Xiaofei He

According to our database, Xiaofei He authored at least 247 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention.

Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Motion-Aware Memory Network for Fast Video Salient Object Detection.

Xing Zhao, Haoran Liang, Peipei Li, Guodao Sun, Dongdong Zhao, Ronghua Liang, Xiaofei He

IEEE Trans. Image Process., 2024

Temporal Feature Fusion for 3D Detection in Monocular Video.

Haoran Cheng, Liang Peng, Zheng Yang, Binbin Lin, Xiaofei He, Boxi Wu

IEEE Trans. Image Process., 2024

Model Compression and Efficient Inference for Large Language Models: A Survey.

Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2024

2023

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

Yuanhai Lv, Chen Jiao, Wanqing Zhao, Wei Zhao, Ziyu Guan, Xiaofei He

Int. J. Mach. Learn. Cybern., December, 2023

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

Chao Xiang, Zhongming Jin, Zhengxu Yu, Xian-Sheng Hua, Yao Hu, Wei Qian, Kaili Zhu, Deng Cai, Xiaofei He

Int. J. Mach. Learn. Cybern., October, 2023

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

Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Trans. Knowl. Data Eng., April, 2023

Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning.

Liang Xie, Yibo Yang, Deng Cai, Xiaofei He

Neurocomputing, March, 2023

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

Liang Xie, Guodong Xu, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 2023

Few-shot Hybrid Domain Adaptation of Image Generators.

Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Tu Zheng, Zheng Yang, Wenxiao Wang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He

CoRR, 2023

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving.

Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang

CoRR, 2023

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions.

Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang, Xiaofei He

CoRR, 2023

M³CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders.

Qibo Qiu, Honghui Yang, Wenxiao Wang, Shun Zhang, Haiming Gao, Haochao Ying, Wei Hua, Xiaofei He

CoRR, 2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation.

Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He

CoRR, 2023

SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition.

Qibo Qiu, Haiming Gao, Wenxiao Wang, Zhiyi Su, Tian Xie, Wei Hua, Xiaofei He

CoRR, 2023

Denoising Multi-modal Sequential Recommenders with Contrastive Learning.

Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu

CoRR, 2023

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

Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

CoRR, 2023

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

Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2023

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

Qibo Qiu, Haiming Gao, Wei Hua, Gang Huang, Xiaofei He

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards In-Distribution Compatible Out-of-Distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Wei Zhao, Cai Xu, Ziyu Guan, Xunlian Wu, Wanqing Zhao, Qiguang Miao, Xiaofei He, Quan Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud.

Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He

Int. J. Mach. Learn. Cybern., 2022

Towards In-distribution Compatibility in Out-of-distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CoRR, 2022

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation.

Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu

CoRR, 2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection.

Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Efficient Adversarial Training on Vision Transformers.

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

CLRNet: Cross Layer Refinement Network for Lane Detection.

Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MLSLT: Towards Multilingual Sign Language Translation.

Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification.

Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 2021

Learning Manifold Structures With Subspace Segmentations.

Shangming Yang, Lei Zhang, Xiaofei He, Zhang Yi

IEEE Trans. Cybern., 2021

COP: customized correlation-based Filter level pruning method for deep CNN compression.

Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He

Neurocomputing, 2021

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

Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Discriminative-Generative Dual Memory Video Anomaly Detection.

Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua

CoRR, 2021

OCM3D: Object-Centric Monocular 3D Object Detection.

Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai

CoRR, 2021

Do Wider Neural Networks Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SimulSLT: End-to-End Simultaneous Sign Language Translation.

Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Why Do We Click: Visual Impression-aware News Recommendation.

Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling Wu, Xiaofei He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

Salient Object Ranking with Position-Preserved Attention.

Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments.

Wei Zhao, Ziyu Guan, Yuhui Huang, Tingting Xi, Huan Sun, Zhiheng Wang, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2020

Continuous Influence Maximization.

Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He

ACM Trans. Knowl. Discov. Data, 2020

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

Long Wei, Zhenyong Wei, Zhongming Jin, Zhengxu Yu, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Trans. Image Process., 2020

CoHomo: A cluster-attribute correlation aware graph clustering framework.

