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11/21/2022
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks
To efficiently perform inference with neural networks, the underlying te...
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02/19/2021
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Speech separation is an important problem in speech processing, which ta...
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12/22/2020
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Domain adaptation on time series data is an important but challenging ta...
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10/24/2020
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Non-parallel many-to-many voice conversion is recently attract-ing huge ...
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06/10/2020
Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging
While deep learning technologies are now capable of generating realistic...
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10/13/2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Data-driven models are becoming essential parts in modern mechanical sys...
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05/23/2019
Causal Discovery with Cascade Nonlinear Additive Noise Models
Identification of causal direction between a causal-effect pair from obs...
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12/03/2018
Data Driven Chiller Plant Energy Optimization with Domain Knowledge
Refrigeration and chiller optimization is an important and well studied ...
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11/16/2017
An Encoder-Decoder Framework Translating Natural Language to Database Queries
Machine translation is going through a radical revolution, driven by the...
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11/03/2017
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
Elasticity is highly desirable for stream processing systems to guarante...
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07/05/2017
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee
Causation discovery without manipulation is considered a crucial problem...
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09/07/2016
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing
Traditional dehazing techniques, as a well studied topic in image proces...
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02/13/2016
