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11/07/2022
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
Automatic Speech Recognition (ASR) systems typically yield output in lex...
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11/05/2022
Zero Touch Coordinated UAV Network Formation for 360° Views of a Moving Ground Target in Remote VR Applications
Unmanned aerial vehicles (UAVs) with on-board cameras are widely used fo...
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09/09/2022
Proactive and Resilient UAV Orchestration for QoS Driven Connectivity and Coverage of Ground Users
Unmanned aerial vehicles (UAVs) are being successfully used to deliver c...
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04/13/2022
Research on Intellectual Property Resource Profile and Evolution Law
In the era of big data, intellectual property-oriented scientific and te...
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03/21/2022
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information
Patent texts contain a large amount of entity information. Through named...
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02/22/2022
A SBP-SAT FDTD Subgridding Method Using Staggered Yee's Grids Without Modifying Field Components
A summation-by-parts simultaneous approximation term (SBP-SAT) finite-di...
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11/08/2021
Mimic: An adaptive algorithm for multivariate time series classification
Time series data are valuable but are often inscrutable. Gaining trust i...
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10/18/2021
A Stable FDTD Subgridding Scheme with SBP-SAT for Transient Electromagnetic Analysis
We proposed a provably stable FDTD subgridding method for accurate and e...
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06/11/2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
In online advertising, auto-bidding has become an essential tool for adv...
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02/23/2021
Greedy Multi-step Off-Policy Reinforcement Learning
Multi-step off-policy reinforcement learning has achieved great success....
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06/15/2020
The Limit of the Batch Size
Large-batch training is an efficient approach for current distributed de...
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11/11/2019
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
Learning a stable and generalizable centralized value function (CVF) is ...
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03/19/2019
Truly Proximal Policy Optimization
Proximal policy optimization (PPO) is one of the most successful deep re...
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02/15/2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations
In real-world scenarios, the observation data for reinforcement learning...
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01/29/2019
Trust Region-Guided Proximal Policy Optimization
Model-free reinforcement learning relies heavily on a safe yet explorato...
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01/15/2012