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    Chapter and Conference Paper

    Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering

    In this paper, we propose a configurable topic modeling framework named Familia. Familia supports an important line of topic models that are widely applicable in text engineering scenarios. In order to relieve...

    Di Jiang, Yuanfeng Song, Rongzhong Lian in Database Systems for Advanced Applications (2021)

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    Chapter and Conference Paper

    Efficient and Robust Learning on Elaborated Gaits with Curriculum Learning

    Develo** efficient walking gaits for biomechanical robots is a difficult task that requires optimizing parameters in a continuous, multidimensional space. In this paper we present a new framework for learnin...

    Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian in The NeurIPS '18 Competition (2020)

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    Chapter and Conference Paper

    Federated Acoustic Model Optimization for Automatic Speech Recognition

    Traditional Automatic Speech Recognition (ASR) systems are usually trained with speech records centralized on the ASR vendor’s machines. However, with data regulations such as General Data Protection Regulatio...

    Conghui Tan, Di Jiang, Huaxiao Mo in Database Systems for Advanced Applications (2020)

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    Chapter and Conference Paper

    Artificial Intelligence for Prosthetics: Challenge Solutions

    In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector....

    Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty in The NeurIPS '18 Competition (2020)