Shou-De Lin

Affiliations:
  • National Taiwan University


According to our database1, Shou-De Lin authored at least 159 papers between 2001 and 2022.

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Bibliography

2022
Toward more generalized Malicious URL Detection Models.
CoRR, 2022

Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network.
CoRR, 2022

SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Deep Energy Factorization Model for Demographic Prediction.
ACM Trans. Intell. Syst. Technol., 2021

Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A joint optimization framework for better community detection based on link prediction in social networks.
Knowl. Inf. Syst., 2020

Explaining Word Embeddings via Disentangled Representation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS).
Proceedings of the IEEE International Conference on Image Processing, 2020

Explainable and Sparse Representations of Academic Articles for Knowledge Exploration.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Unseen Filler Generalization In Attention-based Natural Language Reasoning Models.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Towards a more reliable privacy-preserving recommender system.
Inf. Sci., 2019

Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification.
Frontiers Big Data, 2019

DeepRank: improving unsupervised node ranking via link discovery.
Data Min. Knowl. Discov., 2019

MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes.
Proceedings of the World Wide Web Conference, 2019

A-HA: a hybrid approach for hotel recommendation.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Evaluating Image-Inspired Poetry Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Self-Discriminative Learning for Unsupervised Document Embedding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement.
Proceedings of the 36th International Conference on Machine Learning, 2019

Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions.
Proceedings of the 9th International Conference on Digital Public Health, 2019

Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Dynamic Gallery for Real-Time Multi-Target Multi-Camera Tracking.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Online Linear Optimization with Sparsity Constraints.
Proceedings of the Algorithmic Learning Theory, 2019

2018
Opinion Diffusion and Analysis on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

A General Framework for Implicit and Explicit Social Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure.
IEEE Trans. Comput. Soc. Syst., 2018

Attribute-aware Collaborative Filtering: Survey and Classification.
CoRR, 2018

ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models.
CoRR, 2018

A Memory-Network Based Solution for Multivariate Time-Series Forecasting.
CoRR, 2018

WSDM Cup 2018: Music Recommendation and Churn Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

An Empirical Study of Ladder Network and Multitask Learning on Energy Disaggregation in Taiwan.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

How Sampling Rate Affects Cross-Domain Transfer Learning for Video Description.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Unsupervised Ranking using Graph Structures and Node Attributes.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A Classification Model for Diverse and Noisy Labelers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

PRUNE: Preserving Proximity and Global Ranking for Network Embedding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Latent Feature Lasso.
Proceedings of the 34th International Conference on Machine Learning, 2017

Ensemble-Based Location Tracking Using Passive RFID.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Enriching Cold Start Personalized Language Model Using Social Network Information.
Int. J. Comput. Linguistics Chin. Lang. Process., 2016

Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization.
CoRR, 2016

Transfer learning for sequential recommendation model.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Transfer-Learning Based Model for Reciprocal Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Efficient Sampling-Based ADMM for Distributed Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Parallel Least-Squares Policy Iteration.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
On team formation with expertise query in collaborative social networks.
Knowl. Inf. Syst., 2015

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res., 2015

Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Dual Augmented Block Minimization Framework for Learning with Limited Memory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Inferring Air Quality for Station Location Recommendation Based on Urban Big Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Identifying smallest unique subgraphs in a heterogeneous social network.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Recommending missing sensor values.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Novel Topic Diffusion Prediction using Latent Semantic and User Behavior.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification.
IEEE Trans. Knowl. Data Eng., 2014

Measuring and Recommending Time-Sensitive Routes from Location-Based Data.
ACM Trans. Intell. Syst. Technol., 2014

Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res., 2014

Connected vehicle safety science, system, and framework.
Proceedings of the IEEE World Forum on Internet of Things, 2014

Communication-efficient multi-view keyframe extraction in distributed video sensors.
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014

A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

A Weight-Sharing Gaussian Process Model Using Web-Based Information for Audience Rating Prediction.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

Fairness-Aware Loan Recommendation for Microfinance Services.
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04, 2014

A Content-Based Matrix Factorization Model for Recipe Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Matching users and items across domains to improve the recommendation quality.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Predict Scooter's Stopping Event Using Smartphone as the Sensing Device.
Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Robust Inverse Covariance Estimation under Noisy Measurements.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Neural Conditional Energy Models for Multi-label Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Trip Router: A Time-Sensitive Route Recommender System.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Minimizing expected loss for risk-avoiding reinforcement learning.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Optimizing specificity under perfect sensitivity for medical data classification.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Exploiting rank-learning models to predict the diffusion of preferences on social networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
A modified random walk framework for handling negative ratings and generating explanations.
ACM Trans. Intell. Syst. Technol., 2013

