Publications (23)
Pandemics are catalysts of scientific novelty: Evidence from COVID-19
Meijun Liu, Yi Bu, Chongyan Chen +14
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to…
Social Learning and the Accuracy-Risk Trade-off in the Wisdom of the Crowd
Dhaval Adjodah, Yan Leng, Shi Kai Chong +3
How do we design and deploy crowdsourced prediction platforms for real-world applications where risk is an important dimension of prediction performance? To answer this question, w…
Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata
Yan Leng, Alejandro Noriega, Alex 'Sandy' Pentland +3
Tourism has been an increasingly important factor in global economy, society and environment, accounting for a significant share of GDP and labor force. Policy and research on tour…
Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
Huimin Xu, Houjiang Liu, Yan Leng +1
CSCW has long examined how emerging technologies reshape the ways researchers collaborate and produce knowledge, with scientific knowledge production as a central area of focus. As…
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
Binwu Wang, Yan Leng, Guang Wang +1
This study develops FusionTransNet, a framework designed for Origin-Destination (OD) flow predictions within smart and multimodal urban transportation systems. Urban transportation…
Learning Quadratic Games on Networks
Yan Leng, Xiaowen Dong, Junfeng Wu +1
Individuals, or organizations, cooperate with or compete against one another in a wide range of practical situations. Such strategic interactions are often modeled as games played…
Managing travel demand: Location recommendation for system efficiency based on mobile phone data
Yan Leng, Larry Rudolph, Alex 'Sandy' Pentland +2
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic co…
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies
Dhaval Adjodah, Dan Calacci, Yan Leng +3
We draw upon a previously largely untapped literature on human collective intelligence as a source of inspiration for improving deep learning. Implicit in many algorithms that atte…
Demo: Guide-RAG: Evidence-Driven Corpus Curation for Retrieval-Augmented Generation in Long COVID
Philip DiGiacomo, Haoyang Wang, Jinrui Fang +3
As AI chatbots gain adoption in clinical medicine, developing effective frameworks for complex, emerging diseases presents significant challenges. We developed and evaluated six Re…
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd
Dhaval Adjodah, Shi Kai Chong, Yan Leng +2
In this study, we build on previous research to understand the conditions within which the Wisdom of the Crowd (WoC) improves or worsens as a result of showing individuals the pred…
Learning to Infer Structures of Network Games
Emanuele Rossi, Federico Monti, Yan Leng +2
Strategic interactions between a group of individuals or organisations can be modelled as games played on networks, where a player's payoff depends not only on their actions but al…
Profiling presence patterns and segmenting user locations from cell phone data
Yan Leng, Haris Koutsopoulos, Jinhua Zhao
The dynamic monitoring of commuting flows is crucial for improving transit systems in fast-developing cities around the world. However, existing methodology to infer commuting orig…
Natural Language Processing for Cardiology: A Narrative Review
Kailai Yang, Yan Leng, Xin Zhang +5
Cardiovascular diseases are becoming increasingly prevalent in modern society, with a profound impact on global health and well-being. These Cardiovascular disorders are complex an…
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Huimin Xu, Seungjun Yi, Terence Lim +9
Thematic analysis (TA) is a widely used qualitative approach for uncovering latent meanings in unstructured text data. TA provides valuable insights in healthcare but is resource-i…
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements
Yan Leng, Yujia Zhai, Shaojing Sun +6
COVID-19 resulted in an infodemic, which could erode public trust, impede virus containment, and outlive the pandemic itself. The evolving and fragmented media landscape is a key d…
Interpretable Stochastic Block Influence Model: measuring social influence among homophilous communities
Yan Leng, Tara Sowrirajan, Alex Pentland
Decision-making on networks can be explained by both homophily and social influence. While homophily drives the formation of communities with similar characteristics, social influe…
Do LLM Agents Exhibit Social Behavior?
Yan Leng, Yuan Yuan
As LLMs increasingly take on roles in human-AI interactions and autonomous AI systems, understanding their social behavior becomes important for informed use and continuous improve…
Contextual Centrality: Going Beyond Network Structures
Yan Leng, Yehonatan Sella, Rodrigo Ruiz +1
Centrality is a fundamental network property which ranks nodes by their structural importance. However, structural importance may not suffice to predict successful diffusions in a…
Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting
Yan Leng, Thibaut Mastrolia, Hao Wang
Time series driven by unobserved latent states frequently exhibit abrupt jump discontinuities whose timing and magnitude cannot be predicted from observed history alone. Classical…
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
Trung Nguyen, Yan Leng
Linear representation hypothesis posits that high-level concepts are encoded as linear directions in the representation spaces of LLMs. Park et al. (2024) formalize this notion by…
Social Bayesian Learning in the Wisdom of the Crowd
Dhaval Adjodah, Yan Leng, Shi Kai Chong +2
Being able to correctly aggregate the beliefs of many people into a single belief is a problem fundamental to many important social, economic and political processes such as policy…
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao, Qi Yan, Yan Leng +1
While deep learning methods have achieved strong performance in time series prediction, their black-box nature and inability to explicitly model underlying stochastic processes oft…
Familiar Strangers: the Collective Regularity in Human Behaviors
Yan Leng, Dominiquo Santistevan, Alex Pentland
The social phenomenon of familiar strangers was identified by Stanley Milgram in 1972 with a small-scale experiment. However, there has been limited research focusing on uncovering…