Huawei Shen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Graph Adversarial Immunization for Certifiable Robustness.
IEEE Trans. Knowl. Data Eng., April, 2024

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
ACM Trans. Inf. Syst., March, 2024

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR, 2024

Unlocking the Power of Large Language Models for Entity Alignment.
CoRR, 2024

Qsnail: A Questionnaire Dataset for Sequential Question Generation.
CoRR, 2024

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement.
CoRR, 2024

Event-aware Video Corpus Moment Retrieval.
CoRR, 2024

Stable Knowledge Editing in Large Language Models.
CoRR, 2024

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs.
CoRR, 2024

Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.
CoRR, 2024

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
CoRR, 2024

Graph Domain Adaptation: Challenges, Progress and Prospects.
CoRR, 2024

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.
CoRR, 2024

ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs.
CoRR, 2024

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Node classification across networks via category-level domain adaptive network embedding.
Knowl. Inf. Syst., December, 2023

Adversarial camouflage for node injection attack on graphs.
Inf. Sci., November, 2023

DyTSCL: Dynamic graph representation via tempo-structural contrastive learning.
Neurocomputing, November, 2023

Learning node representation via Motif Coarsening.
Knowl. Based Syst., October, 2023

What makes a successful rebuttal in computer science conferences?: A perspective on social interaction.
J. Informetrics, August, 2023

Time Series Anomaly Detection With Adversarial Reconstruction Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

UniSKGRep: A unified representation learning framework of social network and knowledge graph.
Neural Networks, January, 2023

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data.
Inf. Process. Manag., 2023

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.
Inf. Process. Manag., 2023

AsyLink: user identity linkage from text to geo-location via sparse labeled data.
Neurocomputing, 2023

TEA: Test-time Energy Adaptation.
CoRR, 2023

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval.
CoRR, 2023

FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
CoRR, 2023

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
CoRR, 2023

Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR, 2023

Robust Recommender System: A Survey and Future Directions.
CoRR, 2023

Significant-attributed Community Search in Heterogeneous Information Networks.
CoRR, 2023

IDEA: Invariant Causal Defense for Graph Adversarial Robustness.
CoRR, 2023

LLMDet: A Large Language Models Detection Tool.
CoRR, 2023

Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks.
CoRR, 2023

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method.
CoRR, 2023

Multi-video Moment Ranking with Multimodal Clue.
CoRR, 2023

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
CoRR, 2023

Towards Deeper Graph Neural Networks via Layer-Adaptive.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Simple Multi-view Can Bring Powerful Graph Neural Network.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.
Proceedings of the ACM Web Conference 2023, 2023

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LLMDet: A Third Party Large Language Models Generated Text Detection Tool.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Meta-Path Based Social Relation Reasoning in a Deep and Robust Way.
Proceedings of the Database Systems for Advanced Applications, 2023

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving Graph Domain Adaptation with Network Hierarchy.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CANA: Causal-enhanced Social Network Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Causality and Independence Enhancement for Biased Node Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Provable Framework of Learning Graph Embeddings via Summarization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection.
IEEE Trans. Big Data, 2022

Location-aware convolutional neural networks for graph classification.
Neural Networks, 2022

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function.
Entropy, 2022

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective.
CoRR, 2022

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.
CoRR, 2022

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.
CoRR, 2022

Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage.
CoRR, 2022

Adversarial Camouflage for Node Injection Attack on Graphs.
CoRR, 2022

Learning node embeddings via summary graphs: a brief theoretical analysis.
CoRR, 2022

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
CoRR, 2022

Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors.
CoRR, 2022

Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CoRR, 2022

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.
CoRR, 2022

On the Cybernetics of Crowdsourcing Innovation: A Process Model.
IEEE Access, 2022

PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Few-Shot Stance Detection via Target-Aware Prompt Distillation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.
Proceedings of the Learning on Graphs Conference, 2022

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization.
Proceedings of the 12th IEEE International Conference on Indoor Positioning and Indoor Navigation, 2022

Region-based Cross-modal Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Powerful Graph Contrastive Learning without Negative Examples.
Proceedings of the International Joint Conference on Neural Networks, 2022

SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Conditional GANs with Auxiliary Discriminative Classifier.
Proceedings of the International Conference on Machine Learning, 2022

Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

InDNI: An Infection Time Independent Method for Diffusion Network Inference.
Proceedings of the Information Retrieval - 28th China Conference, 2022

2021
Truth Discovery by Claim and Source Embedding.
IEEE Trans. Knowl. Data Eng., 2021

h<sub>u</sub>-index: a unified index to quantify individuals across disciplines.
Scientometrics, 2021

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence.
Knowl. Based Syst., 2021

Learning diffusion model-free and efficient influence function for influence maximization from information cascades.
Knowl. Inf. Syst., 2021

Incorporating explicit syntactic dependency for aspect level sentiment classification.
Neurocomputing, 2021

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Future Gener. Comput. Syst., 2021

Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction.
CoRR, 2021

cGANs with Auxiliary Discriminative Classifier.
CoRR, 2021

Inductive Representation Based Graph Convolution Network for Collaborative Filtering.
CoRR, 2021

Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction.
CoRR, 2021

Adversarial Immunization for Certifiable Robustness on Graphs.
Proceedings of the WSDM '21, 2021

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DPGS: Degree-Preserving Graph Summarization.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

CubeFlow: Money Laundering Detection with Coupled Tensors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Self-Supervised GANs with Label Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Multi-Modality Image Manipulation Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learning Content and Context with Language Bias for Visual Question Answering.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Adaptive Information Seeking for Open-Domain Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transductive Learning for Unsupervised Text Style Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Single Node Injection Attack against Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Locate Who You Are: Matching Geo-location to Text for User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Signed Bipartite Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Aligning Networks by Maximizing Topological Consistency Between Neighborhoods.
Proceedings of the Big Data - 9th CCF Conference, 2021

