Acquiring and modeling abstract commonsense knowledge via conceptualization

Deep learning analysis of smart meter data from a small sample of room air conditioners facilitates routine assessment of their operational efficiency

ABSPYRAMID: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations

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

New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends

On-the-fly Denoising for Data Augmentation in Natural Language Understanding

Privacy-Preserved Neural Graph Databases

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors

Understanding Inter-Session Intentions via Complex Logical Reasoning

User Consented Federated Recommender System Against Personalized Attribute Inference Attack

BEKG: A built environment knowledge graph

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery

Global Constraints with Prompting for Zero-Shot Event Argument Classification

GOLD: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection

Implicit Query Parsing at Amazon Product Search

Independent Distribution Regularization for Private Graph Embedding

KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification

KnowComp Submission for WMT23 Sign Language Translation Task

KnowComp Submission for WMT23 Word-Level AutoCompletion Task

Knowledge Graph Reasoning over Entities and Numerical Values

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs

Logical Message Passing Networks with One-hop Inference on Atomic Formulas

Multi-step Jailbreaking Privacy Attacks on ChatGPT

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering

Self-Consistent Narrative Prompts on Abductive Natural Language Inference

Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities

BiGCN: A bi-directional low-pass filtering graph neural network

KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation

Logical Queries on Knowledge Graphs: Emerging Interface of Incomplete Relational Data

VD-PCR: Improving visual dialog with pronoun coreference resolution

An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

Boosting Graph Structure Learning with Dummy Nodes

CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform

Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

Multilingual Word Sense Disambiguation with Unified Sense Representation

PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

Query2Particles: Knowledge Graph Reasoning with Particle Embeddings

Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller

Weakly Supervised Text Classification using Supervision Signals from a Language Model

You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas

Ranking Users in Social Networks with Motif-Based PageRank

RWNE: A scalable random-walk-based network embedding framework with personalized higher-order proximity preserved

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Social explorative attention based recommendation for content distribution platforms

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks

A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset

Differentially Private Federated Knowledge Graphs Embedding

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge

Exophoric Pronoun Resolution in Dialogues with Topic Regularization

Exploring Discourse Structures for Argument Impact Classification

Fair Representation Learning for Heterogeneous Information Networks

Joint Coreference Resolution and Character Linking for Multiparty Conversation

Learning Contextual Causality between Daily Events from Time-Consecutive Images

Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning

Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks

Probing Toxic Content in Large Pre-trained Language Models

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation

Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model

Variational Weakly Supervised Sentiment Analysis with Posterior Regularization

Event detection and evolution in multi-lingual social streams

Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing

Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction

A Chinese corpus for fine-grained entity typing

Analogous Process Structure Induction for Sub-event Sequence Prediction

ASER: A Large-scale Eventuality Knowledge Graph

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets

Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations

Exploiting Semantic Relations for Fine-grained Entity Typing

Fisher Deep Domain Adaptation

Neural Subgraph Isomorphism Counting

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network

Recent Advances on Graph Analytics and Its Applications in Healthcare

TransOMCS: From Linguistic Graphs to Commonsense Knowledge

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

Vertex-reinforced Random Walk for Network Embedding

When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models

Toward Any-language Zero-shot Topic Classification of Textual Documents

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction

CogcompnLP: Your Swiss army knife for NLP

Efficient Path Prediction for Semi-supervised and Weakly Supervised Hierarchical Text Classification

Fine-grained Event Categorization With Heterogeneous Graph Convolutional Networks

HetespaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding

Hyper-Path-Based Representation Learning for Hyper-Networks

Improving Fine-grained Entity Typing with Entity Linking

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Knowledge-aware Pronoun Coreference Resolution

Motif Enhanced Recommendation Over Heterogeneous Information Network

Multilingual and Multi-Aspect Hate Speech Analysis

Multiplex Word Embeddings for Selectional Preference Acquisition

Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision

Relation Discovery with Out-of-Relation Knowledge Base as Supervision

SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

Illinois CCG LoReHLT 2016 Named Entity Recognition And Situation Frame Systems

Unsupervised Meta-path Selection for Text Similarity Measure Based on Heterogeneous Information Networks

A Distributed Solution for Winograd Schema Challenge

Biased random walk based social regularization for word embeddings

Capture Commonsense Knowledge for Sentiment Analysis

Entity Linking within a Social Media Platform: A Case Study on Yelp

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

Make Evasion Harder: An Intelligent Android Malware Detection System

MetaGAN: An Adversarial Approach to Few-Shot Learning

Ranking Users in Social Networks with Higher-Order Structures

Scalable Multiplex Network Embedding

Time-evolving Text Classification With Deep Neural Networks

Training and evaluating improved dependency-based word embeddings

What construction topics do they discuss in social media? A case study of weibo in China

Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing

Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition

Cross-lingual Dataless Classification for Many Languages

Distant Meta-path Similarities for Text-based Heterogeneous Information Networks

Document-level Multi-aspect Sentiment Classification as Machine Comprehension

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network

Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

KBQA: Learning question answering over QA corpora and knowledge bases

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings

Semi-supervised Learning Over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks

Socialized Word Embeddings

Understanding Hidden Memories of Recurrent Neural Networks

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-modal Similarity Search

Microblog Sentiment Classification with Heterogeneous Sentiment Knowledge

Structured microblog sentiment classification via social context regularization

The Stability and Usability of Statistical Topic Models

Towards Building a High-quality Microblog-specific Chinese Sentiment Lexicon

World Knowledge as Indirect Supervision for Document Clustering

Event Detection and Co-reference with Minimal Supervision

Improving Topic Model Stability for Effective Document Exploration

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks

Text classification with heterogeneous information network kernels

Tracking Idea Flows between Social Groups

Word Embeddings with Limited Memory

Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees

Does Summarization Help Stock Prediction? A News Impact Analysis

Evolutionary Bayesian Rose Trees

Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews

Constrained Information-theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems

Improving a Pipeline Architecture for Shallow Discourse Parsing

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks

Knowsim: A Document Similarity Measure on Structured Heterogeneous Information Networks

Microblog Sentiment Classification with Contextual Knowledge Regularization

Open Domain Short Text Conceptualization: A Generative+ Descriptive Modeling Approach

Semantic-based Recommendation across Heterogeneous Domains

Transitive Transfer Learning

Unsupervised Sparse Vector Densification for Short Text Similarity

User-directed Non-disruptive Topic Model Update for Effective Exploration of Dynamic Content

Brief Survey of Crowdsourcing for Data Mining

Semantic Multi-Dimensional Scaling for Open-Domain Sentiment Analysis

Semiparametric preference learning

On Dataless Hierarchical Text Classification

Overview of UI-CCG Systems for Event Argument Extraction, Entity Discovery and Linking, and Slot Filler Validation

Scalable heterogeneous translated hashing

Tag propagation based recommendation across diverse social media

Transfer Understanding from Head Queries to Tail Queries

Constrained text coclustering with supervised and unsupervised constraints

Collaborative Boosting for Activity Classification in Microblogs

Identifying Users’ Topical Tasks in Web Search

Lead-lag Analysis via Sparse Co-projection in Correlated Text Streams

Mining Evolutionary Multi-Branch Trees from Text Streams

Optimizing Temporal Topic Segmentation for Intelligent Text Visualization

A Survey on Topic-Based Visual Text Analytics (In Chinese)

ImageHive: Interactive content-aware image summarization

TIARA: Interactive, Topic-based Visual Text Summarization and Analysis

Automatic Taxonomy Construction from Keywords

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection

Large-scale Spectral Clustering with MapReduce and MPI

Parallel Spectral Clustering in Distributed Systems

A Common and Common Sense Knowledge Base for Opinion Mining

Short Text Conceptualization using a Probabilistic Knowledgebase

Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes

Boosting with Pairwise Constraints

Constrained Co-clustering for Textual Documents

Evolutionary hierarchical Dirichlet processes for multiple correlated time-varying corpora

Homotopy Regularization for Boosting

Tag Propagation Based Recommendation across Diverse Social Media

TIARA: A Visual Exploratory Text Analytic System

Extracting the Optimal Dimensionality for Local Tensor Discriminant Analysis

Nonlinear Dimensionality Reduction with Relative Distance Comparison

Orthogonal Locality Minimizing Globality Maximizing Projections for Feature Extraction

Semi-Supervised Discriminative Classification with Application to Tumorous Tissues Segmentation of MR Brain Images