Yaming Yang, Hongmin Liu, Ziyu Guan, Xiaofei He, Gaoliang Liu

Neurocomputing, 2020

Decouple co-adaptation: Classifier randomization for person re-identification.

Long Wei, Zhenyong Wei, Zhongming Jin, Qianxiao Wei, Jianqiang Huang, Xian-Sheng Hua, Deng Cai, Xiaofei He

Neurocomputing, 2020

LAMP: Label Augmented Multimodal Pretraining.

Jia Guo, Chen Zhu, Yilun Zhao, Heda Wang, Yao Hu, Xiaofei He, Deng Cai

CoRR, 2020

Spherical Knowledge Distillation.

Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

CoRR, 2020

Does Network Width Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

CoRR, 2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

CoRR, 2020

Stable Learning via Causality-based Feature Rectification.

Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua

CoRR, 2020

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

Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module.

Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Real-Time 17-Scale Object Detection Accelerator With Adaptive 2000-Stage Classification in 65 nm CMOS.

Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Luning Wei, Xiaofei He, Yu Cao, Jae-sun Seo

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.

Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

J. Mach. Learn. Res., 2019

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

Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks.

Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Progressive Transfer Learning for Person Re-identification.

Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning.

Yang Liu, Jishun Guo, Deng Cai, Xiaofei He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Robust Structured Nonnegative Matrix Factorization for Image Representation.

Zechao Li, Jinhui Tang, Xiaofei He

IEEE Trans. Neural Networks Learn. Syst., 2018

Social-Aware Movie Recommendation via Multimodal Network Learning.

Zhou Zhao, Qifan Yang, Hanqing Lu, Tim Weninger, Deng Cai, Xiaofei He, Yueting Zhuang

IEEE Trans. Multim., 2018

Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis.

Wei Zhao, Ziyu Guan, Long Chen, Xiaofei He, Deng Cai, Beidou Wang, Quan Wang

IEEE Trans. Knowl. Data Eng., 2018

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.

Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

IEEE Trans. Knowl. Data Eng., 2018

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

Peng Chen, Yuanjie Dang, Ronghua Liang, Wei Zhu, Xiaofei He

IEEE Trans. Intell. Transp. Syst., 2018

Multi-Target Regression via Robust Low-Rank Learning.

Xiantong Zhen, Mengyang Yu, Xiaofei He, Shuo Li

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Multi-label active learning based on submodular functions.

Kuoliang Wu, Deng Cai, Xiaofei He

Neurocomputing, 2018

Split-Net: Improving face recognition in one forwarding operation.

Ge Wen, Yi Mao, Deng Cai, Xiaofei He

Neurocomputing, 2018

Improving face recognition with domain adaptation.

Ge Wen, Huaguan Chen, Deng Cai, Xiaofei He

Neurocomputing, 2018

Dialogue Act Recognition via CRF-Attentive Structured Network.

Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

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

Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Reinforcement Learning for Sponsored Search Real-time Bidding.

Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning.

Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism.

Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference.

Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Sparse Learning with Stochastic Composite Optimization.

Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2017

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

Boyuan Pan, Hao Li, Zhou Zhao, Deng Cai, Xiaofei He

CoRR, 2017

Smarnet: Teaching Machines to Read and Comprehend Like Human.

Zheqian Chen, Rongqin Yang, Bin Cao, Zhou Zhao, Deng Cai, Xiaofei He

CoRR, 2017

Learning Graph-Level Representation for Drug Discovery.

Junying Li, Deng Cai, Xiaofei He

CoRR, 2017

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

Boyuan Pan, Hao Li, Zhou Zhao, Bin Cao, Deng Cai, Xiaofei He

CoRR, 2017

Video Question Answering via Hierarchical Dual-Level Attention Network Learning.

Zhou Zhao, Jinghao Lin, Xinghua Jiang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks.

Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Microblog Sentiment Classification via Recurrent Random Walk Network Learning.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Link Prediction via Ranking Metric Dual-Level Attention Network Learning.

Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Asymmetric Bayesian Adaptive Matrix Factorization.

Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS.

Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Naveen Suda, Luning Wei, Pooja Saseendran, Xiaofei He, Yu Cao, Jae-sun Seo

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

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

Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion.

