Shou-de Lin

Shou-De Lin, Wan-Chen Lu, Jing-Kai Lou, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

A Content-Based Matrix Factorization Model for Recipe Recommendation

Shou-De Lin, Tsung-Ting Kuo, Chia-Jen Lin, 2014, PAKDD.

LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda

Shou-De Lin, Guang-He Lee, Shou-de Lin, 2015, 2015 IEEE International Conference on Data Mining.

Modeling and evaluating information propagation in a microblogging social network

Shou-De Lin, Cheng-Te Li, San-Chuan Hung, 2012, Social Network Analysis and Mining.

Matching users and items across domains to improve the recommendation quality

Shou-De Lin, Chung-Yi Li, Shou-de Lin, 2014, KDD.

A Ranking-based KNN Approach for Multi-Label Classification

Shou-De Lin, Hung-Yi Lo, Tsung-Hsien Chiang, 2012, ACML.

Deep Energy Factorization Model for Demographic Prediction

Shou-De Lin, Chih-Te Lai, Cheng-Te Li, 2020, ACM Trans. Intell. Syst. Technol..

Neural Conditional Energy Models for Multi-label Classification

Shou-De Lin, How Jing, Shou-de Lin, 2014, 2014 IEEE International Conference on Data Mining.

Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification

Shou-De Lin, Hsin-Min Wang, Hung-Yi Lo, 2014, IEEE Transactions on Knowledge and Data Engineering.

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Measuring and Recommending Time-Sensitive Routes from Location-Based Data

Shou-De Lin, Cheng-Te Li, Hsun-Ping Hsieh, 2014, TIST.

Transfer-Learning Based Model for Reciprocal Recommendation

Shou-De Lin, Hung-Yi Lo, Chia-Hsin Ting, 2016, PAKDD.

Unsupervised Ranking using Graph Structures and Node Attributes

Shou-De Lin, Chin-Chi Hsu, Wen-Hao Chen, 2017, WSDM.

Discovering and Explaining Abnormal Nodes in Semantic Graphs

Shou-De Lin, Hans Chalupsky, Shou-de Lin, 2008, IEEE Transactions on Knowledge and Data Engineering.

Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval

Shou-De Lin, Mirella Lapata, Rui Yan, 2013, IJCNLP.

Audio Tag Annotation and Retrieval Using Tag Count Information

Shou-De Lin, Hsin-Min Wang, Hung-Yi Lo, 2011, MMM.

Assessing the Quality of Diffusion Models Using Real-World Social Network Data

Shou-De Lin, Ting-Chun Peng, San-Chuan Hung, 2011, 2011 International Conference on Technologies and Applications of Artificial Intelligence.

Enriching Cold Start Personalized Language Model Using Social Network Information

Yu-Yang Huang, Shou-De Lin, Rui Yan, 2014, ACL.

A social network evolution model based on seniority

Shou-de Lin, Jing-Kai Lou, Shyh-Kang Jeng, 2011, Social Network Analysis and Mining.

Transfer learning for sequential recommendation model

Shou-De Lin, Shao-Wen Yang, Chi-Ruei Li, 2016, 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering

Shou-De Lin, Yu Tsao, How Jing, 2014, 2014 IEEE International Conference on Data Mining.

Efficient Sampling-Based ADMM for Distributed Data

Shou-De Lin, Jun-Kun Wang, Shou-de Lin, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

GraphFC: Customs Fraud Detection with Label Scarcity

Shou-de Lin, Yu-Che Tsai, Cheng-te Li, 2023, CIKM.

Unsupervised Feature Selection: Minimize Information Redundancy of Features

Liang-Chieh Chen, Chun-Chao Yen, Shou-De Lin, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation

Yu-Yang Huang, Shou-De Lin, Shou-de Lin, 2016, EMNLP.

Discovering Correction Rules for Auto Editing

Shou-De Lin, Tsung-Ting Kuo, Ying-Chun Lai, 2010, Int. J. Comput. Linguistics Chin. Lang. Process..

