Yangqiu Song

According to our database1, Yangqiu Song authored at least 260 papers between 2006 and 2024.

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Bibliography

2024
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation.
CoRR, 2024

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion.
CoRR, 2024

PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs.
CoRR, 2024

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases.
CoRR, 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
CoRR, 2024

2023
Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2023

User Consented Federated Recommender System Against Personalized Attribute Inference Attack.
CoRR, 2023

Abductive Logical Reasoning on Knowledge Graphs.
CoRR, 2023

Privacy-Preserving Neural Graph Databases.
CoRR, 2023

Understanding Inter-Session Intentions via Complex Logical Reasoning.
CoRR, 2023

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.
CoRR, 2023

On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts.
CoRR, 2023

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.
CoRR, 2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.
CoRR, 2023

Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation.
CoRR, 2023

Privacy in Large Language Models: Attacks, Defenses and Future Directions.
CoRR, 2023

Self-Consistent Narrative Prompts on Abductive Natural Language Inference.
CoRR, 2023

EFO<sub>k</sub>-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation.
CoRR, 2023

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.
CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.
CoRR, 2023

CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population.
CoRR, 2023

On Existential First Order Queries Inference on Knowledge Graphs.
CoRR, 2023

Multi-step Jailbreaking Privacy Attacks on ChatGPT.
CoRR, 2023

Sequential Query Encoding For Complex Query Answering on Knowledge Graphs.
CoRR, 2023

KnowComp Submission for WMT23 Sign Language Translation Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

KnowComp Submission for WMT23 Word-Level AutoCompletion Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Implicit Query Parsing at Amazon Product Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Graph Reasoning over Entities and Numerical Values.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Logical Message Passing Networks with One-hop Inference on Atomic Formulas.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-step Jailbreaking Privacy Attacks on ChatGPT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Global Constraints with Prompting for Zero-Shot Event Argument Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Independent Distribution Regularization for Private Graph Embedding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining.
Proceedings of the 10th Workshop on Argument Mining, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation.
IEEE Trans. Vis. Comput. Graph., 2022

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022

VD-PCR: Improving visual dialog with pronoun coreference resolution.
Pattern Recognit., 2022

Logical Queries on Knowledge Graphs: Emerging Interface of Incomplete Relational Data.
IEEE Data Eng. Bull., 2022

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.
CoRR, 2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR, 2022

BEKG: A Built Environment Knowledge Graph.
CoRR, 2022

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia.
CoRR, 2022

Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization.
CoRR, 2022

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.
Artif. Intell., 2022

Weakly Supervised Text Classification using Supervision Signals from a Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Query2Particles: Knowledge Graph Reasoning with Particle Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Boosting Graph Structure Learning with Dummy Nodes.
Proceedings of the International Conference on Machine Learning, 2022

An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Word Sense Disambiguation with Unified Sense Representation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Ranking Users in Social Networks with Motif-Based PageRank.
IEEE Trans. Knowl. Data Eng., 2021

Side Information Fusion for Recommender Systems over Heterogeneous Information Network.
ACM Trans. Knowl. Discov. Data, 2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2021

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
J. Artif. Intell. Res., 2021

Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing.
Frontiers Comput. Sci., 2021

Social explorative attention based recommendation for content distribution platforms.
Data Min. Knowl. Discov., 2021

Federated Knowledge Graphs Embedding.
CoRR, 2021

Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space.
CoRR, 2021

Wasserstein diffusion on graphs with missing attributes.
CoRR, 2021

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network.
CoRR, 2021

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fair Representation Learning for Heterogeneous Information Networks.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Exophoric Pronoun Resolution in Dialogues with Topic Regularization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Variational Weakly Supervised Sentiment Analysis with Posterior Regularization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Joint Coreference Resolution and Character Linking for Multiparty Conversation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Learning Contextual Causality Between Daily Events From Time-Consecutive Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Differentially Private Federated Knowledge Graphs Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Probing Toxic Content in Large Pre-Trained Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Discourse Structures for Argument Impact Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction.
ACM Trans. Interact. Intell. Syst., 2020

