b'Jie Chen'

research

∙ 07/20/2022

Locality Guidance for Improving Vision Transformers on Tiny Datasets

While the Vision Transformer (VT) architecture is becoming trendy in com...

Kehan Li, et al. ∙

research

∙ 07/19/2022

NDF: Neural Deformable Fields for Dynamic Human Modelling

We propose Neural Deformable Fields (NDF), a new representation for dyna...

Ruiqi Zhang, et al. ∙

research

∙ 07/16/2022

A Survey of Decision Making in Adversarial Games

Game theory has by now found numerous applications in various fields, in...

Xiuxian Li, et al. ∙

research

∙ 07/15/2022

ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph

To generate dance that temporally and aesthetically matches the music is...

Ho Yin Au, et al. ∙

research

∙ 07/15/2022

A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion

Multi-person motion capture can be challenging due to ambiguities caused...

Junkun Jiang, et al. ∙

research

∙ 07/14/2022

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models

Low-order functional ANOVA (fANOVA) models have been rediscovered in the...

Linwei Hu, et al. ∙

research

∙ 07/11/2022

Shapley Computations Using Surrogate Model-Based Trees

Shapley-related techniques have gained attention as both global and loca...

Zhipu Zhou, et al. ∙

research

∙ 07/06/2022

Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization

In this paper, we show that the difference in Euclidean norm of samples ...

Zhennan Wang, et al. ∙

research

∙ 06/30/2022

Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization

Mean-field games (MFGs) are a modeling framework for systems with a larg...

Han Huang, et al. ∙

research

∙ 06/24/2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction

Proteins are essential component of human life and their structures are ...

Sirui Liu, et al. ∙

research

∙ 05/23/2022

Interpretable Feature Engineering for Time Series Predictors using Attention Networks

Regression problems with time-series predictors are common in banking an...

Tianjie Wang, et al. ∙

research

∙ 04/27/2022

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study

This paper compares the performances of three supervised machine learnin...

Alice J. Liu, et al. ∙

research

∙ 04/26/2022

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition

When a financial institution declines an application for credit, an adve...

Vijayan N. Nair, et al. ∙

research

∙ 04/22/2022

Distributed stochastic projection-free solver for constrained optimization

This paper proposes a distributed stochastic projection-free algorithm f...

Xia Jiang, et al. ∙

research

∙ 03/31/2022

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Visual appearance is considered to be the most important cue to understa...

Mengjun Cheng, et al. ∙

research

∙ 03/23/2022

Training-free Transformer Architecture Search

Recently, Vision Transformer (ViT) has achieved remarkable success in se...

Qinqin Zhou, et al. ∙

research

∙ 03/19/2022

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily

Due to the homophily assumption of graph convolution networks, a common ...

Jie Chen, et al. ∙

research

∙ 03/15/2022

Data-Efficient Graph Grammar Learning for Molecular Generation

The problem of molecular generation has received significant attention r...

Minghao Guo, et al. ∙

research

∙ 02/25/2022

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

The expensive annotation cost is notoriously known as a main constraint ...

Feifei Shao, et al. ∙

research

∙ 02/16/2022

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Anomaly detection is a widely studied task for a broad variety of data t...

Enyan Dai, et al. ∙

research

∙ 02/09/2022

Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation

The underwater acoustic signals separation is a key technique for the un...

Jie Chen, et al. ∙

research

∙ 02/07/2022

Evaluating Robustness of Cooperative MARL: A Model-based Approach

In recent years, a proliferation of methods were developed for cooperati...

Nhan H. Pham, et al. ∙

research

∙ 02/01/2022

Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination

Message passing is a fundamental procedure for graph neural networks in ...

Jie Chen, et al. ∙

research

∙ 01/24/2022

Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion

To overcome inherent hardware limitations of hyperspectral imaging syste...

Xiuheng Wang, et al. ∙

research

∙ 12/21/2021

Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors

In the implicit feedback recommendation, incorporating short-term prefer...

Jie Chen, et al. ∙

research

∙ 11/23/2021

Exploring Non-Contrastive Representation Learning for Deep Clustering

Existing deep clustering methods rely on contrastive learning for repres...

