhou, E. Hansen, 2009, IJCAI.

Multi-Label Transfer Learning With Sparse Representation

Yueting Zhuang, Xiaofei He, Yahong Han, 2010, IEEE Transactions on Circuits and Systems for Video Technology.

Exploiting Known Taxonomies in Learning Overlapping Concepts

Thomas Hofmann, Lijuan Cai, Xiaofei He, 2007, IJCAI.

Knowing a tree from the forest: art image retrieval using a society of profiles

Volker Tresp, Wei-Ying Ma, H. Kriegel, 2003, ACM Multimedia.