225 citations · 248 across the 6 of their papers we have counts for
6 papers
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
Image captioning, an important vision-language task, often requires a tremendous number of finely labeled image-caption pairs for learning the underlying alignment between images a…
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs
Qiang Gao, Xinzhu Zhou, Kunpeng Zhang +3
Stock selection attempts to rank a list of stocks for optimizing investment decision making, aiming at minimizing investment risks while maximizing profit returns. Recently, resear…
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…
Weighting-Based Treatment Effect Estimation via Distribution Learning
Dongcheng Zhang, Kunpeng Zhang
Existing weighting methods for treatment effect estimation are often built upon the idea of propensity scores or covariate balance. They usually impose strong assumptions on treatm…
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou, Xovee Xu, Goce Trajcevski +1
The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advert…
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao
Graph Neural Networks (GNNs) have recently received significant research attention due to their superior performance on a variety of graph-related learning tasks. Most of the curre…