35岁了，转去谷歌做人工智能靠谱吗？
35岁了，转去谷歌做人工智能靠谱吗？
原创： Cottbuser 湾区人工智能 1周前
作者：Cottbuser 会多国语言的海归
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每个程序员都有一个谷歌梦，看看这位电工是如何逆袭，争取谷歌的工作机会。
其实他的大学7年都是在研究电，只有博士才开始搞了5年计算机。人生浪费几年，走点弯路，很正常，只要意识到错了，及时修改路线都没有问题。把时间拉长了，回头看，修改路线的决定肯定是对的。不能一直在错误的电工专业浪费青春。
这个台湾人牛逼之处在于能够克服传统思维的阻力，去实现心中的梦想，做自己想做的事情。主要成果就是两个专利，几篇论文。一个语义分割模型让我认识了他。从我认识的几十个台湾人来看，他很台湾。
博士毕业都35岁的样子
硕士毕业两年后才去读博士
本科毕业两年才去美国读硕士
你工作两年后还能拿起书本吗？你结婚，生娃后还有勇气继续去全职读书吗？30岁了才打算改行去实现编程梦想（或者突然醒悟到这是互联网的时代，码农的天下，不会编程未来就是文盲），这个勇气你有吗？放弃一切，从零开始，你愿意承担相应的沉没成本吗？随着潮流，跟着糊里糊涂结婚生子，你快乐吗？你孩子快乐吗？
此刻，我领悟到了一句话《你的心有多大，你拥有的世界就有多大》，开放的思想，冲破环境思维的束缚，敢于面对因为不合群而获得周遭质疑的勇气，高度自律的能力，和超强的执行力，是成为万人景仰的大牛的基本功。
这位大牛35岁才去谷歌当程序员，国内喊着30岁就被企业抛弃了，确实不太合理。其实，不是大龄程序员被抛弃，是年龄和能力不匹配才会被抛弃。
大牛头像，下面看简历吧
Liang-Chieh (Jay) Chen- Home Page
| Liang-Chieh Chen台湾人，香港人，他们是不会大陆的拼音的，看看他们名字的拼音，还有街道名称，大学名称，反正我看不懂 Email: lcchen at cs dot ucla dot edu |
About me我是谁
Since February 2016, I have been working at Google, Los Angeles.在谷歌工作
I finished my Ph.D. in Computer Science at UCLA under the supervision of Alan L. Yuille in November 2015.
My research interests include Computer Vision, Graphical Models, and Machine Learning.
News最新动态
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An implementation and checkpoint for the best Dense Prediction Cell trained on Cityscapes have been released, which attains 82.7% on the test set.
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DeepLabv3 checkpoints with MobileNet-v2 depth-multiplier=0.5 (pretrained on COCO and PASCAL VOC 2012) have been released, which targets at faster inference speed.
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DeepLabv3+ was featured on Computer Vision News.
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One paper (neural architecture search for dense image prediction) is accepted to NIPS 2018.
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Two papers (DeepLabv3+ and PersonLab) are accepted to ECCV 2018.
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Check out our latest work, PesonLab, on joint person instance segmentation and pose estimation.
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Google AI blog about DeepLabv3+ open source.
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Our DeepLabv3+ implementation in TensorFlow is publicly available now!
Education教育背景
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Ph.D., Computer Science, University of California- Los Angeles, September 2010 - November 2015美国加州大学洛杉矶分校博士，计算机科学专业
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M.S., Electrical Engineering: Systems, University of Michigan- Ann Arbor, September 2006 - June 2008美国密歇根大学安娜堡分校电气工程专业
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Major: Signal Processing, Minor: Communication
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B.S., Electronics Engineering, National Chiao-Tung University, Taiwan, September 2000 - June 2004台湾国立交通大学电子系本科（你能看出来是交通大学吗）反正我是靠度娘才翻译出来的
Papers论文
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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction |
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PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model |
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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MobileNetV2: Inverted Residuals and Linear Bottlenecks |
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MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features |
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The Devil is in the Decoder |
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Rethinking Atrous Convolution for Semantic Image Segmentation |
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs |
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Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net |
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Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform |
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Attention to Scale: Scale-aware Semantic Image Segmentation |
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ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering |
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Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation |
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Learning Deep Structured Models (oral) |
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs |
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Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision |
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Modeling Image Patches with a Generic Dictionary of Mini-Epitomes |
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Learning a Dictionary of Shape Epitomes with Applications to Image Labeling |
US Patents
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Systems and Methods for Data Page Management of NAND Flash Memory Arrange- ments, November 2008
Liang-Chieh Chen and Xueshi Yang -
Multi-Mode Encoding for Data Compression, February 2009
Liang-Chieh Chen and Xueshi Yang
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