
Adapting OfftheShelf Source Segmenter for Target Medical Image Segmentation
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned ...
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U2++: Unified Twopass Bidirectional Endtoend Model for Speech Recognition
The unified streaming and nonstreaming twopass (U2) endtoend model f...
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Composite Localization for Human Pose Estimation
The existing human pose estimation methods are confronted with inaccurat...
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FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting
With the goal of predicting the future rainfall intensity in a local reg...
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Low Rank Approximation in Simulations of Quantum Algorithms
Simulating quantum algorithms on classical computers is challenging when...
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Randomized Algorithms for Scientific Computing (RASC)
Randomized algorithms have propelled advances in artificial intelligence...
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WeNet: Production First and Production Ready EndtoEnd Speech Recognition Toolkit
In this paper, we present a new open source, production first and produc...
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A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems
We propose a flexible power method for computing the leftmost, i.e., alg...
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SymmetricConstrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Deformable registration of magnetic resonance images between patients wi...
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VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Deep learning has great potential for accurate detection and classificat...
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Learning content and context with language bias for Visual Question Answering
Visual Question Answering (VQA) is a challenging multimodal task to answ...
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PPGN: PhraseGuided Proposal Generation Network For Referring Expression Comprehension
Reference expression comprehension (REC) aims to find the location that ...
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Unified Streaming and Nonstreaming Twopass Endtoend Model for Speech Recognition
In this paper, we present a novel twopass approach to unify streaming a...
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Enhancing Scalability of a MatrixFree Eigensolver for Studying ManyBody Localization
In [Van Beeumen, et. al, HPC Asia 2020, https://www.doi.org/10.1145/3368...
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Progressively Stacking 2.0: A Multistage Layerwise Training Method for BERT Training Speedup
Pretrained language models, such as BERT, have achieved significant acc...
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CoRe: An Efficient Coarserefined Training Framework for BERT
In recent years, BERT has made significant breakthroughs on many natural...
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FaultAware Robust Control via Adversarial Reinforcement Learning
Robots have limited adaptation ability compared to humans and animals in...
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Adversarial Skill Learning for Robust Manipulation
Deep reinforcement learning has made significant progress in robotic man...
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aTucker: InputAdaptive and MatricizationFree Tucker Decomposition for Dense Tensors on CPUs and GPUs
Tucker decomposition is one of the most popular models for analyzing and...
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Solving the ksparse Eigenvalue Problem with Reinforcement Learning
We examine the possibility of using a reinforcement learning (RL) algori...
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Parallel finite volume simulation of the spherical shell dynamo with pseudovacuum magnetic boundary conditions
In this paper, we study the parallel simulation of the magnetohydrodynam...
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Parallel multilevel restricted Schwarz preconditioners for implicit simulation of subsurface flows with PengRobinson equation of state
Parallel algorithms and simulators with good scalabilities are particula...
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Rethinking Image Inpainting via a Mutual EncoderDecoder with Feature Equalizations
Deep encoderdecoder based CNNs have advanced image inpainting methods f...
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AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
This paper targets on learningbased novel view synthesis from a single ...
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Parallel energystable solver for a coupled AllenCahn and CahnHilliard system
In this paper, we study numerical methods for solving the coupled Allen...
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On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters
The predominance of KohnSham density functional theory (KSDFT) for the...
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Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity
Despite numerous efforts for optimizing the performance of Sparse Matrix...
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A Multilevel Spectral Indicator Method for Eigenvalues of Large NonHermitian Matrices
Recently a novel family of eigensolvers, called spectral indicator metho...
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Misregistration Measurement and Improvement for Sentinel1 SAR and Sentinel2 Optical images
Coregistering the Sentinel1 SAR and Sentinel2 optical data of Europea...
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Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
CoRegistration of aerial imagery and Light Detection and Ranging (LiDAR...
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PFNN: A PenaltyFree Neural Network Method for Solving a Class of SecondOrder BoundaryValue Problems on Complex Geometries
We present PFNN, a penaltyfree neural network method, to efficiently so...
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Efficient Alternating Least Squares Algorithms for Truncated HOSVD of HigherOrder Tensors
The truncated Tucker decomposition, also known as the truncated highero...
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OneShot Domain Adaptation For Face Generation
In this paper, we propose a framework capable of generating face images ...
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Quantum Fourier Transform Revisited
The fast Fourier transform (FFT) is one of the most successful numerical...
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OneStage Inpainting with Bilateral Attention and Pyramid Filling Block
Recent deep learning based image inpainting methods which utilize contex...
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Towards Disentangled Representations for Human Retargeting by Multiview Learning
We study the problem of learning disentangled representations for data a...
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Unconstrained Facial Expression Transfer using Stylebased Generator
Facial expression transfer and reenactment has been an important researc...
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BoundaryAware Salient Object Detection via Recurrent TwoStream Guided Refinement Network
Recent deep learning based salient object detection methods which utiliz...
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Constrained RCNN: A general image manipulation detection model
Recently, deep learningbased models have exhibited remarkable performan...
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Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
In this paper, we study Reinforcement Learning from Demonstrations (RLfD...
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Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
This paper studies Learning from Observations (LfO) for imitation learni...
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A Shift Selection Strategy for Parallel ShiftInvert Spectrum Slicing in Symmetric SelfConsistent Eigenvalue Computation
The central importance of large scale eigenvalue problems in scientific ...
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ContextIntegrated and FeatureRefined Network for Lightweight Urban Scene Parsing
Semantic segmentation for lightweight urban scene parsing is a very chal...
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Using Chinese Characters To Generate TextBased Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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Dependencyaware Attention Control for Unconstrained Face Recognition with Image Sets
This paper targets the problem of image setbased face verification and ...
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Coherent Semantic Attention for Image Inpainting
The latest deep learningbased approaches have shown promising results f...
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Deep Learning: Extrapolation Tool for Ab Initio Nuclear Theory
Ab initio approaches in nuclear theory, such as the NoCore Shell Model ...
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Textbased Passwords Generated From Topological Graphic Passwords
Topological graphic passwords (Topsnutgpws) are one of graphtype passw...
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A Survey on Deep Transfer Learning
As a new classification platform, deep learning has recently received in...
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A user model for JNDbased video quality assessment: theory and applications
The video quality assessment (VQA) technology has attracted a lot of att...
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Chao Yang
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Postdoctoral Researcher at Media Communications Lab (MCL) in University of Southern California (USC)