Yao Hu, Chen Zhao, Deng Cai, Xiaofei He, Xuelong Li

ACM Trans. Multim. Comput. Commun. Appl., 2016

User Preference Learning for Online Social Recommendation.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

IEEE Trans. Knowl. Data Eng., 2016

Graph Regularized Feature Selection with Data Reconstruction.

Zhou Zhao, Xiaofei He, Deng Cai, Lijun Zhang, Wilfred Ng, Yueting Zhuang

IEEE Trans. Knowl. Data Eng., 2016

Improving Collaborative Recommendation via User-Item Subgroups.

Jiajun Bu, Xin Shen, Bin Xu, Chun Chen, Xiaofei He, Deng Cai

IEEE Trans. Knowl. Data Eng., 2016

Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions.

Haoran Liang, Ronghua Liang, Mingli Song, Xiaofei He

IEEE Trans. Cybern., 2016

Local Feature Discriminant Projection.

Mengyang Yu, Ling Shao, Xiantong Zhen, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A-Optimal Projection for Image Representation.

Xiaofei He, Chiyuan Zhang, Lijun Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Heterogeneous hypergraph embedding for document recommendation.

Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Tracking people in RGBD videos using deep learning and motion clues.

Hongyang Xue, Yao Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Online robust principal component analysis via truncated nuclear norm regularization.

Bin Hong, Long Wei, Yao Hu, Deng Cai, Xiaofei He

Neurocomputing, 2016

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

Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

CoRR, 2016

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

Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He

Proceedings of the 2016 International Conference on Management of Data, 2016

Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

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

Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Non-Negative Matrix Factorization with Sinkhorn Distance.

Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Accelerated Sparse Linear Regression via Random Projection.

Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Expert Finding for Question Answering via Graph Regularized Matrix Completion.

Zhou Zhao, Lijun Zhang, Xiaofei He, Wilfred Ng

IEEE Trans. Knowl. Data Eng., 2015

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

Bin Xu, Jiajun Bu, Chun Chen, Can Wang, Deng Cai, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2015

Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis.

Chuan-Xian Ren, Dao-Qing Dai, Xiaofei He, Hong Yan

IEEE Trans. Knowl. Data Eng., 2015

A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering.

Shangming Yang, Zhang Yi, Xiaofei He, Xuelong Li

IEEE Trans. Image Process., 2015

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

Shibiao Xu, Feihu Zhang, Xiaofei He, Xukun Shen, Xiaopeng Zhang

IEEE Trans. Image Process., 2015

Large scale multi-class classification with truncated nuclear norm regularization.

Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

Unsupervised document summarization from data reconstruction perspective.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

Event Recovery by Faster Truncated Nuclear Norm Minimization.

Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Mobile Query Recommendation via Tensor Function Learning.

Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization.

Shangming Yang, Zhang Yi, Mao Ye, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2014

Interpreting the Public Sentiment Variations on Twitter.

Shulong Tan, Yang Li, Huan Sun, Ziyu Guan, Xifeng Yan, Jiajun Bu, Chun Chen, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2014

Scaling Hop-Based Reachability Indexing for Fast Graph Pattern Query Processing.

Ronghua Liang, Hai Zhuge, Xiaorui Jiang, Qiang Zeng, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2014

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion.

Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He

IEEE Trans. Cybern., 2014

Oriented boundary padding for iterative and oriented fringe pattern denoising techniques.

Haixia Wang, Qian Kemao, Ronghua Liang, Huayin Wang, Ming Zhao, Xiaofei He

Signal Process., 2014

Multi-Query Parallel Field Ranking for image retrieval.

Ji Yang, Bin Xu, Binbin Lin, Xiaofei He

Neurocomputing, 2014

Special issue on advances in intelligence science and intelligent data engineering.

Xiaofei He, Changyin Sun

Neurocomputing, 2014

Iterative Multi-View Hashing for Cross Media Indexing.

Yao Hu, Zhongming Jin, Hongyi Ren, Deng Cai, Xiaofei He

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Geodesic Distance Function Learning via Heat Flow on Vector Fields.

Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye

Proceedings of the 31th International Conference on Machine Learning, 2014

Sparse Learning for Stochastic Composite Optimization.

Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Parallel Field Ranking.

Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han

ACM Trans. Knowl. Discov. Data, 2013

Nonnegative Local Coordinate Factorization for Image Representation.

Yan Chen, Jiemi Zhang, Deng Cai, Wei Liu, Xiaofei He

IEEE Trans. Image Process., 2013

Image Compression by Learning to Minimize the Total Error.

Chiyuan Zhang, Xiaofei He

IEEE Trans. Circuits Syst. Video Technol., 2013

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization.

Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Parallel vector field embedding.

Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji

J. Mach. Learn. Res., 2013

Editorial of the Special Issue on Manifold Learning.

Xiaofei He

Int. J. Softw. Informatics, 2013

G-Optimal Feature Selection with Laplacian regularization.

Guanhong Yao, Ke Lu, Xiaofei He

Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.

Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He

Proceedings of the 22nd International World Wide Web Conference, 2013

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

Xinyan Lu, Fei Wu, Siliang Tang, Zhongfei Zhang, Xiaofei He, Yueting Zhuang

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Parallel field alignment for cross media retrieval.

Xiangbo Mao, Binbin Lin, Deng Cai, Xiaofei He, Jian Pei

Proceedings of the ACM Multimedia Conference, 2013

Salient Object Detection via Fast Iterative Truncated Nuclear Norm Recovery.

Chuhang Zou, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing.

Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Harmonious Hashing.

Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai

Proceedings of the IJCAI 2013, 2013

Active Learning Based on Local Representation.

Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Online Kernel Learning with a Near Optimal Sparsity Bound.

Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He

Proceedings of the 30th International Conference on Machine Learning, 2013

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

Lijun Zhang, Tianbao Yang, Rong Jin, Xiaofei He

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Quantitative Characterization of Semantic Gaps for Learning Complexity Estimation and Inference Model Selection.

Jianping Fan, Xiaofei He, Ning Zhou, Jinye Peng, Ramesh C. Jain

IEEE Trans. Multim., 2012

Manifold Adaptive Experimental Design for Text Categorization.

Deng Cai, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2012

A Unified Feature and Instance Selection Framework Using Optimum Experimental Design.

Lijun Zhang, Chun Chen, Jiajun Bu, Xiaofei He

IEEE Trans. Image Process., 2012

Multi-task Vector Field Learning.

Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Unsupervised face-name association via commute distance.

Jiajun Bu, Bin Xu, Chenxia Wu, Chun Chen, Jianke Zhu, Deng Cai, Xiaofei He

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Accelerated singular value thresholding for matrix completion.

Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Matrix completion by Truncated Nuclear Norm Regularization.

Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression.

Lijun Zhang, Rong Jin, Chun Chen, Jiajun Bu, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Random Projection with Filtering for Nearly Duplicate Search.

Yue Lin, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Document Summarization Based on Data Reconstruction.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Speed up kernel discriminant analysis.

Deng Cai, Xiaofei He, Jiawei Han

VLDB J., 2011

Using rich social media information for music recommendation via hypergraph model.

Shulong Tan, Jiajun Bu, Chun Chen, Bin Xu, Can Wang, Xiaofei He

ACM Trans. Multim. Comput. Commun. Appl., 2011

Laplacian Regularized Gaussian Mixture Model for Data Clustering.

Xiaofei He, Deng Cai, Yuanlong Shao, Hujun Bao, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2011

Locally Consistent Concept Factorization for Document Clustering.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2011

Image representation using Laplacian regularized nonnegative tensor factorization.

Can Wang, Xiaofei He, Jiajun Bu, Zhengguang Chen, Chun Chen, Ziyu Guan

Pattern Recognit., 2011

Active Learning Based on Locally Linear Reconstruction.

Lijun Zhang, Chun Chen, Jiajun Bu, Deng Cai, Xiaofei He, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization.

Xiaofei He, Ming Ji, Chiyuan Zhang, Hujun Bao

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Graph Regularized Nonnegative Matrix Factorization for Data Representation.

Deng Cai, Xiaofei He, Jiawei Han, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Discriminative concept factorization for data representation.

Wei Hua, Xiaofei He

Neurocomputing, 2011

Efficient manifold ranking for image retrieval.

Bin Xu, Jiajun Bu, Chun Chen, Deng Cai, Xiaofei He, Wei Liu, Jiebo Luo

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Learning search tasks in queries and web pages via graph regularization.

Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He, Wei Vivian Zhang, Zheng Chen

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Semi-supervised Regression via Parallel Field Regularization.

Binbin Lin, Chiyuan Zhang, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Orthogonal Projection Analysis.

Binbin Lin, Chiyuan Zhang, Xiaofei He

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Non-negative local coordinate factorization for image representation.

Yan Chen, Hujun Bao, Xiaofei He

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Sparse concept coding for visual analysis.

Deng Cai, Hujun Bao, Xiaofei He

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Using Rich Social Media Information for Music Recommendation via Hypergraph Model.

Shulong Tan, Jiajun Bu, Chun Chen, Xiaofei He

Proceedings of the Social Media Modeling and Computing., 2011

2010

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

Xiaofei He

IEEE Trans. Image Process., 2010

Multi-Label Transfer Learning With Sparse Representation.

Yahong Han, Fei Wu, Yueting Zhuang, Xiaofei He

IEEE Trans. Circuits Syst. Video Technol., 2010

Laplacianfaces.

Xiaofei He

Scholarpedia, 2010

Approximately harmonic projection: Theoretical analysis and an algorithm.

Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu

Pattern Recognit., 2010

DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis.

Guang Qiu, Xiaofei He, Feng Zhang, Yuan Shi, Jiajun Bu, Chun Chen

Expert Syst. Appl., 2010

Document recommendation in social tagging services.

Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He

Proceedings of the 19th International Conference on World Wide Web, 2010

Discriminative codeword selection for image representation.

Lijun Zhang, Chun Chen, Jiajun Bu, Zhengguang Chen, Shulong Tan, Xiaofei He

Proceedings of the 18th International Conference on Multimedia 2010, 2010

K-way min-max cut for image clustering and junk images filtering from Google images.

Feng Xie, Yi Shen, Xiaofei He

Proceedings of the 18th International Conference on Multimedia 2010, 2010

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

Jiajun Bu, Shulong Tan, Chun Chen, Can Wang, Hao Wu, Lijun Zhang, Xiaofei He

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Unsupervised feature selection for multi-cluster data.

Deng Cai, Chiyuan Zhang, Xiaofei He

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Error-correcting output hashing in fast similarity search.

Zhou Yu, Deng Cai, Xiaofei He

Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

Gaussian Mixture Model with Local Consistency.

Jialu Liu, Deng Cai, Xiaofei He

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Image retrieval using nonlinear manifold embedding.

Can Wang, Jun Zhao, Xiaofei He, Chun Chen, Jiajun Bu

Neurocomputing, 2009

Tag-oriented document summarization.

Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, Gang Lu

Proceedings of the 18th International Conference on World Wide Web, 2009

Advertising keyword generation using active learning.

Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng Qu, Jing Shen, Jiajun Bu, Chun Chen

Proceedings of the 18th International Conference on World Wide Web, 2009

News article extraction with template-independent wrapper.

Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu

Proceedings of the 18th International Conference on World Wide Web, 2009

Probabilistic question recommendation for question answering communities.

Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, Hao Wu, Jiajun Bu, Chun Chen

Proceedings of the 18th International Conference on World Wide Web, 2009

Convex experimental design using manifold structure for image retrieval.

Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng Cai, Xiaofei He

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Semi-supervised topic modeling for image annotation.

Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hujun Bao

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Graph Embedding with Constraints.

Xiaofei He, Ming Ji, Hujun Bao

Proceedings of the IJCAI 2009, 2009

Locality Preserving Nonnegative Matrix Factorization.

Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han

Proceedings of the IJCAI 2009, 2009

Probabilistic dyadic data analysis with local and global consistency.

Deng Cai, Xuanhui Wang, Xiaofei He

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Active subspace learning.

Xiaofei He, Deng Cai

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

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

Xiaofei He, Ming Ji, Hujun Bao

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Learning a Maximum Margin Subspace for Image Retrieval.

Xiaofei He, Deng Cai, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2008

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2008

Regularized query classification using search click information.

Xiaofei He, Pradhuman Jhala

Pattern Recognit., 2008

Locality sensitive semi-supervised feature selection.

