56 citations · 78 across the 10 of their papers we have counts for
10 papers
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Zhiyu Cao, Zihan Chen, Prerna Mishra +2
Financial contagion has been widely recognized as a fundamental risk to the financial system. Particularly potent is price-mediated contagion, wherein forced liquidations by firms…
ChatGPT Informed Graph Neural Network for Stock Movement Prediction
Zihan Chen, Lei Nico Zheng, Cheng Lu +2
ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for inferring dynamic network structures from tempor…
Personalizing Federated Learning with Over-the-Air Computations
Zihan Chen, Zeshen Li, Howard H. Yang +1
Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients col…
Towards Federated Long-Tailed Learning
Zihan Chen, Songshang Liu, Hualiang Wang +3
Data privacy and class imbalance are the norm rather than the exception in many machine learning tasks. Recent attempts have been launched to, on one side, address the problem of l…
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Jingyi Xu, Zihan Chen, Tony Q. S. Quek +1
Federated learning (FL) is a privacy-preserving distributed learning paradigm that enables clients to jointly train a global model. In real-world FL implementations, client data co…
Dynamic Attention-based Communication-Efficient Federated Learning
Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek
Federated learning (FL) offers a solution to train a global machine learning model while still maintaining data privacy, without needing access to data stored locally at the client…
Sentiment Analysis of the COVID-related r/Depression Posts
Zihan Chen, Marina Sokolova
Reddit.com is a popular social media platform among young people. Reddit users share their stories to seek support from other users, especially during the Covid-19 pandemic. Messag…
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference
Howard H. Yang, Zihan Chen, Tony Q. S. Quek +1
We study a distributed machine learning problem carried out by an edge server and multiple agents in a wireless network. The objective is to minimize a global function that is a su…
Convergence Properties of the Distributed Projected Subgradient Algorithm over General Graphs
Weijian Li, Zihan Chen, Youcheng Lou +1
In this paper, we revisit a well-known distributed projected subgradient algorithm which aims to minimize a sum of cost functions with a common set constraint. In contrast to most…
Dynamics of Opinions with Social Biases
Zihan Chen, Jiahu Qin, Bo Li +3
This paper aims to provide a systemic analysis to social opinion dynamics subject to individual biases. As a generalization of the classical DeGroot social interactions, defined by…