• Publications
  • Influence
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks
TLDR
We propose a data-driven model leveraging the concept of meta-learning to maximize the expected influence in the long run. Expand
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Inferring Air Quality for Station Location Recommendation Based on Urban Big Data
TLDR
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
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i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization
TLDR
In this paper, we formulate the poetry composition task as an optimization problem based on a generative summarization framework under several constraints. Expand
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Designing the Market Game for a Trading Agent Competition
TLDR
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
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A trading agent competition
TLDR
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
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Feature Engineering and Classifier Ensemble for KDD Cup 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
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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
TLDR
We present an unsupervised link discovery method aimed at discovering unusual, interestingly linked entities in multi-relational datasets. Expand
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Time-Aware Ranking in Dynamic Citation Networks
TLDR
This paper describes the Effective Contagion Matrix (ECM), a solution to address recency bias in the analysis of dynamic complex networks. Expand
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Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction
TLDR
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
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MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
TLDR
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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