Picture for Haihong Tang

Haihong Tang

Alibaba Group

Shape Controllable Virtual Try-on for Underwear Models

Jul 28, 2021
Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song

Figure 1 for Shape Controllable Virtual Try-on for Underwear Models

Figure 2 for Shape Controllable Virtual Try-on for Underwear Models

Figure 3 for Shape Controllable Virtual Try-on for Underwear Models

Figure 4 for Shape Controllable Virtual Try-on for Underwear Models

* 10 pages, 9 figures, conference

Access Paper or Ask Questions

SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis

May 26, 2021
Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang

Figure 1 for SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis

Figure 2 for SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis

Figure 3 for SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis

Figure 4 for SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis

* arXiv admin note: text overlap with arXiv:2005.05635 by other authors

Access Paper or Ask Questions

Path-based Deep Network for Candidate Item Matching in Recommenders

May 18, 2021
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang

Figure 1 for Path-based Deep Network for Candidate Item Matching in Recommenders

Figure 2 for Path-based Deep Network for Candidate Item Matching in Recommenders

Figure 3 for Path-based Deep Network for Candidate Item Matching in Recommenders

Figure 4 for Path-based Deep Network for Candidate Item Matching in Recommenders

* Accepted for publication in SIGIR2021

Access Paper or Ask Questions

A Hybrid Bandit Framework for Diversified Recommendation

Dec 24, 2020
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

Figure 1 for A Hybrid Bandit Framework for Diversified Recommendation

Figure 2 for A Hybrid Bandit Framework for Diversified Recommendation

Figure 3 for A Hybrid Bandit Framework for Diversified Recommendation

Figure 4 for A Hybrid Bandit Framework for Diversified Recommendation

* Accepted by AAAI 2021

Access Paper or Ask Questions