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--- publication:arxivwork [2016/10/05 20:36] – hj
+++ publication:arxivwork [2020/02/20 22:34] – hj
@@ Line 1: / Line 1: @@
  ====  My latest work published in arXiv.org: ====
-  - Q. Liu, //H. Jiang//, A. Evdokimov, Z. Ling, X. Zhu, S. Wei, Y. Hu, "**Probabilistic Reasoning via Deep Learning: Neural Association Models**," [[https://arxiv.org/abs/1603.07704|arXiv:1603.07704]].
+  - Behnam Asadi, Hui Jiang, "**On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks**,"   [[https://arxiv.org/abs/2002.04060|arXiv:2002.04060]].
+  - Y. Lin, K. Ahmadi, //H. Jiang//, "**Bandlimiting Neural Networks Against Adversarial Attacks**," [[https://arxiv.org/abs/1905.12797|arXiv:1905.12797]].
+  - //H. Jiang//, "**Why Learning of Large-Scale Neural Networks Behaves Like Convex
+ Optimization**", [[https://arxiv.org/abs/1903.02140|arXiv:1903.02140]].
+  - //H. Jiang//, "**A New Perspective on Machine Learning: How to do Perfect Supervised Learning**", [[https://arxiv.org/abs/1901.02046|arXiv:1901.02046]].
+  - Q. Liu, //H. Jiang//, Z. Ling, X. Zhu, S. Wei, Y. Hu, "**Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems**," [[https://arxiv.org/abs/1611.04146|arXiv:1611.04146]].
+  - D. Liu, W. Lin, S. Zhang, S. Wei, //H. Jiang//, "**Neural Networks Models for Entity Discovery and Linking**," [[https://arxiv.org/abs/1611.03558|arXiv:1611.03558]].
+  - R. Soltani, //H. Jiang//, "**Higher Order Recurrent Neural Networks**," [[https://arxiv.org/abs/1605.00064|arXiv:1605.00064]].
   - Q. Liu, Z. Ling, //H.  Jiang//, Y. Hu, "**Part-of-Speech Relevance Weights for Learning Word Embeddings,**" [[https://arxiv.org/abs/1603.07695|arXiv:1603.07695]].
   - D. J. Im, C. D. Kim, //H. Jiang//, R. Memisevic, "**Generating images with recurrent adversarial networks**,"[[https://arxiv.org/abs/1602.05110|arXiv:1602.05110]].
-  - H.  Pan, //H. Jiang//, "**A Deep Learning Based Fast Image Saliency Detection Algorithm**," [[https://arxiv.org/abs/1602.00577|arXiv:1602.00577]].