Jidong Zhao, Ke Lu, Xiaofei He

Neurocomputing, 2008

Non-negative Matrix Factorization on Manifold.

Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Training Linear Discriminant Analysis in Linear Time.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 24th International Conference on Data Engineering, 2008

Sparse Projections over Graph.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Clustering and searching WWW images using link and page layout analysis.

Xiaofei He, Deng Cai, Ji-Rong Wen, Wei-Ying Ma, Hong-Jiang Zhang

ACM Trans. Multim. Comput. Commun. Appl., 2007

Query rewriting using active learning for sponsored search.

Wei Vivian Zhang, Xiaofei He, Benjamin Rey, Rosie Jones

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Laplacian optimal design for image retrieval.

Xiaofei He, Wanli Min, Deng Cai, Kun Zhou

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

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

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Regularized regression on image manifold for retrieval.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Locality Sensitive Discriminant Analysis.

Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao

Proceedings of the IJCAI 2007, 2007

Efficient Kernel Discriminant Analysis via Spectral Regression.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Spectral Regression: A Unified Approach for Sparse Subspace Learning.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Semi-supervised Discriminant Analysis.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spectral Regression for Efficient Regularized Subspace Learning.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning a Spatially Smooth Subspace for Face Recognition.

Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Regularized locality preserving indexing via spectral regression.

Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Isometric Projection.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Orthogonal Laplacianfaces for Face Recognition.

Deng Cai, Xiaofei He, Jiawei Han, HongJiang Zhang

IEEE Trans. Image Process., 2006

Tensor space model for document analysis.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Semi-supervised Support Vector Learning for Face Recognition.

Ke Lu, Xiaofei He, Jidong Zhao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Document Clustering Using Locality Preserving Indexing.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2005

Image retrieval based on incremental subspace learning.

Ke Lu, Xiaofei He

Pattern Recognit., 2005

Face Recognition Using Laplacianfaces.

Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Orthogonal locality preserving indexing.

Deng Cai, Xiaofei He

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Community Mining from Multi-relational Networks.

Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Tensor Subspace Analysis.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Laplacian Score for Feature Selection.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Image clustering with tensor representation.

Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Mining hidden community in heterogeneous social networks.

Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han

Proceedings of the 3rd international workshop on Link discovery, 2005

Statistical and computational analysis of locality preserving projection.

Xiaofei He, Deng Cai, Wanli Min

Proceedings of the Machine Learning, 2005

Neighborhood Preserving Embedding.

Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Bayesian shape localization for face recognition using global and local textures.

Shuicheng Yan, Xiaofei He, Yuxiao Hu, HongJiang Zhang, Mingjing Li, QianSheng Cheng

IEEE Trans. Circuits Syst. Video Technol., 2004

Locality pursuit embedding.

Wanli Min, Ke Lu, Xiaofei He

Pattern Recognit., 2004

Locality preserving indexing for document representation.

Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-level link analysis.

Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Locality preserving clustering for image database.

Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xueyin Lin

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Learning an image manifold for retrieval.

Xiaofei He, Wei-Ying Ma, HongJiang Zhang

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Incremental semi-supervised subspace learning for image retrieval.

Xiaofei He

Proceedings of the 12th ACM International Conference on Multimedia, 2004

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

Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-Rong Wen

Proceedings of the 12th ACM International Conference on Multimedia, 2004

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

Deng Cai, Xiaofei He, Wei-Ying Ma, Ji-Rong Wen, HongJiang Zhang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Image Retrieval Using Dimensionality Reduction.

Ke Lu, Xiaofei He, Jiazhi Zeng

Proceedings of the Computational and Information Science, First International Symposium, 2004

2003

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

Xiaofei He, Oliver King, Wei-Ying Ma, Mingjing Li, HongJiang Zhang

IEEE Trans. Circuits Syst. Video Technol., 2003

Locality Preserving Projections.

Xiaofei He, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

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

Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel

Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Imagerank: spectral techniques for structural analysis of image database.

Xiaofei He, Wei-Ying Ma, Hong-Jiang Zhang

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Learning a Locality Preserving Subspace for Visual Recognition.

Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zhang

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

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

Xiaofei He, Wei-Ying Ma, Oliver King, Mingjing Li, HongJiang Zhang

Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002