b'Xin Zhou'

research

∙ 09/07/2023

The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models

Learning-based techniques, especially advanced Large Language Models (LL...

0 Xin Zhou, et al. ∙

research

∙ 09/05/2023

Diffusion-based 3D Object Detection with Random Boxes

3D object detection is an essential task for achieving autonomous drivin...

0 Xin Zhou, et al. ∙

research

∙ 08/29/2023

ABS-SGD: A Delayed Synchronous Stochastic Gradient Descent Algorithm with Adaptive Batch Size for Heterogeneous GPU Clusters

As the size of models and datasets grows, it has become increasingly com...

0 Xin Zhou, et al. ∙

research

∙ 08/24/2023

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

Proper naming of methods can make program code easier to understand, and...

0 Kisub Kim, et al. ∙

research

∙ 08/21/2023

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Large Language Models (LLMs) possess impressive capabilities to generate...

0 Martin Weyssow, et al. ∙

research

∙ 08/17/2023

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

Recommender systems have been gaining increasing research attention over...

0 Jiazheng Jing, et al. ∙

research

∙ 08/15/2023

Better Zero-Shot Reasoning with Role-Play Prompting

Modern large language models (LLMs), such as ChatGPT, exhibit a remarkab...

0 Aobo Kong, et al. ∙

research

∙ 08/15/2023

AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes

Multi-object tracking (MOT) is a fundamental problem in computer vision ...

0 Yunhao Li, et al. ∙

research

∙ 06/21/2023

Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI

Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...

0 Zimeng Li, et al. ∙

research

∙ 06/14/2023

GBSD: Generative Bokeh with Stage Diffusion

The bokeh effect is an artistic technique that blurs out-of-focus areas ...

0 Jieren Deng, et al. ∙

research

∙ 05/26/2023

InstaGrasp: An Entirely 3D Printed Adaptive Gripper with TPU Soft Elements and Minimal Assembly Time

Fabricating existing and popular open-source adaptive robotic grippers c...

0 Xin Zhou, et al. ∙

research

∙ 05/17/2023

Sequential Best-Arm Identification with Application to Brain-Computer Interface

A brain-computer interface (BCI) is a technology that enables direct com...

0 Xin Zhou, et al. ∙

research

∙ 05/06/2023

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code

Pre-trained language models (PLMs) have become a prevalent technique in ...

5 Martin Weyssow, et al. ∙

research

∙ 04/22/2023

Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis

Denoising diffusion probabilistic models (DDPMs) are a class of powerful...

3 Yansong Gao, et al. ∙

research

∙ 03/21/2023

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning

Sequential recommendation systems utilize the sequential interactions of...

0 Lingzi Zhang, et al. ∙

research

∙ 03/14/2023

PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking

Planar object tracking is a critical computer vision problem and has dra...

0 Xinran Liu, et al. ∙

research

∙ 03/13/2023

Generation-based Code Review Automation: How Far Are We?

Code review is an effective software quality assurance activity; however...

0 Xin Zhou, et al. ∙

research

∙ 03/12/2023

Raising The Limit Of Image Rescaling Using Auxiliary Encoding

Normalizing flow models using invertible neural networks (INN) have been...

0 Chenzhong Yin, et al. ∙

research

∙ 03/09/2023

Smooth and Stepwise Self-Distillation for Object Detection

Distilling the structured information captured in feature maps has contr...

0 Jieren Deng, et al. ∙

research

∙ 03/01/2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment

Automated Program Repair (APR) techniques have shown more and more promi...

0 Xin Zhou, et al. ∙

research

∙ 02/22/2023

Do We Really Need Complicated Model Architectures For Temporal Networks?

Recurrent neural network (RNN) and self-attention mechanism (SAM) are th...

0 Weilin Cong, et al. ∙

research

∙ 02/21/2023

EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images

Structure-from-Motion is a technology used to obtain scene structure thr...

0 Zhichao Ye, et al. ∙

research

∙ 02/09/2023

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions

Recommendation systems have become popular and effective tools to help u...

0 Hongyu Zhou, et al. ∙

research

∙ 02/02/2023

MMRec: Simplifying Multimodal Recommendation

This paper presents an open-source toolbox, MMRec for multimodal recomme...

0 Xin Zhou, et al. ∙

research

∙ 01/28/2023

Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation

User interaction data in recommender systems is a form of dyadic relatio...