Efficient active learning with boosting

Knowledge transfer on hybrid graph

On-line Evolutionary Exponential Family Mixture

Topic and Keyword Re-ranking for LDA-based Topic Modeling

A unified framework for semi-supervised dimensionality reduction

Content Based Information Fusion for Semi-Supervised Music Genre Classification

Contour Graph Based Human Tracking and Action Sequence Recognition

Semi-supervised Gaussian random field transduction and induction

Semi-Supervised Sub-Manifold Discriminant Analysis

Active Model Selection in Graph-Based Semi-Supervised Learning

Cost Sensitive Boosting Algorithms as Gradient Descent

Parallel Spectral Clustering

Parallel Spectral Clustering Algorithm forLarge-Scale Community Data Mining

Semi-Supervised Dimensionality Reduction for Image Retrieval

Semi-Supervised Multi-label Learning by Solving a Sylvester Equation

Semi-supervised Ranking Aggregation

Transferred Dimensionality Reduction

Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution

A Supervised Method to Chart Multiple Manifolds

Embedding New Data Points for Manifold Learning via Coordinate Propagation

Extracting the Optimal Dimensionality for Discriminant Analysis

Localized Content-Based Image Retrieval using Semi-Supervised Multiple Instance Learning

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition

Ranking with Semi-Supervised Distance Metric Learning and Its Application to Housing Potential Estimation

Semi-Supervised Music Genre Classification

A Discriminative Method for Semi-Automated Tumorous Tissues Segmentation of MR Brain Images

Graph Based Multi-Class Semi-Supervised Learning using Gaussian Process

New Boosting Methods of Gaussian Processes for Regression

Illinois CCG LoReHLT 2016 Named Entity Recognition And Situation Frame Systems

Article

Unsupervised Meta-path Selection for Text Similarity Measure Based on Heterogeneous Information Networks

Article

A Distributed Solution for Winograd Schema Challenge

Conference paper

Biased random walk based social regularization for word embeddings

Conference paper

Capture Commonsense Knowledge for Sentiment Analysis

Conference paper

Entity Linking within a Social Media Platform: A Case Study on Yelp

Conference paper

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

Conference paper

Make Evasion Harder: An Intelligent Android Malware Detection System

Conference paper

MetaGAN: An Adversarial Approach to Few-Shot Learning

Conference paper

Ranking Users in Social Networks with Higher-Order Structures

Conference paper

Scalable Multiplex Network Embedding

Conference paper

Time-evolving Text Classification With Deep Neural Networks

Conference paper

Training and evaluating improved dependency-based word embeddings

Conference paper

What construction topics do they discuss in social media? A case study of weibo in China

Conference paper

Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing

Article

Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition

Conference paper

Cross-lingual Dataless Classification for Many Languages

Conference paper

Distant Meta-path Similarities for Text-based Heterogeneous Information Networks

Conference paper

Document-level Multi-aspect Sentiment Classification as Machine Comprehension

Conference paper

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network

Conference paper

Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition

Conference paper

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models

Conference paper

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Conference paper

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Conference paper

KBQA: Learning question answering over QA corpora and knowledge bases

Conference paper

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

Conference paper

Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings

Conference paper

Semi-supervised Learning Over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks

Conference paper

Socialized Word Embeddings

Conference paper

Understanding Hidden Memories of Recurrent Neural Networks

Conference paper

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-modal Similarity Search

Article

Microblog Sentiment Classification with Heterogeneous Sentiment Knowledge

Article

Structured microblog sentiment classification via social context regularization

Article

The Stability and Usability of Statistical Topic Models

Article

Towards Building a High-quality Microblog-specific Chinese Sentiment Lexicon

Article

World Knowledge as Indirect Supervision for Document Clustering

Article

Event Detection and Co-reference with Minimal Supervision

Conference paper

Improving Topic Model Stability for Effective Document Exploration

Conference paper

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning

Conference paper

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks

Conference paper

Text classification with heterogeneous information network kernels

Conference paper

Tracking Idea Flows between Social Groups

Conference paper

Word Embeddings with Limited Memory

Conference paper

Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees

Article

Does Summarization Help Stock Prediction? A News Impact Analysis

Article

Evolutionary Bayesian Rose Trees

Article

Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews

Conference paper

Constrained Information-theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations

Conference paper

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems

Conference paper

Improving a Pipeline Architecture for Shallow Discourse Parsing

Conference paper

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks

Conference paper

Knowsim: A Document Similarity Measure on Structured Heterogeneous Information Networks

Conference paper

Microblog Sentiment Classification with Contextual Knowledge Regularization

Conference paper

Open Domain Short Text Conceptualization: A Generative+ Descriptive Modeling Approach

Conference paper

Semantic-based Recommendation across Heterogeneous Domains

Conference paper

Transitive Transfer Learning

Conference paper

Unsupervised Sparse Vector Densification for Short Text Similarity

Conference paper

User-directed Non-disruptive Topic Model Update for Effective Exploration of Dynamic Content