Mining and generating large-scaled social networks via MapReduce.
Soc. Netw. Anal. Min., 2013

Modeling and evaluating information propagation in a microblogging social network.
Soc. Netw. Anal. Min., 2013

What distinguish one from its peers in social networks?
Data Min. Knowl. Discov., 2013

Semantically sampling in heterogeneous social networks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Modeling the Diffusion of Preferences on Social Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An Unsupervised Learning Model to Perform Side Channel Attack.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Indexed block coordinate descent for large-scale linear classification with limited memory.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Unsupervised link prediction using aggregative statistics on heterogeneous social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization.
Proceedings of the IJCAI 2013, 2013

Sampling Heterogeneous Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Time-Sensitive Route Planning Using Location-Based Data.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
A social network evolution model based on seniority.
Soc. Netw. Anal. Min., 2012

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

A Ranking-based KNN Approach for Multi-Label Classification.
Proceedings of the 4th Asian Conference on Machine Learning, 2012


Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction.
Int. J. Comput. Linguistics Chin. Lang. Process., 2012

Regional subgraph discovery in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Dynamic selection of activation targets to boost the influence spread in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Influence propagation and maximization for heterogeneous social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Finding influential seed successors in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

TripRec: recommending trip routes from large scale check-in data.
Proceedings of the 21st World Wide Web Conference, 2012

Frequent temporal social behavior search in information networks.
Proceedings of the 21st World Wide Web Conference, 2012

A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory.
Proceedings of the 2012 International Conference on Privacy, 2012

Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks.
Proceedings of the 2012 International Conference on Privacy, 2012

Learning-based time-sensitive re-ranking for web search.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

CrowDiffuse: information diffusion over crowds with social network.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2012

利用機器學習於中文法律文件之標記、案件分類及量刑預測 (Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction) [In Chinese].
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, 2012

EvaPlanner: an evacuation planner with social-based flocking kinetics.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exploiting large-scale check-in data to recommend time-sensitive routes.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Generalized k-labelset ensemble for multi-label classification.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Prediction-based outlier detection with explanations.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

On the effectiveness of using state-of-the-art machine learning techniques to launch cryptographic distinguishing attacks.
Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

Exploiting and Evaluating MapReduce for Large-Scale Graph Mining.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Online Plagiarized Detection Through Exploiting Lexical, Syntax, and Semantic Information.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval.
IEEE Trans. Multim., 2011

Learning-based concept-hierarchy refinement through exploiting topology, content and social information.
Inf. Sci., 2011

Finding influential mediators in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Exploiting endorsement information and social influence for item recommendation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Audio Tag Annotation and Retrieval Using Tag Count Information.
Proceedings of the Advances in Multimedia Modeling, 2011

PhotoFeel: feeling your photo collection with graph-based audiovisual flocking.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Time-Aware Ranking in Dynamic Citation Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Cost-sensitive stacking for audio tag annotation and retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2011

Context-based people search in labeled social networks.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Modeling and Visualizing Information Propagation in a Micro-blogging Platform.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

IMASS: An Intelligent Microblog Analysis and Summarization System.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Mining Heterogeneous Social Networks for Egocentric Information Abstraction.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

Discovering Correction Rules for Auto Editing.
Int. J. Comput. Linguistics Chin. Lang. Process., 2010

Pusic: musicalize microblog messages for summarization and exploration.
Proceedings of the 19th International Conference on World Wide Web, 2010

Communication Structure Discovery via Information Asymmetry in an Organizational Social Network.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

SocioCrowd: a social-network-based framework for crowd simulation.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

Identifying Correction Rules for Auto Editing.
Proceedings of the 22th Conference on Computational Linguistics and Speech Processing, 2010

What Can the Temporal Social Behavior Tell Us? An Estimation of Vertex-Betweenness Using Dynamic Social Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Designing, Analyzing and Exploiting Stake-Based Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Egocentric Information Abstraction for Heterogeneous Social Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Discovering and Explaining Abnormal Nodes in Semantic Graphs.
IEEE Trans. Knowl. Data Eng., 2008

Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method.
SIGKDD Explor., 2008

A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2008

2006
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script.
Artif. Intell., 2006

2005
SERGEANT: A framework for building more flexible web agents by exploiting a search engine.
Web Intell. Agent Syst., 2005

2004
Interesting Instance Discovery in Multi-Relational Data.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset.
SIGKDD Explor., 2003

Exploiting a Search Engine to Develop More Flexible Web Agents.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001
Designing the Market Game for a Trading Agent Competition.
IEEE Internet Comput., 2001


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