
Hitting Weighted Even Cycles in Planar Graphs
A classical branch of graph algorithms is graph transversals, where one ...
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Safe Exploration by Solving Early Terminated MDP
Safe exploration is crucial for the realworld application of reinforcem...
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PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Great research interests have been attracted to devise AI services that ...
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AdsGNN: BehaviorGraph Augmented Relevance Modeling in Sponsored Search
Sponsored search ads appear next to search results when people look for ...
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Iteration complexity analysis of a partial LQPbased alternating direction method of multipliers
In this paper, we consider a prototypical convex optimization problem wi...
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Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes
In this paper, we develop a symmetric accelerated stochastic Alternating...
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Treatment Allocation under Uncertain Costs
We consider the problem of learning how to optimally allocate treatments...
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StructurePreserving Progressive Lowrank Image Completion for Defending Adversarial Attacks
Deep neural networks recognize objects by analyzing local image details ...
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TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Text encoders based on CDSSM or transformers have demonstrated strong p...
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On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Imitation learning from observation (LfO) is more preferable than imitat...
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A Human Ear Reconstruction Autoencoder
The ear, as an important part of the human head, has received much less ...
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Extracting fullfield subpixel structural displacements from videos via deep learning
This paper develops a deep learning framework based on convolutional neu...
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Bayesian tensor learning for structural monitoring data imputation and response forecasting
There has been increased interest in missing sensor data imputation, whi...
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Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting
There has been increased interest in missing sensor data imputation, whi...
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Nonlocal Policy Optimization via Diversityregularized Collaborative Exploration
Conventional Reinforcement Learning (RL) algorithms usually have one sin...
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Physics informed deep learning for computational elastodynamics without labeled data
Numerical methods such as finite element have been flourishing in the pa...
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MultiSpeech: MultiSpeaker Text to Speech with Transformer
Transformerbased text to speech (TTS) model (e.g., Transformer TTS <cit...
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Sparse representation for damage identification of structural systems
Identifying damage of structural systems is typically characterized as a...
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Novel Policy Seeking with Constrained Optimization
In this work, we address the problem of learning to seek novel policies ...
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Deep learning of physical laws from scarce data
Harnessing data to discover the underlying governing laws or equations t...
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Evolutionary Stochastic Policy Distillation
Solving the GoalConditioned Reward Sparse (GCRS) task is a challenging ...
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LightPAFF: A TwoStage Distillation Framework for Pretraining and Finetuning
While pretraining and finetuning, e.g., BERT <cit.>, GPT2 <cit.>, hav...
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Reciprocal Learning Networks for Human Trajectory Prediction
We observe that the human trajectory is not only forward predictable, bu...
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Existence of an equilibrium for pure exchange economy with fuzzy preferences
This paper focuses on a new model to reach the existence of equilibrium ...
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Physicsinformed deep learning for incompressible laminar flows
Physicsinformed deep learning (PIDL) has drawn tremendous interest in r...
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PhysicsInformed MultiLSTM Networks for Metamodeling of Nonlinear Structures
This paper introduces an innovative physicsinformed deep learning frame...
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Unsupervised Star Galaxy Classification with Cascade Variational AutoEncoder
The increasing amount of data in astronomy provides great challenges for...
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Policy Continuation with Hindsight Inverse Dynamics
Solving goaloriented tasks is an important but challenging problem in r...
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MixModule: Mixed CNN Kernel Module for Medical Image Segmentation
Convolutional neural networks (CNNs) have been successfully applied to m...
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GetNet: Get Target Area for Image Pairing
Image pairing is an important research task in the field of computer vis...
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Physicsguided Convolutional Neural Network (PhyCNN) for Datadriven Seismic Response Modeling
Seismic events, among many other natural hazards, reduce due functionali...
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Snowball: Iterative Model Evolution and Confident Sample Discovery for SemiSupervised Learning on Very Small Labeled Datasets
In this work, we develop a joint sample discovery and iterative model ev...
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Adaptive Regularization of Labels
Recently, a variety of regularization techniques have been widely applie...
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ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (PRM) after Weight Pruning
The stateofart DNN structures involve high computation and great deman...
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Computeraided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
Uterine cancer, also known as endometrial cancer, can seriously affect t...
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TokenLevel Ensemble Distillation for GraphemetoPhoneme Conversion
Graphemetophoneme (G2P) conversion is an important task in automatic s...
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Comparison Network for OneShot Conditional Object Detection
The current advances in object detection depend on largescale datasets ...
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Learning Fast Matching Models from Weak Annotations
This paper proposes a novel training scheme for fast matching models in ...
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R2CNN++: MultiDimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy
Object detection plays a vital role in natural scene and aerial scene an...
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IntRepair: Informed Fixing of Integer Overflows
Integer overflows have threatened software applications for decades. Thu...
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Position Detection and Direction Prediction for ArbitraryOriented Ships via Multiscale Rotation Region Convolutional Neural Network
Ship detection is of great importance and full of challenges in the fiel...
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Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on MultiScale Rotation Dense Feature Pyramid Networks
Ship detection has been playing a significant role in the field of remot...
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Attention Incorporate Network: A network can adapt various data size
In traditional neural networks for image processing, the inputs of the n...
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Progressive Neural Networks for Image Classification
The inference structures and computational complexity of existing deep n...
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Hyperspectral Unmixing with Endmember Variability using Semisupervised Partial Membership Latent Dirichlet Allocation
A semisupervised Partial Membership Latent Dirichlet Allocation approac...
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Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji
Emojis, as a new way of conveying nonverbal cues, are widely adopted in ...
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Mapguided Hyperspectral Image Superpixel Segmentation Using Proportion Maps
A mapguided superpixel segmentation method for hyperspectral imagery is...
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Hao Sun
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