activity
20122026
most citedSHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

310 citations · 1.3k across the 36 of their papers we have counts for

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Showing 2019Show all

14 papers · 1 filter

cs.LG2019

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

Jun Wang, Hefu Zhang, Qi Liu +2

Recent years have witnessed the increasing interests in research of crowdfunding mechanism. In this area, dynamics tracking is a significant issue but is still under exploration. E…

cs.LG2019

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

Likang Wu, Zhi Li, Hongke Zhao +3

Well begun is half done. In the crowdfunding market, the early fundraising performance of the project is a concerned issue for both creators and platforms. However, estimating the…

cs.AI2019

Long-term Joint Scheduling for Urban Traffic

Xianfeng Liang, Likang Wu, Joya Chen +7

Recently, the traffic congestion in modern cities has become a growing worry for the residents. As presented in Baidu traffic report, the commuting stress index has reached surpris…

cs.LG2019★ 2 cited

Neural Cognitive Diagnosis for Intelligent Education Systems

Fei Wang, Qi Liu, Enhong Chen +5

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches us…

cs.CL2019★ 7 cited

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems

Binbin Jin, Enhong Chen, Hongke Zhao +4

In the area of community question answering (CQA), answer selection and answer ranking are two tasks which are applied to help users quickly access valuable answers. Existing solut…

cs.IR2019★ 14 cited

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach

Min Hou, Le Wu, Enhong Chen +3

In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show prefere…