Huawei Shen

发表

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias

Jiangli Shao, Huawei Shen, Qi Cao, 2019, CCIR.

Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network pdf

Xueqi Cheng, Wei Chen, Peng Bao, 2013, ArXiv.

The Propagation Background in Social Networks: Simulating and Modeling

Enhong Chen, Kai Li, Huawei Shen, 2020, International Journal of Automation and Computing.

Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes

Xiaolong Jin, Xueqi Cheng, Peng Bao, 2015, WWW.

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

Xueqi Cheng, Huawei Shen, Qi Cao, 2017, CIKM.

Coupled Graph Neural Networks for Predicting the Popularity of Online Content pdf

Xueqi Cheng, Huawei Shen, Qi Cao, 2019, ArXiv.

Learning Cost-Effective Social Embedding for Cascade Prediction

Wei Liu, Xueqi Cheng, Huawei Shen, 2016, SMP.

A unified framework for recommending diverse and relevant queries

Xueqi Cheng, Huawei Shen, Pan Du, 2011, WWW.

Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks

Xueqi Cheng, Huawei Shen, Jinhua Gao, 2019, WWW.

Learning Sentimental Influences from Users' Behaviors pdf

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2016, ArXiv.

Xueqi Cheng, Peng Bao, Huawei Shen, 2013, WWW.

Unified Collaborative Filtering over Graph Embeddings

Pengfei Wang, Yongfeng Zhang, Huawei Shen, 2019, SIGIR.

Modeling and Predicting Retweeting Dynamics via a Mixture Process

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2016, WWW.

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2017, CIKM.

ANAE: Learning Node Context Representation for Attributed Network Embedding

Huawei Shen, Keting Cen, Xueqi Cheng, 2019 .

Modeling Users’ Multifaceted Interest Correlation for Social Recommendation

Hao Wang, Huawei Shen, Xueqi Cheng, 2020, PAKDD.

Detect colluded stock manipulation via clique in trading network

Xueqi Cheng, Huawei Shen, Fa-Bin Shi, 2019, Physica A: Statistical Mechanics and its Applications.

Learning User-Specific Latent Influence and Susceptibility from Information Cascades

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2013, AAAI.

Detect overlapping and hierarchical community structure in networks pdf

Mao-Bin Hu, Xueqi Cheng, Huawei Shen, 2008, ArXiv.

Truth Discovery by Claim and Source Embedding

Huawei Shen, Xueqi Cheng, Yongqing Wang, 2019 .

Relative influence maximization in competitive social networks

Guolong Chen, Xueqi Cheng, Huawei Shen, 2017, Science China Information Sciences.

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation

Hao Wang, Xueqi Cheng, Huawei Shen, 2018, IJCAI.

Exploring social influence via posterior effect of word-of-mouth recommendations

Xiaolong Jin, Xueqi Cheng, Tao Zhou, 2012, WSDM '12.

Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism pdf

Yu Zhang, Jie Tang, Huawei Shen, 2018, ArXiv.

Adaptive co-training SVM for sentiment classification on tweets

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2013, CIKM.

Learning Concise Representations of Users' Influences through Online Behaviors

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2017, IJCAI.

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network

Xueqi Cheng, Huawei Shen, Shenghua Liu, 2017, IJCAI.

Spectral methods for the detection of network community structure: a comparative analysis pdf

Xueqi Cheng, Huawei Shen, Xueqi Cheng, 2010, ArXiv.

Context-Adaptive Matrix Factorization for Multi-Context Recommendation

Xueqi Cheng, Huawei Shen, Junming Huang, 2015, CIKM.

StaticGreedy: solving the scalability-accuracy dilemma in influence maximization

Xueqi Cheng, Huawei Shen, Guoqing Zhang, 2012, CIKM.

Fast density clustering strategies based on the k-means algorithm

Yike Guo, Jiye Liang, Liang Bai, 2017, Pattern Recognit..

Learning Content and Context with Language Bias for Visual Question Answering pdf

Huawei Shen, Dongsheng Li, Bin Jiang, 2020, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Towards early identification of online rumors based on long short-term memory networks

Xiaolong Jin, Huawei Shen, Yahui Liu, 2019, Inf. Process. Manag..

Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model

Jingyuan Li, Yuanzhuo Wang, Xueqi Cheng, 2012, 2012 Second International Conference on Cloud and Green Computing.

Dual Rejection Sampling for Wasserstein Auto-Encoders

Liang Hou, Huawei Shen, Xueqi Cheng, 2020, ECAI.

