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Wen Dong 0001
Person information
- affiliation: SUNY at Buffalo, USA
Other persons with the same name
- Wen Dong 0002 — 28th Subsection of United Logistics, LanZhou Military Region of PLA, Xi'an, China
- Wen Dong 0003 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Wen Dong 0004 — Huanggang Normal Univ., Huanggang, China
- Wen Dong 0005 — Zhejiang University of Technology, Hangzhou, China
- Wen Dong 0006 — Harbin Engineering University, College of Information and Communication Engineering, China
- Wen Dong 0007 — Yunnan Normal University, School of Information Science and Technology, Kunming, China
- Wen Dong 0008 — Dalian University of Technology, China
- Wen Dong 0009 — Guangxi University, School of Electrical Engineering, Nanning, China
- Wen Dong 0010 — Northwest University, School of Mathematics, Xi'an, China
- Wen Dong 0011 — Hunan University, School of Information Science and Electronic Engineering, Changsha, China
- Wen Dong 0012 — Guizhou University, College of Big Data and Information Engineering, Guiyang, China
- Wen Dong 0013 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
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2020 – today
- 2022
- [j11]Wen Dong, Edmund Do, Byung Suk Lee, John Cohn:
Quantifying worker interactions and characterizing worker performance through ubiquitous IoT. Pervasive Mob. Comput. 87: 101702 (2022) - [j10]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): 450-461 (2022) - [j9]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): 10492-10503 (2022) - 2021
- [p1]Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz:
Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. Neuro-Symbolic Artificial Intelligence 2021: 235-252 - [i17]Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. CoRR abs/2101.00822 (2021) - [i16]Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. CoRR abs/2101.00828 (2021) - [i15]Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR abs/2108.06080 (2021) - 2020
- [j8]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: 171528-171541 (2020) - [j7]Fan Yang, Wen Dong:
Integrating simulation and signal processing in tracking complex social systems. Comput. Math. Organ. Theory 26(1): 1-22 (2020) - [j6]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): 350-364 (2020) - [c34]Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong:
Variational Adversarial Kernel Learned Imitation Learning. AAAI 2020: 6599-6606 - [c33]Fan Yang, Bruno Lepri, Wen Dong:
Optimal Control in Partially Observable Complex Social Systems. AAMAS 2020: 1557-1565 - [c32]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: 1132007 - [c31]Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong:
Bayesian Multi-type Mean Field Multi-agent Imitation Learning. NeurIPS 2020 - [i14]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 abs/2002.01599 (2020) - [i13]Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang:
Stable and Efficient Policy Evaluation. CoRR abs/2006.03978 (2020)
2010 – 2019
- 2019
- [j5]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): 41:1-41:23 (2019) - [j4]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): 1831-1840 (2019) - [c30]Fan Yang, Bo Liu, Wen Dong:
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. AAMAS 2019: 296-304 - [c29]Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. EMNLP/IJCNLP (1) 2019: 3944-3954 - [c28]Alina Vereshchaka, Wen Dong:
Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment. SBP-BRiMS 2019: 123-132 - [c27]Alina Vereshchaka, Nathan Margaglio, Wen Dong:
Reducing Risks During Natural Disasters With Optimal Resource Allocation By Multi-Agent Optimization. WSC 2019: 714-725 - [c26]Fan Yang, Alina Vereshchaka, Wen Dong:
Optimizing Complex Interaction Dynamics in Critical Infrastructure with a Stochastic Kinetic Model. WSC 2019: 1672-1683 - [i12]Wen Dong, Bo Liu, Fan Yang:
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. CoRR abs/1905.02606 (2019) - [i11]Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao:
PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms. CoRR abs/1905.02607 (2019) - [i10]Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong:
Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements. CoRR abs/1906.05093 (2019) - [i9]Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. CoRR abs/1908.11527 (2019) - 2018
- [c25]Fan Yang, Alina Vereshchaka, Wen Dong:
Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles. IEEE BigData 2018: 173-180 - 2017
