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Hi, I'm DongDong, a Statisticial student current study at NSYSU in Taiwan. I'm very passion on data analysis competition and currently learning data analysis, feel free to collaborate with me, I would love to contact you in English or Mandarin. My profession are Computer Vision, Data analysis, Image processing, Spatial statistics, and I love to play piano and cover music in piano.

哈囉，我是正在台灣中山大學學習統計的學生，我正在學習資料分析以及對資料分析競賽充滿熱情，如果你也對 這方面有興趣，或許我們可以一起合作。我的專長是電腦視覺、影像處理、空間統計、資料分析，除此之外，我 也對彈鋼琴有著濃厚的興趣、常常會把音樂用鋼琴改編，把琴譜放到網路上開源，我也是多個象棋比賽的優勝者。

I'm the author of R package HCV, a spatial clusteirng method which involving spatial proximity by constructing the Voronoi diagram, the uniquness of HCV algorithm is that it ensure the connectness on spatial domain (through constructing adjacency matrix) but also alleviate the uncertainty by applying the R package M3C (through Monte Carlo Simulation), but one thing to do is that the time complexity of hierarchical clustering algorithm is the cubic of number of samples, therefore, I'm working on implementing C to accelerate the whole algorithm, espicially the part of matrix searching and distance calculating.

Another project I'm working on is CRF (Conditional Random Field) in computer vision. In the segmentation task of comoputer vision, we try to find the best classification of each pixels to form a cluster, or segment, the choose of the task is oftenly CNN neural network, CRF try to minimize the energy function which constructe by unary potential and pairwise potential, in such case, the unary potential is the output of CNN module, the output can be improved the setting a great pairwise potential, and we are working on it.

If you want to collaborate with me, you may use the following ways to contact me, usually, I will response your message in one week and make sure to use another way to contact me if I don't response.

如果你有興趣跟我聯絡或者合作，你可以用以下方式與我聯絡，我通常會在一周以內回復您的訊息，如果我並未回覆，嘗試用其他方式與我聯絡

Kaggle: https://www.kaggle.com/dongdongxzoez Github: https://github.com/DongDong-Zoez Gmail: 2lbry5230100@gmail.com