2024
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Learning Graph ODE for Continuous-Time Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024
A Diffusion Model for POI Recommendation.
ACM Trans. Inf. Syst., March, 2024
Undergraduate Computer Science Education in China.
Inroads, March, 2024
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data, February, 2024
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Towards Semi-Supervised Universal Graph Classification.
IEEE Trans. Knowl. Data Eng., January, 2024
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit., 2024
A Comprehensive Survey on Deep Graph Representation Learning.
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Neural Networks, 2024
Poisoning medical knowledge using large language models.
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Nat. Mac. Intell., 2024
A bioactivity foundation model using pairwise meta-learning.
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Nat. Mac. Intell., 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion, 2024
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
CoRR, 2024
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response.
CoRR, 2024
Cluster-guided Contrastive Class-imbalanced Graph Classification.
CoRR, 2024
Embracing Large Language Models in Traffic Flow Forecasting.
CoRR, 2024
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.
CoRR, 2024
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR, 2024
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies.
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CoRR, 2024
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning.
CoRR, 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR, 2024
Vision-Braille: An End-to-End Tool for Chinese Braille Image-to-Text Translation.
CoRR, 2024
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
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CoRR, 2024
Towards Graph Contrastive Learning: A Survey and Beyond.
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CoRR, 2024
Multi-Scale Protein Language Model for Unified Molecular Modeling.
CoRR, 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
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CoRR, 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR, 2024
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR, 2024
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR, 2024
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Measuring Social Norms of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
A Survey of Data-Efficient Graph Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
PGODE: Towards High-quality System Dynamics Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Measuring Vision-Language STEM Skills of Neural Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024
Preparing Lessons for Progressive Training on Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data, December, 2023
Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks, January, 2023
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res., 2023
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res., 2023
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks, 2023
A Survey of Reasoning with Foundation Models.
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CoRR, 2023
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR, 2023
FIMO: A Challenge Formal Dataset for Automated Theorem Proving.
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CoRR, 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
CoRR, 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow.
CoRR, 2023
A Comprehensive Survey on Deep Graph Representation Learning.
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CoRR, 2023
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.
CoRR, 2023
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
Proceedings of the International Conference on Machine Learning, 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Towards a Unified Training for Levenshtein Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning on Graphs under Label Noise.
Proceedings of the IEEE International Conference on Acoustics, 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.
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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
GLCC: A General Framework for Graph-Level Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks, 2022
TIER-A: Denoising Learning Framework for Information Extraction.
CoRR, 2022
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs.
CoRR, 2022
End-to-End Rubbing Restoration Using Generative Adversarial Networks.
CoRR, 2022
scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform., 2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
Proceedings of the International Joint Conference on Neural Networks, 2022
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Kernel-based Substructure Exploration for Next POI Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation.
Proceedings of the IEEE International Conference on Acoustics, 2022
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Deep Graph Mutual Learning for Cross-domain Recommendation.
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Proceedings of the Database Systems for Advanced Applications, 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Generate & Rank: A Multi-task Framework for Math Word Problems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR, 2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR, 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Augmented Bi-path Network for Few-shot Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
A Graph to Graphs Framework for Retrosynthesis Prediction.
Proceedings of the 37th International Conference on Machine Learning, 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020
STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention.
Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.
Proceedings of the AMIA 2020, 2020
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Providing personalized learning guidance in MOOCs by multi-source data analysis.
World Wide Web, 2019
Combating Fake News: A Survey on Identification and Mitigation Techniques.
ACM Trans. Intell. Syst. Technol., 2019
Report on the First ACM Global Computing Education Conference (CompEd).
ACM SIGCSE Bull., 2019
Learning to Answer Ambiguous Questions with Knowledge Graph.
CoRR, 2019
Learning to Customize Language Model for Generation-based dialog systems.
CoRR, 2019
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.
CoRR, 2019
Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR, 2019
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning.
CoRR, 2019
Session-Based Social Recommendation via Dynamic Graph Attention Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Computing Curricula 2020: Introduction and Community Engagement.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
Computing Competencies and the CC2020 Project.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.
Proceedings of the 46th Computing in Cardiology, 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Predictive Multi-level Patient Representations from Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
Proceedings of the AMIA 2019, 2019
More Chinese women needed to hold up half the computing sky.
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
SIGCSE launches new conference on a global scale.
ACM SIGCSE Bull., 2018
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.
Data Min. Knowl. Discov., 2018
IT2017 Report: Implementing A Competency-Based Information Technology Program.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018
Global Awareness for Computing Educators and Scholars: (Abstract Only).
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Emotion Analysis for the Upcoming Response in Open-Domain Human-Computer Conversation.
Proceedings of the Web and Big Data, 2018
A Neural Architecture for Automated ICD Coding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Towards Automated ICD Coding Using Deep Learning.
CoRR, 2017
Syntax Aware LSTM Model for Chinese Semantic Role Labeling.
