18 citations · 40 across the 8 of their papers we have counts for
8 papers
Multiple Instance Learning for Uplift Modeling
Yao Zhao, Haipeng Zhang, Shiwei Lyu +3
Uplift modeling is widely used in performance marketing to estimate effects of promotion campaigns (e.g., increase of customer retention rate). Since it is impossible to observe ou…
Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
Kai Peng, Ying Zhang, Shuai Ling +2
Celebrities' whereabouts are of pervasive importance. For instance, where politicians go, how often they visit, and who they meet, come with profound geopolitical and economic impl…
Conservative adventurers have more future academic impact
Xingsheng Yang, Zhaoru Ke, Xiangyi Xiao +3
Some scientists explore unfamiliar topics, while others exploit existing ones, yet the link between these choices and academic performance remains unclear. Prior studies offer conf…
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
Zihao Pan, Kai Peng, Shuai Ling +1
Achieving gender equality is an important pillar for humankind's sustainable future. Pioneering data-driven gender bias research is based on large-scale public records such as scie…
RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics
Longfei Chen, Yang Ouyang, Haipeng Zhang +2
Restructuring the regional industrial structure (RIS) has the potential to halt economic recession and achieve revitalization. Understanding the current status and dynamics of RIS…
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li, Kan Ren, Xinyang Jiang +3
Fine-tuning pretrained models is a common practice in domain generalization (DG) tasks. However, fine-tuning is usually computationally expensive due to the ever-growing size of pr…
Knowledge Graph Enhanced Event Extraction in Financial Documents
Kaihao Guo, Tianpei Jiang, Haipeng Zhang
Event extraction is a classic task in natural language processing with wide use in handling large amount of yet rapidly growing financial, legal, medical, and government documents…
Graph Neural Network Based VC Investment Success Prediction
Shiwei Lyu, Shuai Ling, Kaihao Guo +5
Predicting the start-ups that will eventually succeed is essentially important for the venture capital business and worldwide policy makers, especially at an early stage such that…