Event detection and evolution in multi-lingual social streams.
Frontiers Comput. Sci., 2020

CoCoLM: COmplex COmmonsense Enhanced Language Model.
CoRR, 2020

Learning Contextual Causality from Time-consecutive Images.
CoRR, 2020

A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution.
CoRR, 2020

A Variational Approach to Unsupervised Sentiment Analysis.
CoRR, 2020

SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems.
CoRR, 2020

On the Role of Conceptualization in Commonsense Knowledge Graph Construction.
CoRR, 2020

ASER: A Large-scale Eventuality Knowledge Graph.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fisher Deep Domain Adaptation.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Vertex-reinforced Random Walk for Network Embedding.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

A Chinese Corpus for Fine-grained Entity Typing.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances on Graph Analytics and Its Applications in Healthcare.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Neural Subgraph Isomorphism Counting.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TransOMCS: From Linguistic Graphs to Commonsense Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Analogous Process Structure Induction for Sub-event Sequence Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Exploiting Semantic Relations for Fine-grained Entity Typing.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Neural Subgraph Isomorphism Counting.
CoRR, 2019

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
CoRR, 2019

Toward any-language zero-shot topic classification of textual documents.
Artif. Intell., 2019

Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification.
Proceedings of the World Wide Web Conference, 2019

Incorporating Context and External Knowledge for Pronoun Coreference Resolution.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Relation Discovery with Out-of-Relation Knowledge Base as Supervision.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multiplex Word Embeddings for Selectional Preference Acquisition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual and Multi-Aspect Hate Speech Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Fine-grained Entity Typing with Entity Linking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Motif Enhanced Recommendation over Heterogeneous Information Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Hyper-Path-Based Representation Learning for Hyper-Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge-aware Pronoun Coreference Resolution.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems.
Mach. Transl., 2018

Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.
Data Min. Knowl. Discov., 2018

Learning with Heterogeneous Side Information Fusion for Recommender Systems.
CoRR, 2018

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MetaGAN: An Adversarial Approach to Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


Scalable Multiplex Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Biased Random Walk based Social Regularization for Word Embeddings.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Make Evasion Harder: An Intelligent Android Malware Detection System.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Time-evolving Text Classification with Deep Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Distributed Solution for Winograd Schema Challenge.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

Entity Linking within a Social Media Platform: A Case Study on Yelp.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Capture Commonsense Knowledge for Sentiment Analysis.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Ranking Users in Social Networks With Higher-Order Structures.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Training and Evaluating Improved Dependency-Based Word Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases.
Proc. VLDB Endow., 2017

Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing.
IEEE Internet Things J., 2017

Machine Learning with World Knowledge: The Position and Survey.
CoRR, 2017

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing.
CoRR, 2017

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.
CoRR, 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

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 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

Understanding Hidden Memories of Recurrent Neural Networks.
Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search.
ACM Trans. Knowl. Discov. Data, 2016

World Knowledge as Indirect Supervision for Document Clustering.
ACM Trans. Knowl. Discov. Data, 2016

The Stability and Usability of Statistical Topic Models.
ACM Trans. Interact. Intell. Syst., 2016

Microblog sentiment classification with heterogeneous sentiment knowledge.
Inf. Sci., 2016

Structured microblog sentiment classification via social context regularization.
Neurocomputing, 2016

Towards building a high-quality microblog-specific Chinese sentiment lexicon.
Decis. Support Syst., 2016

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence.
CoRR, 2016

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Improving Topic Model Stability for Effective Document Exploration.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Cross-Lingual Dataless Classification for Many Languages.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Event Detection and Co-reference with Minimal Supervision.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Word Embeddings with Limited Memory.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Tracking Idea Flows between Social Groups.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Text Classification with Heterogeneous Information Network Kernels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees.
IEEE Trans. Knowl. Data Eng., 2015

