Ming B Email & Phone Number

1. Distributed parallel machine learning algorithms have been coded include: 分布式Deep Learning（DNN）（Data parallelism & Model parallelism），最大熵(Max Entropy)，逻辑回归（LR），基于梯度的决策树(LambdaMART / GBDT)，随机森林(RF)，PageRank，协同过滤(Collaborative Filtering)，SimHash，MinHash，Disjoint Set，统计词对齐(SMT)，主题模型(PLSA / semi-PLSA / online-PLSA)，LDA，划分聚类(Kmeans / 快速Kmeans /流式Kmeans)，层次聚类(HAC)，Query Clustering，EMBT， 矩阵分解(ALS)，Learning with Local and Global Consistency(LLGC)，分布式TF-IDF，分布式AUC评估，word2vec的并行化；2. Large-scale Data Mining and Machine Learning Algorithms for Internet Advertisement, internet search, NLP, Image understanding, speech recognition, etc.3. Distributed Parallel Computing Architecture Framework;4. Deep Learning for speech recognition;5. Semi-supervised Learning, MRF, CRF, Belief Propagation, Manifold Learning, Data Modeling and Analysis, etc. for Internet Advertisement, internet search;6. Stereo matching algorithm, Image Understanding based on Texture, Context and Semantic Structure, etc. for Image understanding;

• 

  Dalian University Of Technology

  Pattern Recognization & Machine Intelligence