Research

My Project Network

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Rank by
Degree direct reach Share of other projects with at least one shared feature in the selected layer. Higher means more neighboring projects.
Connectivity average similarity Average feature-overlap score with all other projects in the selected layer. Higher means more shared features across the portfolio.
Bridge between-cluster role Betweenness centrality using similarity as edge strength. Higher means more between-cluster connections.
Edge layers Line thickness shows overlap within the selected layer.
Social Network Analytics and Platform Operations AI and Machine Learning for Operations

Interactive network linking papers by shared research questions, methods, and application settings.

Papers are grouped by research stream and listed in reverse chronological order within each section. Labels indicate publication type/order (J=published journal, C=refereed conference, W=working paper/manuscript/work in progress).

Social Network Analytics and Platform Operations

  1. W5
    A Social-Spatial Network Choice Model with Applications to Pop-Up Store Operations
    Chen Chen , Yunduan Lin, and Kashish Arora
    Submitted to Management Science, 2026
    Link
    Research details
    Concepts social network, spatial network, location choice, dual-network, network externality, multi-source data
    Methods choice model, network game, equilibrium, network centrality, data-driven optimization
    Domains smart city operations, facility location, temporal retail, scalable network operations
    Data SNAP, Gowalla
  2. W2
    Technology Adoption under Experience-Based Learning: A Dynamic Market and Policy Analysis
    Lingfei Zhong , Yunduan Lin, and Zuo-Jun Max Shen
    Major Revision at Production and Operations Management, 2026
    Research details
    Concepts technology adoption, learning while doing, market dynamics
    Methods game theory
    Domains technology adoption, innovation
  3. J3
    Nonprogressive Diffusion on Social Networks: Approximation and Applications
    Yunduan Lin, Heng Zhang, Renyu Zhang, and Zuo-Jun Max Shen
    Management Science, 2025
    Link PDF
    Research details
    Concepts social network, network diffusion, network structure, network centrality, market dynamics, network externality
    Methods approximation algorithm, stochastic modeling, fixed-point iteration, network game, equilibrium, agent-based simulation
    Domains social network operations, scalable network operations
    Data network repository, Facebook network
    Awards & recognitions 5
    First-Place Prize, the 13th POMS-HK International Conference Best Student Paper Award, 2023
    Finalist, the 18th INFORMS Data Mining and Decision Analytics (DMDA) Workshop Best Paper Competition Award (Theoretical Track), 2023
    Finalist, INFORMS Minority Issues Forum Poster Competition, 2023
    Accepted to INFORMS Workshop on Data Science, 2023
    Accepted to 25th ACM Conference on Economics and Computation, 2024
  4. J2
    Content Promotion for Online Content Platforms with the Diffusion Effect
    Yunduan Lin, Mengxin Wang, Heng Zhang, Renyu Zhang, and Zuo-Jun Max Shen
    Manufacturing & Service Operations Management, 26(3), 1062–1081, 2024
    Link PDF
    Research details
    Concepts social network, network diffusion, market dynamics, content promotion, network externality
    Methods data-driven optimization, diffusion model
    Domains user-generated content platform, social media, social network operations
    Data proprietary data from a short-video platform
    Awards & recognitions 3
    Winner, INFORMS Social Media Analytics Best Student Paper Award, 2022
    Second place, OR/MS Tomorrow Mini-poster Competition, 2022
    Finalist, INFORMS Minority Issues Forum Paper Competition, 2024
  5. W6
    Online Stochastic Allocation with Increasing Returns
    Shuo Sun, and Yunduan Lin
    2026
    Research details
    Concepts online allocation, increasing returns, market dynamics, sequential decision, learning-while-doing, network externality
    Methods optimization, competitive ratio, dynamic programming
    Domains resource allocation, platform operations, social network operations

AI and Machine Learning for Operations

  1. C3
    Bilevel Optimization of Agent Skills via Monte Carlo Tree Search
    Chenyi Huang , Haoting Zhang, Jingxu Xu, Zeyu Zheng, and Yunduan Lin
    Accepted at 2026 Winter Simulation Conference (WSC)
    Link PDF
    Research details
    Concepts agent skill, skill optimization
    Methods Monte Carlo tree search, bilevel optimization, simulation optimization, LLM-assisted optimization
    Domains AI agents, skill evolvement, OR for AI
  2. W4
    LLM Agents in Transportation-enabled Service Platforms: From Behavioral Simulation to Platform Decision Support
    Te Xu, Linxuan Shi, Haoting Zhang, Yunduan Lin, Hansheng Jiang, Donglin Zhan, Xiangyu Li, Zhaomiao Guo, Qixiu Cheng, and Zuo-Jun Max Shen
    Preprint, 2026
    Link
    Research details
    Concepts simulation, LLM-assisted decision-making
    Methods survey
    Domains transportation systems, smart city operations, OR for AI, AI for OR
  3. W1
    LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms
    Haoting Zhang, Yunduan Lin, Jinghai He, Denglin Jiang , Zuo-Jun Max Shen, and Zeyu Zheng
    Major Revision at INFORMS Journal of Data Science, 2026
    Link
    Research details
    Concepts policy evaluation, large-scale simulation, multi-source data, LLM-assisted decision-making
    Methods simulation, digital twin
    Domains social media, social network operations, user-generated content platform, AI agents, scalable network operations
    Data KuaiRand-Pure random-exposure data, Tsinghua ShortVideo sampled catalogue, VK-LSVD
  4. W3
    Beyond General Expertise: A Machine Learning Framework for Assessing Task-Level Decision Accuracy
    Wanxue Dong, Yunduan Lin, Dongcheng Zhang, and Weiquan Wang
    Under Review at Management Science, 2026
    Research details
    Concepts expert decision, decision accuracy assessment, multi-source data, LLM-assisted decision-making
    Methods machine learning, algorithm design
    Domains design science
    Data Kaggle, adult census income, hospital readmission rates
  5. C2
    Daily Physical Activity Monitoring—Adaptive Learning from Multi-source Motion Sensor Data
    Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, and Zeyu Zheng
    Conference on Health, Inference, and Learning (CHIL), 248, 39–54, 2024
    Link PDF
    Research details
    Concepts physical activity monitoring, wearable sensors, multi-source data
    Methods machine learning, time series data, transfer learning
    Domains healthcare analytics, mobile health
    Data UCI, daily and sports activity dataset
  6. C1
    Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS)
    Yifan Zheng, Yoonsuk Huh, Qianqian Su , Jiaming Wang , Yunduan Lin, Kai Vetter, and Youngho Seo
    Twenty-third International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 803–811, 2020
    Link PDF
    Research details
    Concepts medical imaging, targeted alpha therapy
    Methods weighted robust least squares
    Domains healthcare analytics, nuclear medicine
    Data medical imaging data
  7. J1
    Real-time Traffic Accidents Post-impact Prediction: Based on Crowdsourcing Data
    Yunduan Lin, and Ruimin Li
    Accident Analysis & Prevention, 145, 105696, 2020
    Link PDF
    Research details
    Concepts traffic accident prediction, real-time traffic, crowdsourcing platform
    Methods machine learning
    Domains smart city operations, transportation systems
    Data proprietary data from a mapping and navigation service

Grants

Harnessing the Power of Social Network Analytics for Enhanced Business Decision-Making
CUHK Improvement on Competitiveness in Hiring New Faculties Funding Scheme, PI, HKD 1,307,270, 2024-2027.
Optimal Design of the Referral Program for Two-Sided Platforms
Hong Kong Research Grants Council, Early Career Scheme, PI, HKD 454,062, 2026-2028.