34 citations · 83 across the 12 of their papers we have counts for
13 papers
From job titles to jawlines: Using context voids to study generative AI systems
Shahan Ali Memon, Soham De, Sungha Kang +5
In this paper, we introduce a speculative design methodology for studying the behavior of generative AI systems, framing design as a mode of inquiry. We propose bridging seemingly…
An Empirical Study on Zero-Data Bootstrapping for Conversational Recommender Systems
Rohan Surana, Junda Wu, Zhouhang Xie +3
Conversational Recommender Systems (CRS) typically require domain-specific dialogue data, which is costly, scarce, and often unavailable in new domains. We conduct a systematic emp…
Where postdoctoral journeys lead
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli +3
Postdoctoral training is a career stage often described as a demanding and anxiety-laden time when many promising PhDs see their academic dreams slip away due to circumstances beyo…
Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
Shahan Ali Memon, Jevin D. West
In this commentary, we discuss the evolving nature of search engines, as they begin to generate, index, and distribute content created by generative artificial intelligence (GenAI)…
Characterizing the effect of retractions on publishing careers
Shahan Ali Memon, Kinga Makovi, Bedoor AlShebli
Retracting academic papers is a fundamental tool of quality control, but it may have far-reaching consequences for retracted authors and their careers. Previous studies have highli…
China and the U.S. produce more impactful AI research when collaborating together
Bedoor AlShebli, Shahan Ali Memon, James A. Evans +1
Artificial Intelligence (AI) has become a disruptive technology, promising to grant a significant economic and strategic advantage to nations that harness its power. China, with it…
Acoustic Correlates of the Voice Qualifiers: A Survey
Shahan Ali Memon
Our voices are as distinctive as our faces and fingerprints. There is a spectrum of non-disjoint traits that make our voices unique and identifiable, such as the fundamental freque…
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Shahan Ali Memon, Kathleen M. Carley
From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-bed for the spread of misinformation online. It is more important than ever to identify method…
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities
Shahan Ali Memon, Aman Tyagi, David R. Mortensen +1
Public health practitioners and policy makers grapple with the challenge of devising effective message-based interventions for debunking public health misinformation in cyber commu…
Detecting gender differences in perception of emotion in crowdsourced data
Shahan Ali Memon, Hira Dhamyal, Oren Wright +5
Do men and women perceive emotions differently? Popular convictions place women as more emotionally perceptive than men. Empirical findings, however, remain inconclusive. Most prio…
The phonetic bases of vocal expressed emotion: natural versus acted
Hira Dhamyal, Shahan Ali Memon, Bhiksha Raj +1
Can vocal emotions be emulated? This question has been a recurrent concern of the speech community, and has also been vigorously investigated. It has been fueled further by its lin…
Hierarchical Routing Mixture of Experts
Wenbo Zhao, Yang Gao, Shahan Ali Memon +2
In regression tasks the distribution of the data is often too complex to be fitted by a single model. In contrast, partition-based models are developed where data is divided and fi…
Neural Regression Trees
Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj +1
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one. Current approaches for RvC use ad-hoc discretization strategies and a…