Unifying Virtual and Physical Worlds

By Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-seng Chua. 2017

21 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xiangnan He
2. Tat-seng Chua
3. Xiang Wang
4. Liqiang Nie
5. Fuli Feng
6. Hanwang Zhang
7. Wei David Liu
8. Lei Wang

In Statistical and Nonlinear Physics

1. Tat-seng Chua
2. Hanwang Zhang
3. Xiangnan He

In Transportation

1. Tat-seng Chua
2. Xiang Wang
3. Fuli Feng
4. Hanwang Zhang
5. Xiangnan He

Citations in the corpus

• Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention (2017, background): “, star ratings of products, which provide explicit feedback [19, 25, 38].”
• TEM: Tree-enhanced Embedding Model for Explainable Recommendation (2018, background): “, item-based CF [35]), which are too coarse-grained and may be insufficient to convince users on a recommendation [14, 39, 45].”
• Attentive Moment Retrieval in Videos (2018, background): “In particular, when given a video, the personal query history is treated as the user-item interactions similar in [4, 13, 39] to better capture a user’s preference towards moments.”
• The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers (2018, background): “In recent years, deep learning (DL) has witnessed great success in a wide spectrum of “smart” applications, such as visual question answering [35], [36], video captioning [37], [38], [39], [40], personal interest inference [41], [42], [43] and smart transportation [44].”