CoRR, 2017
IT2017 Report: Putting It to Work.
Proceedings of the 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology, 2017
CC2020: A Vision on Computing Curricula.
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017
Diversifying Neural Conversation Model with Maximal Marginal Relevance.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Socialized Word Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Syntax Aware LSTM model for Semantic Role Labeling.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos.
Proceedings of the 10th International Conference on Educational Data Mining, 2017
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Topic medical concept embedding: Multi-sense representation learning for medical concept.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Joint Emoji Classification and Embedding Learning.
Proceedings of the Web and Big Data - First International Joint Conference, 2017
A data-driven analysis of student efforts and improvements on a SPOC experiment.
Proceedings of the ACM Turing 50th Celebration Conference, 2017
Hybrid small class teaching: dividing and conquering large computer systems classes.
Proceedings of the ACM Turing 50th Celebration Conference, 2017
MOOC student dropout: pattern and prevention.
Proceedings of the ACM Turing 50th Celebration Conference, 2017
2016
World Knowledge as Indirect Supervision for Document Clustering.
ACM Trans. Knowl. Discov. Data, 2016
Less is More: Learning Prominent and Diverse Topics for Data Summarization.
CoRR, 2016
Context-aware Natural Language Generation with Recurrent Neural Networks.
CoRR, 2016
Visualization Large-scale and High-dimensional Data.
CoRR, 2016
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems.
CoRR, 2016
Visualizing Large-scale and High-dimensional Data.
Proceedings of the 25th International Conference on World Wide Web, 2016
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Structured Knowledge Tracing Models for Student Assessment on Coursera.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016
Global Perspectives on the Role of Two-Year/Technical/Junior Colleges in Computing Education.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016
Game Development for Computer Science Education.
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Proceedings of the 2016 ITiCSE Working Group Reports, 2016
Dialogue Session Segmentation by Embedding-Enhanced TextTiling.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Chinese Couplet Generation with Neural Network Structures.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Text Classification with Heterogeneous Information Network Kernels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
LINE: Large-scale Information Network Embedding.
Proceedings of the 24th International Conference on World Wide Web, 2015
ACM/IEEE-CS Information Technology Curriculum 2017: A Status Update.
Proceedings of the 16th Annual Conference on Information Technology Education, 2015
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms".
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Multinational Perspectives on Information Technology from Academia and Industry.
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Proceedings of the 2015 ITiCSE Working Group Reports, 2015
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Classifying Stances of Interaction Posts in Social Media Debate Sites.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Feedback Model for Microblog Retrieval.
Proceedings of the Database Systems for Advanced Applications, 2015
Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
A Probabilistic Approach to String Transformation.
IEEE Trans. Knowl. Data Eng., 2014
Undergraduate IT education in China.
Inroads, 2014
"Look Ma, No Hands!" A Parameter-Free Topic Model.
CoRR, 2014
China's perspective from the viewpoint of computational thinking on CS1 for non-majors (abstract only).
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014
VeLoc: finding your car in the parking lot.
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Personalized search in digital libraries via spreading activation model.
Web Intell. Agent Syst., 2013
A clique-superposition model for social networks.
Sci. China Inf. Sci., 2013
Should IT2008 be revised?
Proceedings of the 14th Annual ACM SIGITE Conference on Information Technology Education, 2013
One theme in all views: modeling consensus topics in multiple contexts.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Unexpected Relevance: An Empirical Study of Serendipity in Retweets.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013
Incorporating Hierarchical Dirichlet Process into Tag Topic Model.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo).
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Mining protein complexes based on connected affinity clique extension.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Measuring Strength of Ties in Social Network.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013
Paraphrasing Adaptation for Web Search Ranking.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
Supervised Topic Model with Consideration of User and Item.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
2012
We know what @you #tag: does the dual role affect hashtag adoption?
Proceedings of the 21st World Wide Web Conference 2012, 2012
Please spread: recommending tweets for retweeting with implicit feedback.
Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2012
Integrating Temporal Usage Pattern into Personalized Tag Prediction.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
2011
A trigram hidden Markov model for metadata extraction from heterogeneous references.
Inf. Sci., 2011
Participation Maximization Based on Social Influence in Online Discussion Forums.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks.
Proceedings of the Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Learning to rank audience for behavioral targeting in display ads.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
User browsing behavior-driven web crawling.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Evolution of Social Networks: New Patterns and a New Generator.
Proceedings of the Ninth International Conference on Creating, 2011
Recommendation Algorithm Based on Graph-Model Considering User Background Information.
Proceedings of the Ninth International Conference on Creating, 2011
Let Other Users Help You Find Answers: A Collaborative Question-Answering Method with Continuous Markov Chain Model.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011
A Fast and Accurate Method for Approximate String Search.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Users' Book-Loan Behaviors Analysis and Knowledge Dependency Mining.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010
Undergraduate computer science education in China.
