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06/07/2023
High-order Compact Gas-kinetic Scheme for Two-layer Shallow Water Equations on Unstructured Mesh
For the two-layer shallow water equations, a high-order compact gas-kine...
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04/19/2023
Implicit high-order gas-kinetic schemes for compressible flows on three-dimensional unstructured meshes
In the previous studies, the high-order gas-kinetic schemes (HGKS) have ...
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02/13/2023
An entropy preserving implicit unified gas-kinetic wave-particle method for radiative transport equation
In this paper, an implicit unified gas-kinetic wave-particle method is d...
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12/27/2022
Semantic optical fiber communication system
The current optical communication systems minimize bit or symbol errors ...
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12/25/2022
PaletteNeRF: Palette-based Color Editing for NeRFs
Neural Radiance Field (NeRF) is a powerful tool to faithfully generate n...
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07/17/2022
Neural Color Operators for Sequential Image Retouching
We propose a novel image retouching method by modeling the retouching pr...
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07/04/2022
Discourse-Aware Graph Networks for Textual Logical Reasoning
Textual logical reasoning, especially question answering (QA) tasks with...
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05/02/2022
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
Graph contrastive learning (GCL), as a popular approach to graph self-su...
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04/27/2022
Distant finetuning with discourse relations for stance classification
Approaches for the stance classification task, an important task for und...
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04/11/2022
Zero-shot Cross-lingual Conversational Semantic Role Labeling
While conversational semantic role labeling (CSRL) has shown its usefuln...
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03/17/2022
Three-dimensional third-order gas-kinetic scheme on hybrid unstructured meshes for Euler and Navier-Stokes equations
In this paper, a third order gas kinetic scheme is developed on the thre...
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09/23/2021
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
Conversational semantic role labeling (CSRL) is believed to be a crucial...
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09/10/2021
Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Resolving pronouns to their referents has long been studied as a fundame...
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08/28/2021
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
We consider using untrained neural networks to solve the reconstruction ...
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07/12/2021
A gradient-compression-based compact high-order gas-kinetic scheme on three-dimensional hybrid unstructured mesh
In this paper, the compact gas-kinetic scheme for compressible flow is e...
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05/28/2021
Domain-Adaptive Pretraining Methods for Dialogue Understanding
Language models like BERT and SpanBERT pretrained on open-domain data ha...
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05/10/2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
(Partial) ranking loss is a commonly used evaluation measure for multi-l...
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04/11/2021
Conversational Semantic Role Labeling
Semantic role labeling (SRL) aims to extract the arguments for each pred...
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04/09/2021
Video-aided Unsupervised Grammar Induction
We investigate video-aided grammar induction, which learns a constituenc...
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02/16/2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Graph Neural Networks (GNNs) have recently shown to be powerful tools fo...
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02/12/2021
Structural Information Preserving for Graph-to-Text Generation
The task of graph-to-text generation aims at producing sentences that pr...
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02/02/2021
Two-step multi-resolution reconstruction-based compact gas-kinetic scheme on tetrahedral mesh
In this paper, a third-order compact gas-kinetic scheme (GKS) on unstruc...
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01/27/2021
Joint Coreference Resolution and Character Linking for Multiparty Conversation
Character linking, the task of linking mentioned people in conversations...
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12/31/2020
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
This technique report introduces TexSmart, a text understanding system t...
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12/29/2020
Robust Dialogue Utterance Rewriting as Sequence Tagging
The task of dialogue rewriting aims to reconstruct the latest dialogue u...
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10/16/2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
The learning and evaluation of energy-based latent variable models (EBLV...
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10/15/2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Score matching (SM) provides a compelling approach to learn energy-based...
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10/14/2020
Unified gas-kinetic wave-particle methods V: diatomic molecular flow
In this paper, the unified gas-kinetic wave-particle (UGKWP) method is f...
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10/12/2020
A compact high-order gas-kinetic scheme on unstructured mesh for acoustic and shock wave computations
In this paper an even higher-order compact GKS up to sixth order of accu...
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10/03/2020
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
For multi-turn dialogue rewriting, the capacity of effectively modeling ...
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07/26/2020
A three-dimensional unified gas-kinetic wave-particle solver for flow computation in all regimes
In this paper, the unified gas-kinetic wave-particle (UGKWP) method has ...
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07/03/2020
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Weakly supervised phrase grounding aims at learning region-phrase corres...
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05/26/2020
A Unified Gas-kinetic Scheme for Micro Flow Simulation Based on Linearized Kinetic Equation
The flow regime of micro flow varies from collisionless regime to hydrod...
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03/10/2020
A Survey of Adversarial Learning on Graphs
Deep learning models on graphs have achieved remarkable performance in v...
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03/06/2020
On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Commonsense knowledge graphs (CKG) like Atomic and ASER are substantiall...
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02/20/2020
Boosting Adversarial Training with Hypersphere Embedding
Adversarial training (AT) is one of the most effective defenses to impro...
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01/23/2020
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Existing entity alignment methods mainly vary on the choices of encoding...
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01/09/2020
Multiplex Word Embeddings for Selectional Preference Acquisition
Conventional word embeddings represent words with fixed vectors, which a...
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12/20/2019
Triple Generative Adversarial Networks
Generative adversarial networks (GANs) have shown promise in image gener...
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11/25/2019
Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Analysis of large-scale sequential data has been one of the most crucial...
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11/25/2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
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09/29/2019
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Generative adversarial networks (GANs) have made significant progress on...
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09/25/2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
It has been widely recognized that adversarial examples can be easily cr...
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09/11/2019
On unified preserving properties of kinetic schemes
Numerical modeling of fluid flows based on kinetic equations provides an...
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09/04/2019
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
In this paper, we present a generic and robust multimodal synthesis syst...
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09/04/2019
High-order gas-kinetic scheme with three-dimensional WENO reconstruction for the Euler and Navier-Stokes solutions
In this paper, a simple and efficient third-order weighted essentially n...
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08/04/2019
Efficient training and design of photonic neural network through neuroevolution
Recently, optical neural networks (ONNs) integrated in photonic chips ha...
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07/19/2019
Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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06/10/2019
Multi-objects Generation with Amortized Structural Regularization
Deep generative models (DGMs) have shown promise in image generation. Ho...
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05/28/2019