Parallel Least-Squares Policy Iteration

Shou-De Lin, Jun-Kun Wang, Shou-de Lin, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Optimizing specificity under perfect sensitivity for medical data classification

Shou-De Lin, Hung-Yi Lo, Tu-Chun Yin, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

An Unsupervised Learning Model to Perform Side Channel Attack

Shou-De Lin, Yi-Lin Tsai, Chen-Mou Cheng, 2013, PAKDD.

Mining and generating large-scaled social networks via MapReduce

Shou-De Lin, Cheng-Te Li, Yi-Chen Lo, 2013, Social Network Analysis and Mining.

Exploiting and Evaluating MapReduce for Large-Scale Graph Mining

Shou-De Lin, Cheng-Te Li, Yi-Chen Lo, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

2015 Ieee International Conference on Big Data (big Data) Bandwidth-efficient Distributed K-nearest-neighbor Search with Dynamic Time Warping

Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, 2022 .

Discovering the linear writing order of a two-dimensional ancient hieroglyphic script

Shou-De Lin, Kevin Knight, Kevin Knight, 2006, Artif. Intell..

Cost-sensitive stacking for audio tag annotation and retrieval

Shou-De Lin, Hsin-Min Wang, Hung-Yi Lo, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Communication-efficient multi-view keyframe extraction in distributed video sensors

Shou-De Lin, Chia-han Lee, Shao-Yi Chien, 2014, 2014 IEEE Visual Communications and Image Processing Conference.

Online plagiarism detection through exploiting lexical, syntactic, and semantic information

Shou-De Lin, Nanyun Peng, Chun-Chao Yen, 2012, ACL 2012.

Online Plagiarized Detection Through Exploiting Lexical, Syntax, and Semantic Information

Shou-De Lin, Nanyun Peng, Wan-Yu Lin, 2012, ACL.

Minimizing expected loss for risk-avoiding reinforcement learning

Shou-De Lin, William Chen, Tsung-Ting Kuo, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Sixth International Joint Conference on Natural Language Processing

Mirella Lapata, Shou-de Lin, Rui Yan, 2013 .

Modeling and Visualizing Information Propagation in a Micro-blogging Platform

Shou-De Lin, Cheng-Te Li, Chien-Tung Ho, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Exploiting endorsement information and social influence for item recommendation

Shou-De Lin, Cheng-Te Li, Man-Kwan Shan, 2011, SIGIR.

A modified random walk framework for handling negative ratings and generating explanations

Shou-De Lin, Yu-Chih Chen, Yu-Shi Lin, 2013, TIST.

What Can the Temporal Social Behavior Tell Us? An Estimation of Vertex-Betweenness Using Dynamic Social Information

Shou-De Lin, Chin-Laung Lei, Kuan-Ta Chen, 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks

Shou-De Lin, Cheng-Te Li, Shou-de Lin, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Mining Heterogeneous Social Networks for Egocentric Information Abstraction

Shou-De Lin, Cheng-Te Li, Shou-de Lin, 2010, From Sociology to Computing in Social Networks.

Egocentric Information Abstraction for Heterogeneous Social Networks

Shou-De Lin, Cheng-Te Li, Shou-de Lin, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory

Shou-De Lin, Cheng-Te Li, Yi-Chen Lo, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

A Social Diffusion Model with an Application on Election Simulation

Shou-De Lin, Chin-Laung Lei, Kuan-Ta Chen, 2014, TheScientificWorldJournal.

Unseen Filler Generalization In Attention-based Natural Language Reasoning Models

Shou-De Lin, Chin-Hui Chen, Yi-Fu Fu, 2020, 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).

Generalized k-labelset ensemble for multi-label classification

Shou-De Lin, Hsin-Min Wang, Hung-Yi Lo, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Novel Topic Diffusion Prediction using Latent Semantic and User Behavior

Shou-De Lin, San-Chuan Hung, Tsung-Ting Kuo, 2015, ASE BD&SI.

Online Linear Optimization with Sparsity Constraints

Shou-De Lin, Chi-Jen Lu, Jun-Kun Wang, 2019, ALT.