Xiaofeng He

发表

On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2005, SDM.

A MinMaxCut Spectral Method for Data Clustering and Graph Partitioning

C. Ding, Xiaofeng He, H. Simon, 2003 .

Spectral Relaxation for K-means Clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, NIPS.

K-means clustering via principal component analysis

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2004, ICML.

A min-max cut algorithm for graph partitioning and data clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Adaptive dimension reduction for clustering high dimensional data

Hongyuan Zha, Xiaofeng He, Chris Ding, 2002 .

Adaptive dimension reduction for clustering high dimensional data

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Principal Component Analysis and Effective K-Means Clustering

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2004, SDM.

R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2006, ICML.

Bipartite graph partitioning and data clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, CIKM '01.

Link Analysis: Hubs and Authorities on the World Wide Web

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2004, SIAM Rev..

Linearized cluster assignment via spectral ordering

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2004, ICML.

Massive Parallel Join in NUMA Architecture

Xiaofeng He, Wei He, Minqi Zhou, 2013, 2013 IEEE International Congress on Big Data.

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2002, PKDD.

Performance of a Diesel Engine with Ethyl Levulinate-Diesel Blends: A Study using Grey Relational Analysis

Xiaofeng He, Tingzhou Lei, Zhiwei Wang, 2013 .

Using a Wideband Digital Gain Control Amplifier with Linearity Improvement Technique for a Digital TV Tuner

Xiaofeng He, Tianchun Ye, Taishan Mo, 2022 .

A Unified Representation of MultiProtein Complex Data

C. Ding, Xiaofeng He, S. Holbrook, 2004 .

Coding and decoding data by multiplexing vortex beams in free space

Xiaofeng He, F. Pang, Yingxiong Song, 2020 .

Comparison of the Physical and Chemical Properties, Performance, and Emissions of Ethyl Levulinate–Biodiesel–Diesel and n-Butanol–Biodiesel–Diesel Blends

Xiaofeng He, Xiaoyu Yan, Tingzhou Lei, 2017 .

Development of an L-Band HTS Duplexer Sub-system with Novel Stepped Impedance Resonators

Xiaofeng He, C. Li, Chunguang Li, 2013 .

An L-band HTS duplexer with improved performance

Xiaofeng He, C. Gu, Wuxia Li, 2010 .

Vectorial eigenvector method for simulating the polarization dependent resonator.

Xiaofeng He, Xiahui Tang, B. Li, 2017, Optics express.

The effect of multiwall carbon nanotube on the crystallization, morphology, and rheological properties of nylon1010 nanocomposites

Xiaofeng He, Biao Wang, Jingjiang Liu, 2007 .

A Novel Orientation Method for Polarized Light Compass Under Tilted Conditions

Xiaofeng He, Xiaoping Hu, Guoliang Han, 2020, IEEE Sensors Journal.

Slow-Wave Characteristics of a Frame–Rod Structure Based on Micro-Fabricated Technology for THz Vacuum Electron Devices

Xiaofeng He, Yongfeng Ju, Yudong Yang, 2016 .

Grey Relational Analysis for the Production of Dimethyl Ether Syngas in a Biomass Pyrolysis Reactor

Xiaofeng He, Tingzhou Lei, Zhiwei Wang, 2013 .

Consumption of vegetables may reduce the risk of liver cancer: results from a meta-analysis of case-control and cohort studies.

Xiaofeng He, P. Mao, W. Xie, 2015, Clinics and research in hepatology and gastroenterology.

Which is false: Oxaliplatin or fluoropyrimidine? An analysis of patients with KRAS wild‐type metastatic colorectal cancer treated with first‐line epidermal growth factor receptor monoclonal antibody

Xiaofeng He, M. Li, Yi Zhou, 2013, Cancer science.

An Improved Approach to Network Ambiguity Validation by Applying Outlier Detection to the Baseline Measurement Errors

Xian Li, Xiaofeng He, Kaidong Zhang, 2013, Surveys in Geophysics.

Polarized Light Compass-Aided Visual-Inertial Navigation Under Foliage Environment

Xiaofeng He, Xiaoping Hu, Junxiang Lian, 2017, IEEE Sensors Journal.

Development of a HTS transceiver sub-system for 3G mobile communication TD-SCDMA base station

Yan Zhang, Xiaofeng He, Qiang Zhang, 2010 .

A HTS Balun on Lanthanum Aluminate Substrate

Xiaofeng He, Xu Wang, Chunguang Li, 2012 .