0 Hongyu Zhou, et al. ∙

research

∙ 12/12/2022

A Pre-Trained BERT Model for Android Applications

The automation of an increasingly large number of software engineering t...

0 Tiezhu Sun, et al. ∙

research

∙ 12/08/2022

E-TRoll: Tactile Sensing and Classification via A Simple Robotic Gripper for Extended Rolling Manipulations

Robotic tactile sensing provides a method of recognizing objects and the...

0 Xin Zhou, et al. ∙

research

∙ 11/14/2022

Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Transferring large amount of high resolution images over limited bandwid...

0 Zhihong Pan, et al. ∙

research

∙ 11/14/2022

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

Diffusion-based text-to-image generation models like GLIDE and DALLE-2 h...

0 Zhihong Pan, et al. ∙

research

∙ 11/13/2022

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation

Multimodal recommender systems utilizing multimodal features (e.g. image...

1 Xin Zhou, et al. ∙

research

∙ 11/05/2022

Inductive Graph Transformer for Delivery Time Estimation

Providing accurate estimated time of package delivery on users' purchasi...

0 Xin Zhou, et al. ∙

research

∙ 10/22/2022

Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

We propose a simple and novel method for generating 3D human motion from...

0 Zhiyuan Ren, et al. ∙

research

∙ 10/19/2022

Machine Learning for a Sustainable Energy Future

Transitioning from fossil fuels to renewable energy sources is a critica...

0 Zhenpeng Yao, et al. ∙

research

∙ 07/24/2022

Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network

Normalizing flow models have been used successfully for generative image...

4 Min Zhang, et al. ∙

research

∙ 07/22/2022

Layer-refined Graph Convolutional Networks for Recommendation

Recommendation models utilizing Graph Convolutional Networks (GCNs) have...

0 Xin Zhou, et al. ∙

research

∙ 07/13/2022

Automatic Parameter Adaptation for Quadrotor Trajectory Planning

Online trajectory planners enable quadrotors to safely and smoothly navi...

0 Xin Zhou, et al. ∙

research

∙ 07/13/2022

Bootstrap Latent Representations for Multi-modal Recommendation

This paper studies the multi-modal recommendation problem, where the ite...

1 Xin Zhou, et al. ∙

research

∙ 07/07/2022

Nonparametric Estimation of the Potential Impact Fraction and Population Attributable Fraction with Individual-Level and Aggregated Data

The estimation of the potential impact fraction (including the populatio...

0 Colleen E. Chan, et al. ∙

research

∙ 06/07/2022

Searching for Optimal Subword Tokenization in Cross-domain NER

Input distribution shift is one of the vital problems in unsupervised do...

0 Ruotian Ma, et al. ∙

research

∙ 05/03/2022

A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues

Context: DevOps and microservices are acknowledged to be important new p...

0 Xin Zhou, et al. ∙

research

∙ 03/29/2022

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

Weakly-supervised temporal action localization aims to recognize and loc...

5 Bo He, et al. ∙

research

∙ 03/02/2022

Enhanced Decentralized Autonomous Aerial Swarm with Group Planning

Autonomous aerial swarm remains a grand challenge in robotics. Existing ...

0 Jialiang Hou, et al. ∙

research

∙ 10/30/2021

The Missing Covariate Indicator Method is Nearly Valid Almost Always

Background: Although the missing covariate indicator method (MCIM) has b...

0 Mingyang Song, et al. ∙

research

∙ 10/15/2021

Carbon Neutrality in Data Center

Data centers are carbon-intensive enterprises due to their massive energ...

0 Zhiwei Cao, et al. ∙

research

∙ 10/14/2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models

Plug-and-play functionality allows deep learning models to adapt well to...

5 Xin Zhou, et al. ∙

research

∙ 09/28/2021

Template-free Prompt Tuning for Few-shot NER

Prompt-based methods have been successfully applied in sentence-level fe...

6 Ruotian Ma, et al. ∙

research

∙ 07/07/2021

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering

Collaborative filtering (CF) is widely used to learn an informative late...

15 Xin Zhou, et al. ∙

research

∙ 06/28/2021

Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection

With rapidly evolving internet technologies and emerging tools, sports r...

4 Xin Zhou, et al. ∙

research

∙ 06/23/2021

Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms

Multicopter swarms with decentralized structure possess the nature of fl...

0 Xin Zhou, et al. ∙

research

∙ 04/03/2021

No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE

Interactions with either environments or expert policies during training...

10 HaoChih Lin, et al. ∙

Xin Zhou

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