Multi-Select Faceted Navigation Based on Minimum Description Length Principle

Chao He, Xueqi Cheng, Huawei Shen, 2011, IJCAI.

Detecting overlapping communities in massive networks

Xueqi Cheng, Huawei Shen, Bing-Jie Sun, 2014 .

Social Media Processing

Xing Xie, Wei-Ying Ma, Huawei Shen, 2014, Communications in Computer and Information Science.

A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks

Yixin Chen, Yuanzhuo Wang, Xueqi Cheng, 2012, Journal of Computer Science and Technology.

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension pdf

Huawei Shen, Dongsheng Li, Bin Jiang, 2020, ArXiv.

Self-Learning and Embedding Based Entity Alignment

Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

IMRank: influence maximization via finding self-consistent ranking

Wei Chen, Xueqi Cheng, Huawei Shen, 2014, SIGIR.

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts

Jiye Liang, Liang Bai, Xueqi Cheng, 2016, IEEE Transactions on Knowledge and Data Engineering.

Information Bottleneck Based Community Detection in Network: Information Bottleneck Based Community Detection in Network

Haiqiang Chen, Yue Liu, Xueqi Cheng, 2009 .

Dynamic node immunization for restraint of harmful information diffusion in social networks

Xueqi Cheng, Huawei Shen, Xiangwen Liao, 2018 .

Modeling the reemergence of information diffusion in social network

Xueqi Cheng, Huawei Shen, Xiangwen Liao, 2018 .

Improve Network Clustering via Diversified Ranking

Xueqi Cheng, Huawei Shen, Bing-Jie Sun, 2015, CSoNet.

Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization pdf

Xueqi Cheng, Huawei Shen, Guoqing Zhang, 2012, ArXiv.

Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2018, CCIR.

Exploring the structural regularities in networks

Xueqi Cheng, Huawei Shen, Jiafeng Guo, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Node classification framework

Huawei Shen, Qi Cao, Xueqi Cheng, 2019 .

Query Classification Based on Regularized Correlated Topic Model

Jin Zhang, Qiong Wu, Xueqi Cheng, 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

The Untold Story Behind the Recommendation in Micro-blogging Network

Xueqi Cheng, Huawei Shen, Tong Man, 2012, 2012 Second International Conference on Cloud and Green Computing.

Social Media Processing

Huan Liu, Xueqi Cheng, Huawei Shen, 2017, Communications in Computer and Information Science.

Social Network Structure Behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track

Haiqiang Chen, Jin Xiong, Songbo Tan, 2006, TREC.

Learning representations for quality estimation of crowdsourced submissions

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2019, Inf. Process. Manag..

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017

Guoliang Xing, Huawei Shen, Bingbing Xu, 2019, Data Intelligence.

Signed Graph Attention Networks pdf

Xueqi Cheng, Huawei Shen, Junjie Huang, 2019, ICANN.

Adversarial Immunization for Certifiable Robustness on Graphs pdf

Liang Hou, Huawei Shen, Xueqi Cheng, 2020, WSDM.

Predict Anchor Links across Social Networks via an Embedding Approach

Xiaolong Jin, Xueqi Cheng, Huawei Shen, 2016, IJCAI.

Temporal scaling in information propagations pdf

Chao Li, Xueqi Cheng, Huawei Shen, 2013, ArXiv.

Self-learning and embedding based entity alignment

Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Learning influence and susceptibility from information cascade pdf

Xueqi Cheng, Huawei Shen, Yongqing Wang, 2013, ArXiv.

CT LIS

Huawei Shen, Shenghua Liu, Xueqi Cheng, 2019, ACM Trans. Knowl. Discov. Data.

Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation

Hao Wang, Huawei Shen, Xueqi Cheng, 2020, PAKDD.

Marked Temporal Dynamics Modeling Based on Recurrent Neural Network pdf

Huawei Shen, Shenghua Liu, Xueqi Cheng, 2017, PAKDD.

A Graph Auto-Encoder for Attributed Network Embedding pdf

Xueqi Cheng, Huawei Shen, Qi Cao, 2019, ArXiv.

Predicting the Popularity of Online Content with Group-specific Models

Hao Gao, Xueqi Cheng, Huawei Shen, 2017, WWW.

A structured approach to query recommendation with social annotation data

Xueqi Cheng, Huawei Shen, Gu Xu, 2010, CIKM.

Graph Wavelet Neural Network pdf

Xueqi Cheng, Huawei Shen, Qi Cao, 2019, ICLR.

Scientific credit diffusion: Researcher level or paper level?