Conference paper

Brief Survey of Crowdsourcing for Data Mining

Article

Semantic Multi-Dimensional Scaling for Open-Domain Sentiment Analysis

Article

Semiparametric preference learning

Article

On Dataless Hierarchical Text Classification

Conference paper

Overview of UI-CCG Systems for Event Argument Extraction, Entity Discovery and Linking, and Slot Filler Validation

Conference paper

Scalable heterogeneous translated hashing

Conference paper

Tag propagation based recommendation across diverse social media

Conference paper

Transfer Understanding from Head Queries to Tail Queries

Conference paper

Constrained text coclustering with supervised and unsupervised constraints

Article

Collaborative Boosting for Activity Classification in Microblogs

Conference paper

Identifying Users’ Topical Tasks in Web Search

Conference paper

Lead-lag Analysis via Sparse Co-projection in Correlated Text Streams

Conference paper

Mining Evolutionary Multi-Branch Trees from Text Streams

Conference paper

Optimizing Temporal Topic Segmentation for Intelligent Text Visualization

Conference paper

A Survey on Topic-Based Visual Text Analytics (In Chinese)

Article

ImageHive: Interactive content-aware image summarization

Article

TIARA: Interactive, Topic-based Visual Text Summarization and Analysis

Article

Automatic Taxonomy Construction from Keywords

Conference paper

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection

Conference paper

Large-scale Spectral Clustering with MapReduce and MPI

Article

Parallel Spectral Clustering in Distributed Systems

Article

A Common and Common Sense Knowledge Base for Opinion Mining

Conference paper

Short Text Conceptualization using a Probabilistic Knowledgebase

Conference paper

Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes

Conference paper

Boosting with Pairwise Constraints

Article

Constrained Co-clustering for Textual Documents

Conference paper

Evolutionary hierarchical Dirichlet processes for multiple correlated time-varying corpora

Conference paper

Homotopy Regularization for Boosting

Conference paper

Tag Propagation Based Recommendation across Diverse Social Media

Conference paper

TIARA: A Visual Exploratory Text Analytic System

Conference paper

Extracting the Optimal Dimensionality for Local Tensor Discriminant Analysis

Article

Nonlinear Dimensionality Reduction with Relative Distance Comparison

Article

Orthogonal Locality Minimizing Globality Maximizing Projections for Feature Extraction

Article

Semi-Supervised Discriminative Classification with Application to Tumorous Tissues Segmentation of MR Brain Images

Article

Efficient active learning with boosting

Conference paper

Knowledge transfer on hybrid graph

Conference paper

On-line Evolutionary Exponential Family Mixture

Conference paper

Topic and Keyword Re-ranking for LDA-based Topic Modeling

Conference paper

A unified framework for semi-supervised dimensionality reduction

Article

Content Based Information Fusion for Semi-Supervised Music Genre Classification

Article

Contour Graph Based Human Tracking and Action Sequence Recognition

Article

Semi-supervised Gaussian random field transduction and induction

Article

Semi-Supervised Sub-Manifold Discriminant Analysis

Article

Active Model Selection in Graph-Based Semi-Supervised Learning

Conference paper

Cost Sensitive Boosting Algorithms as Gradient Descent

Conference paper

Parallel Spectral Clustering

Conference paper

Parallel Spectral Clustering Algorithm forLarge-Scale Community Data Mining

Conference paper

Semi-Supervised Dimensionality Reduction for Image Retrieval

Conference paper

Semi-Supervised Multi-label Learning by Solving a Sylvester Equation

Conference paper

Semi-supervised Ranking Aggregation

Conference paper

Transferred Dimensionality Reduction

Conference paper

Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution

Article

A Supervised Method to Chart Multiple Manifolds

Conference paper

Embedding New Data Points for Manifold Learning via Coordinate Propagation

Conference paper

Extracting the Optimal Dimensionality for Discriminant Analysis

Conference paper

Localized Content-Based Image Retrieval using Semi-Supervised Multiple Instance Learning

Conference paper

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition

Conference paper

Ranking with Semi-Supervised Distance Metric Learning and Its Application to Housing Potential Estimation

Conference paper

Semi-Supervised Music Genre Classification

Conference paper

A Discriminative Method for Semi-Automated Tumorous Tissues Segmentation of MR Brain Images

Conference paper

Graph Based Multi-Class Semi-Supervised Learning using Gaussian Process

Conference paper

New Boosting Methods of Gaussian Processes for Regression

Conference paper