activity
20182023
most citedA Survey of Learning Causality with Data: Problems and Methods

223 citations · 449 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.SI2021★ 15 cited

Mechanisms and Attributes of Echo Chambers in Social Media

Bohan Jiang, Mansooreh Karami, Lu Cheng +2

Echo chambers may exclude social media users from being exposed to other opinions, therefore, can cause rampant negative effects. Among abundant evidence are the 2016 and 2020 US p…

cs.CY2021★ 1 cited

Automated Meta-Analysis: A Causal Learning Perspective

Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney +1

Meta-analysis is a systematic approach for understanding a phenomenon by analyzing the results of many previously published experimental studies. It is central to deriving conclusi…

cs.LG2021★ 1 cited

Analysis of Legal Documents via Non-negative Matrix Factorization Methods

Ryan Budahazy, Lu Cheng, Yihuan Huang +7

The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assist…

cs.AI2021★ 1 cited

Causal Learning for Socially Responsible AI

Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth +1

There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes,…

stat.ML2021★ 1 cited

Causal Mediation Analysis with Hidden Confounders

Lu Cheng, Ruocheng Guo, Huan Liu

An important problem in causal inference is to break down the total effect of a treatment on an outcome into different causal pathways and to quantify the causal effect in each pat…

cs.CY2021★ 35 cited

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

Lu Cheng, Kush R. Varshney, Huan Liu

In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all…