Hao Wang, Xueqi Cheng, Huawei Shen, 2016, Scientometrics.

GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications

Huawei Shen, Peng Bao, Jian Tang, 2019, CIKM.

Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification

Xiaolong Jin, Xueqi Cheng, Huawei Shen, 2017, PAKDD.

ICT CAS at DUC 2007

Xiaolei Wang, Hongbo Xu, Huawei Shen, 2007 .

Exploring Collaboratively Annotated Data for Automatic Annotation

Xueqi Cheng, Huawei Shen, Shuo Bai, 2009 .

A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings

Yan Huang, Xueqi Cheng, Huawei Shen, 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

What We Vote for? Answer Selection from User Expertise View in Community Question Answering

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2019, WWW.

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection

Christos Faloutsos, Xueqi Cheng, Bryan Hooi, 2019, PAKDD.

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning pdf

Huawei Shen, Qi Cao, Keting Cen, 2019, IJCAI.

Learning sequential features for cascade outbreak prediction

Yue Liu, Xueqi Cheng, Huawei Shen, 2018, Knowledge and Information Systems.

Prediction of "Forwarding Whom" Behavior in Information Diffusion pdf

Xueqi Cheng, Peng Bao, Huawei Shen, 2014, ArXiv.

Research on Enterprise Track of TREC 2008

Haiqiang Chen, Yue Liu, Xueqi Cheng, 2007, TREC.

EagleMine: Vision-Guided Mining in Large Graphs pdf

Christos Faloutsos, Xueqi Cheng, Bryan Hooi, 2017, ArXiv.

Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach pdf

Xiaolong Jin, Xueqi Cheng, Tao Zhou, 2012, ArXiv.

Huawei Shen, Xueqi Cheng, Jinhua Gao, 2020, WSDM.

ULE: Learning User and Location Embeddings for POI Recommendation

Hao Wang, Xueqi Cheng, Huawei Shen, 2018, 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC).

Cross-Domain Recommendation: An Embedding and Mapping Approach

Xiaolong Jin, Xueqi Cheng, Huawei Shen, 2017, IJCAI.

Finding Topic-Related Tweets Using Conversational Thread

Yue Liu, Jingyuan Li, Xueqi Cheng, 2012, Intelligent Information Processing.

Truth Discovery by Claim and Source Embedding

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2017, IEEE Transactions on Knowledge and Data Engineering.

Towards Efficient Detection of Overlapping Communities in Massive Networks

Xueqi Cheng, Huawei Shen, Wentao Ouyang, 2018, AAAI.

Modeling the clustering in citation networks pdf

Xueqi Cheng, Huawei Shen, Fuxin Ren, 2011, ArXiv.

Social Recommendation with Interpersonal Influence

Kun Yang, Xueqi Cheng, Huawei Shen, 2010, ECAI.

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng, 2021, SIGIR.

Adversarial Immunization for Certifiable Robustness on Graphs

Xueqi Cheng, Huawei Shen, Shuchang Tao, 2021, WSDM.

Learning diffusion model-free and efficient influence function for influence maximization from information cascades

Xueqi Cheng, Huawei Shen, Jinhua Gao, 2021, Knowledge and Information Systems.

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction

Xueqi Cheng, Huawei Shen, Jinhua Gao, 2021, PAKDD.

Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction pdf

Xueqi Cheng, Jiangli Shao, Huawei Shen, 2021, ArXiv.

SDGNN: Learning Node Representation for Signed Directed Networks pdf

Xueqi Cheng, Huawei Shen, Junjie Huang, 2021, AAAI.

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field

Xueqi Cheng, Huawei Shen, Bing-Jie Sun, 2021, AAAI.

Slimmable Generative Adversarial Networks

Zehuan Yuan, Xueqi Cheng, Huawei Shen, 2020, AAAI.

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence

Huawei Shen, Bin Jiang, Chao Yang, 2021, Knowledge-Based Systems.

Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation

Xueqi Cheng, Huawei Shen, Jinhua Gao, 2021, PAKDD.

Hu-index: a Unified Index to Quantify Individuals across Disciplines

Xueqi Cheng, Huawei Shen, Siying Li, 2021, Scientometrics.

CubeFlow: Money Laundering Detection with Coupled Tensors pdf

Xueqi Cheng, Huawei Shen, Xiaobing Sun, 2021, PAKDD.

How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

Xueqi Cheng, Huawei Shen, Junjie Huang, 2021, ICWSM.

Phase transitions in supercritical explosive percolation.

Xueqi Cheng, Huawei Shen, Wei Chen, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.