Proceedings of the 41st ACM technical symposium on Computer science education, 2010
A Novel Contrast Co-learning Framework for Generating High Quality Training Data.
Proceedings of the ICDM 2010, 2010
Analysis of the structure and evolution of the co-borrowing network in Peking University library.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Large-Scale Social Network Analysis Based on MapReduce.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2010
Building Web Page Logical Structure Model towards Effective Metadata Extraction.
Proceedings of the Advances in Web Technologies and Applications, 2010
Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search.
Proceedings of the Advances in Web Technologies and Applications, 2010
Graph-Based Recommendation on Social Networks.
Proceedings of the Advances in Web Technologies and Applications, 2010
Recommendation for Movies and Stars Using YAGO and IMDB.
Proceedings of the Advances in Web Technologies and Applications, 2010
Recommended or Not Recommended? Review Classification through Opinion Extraction.
Proceedings of the Advances in Web Technologies and Applications, 2010
2009
Multi-documents Automatic Abstracting based on text clustering and semantic analysis.
Knowl. Based Syst., 2009
Question answering based on pervasive agent ontology and Semantic Web.
Knowl. Based Syst., 2009
Implement web learning environment based on data mining.
Knowl. Based Syst., 2009
A novel approach for multi-agent-based Intelligent Manufacturing System.
Inf. Sci., 2009
Semantic information integration and question answering based on pervasive agent ontology.
Expert Syst. Appl., 2009
Analyzing user's book-loan behaviors in Peking university library from social network perspective.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009
2008
Community Discovery Based on Social Actors' Interests and Social Relationships.
Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008
Question Answering System Based on Ontology and Semantic Web.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008
Pfp: parallel fp-growth for query recommendation.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008
Energy-Predicted Shortest Routing Tree Algorithm in Wireless Sensor Networks.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
A novel approach for fault diagnosis of steam turbine based on neural network and genetic algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2008
Research on Intelligent Manufacturing System Based on Multi-Agent.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008
Implement Web Learning System Based on Genetic Algorithm and Pervasive Agent Ontology.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
A Paper Recommender for Scientific Literatures Based on Semantic Concept Similarity.
Proceedings of the Digital Libraries: Universal and Ubiquitous Access to Information, 2008
2007
On Line Course Organization.
Proceedings of the Advances in Web Based Learning, 2007
A Context-Based Framework and Method for Learning Object Description and Search.
Proceedings of the Advances in Web Based Learning, 2007
Recommending Scientific Literatures in a Collaborative Tagging Environment.
Proceedings of the Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers, 2007
2006
Mining Models of Composite Web Services for Performance Analysis.
Proceedings of the Database Systems for Advanced Applications, 2006
QoS-Driven Web Service Composition with Inter Service Conflicts.
Proceedings of the Frontiers of WWW Research and Development, 2006
2005
Web Service Composition Using Markov Decision Processes.
Proceedings of the Advances in Web-Age Information Management, 2005
DLOnto: A Semantic Information Model for Digital Libraries.
Proceedings of the 2005 International Conference on Semantics, 2005
Mining Frequent Ordered Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Web Service Composition Using Integer Programming-based Models.
Proceedings of the 2005 IEEE International Conference on e-Business Engineering (ICEBE 2005), 2005
GMA-PSMH: A Semantic Metadata Publish-Harvest Protocol for Dynamic Metadata Management Under Grid Environment.
Proceedings of the Digital Libraries: Implementing Strategies and Sharing Experiences, 2005
A Semantic Metadata Catalog Service for Grid.
Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005
An Efficient Text Categorization Algorithm Based on Category Memberships.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
Finding Hidden Semantics Behind Reference Linkages : An Ontological Approach for Scientific Digital Libraries.
Proceedings of the Database Systems for Advanced Applications, 2005
Improving Text Categorization Using the Importance of Words in Different Categories.
Proceedings of the Computational Intelligence and Security, International Conference, 2005
2004
PKUSpace: A Collaborative Platform for Scientific Researching.
Proceedings of the Advances in Web-Based Learning, 2004
Understanding the Semantics in Reference Linkages: An Ontological Approach for Scientific Digital Libraries.
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004
WebGIS-RBDL - A Rare Book Digital Library Supporting Spatio-Temporary Retrieval.
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004
Metadata Extraction from Bibliographies Using Bigram HMM.
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004
A Comparative Study on Feature Weight in Text Categorization.
Proceedings of the Advanced Web Technologies and Applications, 2004
2003
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003
2002
Two Odds-Radio-Based Text Classification Algorithms.
Proceedings of the 3rd International Conference on Web Information Systems Engineering Workshops, 2002
Exploring Spatial-Temporal Information in Digital Library.
Proceedings of the New Developments in Digital Libraries, 2002
A Linear Text Classification Algorithm Based on Category Relevance Factors.
Proceedings of the Digital Libraries: People, 2002