Wen Dong - RankMe

63 papers A* 3A 4B 8C 2Misc 4Journal 28Unranked 13

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