Use 'NeoZhangJianyu' ID from GitHub (#456)

Signed-off-by: Abolfazl Shahbazi <abolfazl.shahbazi@intel.com>

docs/notebooks/README.md

@@ -8,5 +8,5 @@ The contributor is responsible for maintaining their notebooks.
 | ------ | ------ | ------ |
 | [perf_analysis](/docs/notebooks/perf_analysis) | Compare performance between stock and Intel Tensorflow for several models  | [louie-tsai](https://github.com/louie-tsai), [ZhuoweiSi](https://github.com/ZhuoweiSi), [yinghu5](https://github.com/yinghu5), [charulatha27](https://github.com/charulatha27)|
 | [ObjectDetection.ipynb](ObjectDetection.ipynb) | Visualize and benchmark the predictions of an object detection model served by TensorFlow Serving  | [mhbuehler](https://github.com/mhbuehler) |
-| [low_precision_optimization](/docs/notebooks/low_precision_optimization) | Quantize a model with Intel(R) Low Precision Optimization Tool (LPOT) in Model Zoo for Intel(R) Architecture, and analyze the performance before and after quantization  | [jianyuzh](https://gitlab.devtools.intel.com/jianyuzh) |
+| [low_precision_optimization](/docs/notebooks/low_precision_optimization) | Quantize a model with Intel(R) Low Precision Optimization Tool (LPOT) in Model Zoo for Intel(R) Architecture, and analyze the performance before and after quantization  | [NeoZhangJianyu](https://github.com/NeoZhangJianyu) |
 | [transfer_learning](/docs/notebooks/transfer_learning) | Demonstrates transfer learning using Intel TensorFlow and Intel Extension for PyTorch with the Model Zoo for Intel Architecture and other public model repositories | [dmsuehir](https://github.com/dmsuehir), [mhbuehler](https://github.com/mhbuehler) |