S. Lin

Publications
Influence

A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks

S. Lin, S. Lin, M. Chen
Computer Science
KDD
10 August 2015

We propose a data-driven model leveraging the concept of meta-learning to maximize the expected influence in the long run. Expand

Inferring Air Quality for Station Location Recommendation Based on Urban Big Data

Hsun-Ping Hsieh, S. Lin, Y. Zheng
Computer Science
KDD
10 August 2015

We design a semi-supervised inference model utilizing existing monitoring data together with heterogeneous city dynamics, including meteorology, human mobility, structure of road networks, and point of interests (POIs). Expand

i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization

R. Yan, Han Jiang, Mirella Lapata, S. Lin, X. Lv, X. Li
Computer Science
IJCAI
3 August 2013

In this paper, we formulate the poetry composition task as an optimization problem based on a generative summarization framework under several constraints. Expand

Designing the Market Game for a Trading Agent Competition

Michael P. Wellman, Peter R. Wurman, +4 authors W. Walsh
Computer Science
IEEE Internet Comput.
1 March 2001

The authors discuss the design and operation of a trading agent competition, focusing on the game structure and some of the key technical issues in running and playing the game. Expand

A trading agent competition

Michael P. Wellman, Peter R. Wurman, +4 authors W. Walsh
Computer Science
2000

We specify the Trading Agent Competition Ad Auction game (TAC/AA), a TAC market game in the domain of sponsored search in which agents compete with each other on ad placement for search results. Expand

Feature Engineering and Classifier Ensemble for KDD Cup 2010

Hsiang-Fu Yu, Hung-Yi Lo, +17 authors Chih-Jen Lin
Computer Science
KDD
2010

KDD Cup 2010 is an educational data mining competition. Participants are asked to learn a model from students' past behavior and then predict their future performance. At National Taiwan University,… Expand

Unsupervised link discovery in multi-relational data via rarity analysis

S. Lin, Hans Chalupsky
Computer Science
Third IEEE International Conference on Data…
19 November 2003

We present an unsupervised link discovery method aimed at discovering unusual, interestingly linked entities in multi-relational datasets. Expand

Time-Aware Ranking in Dynamic Citation Networks

R. Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, S. Lin, Kristina Lerman
Computer Science
IEEE 11th International Conference on Data Mining…
11 December 2011

This paper describes the Effective Contagion Matrix (ECM), a solution to address recency bias in the analysis of dynamic complex networks. Expand

Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction

Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, S. Lin
Computer Science
Int. J. Comput. Linguistics Chin. Lang. Process.
2012

We introduce a framework to fetch 21 legal factor labels of robbery and intimidation cases, then use the labels for case classification and sentencing prediction. Expand

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

S. Fu, Chien-Feng Liao, Y. Tsao, S. Lin
Computer Science, Engineering
ICML
13 May 2019

Adversarial loss in a conditional generative adversarial network (GAN) is not designed to directly optimize evaluation metrics of a target task. Expand

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