Zhizhong Huang, et al. ∙

research

∙ 11/20/2021

Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning

Novel view synthesis of static scenes has achieved remarkable advancemen...

Wenpeng Xing, et al. ∙

research

∙ 11/17/2021

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

Although neural networks (NNs) with ReLU activation functions have found...

Shaojie Xu, et al. ∙

research

∙ 11/06/2021

Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization

The non-smooth finite-sum minimization is a fundamental problem in machi...

Xia Jiang, et al. ∙

research

∙ 11/05/2021

Data-driven Hedging of Stock Index Options via Deep Learning

We develop deep learning models to learn the hedge ratio for S P500 in...

Jie Chen, et al. ∙

research

∙ 10/18/2021

Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

The Internet-of-Things requires end-nodes with ultra-low-power always-on...

Davide Rossi, et al. ∙

research

∙ 10/16/2021

Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

Improving the training and inference performance of graph neural network...

Tim Kaler, et al. ∙

research

∙ 09/09/2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons

Principal component analysis (PCA) is a well-known linear dimension-redu...

Shaojie Xu, et al. ∙

research

∙ 09/04/2021

On Faster Convergence of Scaled Sign Gradient Descent

Communication has been seen as a significant bottleneck in industrial ap...

Xiuxian Li, et al. ∙

research

∙ 08/20/2021

Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function

The movement of humans and goods in cities can be represented by constra...

Zidong Fang, et al. ∙

research

∙ 08/19/2021

An Information Theory-inspired Strategy for Automatic Network Pruning

Despite superior performance on many computer vision tasks, deep convolu...

Xiawu Zheng, et al. ∙

research

∙ 08/13/2021

Non-imaging real-time detection and tracking of fast-moving objects

Real-time detection and tracking of fast-moving objects have achieved gr...

Fengming Zhou, et al. ∙

research

∙ 08/09/2021

Efficient algorithms for collecting the statistics of large-scale IP address data

Compiling the statistics of large-scale IP address data is an essential ...

Jie Chen, et al. ∙

research

∙ 07/24/2021

Distributed stochastic inertial methods with delayed derivatives

Stochastic gradient methods (SGMs) are predominant approaches for solvin...

Yangyang Xu, et al. ∙

research

∙ 07/20/2021

Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues

Near infrared (NIR) imaging has been widely applied in low-light imaging...

Xingxing Yang, et al. ∙

research

∙ 07/16/2021

Efficient proximal gradient algorithms for joint graphical lasso

We consider learning an undirected graphical model from sparse data. Whi...

Jie Chen, et al. ∙

research

∙ 07/13/2021

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...

Jie Chen, et al. ∙

research

∙ 07/13/2021

CentripetalText: An Efficient Text Instance Representation for Scene Text Detection

Scene text detection remains a grand challenge due to the variation in t...

Tao Sheng, et al. ∙

research

∙ 06/28/2021

Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

This paper proposes a distributed stochastic algorithm with variance red...

Xia Jiang, et al. ∙

research

∙ 06/22/2021

Graph coarsening: From scientific computing to machine learning

The general method of graph coarsening or graph reduction has been a rem...

Jie Chen, et al. ∙

research

∙ 06/18/2021

Sparse Linear Spectral Unmixing of Hyperspectral images using Expectation-Propagation

This paper presents a novel Bayesian approach for hyperspectral image un...

Zeng Li, et al. ∙

research

∙ 06/17/2021

Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering

Image-based geometric modeling and novel view synthesis based on sparse,...

Wenpeng Xing, et al. ∙

research

∙ 06/05/2021

GearV: A Two-Gear Hypervisor for Mixed-Criticality IoT Systems

This paper presents GearV, a two-gear lightweight hypervisor architectur...

Kaiwen Long, et al. ∙

research

∙ 05/26/2021

Composition and Application of Current Advanced Driving Assistance System: A Review

Due to the growing awareness of driving safety and the development of so...

Xinran Li, et al. ∙

research

∙ 05/25/2021

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Advancements in deep learning and machine learning algorithms have enabl...

Ruchir Puri, et al. ∙

Jie Chen

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