b'Xin Chen'

research

∙ 09/19/2023

Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

In this work, we introduce the concept of complex text style transfer ta...

0 Ruiqi Xu, et al. ∙

research

∙ 09/18/2023

Error Reduction from Stacked Regressions

Stacking regressions is an ensemble technique that forms linear combinat...

0 Xin Chen, et al. ∙

research

∙ 09/06/2023

Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning

3D dense captioning requires a model to translate its understanding of a...

0 Sijin Chen, et al. ∙

research

∙ 09/05/2023

Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning

Sleep stage classification is crucial for detecting patients' health con...

0 Yuze Liu, et al. ∙

research

∙ 08/14/2023

Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking

Transformer-based visual trackers have demonstrated significant progress...

0 Ben Kang, et al. ∙

research

∙ 08/01/2023

Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies

Accurate online transient stability prediction is critical for ensuring ...

0 Zijian Lv, et al. ∙

research

∙ 08/01/2023

Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits

With the growing prevalence of electric vehicles (EVs) and advancements ...

0 Yubao Zhang, et al. ∙

research

∙ 07/27/2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reinforcement learning from human feedback (RLHF) is a technique for tra...

0 Stephen Casper, et al. ∙

research

∙ 07/20/2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Lung cancer is a leading cause of death worldwide and early screening is...

0 Jianpeng Zhang, et al. ∙

research

∙ 07/10/2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Gastric cancer is the third leading cause of cancer-related mortality wo...

0 Mingze Yuan, et al. ∙

research

∙ 07/07/2023

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs

Graph neural network (GNN) has gained increasing popularity in recent ye...

0 Tiehua Zhang, et al. ∙

research

∙ 06/28/2023

A serial dual-channel library occupancy detection system based on Faster RCNN

The phenomenon of seat occupancy in university libraries is a prevalent ...

0 Guoqiang Yang, et al. ∙

research

∙ 06/26/2023

MotionGPT: Human Motion as a Foreign Language

Though the advancement of pre-trained large language models unfolds, the...

1 Biao Jiang, et al. ∙

research

∙ 06/23/2023

Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids

Time series motifs are used for discovering higher-order structures of t...

0 Long Huo, et al. ∙

research

∙ 06/12/2023

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Multivariate time series anomaly detection (MTAD) plays a vital role in ...

0 Feng Xia, et al. ∙

research

∙ 06/10/2023

Differentially private sliced inverse regression in the federated paradigm

We extend the celebrated sliced inverse regression to address the challe...

0 Shuaida He, et al. ∙

research

∙ 06/02/2023

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities

Vulnerability detection is a critical problem in software security and a...

0 Tiehua Zhang, et al. ∙

research

∙ 05/30/2023

Fast global convergence of gradient descent for low-rank matrix approximation

This paper investigates gradient descent for solving low-rank matrix app...

0 Hengchao Chen, et al. ∙

research

∙ 05/25/2023

Learning Safety Constraints from Demonstrations with Unknown Rewards

We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL...

0 David Lindner, et al. ∙

research

∙ 05/18/2023

Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation

Incremental few-shot semantic segmentation (IFSS) aims to incrementally ...

0 Yuan Zhou, et al. ∙

research

∙ 05/17/2023

Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization

Wind power is becoming an increasingly important source of renewable ene...

0 Yubao Zhang, et al. ∙

research

∙ 05/12/2023

An Object SLAM Framework for Association, Mapping, and High-Level Tasks

Object SLAM is considered increasingly significant for robot high-level ...

0 Yanmin Wu, et al. ∙

research

∙ 05/09/2023

Sparse Sliced Inverse Regression via Random Projection

We propose a novel sparse sliced inverse regression method based on rand...

0 Jia Zhang, et al. ∙

research

∙ 04/28/2023

Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps

A road is the skeleton of a city and is a fundamental and important geog...

0 Xin Chen, et al. ∙

research

∙ 04/27/2023

SeqTrack: Sequence to Sequence Learning for Visual Object Tracking

In this paper, we present a new sequence-to-sequence learning framework ...

