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01/24/2020
Active Task-Inference-Guided Deep Inverse Reinforcement Learning
In inverse reinforcement learning (IRL), given a Markov decision process...
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01/06/2020
Audio-visual Recognition of Overlapped speech for the LRS2 dataset
Automatic recognition of overlapped speech remains a highly challenging ...
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11/28/2019
GraphZero: Breaking Symmetry for Efficient Graph Mining
Graph mining for structural patterns is a fundamental task in many appli...
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11/18/2019
Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization
This paper studies a two-player game with a quantitative surveillance re...
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09/30/2019
The Dirichlet Mechanism for Differential Privacy on the Unit Simplex
As members of a network share more information with each other and netwo...
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09/22/2019
Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach
This paper develops a controller synthesis approach for a multi-agent sy...
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09/12/2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Incorporating high-level knowledge is an effective way to expedite reinf...
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07/09/2019
Improving Reverberant Speech Training Using Diffuse Acoustic Simulation
We present an efficient and realistic geometric sound simulation approac...
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04/25/2019
Reward-Based Deception with Cognitive Bias
Deception plays a key role in adversarial or strategic interactions for ...
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03/30/2018
POMDP Model Learning for Human Robot Collaboration
Recent years have seen human robot collaboration (HRC) quickly emerged a...
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03/20/2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning
Sponsored search is an indispensable business model and a major revenue ...
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02/27/2018
Privacy Preserving Controller Synthesis via Belief Abstraction
Privacy is a crucial concern in many systems in addition to their given ...
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02/15/2018
Synthesis of Insertion Functions to Enforce Decentralized and Joint Opacity Properties of Discrete-event Systems
Opacity is a confidentiality property that characterizes the non-disclos...
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02/13/2018
Parameter and Insertion Function Co-synthesis for Opacity Enhancement in Parametric Stochastic Discrete Event Systems
Opacity is a property that characterizes the system's capability to keep...
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12/29/2017
Beyond Keywords and Relevance: A Personalized Ad Retrieval Framework in E-Commerce Sponsored Search
On most sponsored search platforms, advertisers bid on some keywords for...
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12/10/2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Convolutional neural networks (CNNs) can be applied to graph similarity ...
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07/19/2017
Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a pa...
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05/31/2017
A Learning Based Optimal Human Robot Collaboration with Linear Temporal Logic Constraints
This paper considers an optimal task allocation problem for human robot ...
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05/29/2017
Distributed Communication-aware Motion Planning for Multi-agent Systems from STL and SpaTeL Specifications
In future intelligent transportation systems, networked vehicles coordin...
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04/11/2017
Feature Selection Parallel Technique for Remotely Sensed Imagery Classification
Remote sensing research focusing on feature selection has long attracted...
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11/08/2015
