Wen Dong

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 41

Top Topics

Indoor Localization

Imitation Learning

Variational Inference

Top Venues

Publications

Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong
Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
TDM: Trustworthy Decision-Making Via Interpretability Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Yan Shen, Fan Yang, Mingchen Gao, Wen Dong
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model. CoRR (2022)
Wen Dong, Edmund Do, Byung Suk Lee, John Cohn
Quantifying worker interactions and characterizing worker performance through ubiquitous IoT. Pervasive Mob. Comput. 87 (2022)
Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR (2021)
Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. CoRR (2021)
Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. CoRR (2021)
Fan Yang, Wen Dong
Integrating simulation and signal processing in tracking complex social systems. Comput. Math. Organ. Theory 26 (1) (2020)
Brendon Lutnick, Brandon Ginley, Kuang-Yu Jen, Wen Dong, Pinaki Sarder
Generative modeling for label-free glomerular modeling and classification. Medical Imaging: Digital Pathology (2020)
Fan Yang, Bruno Lepri, Wen Dong
Optimal Control in Partially Observable Complex Social Systems. AAMAS (2020)
Brendon Lutnick, Wen Dong, Zohar Nussinov, Pinaki Sarder
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology. CoRR (2020)
Alina Vereshchaka, Seth Cosimini, Wen Dong
Analyzing and distinguishing fake and real news to mitigate the problem of disinformation. Comput. Math. Organ. Theory 26 (3) (2020)
Luckyson Khaidem, Massimiliano Luca, Fan Yang, Ankit Anand, Bruno Lepri, Wen Dong
Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework. IEEE Access 8 (2020)
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
Stable and Efficient Policy Evaluation. CoRR (2020)
Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong
Bayesian Multi-type Mean Field Multi-agent Imitation Learning. NeurIPS (2020)
Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong
Variational Adversarial Kernel Learned Imitation Learning. AAAI (2020)
Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
PocketCare: Tracking the Flu with Mobile Phones Using Partial Observations of Proximity and Symptoms. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (2) (2019)
Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms. CoRR (2019)
Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong
Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements. CoRR (2019)
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
Stable and Efficient Policy Evaluation. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Fan Yang, Bo Liu, Wen Dong
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. AAMAS (2019)
Wen Dong, Bo Liu, Fan Yang
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. CoRR (2019)
Fan Yang, Alina Vereshchaka, Wen Dong
Optimizing Complex Interaction Dynamics in Critical Infrastructure with a Stochastic Kinetic Model. WSC (2019)
Alina Vereshchaka, Nathan Margaglio, Wen Dong
Reducing Risks During Natural Disasters With Optimal Resource Allocation By Multi-Agent Optimization. WSC (2019)
Alina Vereshchaka, Wen Dong
Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment. SBP-BRiMS (2019)
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
Implicit Deep Latent Variable Models for Text Generation. EMNLP/IJCNLP (1) (2019)
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
Implicit Deep Latent Variable Models for Text Generation. CoRR (2019)
Fan Yang, Alina Vereshchaka, Wen Dong
Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles. IEEE BigData (2018)
Fan Yang, Wen Dong
Integrating Simulation and Signal Processing with Stochastic Social Kinetic Model. SBP-BRiMS (2017)
Tong Guan, Zhaobo Zhang, Wen Dong, Chunming Qiao, Xinli Gu
Data-driven fault diagnosis with missing syndromes imputation for functional test through conditional specification. ETS (2017)
Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz
TD: (Near)-Optimal Off-Policy TD Learning. CoRR (2017)
Tong Guan, Le Fang, Wen Dong, Chunming Qiao