- [j3]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: 43-55 (2017) - [c24]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: 1-6 - [c23]Tong Guan, Le Fang, Wen Dong, Yunfei Hou, Chunming Qiao:
Indoor localization with asymmetric grid-based filters in large areas utilizing smartphones. ICC 2017: 1-6 - [c22]Tong Guan, Le Fang, Wen Dong, Chunming Qiao:
Robust indoor localization with smartphones through statistical filtering. ICNC 2017: 260-264 - [c21]Le Fang, Fan Yang, Wen Dong, Tong Guan, Chunming Qiao:
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems. NIPS 2017: 2029-2039 - [c20]Fan Yang, Wen Dong:
Integrating Simulation and Signal Processing with Stochastic Social Kinetic Model. SBP-BRiMS 2017: 193-203 - [c19]Tong Guan, Wen Dong, Dimitrios Koutsonikolas, Chunming Qiao:
Fine-Grained Location Extraction and Prediction with Little Known Data. WCNC 2017: 1-6 - [i8]Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz:
O2TD: (Near)-Optimal Off-Policy TD Learning. CoRR abs/1704.05147 (2017) - 2016
- [c18]Wen Dong:
Variational Inference with Agent-Based Models. AAMAS 2016: 854-863 - [c17]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: 340-341 - [c16]Zhen Xu, Wen Dong, Sargur N. Srihari:
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model. NIPS 2016: 2775-2783 - [i7]Wen Dong:
Variational Inference with Agent-Based Models. CoRR abs/1605.04360 (2016) - [i6]Zhen Xu, Wen Dong, Sargur N. Srihari:
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model. CoRR abs/1611.02181 (2016) - 2015
- [c15]Tong Guan, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen, Chunming Qiao:
Robust, Cost-Effective and Scalable Localization in Large Indoor Areas. GLOBECOM 2015: 1-6 - [c14]Wen Dong:
Weaving multi-agent modeling and big data for stochastic process inference. WSC 2015: 713-724 - [i5]Neeti Pokhriyal, Wen Dong, Venu Govindaraju:
Virtual Networks and Poverty Analysis in Senegal. CoRR abs/1506.03401 (2015) - 2013
- [j2]Wen Dong, Bruno Lepri, Fabio Pianesi, Alex Pentland:
Modeling Functional Roles Dynamics in Small Group Interactions. IEEE Trans. Multim. 15(1): 83-95 (2013) - 2012
- [j1]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): 77-86 (2012) - [c13]Wen Dong, Daniel Olguín Olguín, Benjamin N. Waber, Taemie Kim, Alex Pentland:
Mapping Organizational Dynamics with Body Sensor Networks. BSN 2012: 130-135 - [c12]Wen Dong, Bruno Lepri, Taemie Kim, Fabio Pianesi, Alex 'Sandy' Pentland:
Modeling conversational dynamics and performance in a Social Dilemma task. ISCCSP 2012: 1-4 - [c11]Wen Dong, Katherine A. Heller, Alex Pentland:
Modeling Infection with Multi-agent Dynamics. SBP 2012: 172-179 - [c10]Wen Dong, Alex Pentland, Katherine A. Heller:
Graph-Coupled HMMs for Modeling the Spread of Infection. UAI 2012: 227-236 - [i4]Wen Dong, Katherine A. Heller, Alex Pentland:
Modeling Infection with Multi-agent Dynamics. CoRR abs/1204.0168 (2012) - [i3]Wen Dong, Bruno Lepri, Alex Pentland:
Automatic Prediction Of Small Group Performance In Information Sharing Tasks. CoRR abs/1204.3698 (2012) - [i2]Wen Dong, Alex Pentland, Katherine A. Heller:
Graph-Coupled HMMs for Modeling the Spread of Infection. CoRR abs/1210.4864 (2012) - 2011
- [c9]Wen Dong, Bruno Lepri, Alex Pentland:
Modeling the co-evolution of behaviors and social relationships using mobile phone data. MUM 2011: 134-143 - 2010
- [c8]Wen Dong, Alex Pentland:
Quantifying group problem solving with stochastic analysis. ICMI-MLMI 2010: 40:1-40:4 - [i1]Wei Pan, Manuel Cebrián, Wen Dong, Taemie Kim, Alex Pentland:
Modeling Dynamical Influence in Human Interaction Patterns. CoRR abs/1009.0240 (2010)
2000 – 2009
- 2009
- [c7]Wen Dong, Alex Pentland:
A Network Analysis of Road Traffic with Vehicle Tracking Data. AAAI Spring Symposium: Human Behavior Modeling 2009: 7-12 - [c6]Wen Dong, Taemie Kim, Alex Pentland:
A quantitative analysis of the collective creativity in playing 20-questions games. Creativity & Cognition 2009: 365-366 - 2007
- [c5]Wen Dong, Alex Pentland:
Modeling Influence Between Experts. Artifical Intelligence for Human Computing 2007: 170-189 - [c4]Wen Dong, Bruno Lepri, Alessandro Cappelletti, Alex Pentland, Fabio Pianesi, Massimo Zancanaro:
Using the influence model to recognize functional roles in meetings. ICMI 2007: 271-278 - 2006
- [c3]Wen Dong, Alex Pentland:
Multi-sensor Data Fusion Using the Influence Model. BSN 2006: 72-75 - [c2]Wen Dong, Jonathan Gips, Alex Pentland:
A 'need to know' system for group classification. ICMI 2006: 155-161 - [c1]Alex Pentland, Jonathan Gips, Wen Dong, Will Stoltzman:
Human computing for interactive digital media. ACM Multimedia 2006: 865-870
Coauthor Index
aka: Alex 'Sandy' Pentland
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