Long Wang

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Johns Hopkins University ∙ Columbia University

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Optimal control of robust team stochastic games

In stochastic dynamic environments, team stochastic games have emerged a...
05/16/2021 ∙ by Feng Huang, et al. ∙ 0 ∙ share

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BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function

This paper proposes an automatic Chinese text categorization method for ...
04/09/2021 ∙ by Zhongju Wang, et al. ∙ 0 ∙ share

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Learning enables adaptation in cooperation for multi-player stochastic games

Interactions among individuals in natural populations often occur in a d...
07/29/2020 ∙ by Feng Huang, et al. ∙ 0 ∙ share

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Dual Temporal Memory Network for Efficient Video Object Segmentation

Video Object Segmentation (VOS) is typically formulated in a semi-superv...
03/13/2020 ∙ by Kaihua Zhang, et al. ∙ 3 ∙ share

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Transparently Capturing Request Execution Path for Anomaly Detection

With the increasing scale and complexity of cloud systems and big data a...
01/20/2020 ∙ by Yong Yang, et al. ∙ 0 ∙ share

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Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent

Multiple sequence to sequence models were used to establish an end-to-en...
07/08/2019 ∙ by Zelin Dai, et al. ∙ 1 ∙ share

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Modal-based Kinematics and Contact Detection of Soft Robots

Soft robots offer an alternative approach to manipulate inside the const...
06/27/2019 ∙ by Yue Chen, et al. ∙ 0 ∙ share

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Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems

Stochastic approximation (SA) algorithms have been widely applied in min...
06/23/2019 ∙ by Jingyi Zhu, et al. ∙ 0 ∙ share

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Simplified Kinematics of Continuum Robot Equilibrium Modulation via Moment Coupling Effects and Model Calibration

Recently, a new concept for continuum robots capable of producing macro-...
06/09/2019 ∙ by Long Wang, et al. ∙ 0 ∙ share

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Tendon-driven Underactuated Hand Design via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces

Grasp synergies represent a useful idea to reduce grasping complexity wi...
05/27/2019 ∙ by Tianjian Chen, et al. ∙ 0 ∙ share

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A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration

The Gaussian stochastic process (GaSP) is a useful technique for predict...
07/10/2018 ∙ by Mengyang Gu, et al. ∙ 0 ∙ share

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Medical Technologies and Challenges of Robot Assisted Minimally Invasive Intervention and Diagnostics

Emerging paradigms furthering the reach of medical technology deeper int...
07/10/2018 ∙ by Nabil Simaan, et al. ∙ 0 ∙ share

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Fortran interface layer of the framework for developing particle simulator FDPS

Numerical simulations based on particle methods have been widely used in...
04/24/2018 ∙ by Daisuke Namekata, et al. ∙ 0 ∙ share

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Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery

In this work, we develop an approach for guiding robots to automatically...
11/19/2017 ∙ by Hadi Salman, et al. ∙ 0 ∙ share

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