Robust indoor localization with smartphones through statistical filtering. ICNC (2017)
Le Fang, Fan Yang, Wen Dong, Tong Guan, Chunming Qiao
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems. NIPS (2017)
Tong Guan, Le Fang, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen, Chunming Qiao
Robust, cost-effective and scalable localization in large indoor areas. Comput. Networks 120 (2017)
Tong Guan, Wen Dong, Dimitrios Koutsonikolas, Chunming Qiao
Fine-Grained Location Extraction and Prediction with Little Known Data. WCNC (2017)
Tong Guan, Le Fang, Wen Dong, Yunfei Hou, Chunming Qiao
Indoor localization with asymmetric grid-based filters in large areas utilizing smartphones. ICC (2017)
Zhen Xu, Wen Dong, Sargur N. Srihari
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model. CoRR (2016)
Zhen Xu, Wen Dong, Sargur N. Srihari
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model. NIPS (2016)
Wen Dong
Variational Inference with Agent-Based Models. CoRR (2016)
Wen Dong
Variational Inference with Agent-Based Models. AAMAS (2016)
Le Fang, Tong Guan, Wen Dong, Chunming Qiao
Tracking the Diffusion of Contact-Induced Disease from Social Interactions and Limited Observations of Symptoms. CHASE (2016)
Neeti Pokhriyal, Wen Dong, Venu Govindaraju
Virtual Networks and Poverty Analysis in Senegal. CoRR (2015)
Tong Guan, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen, Chunming Qiao
Robust, Cost-Effective and Scalable Localization in Large Indoor Areas. GLOBECOM (2015)
Wen Dong
Weaving multi-agent modeling and big data for stochastic process inference. WSC (2015)
Wen Dong, Bruno Lepri, Fabio Pianesi, Alex Pentland
Modeling Functional Roles Dynamics in Small Group Interactions. IEEE Trans. Multim. 15 (1) (2013)
Wen Dong, Katherine A. Heller, Alex Pentland
Modeling Infection with Multi-agent Dynamics CoRR (2012)
Wen Dong, Katherine A. Heller, Alex Pentland
Modeling Infection with Multi-agent Dynamics. SBP (2012)
Wen Dong, Daniel Olguín Olguín, Benjamin N. Waber, Taemie Kim, Alex Pentland
Mapping Organizational Dynamics with Body Sensor Networks. BSN (2012)
Wen Dong, Bruno Lepri, Alex Pentland
Automatic Prediction Of Small Group Performance In Information Sharing Tasks CoRR (2012)
Wen Dong, Alex Pentland, Katherine A. Heller
Graph-Coupled HMMs for Modeling the Spread of Infection CoRR (2012)
Wen Dong, Alex Pentland, Katherine A. Heller
Graph-Coupled HMMs for Modeling the Spread of Infection. UAI (2012)
Wen Dong, Bruno Lepri, Taemie Kim, Fabio Pianesi, Alex 'Sandy' Pentland
Modeling conversational dynamics and performance in a Social Dilemma task. ISCCSP (2012)
Wei Pan, Wen Dong, Manuel Cebrián, Taemie Kim, James H. Fowler, Alex Pentland
Modeling Dynamical Influence in Human Interaction: Using data to make better inferences about influence within social systems. IEEE Signal Process. Mag. 29 (2) (2012)
Wen Dong, Bruno Lepri, Alex Pentland
Modeling the co-evolution of behaviors and social relationships using mobile phone data. MUM (2011)
Wei Pan, Manuel Cebrián, Wen Dong, Taemie Kim, Alex Pentland
Modeling Dynamical Influence in Human Interaction Patterns CoRR (2010)
Wen Dong, Alex Pentland
Quantifying group problem solving with stochastic analysis. ICMI-MLMI (2010)
Wen Dong, Taemie Kim, Alex Pentland
A quantitative analysis of the collective creativity in playing 20-questions games. Creativity & Cognition (2009)
Wen Dong, Alex Pentland
A Network Analysis of Road Traffic with Vehicle Tracking Data. AAAI Spring Symposium: Human Behavior Modeling (2009)
Wen Dong, Alex Pentland
Modeling Influence Between Experts. Artifical Intelligence for Human Computing (2007)
Wen Dong, Bruno Lepri, Alessandro Cappelletti, Alex Pentland, Fabio Pianesi, Massimo Zancanaro
Using the influence model to recognize functional roles in meetings. ICMI (2007)
Wen Dong, Alex Pentland
Multi-sensor Data Fusion Using the Influence Model. BSN (2006)
Alex Pentland, Jonathan Gips, Wen Dong, Will Stoltzman
Human computing for interactive digital media. ACM Multimedia (2006)
Wen Dong, Jonathan Gips, Alex Pentland
A 'need to know' system for group classification. ICMI (2006)