AugSplicing: Synchronized Behavior Detection in Streaming Tensors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SDGNN: Learning Node Representation for Signed Directed Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Slimmable Generative Adversarial Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Beyond Low-frequency Information in Graph Convolutional Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Propagation Background in Social Networks: Simulating and Modeling.
Int. J. Autom. Comput., 2020

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension.
CoRR, 2020

Summarizing graphs using the configuration model.
CoRR, 2020

Adversarial Immunization for Improving Certifiable Robustness on Graphs.
CoRR, 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access, 2020

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SpecGreedy: Unified Dense Subgraph Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Modeling Users' Multifaceted Interest Correlation for Social Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Dual Rejection Sampling for Wasserstein Auto-Encoders.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors.
ACM Trans. Knowl. Discov. Data, 2019

Self-learning and embedding based entity alignment.
Knowl. Inf. Syst., 2019

Learning representations for quality estimation of crowdsourced submissions.
Inf. Process. Manag., 2019

Towards early identification of online rumors based on long short-term memory networks.
Inf. Process. Manag., 2019

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.
Data Intell., 2019

Coupled Graph Neural Networks for Predicting the Popularity of Online Content.
CoRR, 2019

A Graph Auto-Encoder for Attributed Network Embedding.
CoRR, 2019

Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks.
Proceedings of the World Wide Web Conference, 2019

What We Vote for? Answer Selection from User Expertise View in Community Question Answering.
Proceedings of the World Wide Web Conference, 2019

Unified Collaborative Filtering over Graph Embeddings.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Wavelet Neural Network.
Proceedings of the 7th International Conference on Learning Representations, 2019

Signed Graph Attention Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias.
Proceedings of the Information Retrieval - 25th China Conference, 2019

2018
Learning sequential features for cascade outbreak prediction.
Knowl. Inf. Syst., 2018

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

ULE: Learning User and Location Embeddings for POI Recommendation.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Towards Efficient Detection of Overlapping Communities in Massive Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fast density clustering strategies based on the k-means algorithm.
Pattern Recognit., 2017

EagleMine: Vision-Guided Mining in Large Graphs.
CoRR, 2017

Marked Temporal Dynamics Modeling based on Recurrent Neural Network.
CoRR, 2017

Relative influence maximization in competitive social networks.
Sci. China Inf. Sci., 2017

Predicting the Popularity of Online Content with Group-specific Models.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Marked Temporal Dynamics Modeling Based on Recurrent Neural Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cross-Domain Recommendation: An Embedding and Mapping Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Concise Representations of Users' Influences through Online Behaviors.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-Learning and Embedding Based Entity Alignment.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Truth Discovery by Claim and Source Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.
IEEE Trans. Knowl. Data Eng., 2016

Scientific credit diffusion: Researcher level or paper level?
Scientometrics, 2016

Learning Sentimental Influences from Users' Behaviors.
CoRR, 2016

Modeling and Predicting Retweeting Dynamics via a Mixture Process.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning Cost-Effective Social Embedding for Cascade Prediction.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Predict Anchor Links across Social Networks via an Embedding Approach.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Improve Network Clustering via Diversified Ranking.
Proceedings of the Computational Social Networks - 4th International Conference, 2015

Context-Adaptive Matrix Factorization for Multi-Context Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning User-Specific Latent Influence and Susceptibility from Information Cascades.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Collective credit allocation in science.
CoRR, 2014

Prediction of "Forwarding Whom" Behavior in Information Diffusion.
CoRR, 2014

IMRank: influence maximization via finding self-consistent ranking.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Community structure of complex networks.
Springer, ISBN: 978-3-642-31820-7, 2013

Learning influence and susceptibility from information cascade.
CoRR, 2013

Temporal scaling in information propagations.
CoRR, 2013

Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network.
CoRR, 2013

Popularity prediction in microblogging network: a case study on sina weibo.
Proceedings of the 22nd International World Wide Web Conference, 2013

Adaptive co-training SVM for sentiment classification on tweets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

StaticGreedy: solving the scalability-accuracy dilemma in influence maximization.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks.
J. Comput. Sci. Technol., 2012

Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization
CoRR, 2012

Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach
CoRR, 2012

Exploring social influence via posterior effect of word-of-mouth recommendations.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Finding Topic-Related Tweets Using Conversational Thread.
Proceedings of the Intelligent Information Processing VI, 2012

Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

The Untold Story Behind the Recommendation in Micro-blogging Network.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011
Exploring the structural regularities in networks
CoRR, 2011

Modeling the clustering in citation networks
CoRR, 2011

A unified framework for recommending diverse and relevant queries.
Proceedings of the 20th International Conference on World Wide Web, 2011

Multi-Select Faceted Navigation Based on Minimum Description Length Principle.
Proceedings of the IJCAI 2011, 2011

A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings.
Proceedings of 20th International Conference on Computer Communications and Networks, 2011

2010
Spectral methods for the detection of network community structure: a comparative analysis
CoRR, 2010

Social Recommendation with Interpersonal Influence.
Proceedings of the ECAI 2010, 2010

A structured approach to query recommendation with social annotation data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Query Classification Based on Regularized Correlated Topic Model.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

2008
Detect overlapping and hierarchical community structure in networks
CoRR, 2008

Research on Enterprise Track of TREC 2008.
Proceedings of The Seventeenth Text REtrieval Conference, 2008

2007
Research on Enterprise Track of TREC 2007.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

2006
Social Network Structure Behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track.
Proceedings of the Fifteenth Text REtrieval Conference, 2006


  Loading...