32 citations · 49 across the 5 of their papers we have counts for
5 papers
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu +4
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text…
DySuse: Susceptibility Estimation in Dynamic Social Networks
Yingdan Shi, Jingya Zhou, Congcong Zhang
Influence estimation aims to predict the total influence spread in social networks and has received surged attention in recent years. Most current studies focus on estimating the t…
Fairness-aware Competitive Bidding Influence Maximization in Social Networks
Congcong Zhang, Jingya Zhou, Jin Wang +2
Competitive Influence Maximization (CIM) has been studied for years due to its wide application in many domains. Most current studies primarily focus on the micro-level optimizatio…
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
Xigang Sun, Jingya Zhou, Ling Liu +1
Predicting information cascade popularity is a fundamental problem in social networks. Capturing temporal attributes and cascade role information (e.g., cascade graphs and cascade…
Securing Distributed SGD against Gradient Leakage Threats
Wenqi Wei, Ling Liu, Jingya Zhou +2
This paper presents a holistic approach to gradient leakage resilient distributed Stochastic Gradient Descent (SGD). First, we analyze two types of strategies for privacy-enhanced…