add: 1 paper

README.md

@@ -44,6 +44,10 @@ author = {Wang, Jindong and others}
 
 - **Latest publications**
 
+	- 20190419 CVPR-19 [DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition](https://arxiv.org/abs/1904.08634)
+    	- Dual-Domain LSTM for Cross-Dataset Action Recognition
+    	- 跨数据集的动作识别
+
 	- 20190415 PAKDD-19 [Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition](https://link.springer.com/chapter/10.1007/978-3-030-16148-4_9)
     	- Transfer learning for handwritten Chinese character recognition
     	- 用迁移学习进行中文手写体识别
@@ -52,26 +56,6 @@ author = {Wang, Jindong and others}
     	- Multi-task learning for sentiment classification
     	- 用多任务学习进行任务依赖的情感分析
 
-	- 20190415 PAKDD-19 [Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction](https://link.springer.com/chapter/10.1007/978-3-030-16148-4_27)
-    	- Spatial-Temporal multi-task learning for cotton yield prediction
-    	- 时空依赖的多任务学习用于棉花收入预测
-
-	- 20190415 PAKDD-19 [Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks](https://link.springer.com/chapter/10.1007/978-3-030-16145-3_3)
-    	- Passenger demand forecasting with multi-task CRNN
-    	- 用多任务CRNN模型进行顾客需求估计
-
-	- 20190415 PAKDD-19 [Parameter Transfer Unit for Deep Neural Networks](https://link.springer.com/chapter/10.1007/978-3-030-16145-3_7)
-    	- Propose a parameter transfer unit for DNN
-    	- 对深度网络提出参数迁移单元
-
-	- 20190415 PAKDD-19 [Targeted Knowledge Transfer for Learning Traffic Signal Plans](https://link.springer.com/chapter/10.1007/978-3-030-16145-3_14)
-    	- Targeted knowledge transfer for traffic control
-    	- 目标知识迁移应用于交通红绿灯
-
-	- 20190415 PAKDD-19 [Knowledge Graph Rule Mining via Transfer Learning](https://link.springer.com/chapter/10.1007/978-3-030-16142-2_38)
-    	- Knowledge Graph Rule Mining via Transfer Learning
-    	- 迁移学习应用于知识图谱
-
 	- 20190405 IJCNN-19 [Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning](https://arxiv.org/abs/1904.02654)
     	- The first work to accelerate transfer learning
     	- 第一个加速迁移学习的工作

doc/awesome_paper.md

@@ -523,6 +523,10 @@ Including domain adaptation and partial domain adaptation.
 
 ### Non-Adversarial Transfer Learning (非对抗深度迁移)
 
+- 20190419 CVPR-19 [DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition](https://arxiv.org/abs/1904.08634)
+  	- Dual-Domain LSTM for Cross-Dataset Action Recognition
+  	- 跨数据集的动作识别
+
 - 20190109 InfSc [Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment](https://doi.org/10.1016/j.ins.2019.01.025)
     - Extension of Central Moment Discrepancy (ICLR-17) approach