7 Xin Chen, et al. ∙

research

∙ 04/25/2023

Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning

We propose a model-free reinforcement learning solution, namely the ASAP...

0 Mengyu Liu, et al. ∙

research

∙ 04/22/2023

Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism

The Mixture of Experts (MoE) model becomes an important choice of large ...

0 Xin Chen, et al. ∙

research

∙ 04/20/2023

Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?

Point cloud based 3D deep model has wide applications in many applicatio...

0 Haoyang Peng, et al. ∙

research

∙ 04/18/2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation

Recently, making recommendations for ephemeral groups which contain dyna...

0 Guangze Ye, et al. ∙

research

∙ 04/11/2023

A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles

Accurate state-of-health (SOH) estimation is critical to guarantee the s...

0 Xin Chen, et al. ∙

research

∙ 04/11/2023

Triple Sequence Learning for Cross-domain Recommendation

Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...

0 Haokai Ma, et al. ∙

research

∙ 04/01/2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Real-world medical image segmentation has tremendous long-tailed complex...

5 Mingze Yuan, et al. ∙

research

∙ 03/31/2023

POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems

Neural networks (NNs) playing the role of controllers have demonstrated ...

0 Yixuan Wang, et al. ∙

research

∙ 03/20/2023

Visual Prompt Multi-Modal Tracking

Visible-modal object tracking gives rise to a series of downstream multi...

0 Jiawen Zhu, et al. ∙

research

∙ 03/13/2023

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering

Deep learning (DL) algorithms have been widely applied to short-term vol...

0 Zijian Feng, et al. ∙

research

∙ 03/09/2023

Text-Visual Prompting for Efficient 2D Temporal Video Grounding

In this paper, we study the problem of temporal video grounding (TVG), w...

1 Yimeng Zhang, et al. ∙

research

∙ 02/24/2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification

Histopathological tissue classification is a fundamental task in computa...

0 Tianpeng Deng, et al. ∙

research

∙ 02/20/2023

Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information

Conventional beamforming methods for intelligent reflecting surfaces (IR...

0 Fan Xu, et al. ∙

research

∙ 02/07/2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System

Recommender systems usually rely on observed user interaction data to bu...

0 Weiqi Zhao, et al. ∙

research

∙ 02/02/2023

Sketched Ridgeless Linear Regression: The Role of Downsampling

Overparametrization often helps improve the generalization performance. ...

0 Xin Chen, et al. ∙

research

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

research

∙ 01/17/2023

A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction

Neural Radiance Fields (NeRF) has achieved impressive results in single ...

0 Chongshan Lu, et al. ∙

research

∙ 01/06/2023

End-to-End 3D Dense Captioning with Vote2Cap-DETR

3D dense captioning aims to generate multiple captions localized with th...

0 Sijin Chen, et al. ∙

research

∙ 12/08/2022

Executing your Commands via Motion Diffusion in Latent Space

We study a challenging task, conditional human motion generation, which ...

0 Xin Chen, et al. ∙

research

∙ 11/21/2022

Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets

Semantic segmentation models based on the conventional neural network ca...

0 Jiaru Jia, et al. ∙

research

∙ 11/11/2022

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

This study proposes an improved end-to-end multi-target tracking algorit...

0 Yong Hong, et al. ∙

research

∙ 11/09/2022

A Linear Time Algorithm for the Optimal Discrete IRS Beamforming

It remains an open problem to find the optimal configuration of phase sh...

0 Dmitry Rybin, et al. ∙

research

∙ 11/03/2022

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

In this paper, we present Pangu-Weather, a deep learning based system fo...

1 Kaifeng Bi, et al. ∙

research

∙ 10/31/2022

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks

Heterogeneous graph neural network has unleashed great potential on grap...

0 Tiehua Zhang, et al. ∙

research

∙ 10/29/2022

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Objective: Radiomics, an emerging tool for medical image analysis, is po...

0 Lingwei Meng, et al. ∙

Xin Chen

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