Bionic Orientation and Visual Enhancement With a Novel Polarization Camera

Xiaofeng He, Xiaoping Hu, Junxiang Lian, 2017, IEEE Sensors Journal.

On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering

C. Ding, Xiaofeng He, H. Simon, 2005 .

Tailoring Carbon Materials Substrate to Modify the Electronic Structure of Platinum for Boosting Its Electrocatalytic Activity

Xiaofeng He, Jinling He, Fengjia Bai, 2018 .

A Bio-Inspired Multi-Sensor System for Robust Orientation and Position Estimation*

Xiaofeng He, Xiaoping Hu, Guoliang Han, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Spectral min-max cut for graph partitioning and data clustering

Ming Gu, Hongyuan Zha, Xiaofeng He, 2001 .

PageRank, HITS and a unified framework for link analysis

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2002, SIGIR '02.

Bionic Polarized Skylight Orientation Method Based on the Model Consistency of Polarization Patterns in Cloudy Weather

Xiaofeng He, Xuesong Wu, Xiaoping Hu, 2022, IEEE Sensors Journal.

Learning user credibility for product ranking

Xiaofeng He, Aoying Zhou, Ming Gao, 2016, Knowledge and Information Systems.

Event phase oriented news summarization

Aoying Zhou, Chengyu Wang, Xiaofeng He, 2017, World Wide Web.

Cluster Structure of K-means Clustering via Principal Component Analysis

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2004, PAKDD.

Hyper-Meta Reinforcement Learning with Sparse Reward pdf

Hongyuan Zha, Xiaofeng He, Xiangfeng Wang, 2020, ArXiv.

Web document clustering using hyperlink structures

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, Comput. Stat. Data Anal..

Positive sample only learning (PSOL) for predicting RNA genes in E. coli

Chris H. Q. Ding, Xiaofeng He, Richard F. Meraz, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Cluster merging and splitting in hierarchical clustering algorithms

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

A unified representation of multiprotein complex data for modeling interaction networks

Xiaofeng He, Chris Ding, Stephen R Holbrook, 2004, Proteins.

A ug 2 00 1 Bipartite Graph Partitioning and Data Clustering ∗ Hongyuan

Xiaofeng He, Zha, 2008 .

A Hybrid Framework for Product Normalization in Online Shopping

Li Wang, Aoying Zhou, Rong Zhang, 2013, DASFAA.

Automatic topic identification using webpage clustering

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

A spectral method to separate disconnected and nearly-disconnected web graph components

Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, 2001, KDD '01.

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

Lu Wang, Wei Zhang, Hongyuan Zha, 2018, KDD.

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining pdf

Chengyu Wang, Xiaofeng He, Xiaofeng He, 2021, ACL.

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining

Chengyu Wang, Xiaofeng He, Xiaofeng He, 2021, APWeb/WAIM.

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources

Jun Huang, Xiaofeng He, Minghui Qiu, 2020, FINDINGS.

Learning Robust Representations with Graph Denoising Policy Network

Hongyuan Zha, Wei Zhang, Haifeng Chen, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Deep Reinforcement Learning for Greenhouse Climate Control

Xiaofeng He, Lu Wang, Dijun Luo, 2020, 2020 IEEE International Conference on Knowledge Graph (ICKG).

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning pdf

Le Song, Hongxia Yang, Jingren Zhou, 2021, ArXiv.

Knowledge Engineering with Big Data

Xindong Wu, Qinghua Zheng, Huanhuan Chen, 2015, IEEE Intell. Syst..

Finding cliques in protein interaction networks via transitive closure of a weighted graph

Chris H. Q. Ding, Hanchuan Peng, Xiaofeng He, 2005, BIOKDD.

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱

Bo Zong, Hongyuan Zha, Xiaofeng He, 2020, WWW.

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation

Xiaofeng He, Ruiming Tang, Xiuqiang He, 2022, WSDM.

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining pdf

Jun Huang, Xiaofeng He, Minghui Qiu, 2020, EMNLP.

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

Xiaofeng He, Jun Huang, Chengyu Wang, 2021, AAAI.

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training

Xiaofeng He, J. Wang, Ang Wang, 2022, EMNLP.

Contour-aware semantic segmentation network with spatial attention mechanism for medical image

Xiaofeng He, Aiping Qu, Zhiming Cheng, 2021, The Visual Computer.

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery

Hui Xiong, Chris H. Q. Ding, Vipin Kumar, 2004, Pacific Symposium on Biocomputing.

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Hongyuan Zha, Xiangfeng Wang, Junchi Yan, 2020, KDD.

