Differences
This shows you the differences between two versions of the page.
|
people:shenglin_zhao [2017/08/06 09:20] slzhao |
people:shenglin_zhao [2017/11/03 19:02] (current) slzhao |
||
|---|---|---|---|
| Line 34: | Line 34: | ||
| ==== Conference Publications ==== | ==== Conference Publications ==== | ||
| - | **Shenglin Zhao**, Michael R. Lyu, Irwin King, Jia Zeng, and Mingxuan Yuan. "Mining Business Opportunities from Location-based Social Networks". SIGIR 2017(Short) | ||
| - | **Shenglin Zhao**, Tong Zhao, Irwin King, and Michael R. Lyu. "Geo-Teaser: Geo-Temporunderlineal Sequential Embedding Rank for Point-of-interest Recommendation". WWW 2017 (Cognitive Computing Track). | + | Sheng Zhang, **Shenglin Zhao**, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Irwin King, and Michael Lyu. "Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method". To appear in SIGSPATIAL 2017. |
| + | |||
| + | **Shenglin Zhao**, Irwin King, and Michael R. Lyu. "Geo-Pairwise Ranking Matrix Factorization Model for Point-of-interest Recommendation". To appear in ICONIP 2017 (Best paper nominee). | ||
| + | |||
| + | Jiajun Cheng, **Shenglin Zhao**, Jiani Zhang, Irwin King, Xin Zhang, and Hui Wang. "Aspect-level Sentiment Classification with HEAT (__H__i__e__rarchical __At__tention) Network". To appear in CIKM 2017. | ||
| + | |||
| + | **Shenglin Zhao**, Michael R. Lyu, Irwin King, Jia Zeng, and Mingxuan Yuan. "Mining Business Opportunities from Location-based Social Networks". SIGIR 2017. | ||
| + | |||
| + | **Shenglin Zhao**, Tong Zhao, Irwin King, and Michael R. Lyu. "Geo-Teaser: Geo-__Te__mpor__a__l __S__equential __E__mbedding __R__ank for Point-of-interest Recommendation". WWW 2017 (Cognitive Computing Track). | ||
| **Shenglin Zhao**, Michael R. Lyu, and Irwin King. "Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation". ICONIP 2016. | **Shenglin Zhao**, Michael R. Lyu, and Irwin King. "Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation". ICONIP 2016. | ||