Evolutionary Bayesian Rose Trees.
IEEE Trans. Knowl. Data Eng., 2015

Does Summarization Help Stock Prediction? A News Impact Analysis.
IEEE Intell. Syst., 2015

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems.
Proceedings of the 2015 Text Analysis Conference, 2015

Unsupervised Sparse Vector Densification for Short Text Similarity.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 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

Transitive Transfer Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic-Based Recommendation Across Heterogeneous Domains.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Improving a Pipeline Architecture for Shallow Discourse Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015

Microblog Sentiment Classification with Contextual Knowledge Regularization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis.
IEEE Intell. Syst., 2014

Brief survey of crowdsourcing for data mining.
Expert Syst. Appl., 2014

Tag propagation based recommendation across diverse social media.
Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable heterogeneous translated hashing.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Transfer Understanding from Head Queries to Tail Queries.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

On Dataless Hierarchical Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Constrained Text Coclustering with Supervised and Unsupervised Constraints.
IEEE Trans. Knowl. Data Eng., 2013

Identifying users' topical tasks in web search.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Mining evolutionary multi-branch trees from text streams.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Collaborative boosting for activity classification in microblogs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Optimizing temporal topic segmentation for intelligent text visualization.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Lead-lag analysis via sparse co-projection in correlated text streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis.
ACM Trans. Intell. Syst. Technol., 2012

ImageHive: Interactive Content-Aware Image Summarization.
IEEE Computer Graphics and Applications, 2012

Automatic taxonomy construction from keywords.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
TextFlow: Towards Better Understanding of Evolving Topics in Text.
IEEE Trans. Vis. Comput. Graph., 2011

Parallel Spectral Clustering in Distributed Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Semi-supervised ranking aggregation.
Inf. Process. Manag., 2011

Short Text Conceptualization Using a Probabilistic Knowledgebase.
Proceedings of the IJCAI 2011, 2011

Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Isanette: A Common and Common Sense Knowledge Base for Opinion Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Boosting with pairwise constraints.
Neurocomputing, 2010

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

TIARA: a visual exploratory text analytic system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Homotopy Regularization for Boosting.
Proceedings of the ICDM 2010, 2010

Constrained Coclustering for Textual Documents.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Extracting the optimal dimensionality for local tensor discriminant analysis.
Pattern Recognit., 2009

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images.
Pattern Anal. Appl., 2009

Embedding new data points for manifold learning via coordinate propagation.
Knowl. Inf. Syst., 2009

Nonlinear dimensionality reduction with relative distance comparison.
Neurocomputing, 2009

Efficient Active Learning with Boosting.
Proceedings of the SIAM International Conference on Data Mining, 2009

On-line Evolutionary Exponential Family Mixture.
Proceedings of the IJCAI 2009, 2009

Knowledge Transfer on Hybrid Graph.
Proceedings of the IJCAI 2009, 2009

Topic and keyword re-ranking for LDA-based topic modeling.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Content-Based Information Fusion for Semi-Supervised Music Genre Classification.
IEEE Trans. Multim., 2008

Semi-supervised sub-manifold discriminant analysis.
Pattern Recognit. Lett., 2008

Contour graph based human tracking and action sequence recognition.
Pattern Recognit., 2008

A unified framework for semi-supervised dimensionality reduction.
Pattern Recognit., 2008

Semi-supervised Multi-label Learning by Solving a Sylvester Equation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Transferred Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Parallel Spectral Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Active model selection for Graph-Based Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2008

Cost-sensitive boosting algorithms as gradient descent.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Semi-Supervised Music Genre Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Extracting the Optimal Dimensionality for Discriminant Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Ranking with semi-supervised distance metric learning and its application to housing potential estimation.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning.
Proceedings of the Computer Vision, 2007

2006
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process.
Proceedings of the Structural, 2006

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006


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