Challenges in Chinese knowledge graph construction

Ming Gao, Rong Zhang, Chengyu Wang, 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads

Xiaofeng He, Wei Zhang, Junzhou Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Detecting anomaly in data streams by fractal model

Xiaofeng He, Aoying Zhou, Weining Qian, 2014, World Wide Web.

Distributed Data Stream Clustering: A Fast EM-based Approach

Aoying Zhou, Xiaofeng He, Feng Cao, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization

Chris H. Q. Ding, Xiaofeng He, C. Ding, 2004, SAC '04.

Predicting hypernym–hyponym relations for Chinese taxonomy learning

Xiaofeng He, Aoying Zhou, Yan Fan, 2019, Knowledge and Information Systems.

Towards modeling popularity of microblogs

Aoying Zhou, Jun Xu, Xiaofeng He, 2013, Frontiers of Computer Science.

{\it R}$_{\mbox{1}}$-PCA: rotational invariant {\it L}$_{\mbox{1}}$-norm principal component analysis for robust subspace factorization

Hongyuan Zha, Xiaofeng He, Chris Ding, 2006, ICML 2006.

User Action Interpretation for Online Content Optimization

Xiaofeng He, Jiang Bian, Yi Chang, 2013, IEEE Transactions on Knowledge and Data Engineering.

Threshold Selection for Classification with Skewed Class Distribution

Aoying Zhou, Rong Zhang, Xiaofeng He, 2013, WAIM Workshops.

HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction

Xiaofeng He, Taolin Zhang, Chengyu Wang, 2022, FINDINGS.

BiUCB: A Contextual Bandit Algorithm for Cold-Start and Diversified Recommendation

Lu Wang, Chengyu Wang, Xiaofeng He, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Learning Document Labels from Enriched Click Graphs

Xiaofeng He, Lan Nie, Zhigang Hua, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Event phase oriented news summarization

Xiaofeng He, Aoying Zhou, Chengyu Wang, 2018, World Wide Web.

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning

Lu Wang, Xiaofeng He, Wei Zhang, 2019, DASFAA.

BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection

Xiaofeng He, Chengyu Wang, Xiaofeng He, 2020, ACL.

Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering

Chris H. Q. Ding, Xiaofeng He, Horst D. Simon, 2005, ECML.

Product-oriented review summarization and scoring

Aoying Zhou, Rong Zhang, Xiaofeng He, 2015, Frontiers of Computer Science.

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification pdf

Jun Huang, Xiaofeng He, Minghui Qiu, 2020, AAAI.

Improving Clinical Named Entity Recognition with Global Neural Attention

Chengyu Wang, Xiaofeng He, Guohai Xu, 2018, APWeb/WAIM.

Neural Attentive Knowledge Tracing Model for Student Performance Prediction

Xiaofeng He, Junrui Zhang, Yun Mo, 2020, 2020 IEEE International Conference on Knowledge Graph (ICKG).

HEEL: exploratory entity linking for heterogeneous information networks

Aoying Zhou, Chengyu Wang, Xiaofeng He, 2019, Knowledge and Information Systems.

Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques

Hui Xiong, Chris H. Q. Ding, Hanchuan Peng, 2006, Int. J. Data Min. Bioinform..

A Transfer Learning Based Boosting Model for Emotion Analysis

Chengyu Wang, Xiaofeng He, Ruolan Yong, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Debiasing Learning to Rank Models with Generative Adversarial Networks

Xiaofeng He, Chengyu Wang, Hui Cai, 2020, APWeb/WAIM.

A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction

Aoying Zhou, Chengyu Wang, Xiaofeng He, 2019, WWW.

SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction

Chengyu Wang, Xiaofeng He, Boxing Chen, 2019, SDM.

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources

Jun Huang, Minghui Qiu, Chengyu Wang, 2021, CIKM.

Dual Autoencoder Enhanced Subgraph Pattern Mining for Cognitive Diagnosis

Xiaofeng He, Changzhi Chen, Haodong Meng, 2022, 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).

Knowledge Engineering with Big Data

Xiaofeng He, Jun Liu, Gongqing Wu, 2015, IEEE Intelligent Systems.

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation

Xiaofeng He, Ruiming Tang, Xiuqiang He, 2022, WSDM.

A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances

Aoying Zhou, Chengyu Wang, Xiaofeng He, 2017, EMNLP.

Exploratory Neural Relation Classification for Domain Knowledge Acquisition

Chengyu Wang, Xiaofeng He, Yan Fan, 2018, COLING.