b'Xin Gao'

research

∙ 09/17/2023

CryoAlign: feature-based method for global and local 3D alignment of EM density maps

Advances on cryo-electron imaging technologies have led to a rapidly inc...

0 Bintao He, et al. ∙

research

∙ 09/13/2023

DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision

The goal of low-light image enhancement is to restore the color and deta...

0 Xiangchen Yin, et al. ∙

research

∙ 09/06/2023

Automated Bioinformatics Analysis via AutoBA

With the fast-growing and evolving omics data, the demand for streamline...

0 Juexiao Zhou, et al. ∙

research

∙ 08/25/2023

Discovering Mental Health Research Topics with Topic Modeling

Mental health significantly influences various aspects of our daily live...

0 Xin Gao, et al. ∙

research

∙ 08/24/2023

SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection

Multi-modal fusion is increasingly being used for autonomous driving tas...

0 Xinyu Zhang, et al. ∙

research

∙ 07/20/2023

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection

Current object detection models have achieved good results on many bench...

0 Xiangchen Yin, et al. ∙

research

∙ 06/19/2023

Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost

Medical artificial general intelligence (AGI) is an emerging field that ...

0 Juexiao Zhou, et al. ∙

research

∙ 06/15/2023

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

ChatGPT has drawn considerable attention from both the general public an...

0 Shubo Tian, et al. ∙

research

∙ 06/01/2023

Improving the Robustness of Summarization Systems with Dual Augmentation

A robust summarization system should be able to capture the gist of the ...

0 Xiuying Chen, et al. ∙

research

∙ 06/01/2023

DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation

Deep learning based automatic medical image segmentation models often su...

0 Yifan Gao, et al. ∙

research

∙ 05/25/2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents

Ensuring the reliability and availability of cloud services necessitates...

0 Yinfang Chen, et al. ∙

research

∙ 05/19/2023

A Topic-aware Summarization Framework with Different Modal Side Information

Automatic summarization plays an important role in the exponential docum...

0 Xiuying Chen, et al. ∙

research

∙ 04/23/2023

Informative Data Selection with Uncertainty for Multi-modal Object Detection

Noise has always been nonnegligible trouble in object detection by creat...

0 Xinyu Zhang, et al. ∙

research

∙ 04/21/2023

SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model

Skin and subcutaneous diseases are among the major causes of the nonfata...

0 Juexiao Zhou, et al. ∙

research

∙ 04/07/2023

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

Efficient automatic segmentation of multi-level (i.e. main and branch) p...

1 Gongning Luo, et al. ∙

research

∙ 02/20/2023

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

Heterogeneous data is endemic due to the use of diverse models and setti...

0 Juexiao Zhou, et al. ∙

research

∙ 02/20/2023

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare

Revoking personal private data is one of the basic human rights, which h...

0 Juexiao Zhou, et al. ∙

research

∙ 01/14/2023

Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning

Drug combination therapy is a well-established strategy for disease trea...

0 Zhihang Hu, et al. ∙

research

∙ 01/13/2023

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior

Medical images are generally acquired with limited field-of-view (FOV), ...

0 Kaiwen Wan, et al. ∙

research

∙ 12/13/2022

Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs

Our work targets at searching feasible adversarial perturbation to attac...

0 Hongyan Bao, et al. ∙

research

∙ 12/13/2022

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs

Machine Learning-as-a-Service systems (MLaaS) have been largely develope...

0 Helene Orsini, et al. ∙

research

∙ 11/12/2022

Prediction of Geometric Transformation on Cardiac MRI via Convolutional Neural Network

In the field of medical image, deep convolutional neural networks(ConvNe...

0 Xin Gao, et al. ∙

research

∙ 11/06/2022

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

Proper functioning of connected and automated vehicles (CAVs) is crucial...

0 Qi Liu, et al. ∙

research

∙ 10/04/2022

Towards Improving Faithfulness in Abstractive Summarization

Despite the success achieved in neural abstractive summarization based o...

0 Xiuying Chen, et al. ∙

research

∙ 09/21/2022

Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds

Generalized Complete Intersection Calabi-Yau Manifold (gCICY) is a new c...

0 Wei Cui, et al. ∙

research

∙ 07/26/2022

Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds

Previous works for LiDAR-based 3D object detection mainly focus on the s...

0 Junbo Yin, et al. ∙

research

∙ 06/23/2022

Prototype-Anchored Learning for Learning with Imperfect Annotations

The success of deep neural networks greatly relies on the availability o...

0 Xiong Zhou, et al. ∙

research

∙ 06/23/2022

Learning Towards the Largest Margins

One of the main challenges for feature representation in deep learning-b...

0 Xiong Zhou, et al. ∙

research

∙ 05/24/2022

Context Attention Network for Skeleton Extraction

Skeleton extraction is a task focused on providing a simple representati...

6 Zixuan Huang, et al. ∙

research

∙ 12/14/2021

Weakly Supervised High-Fidelity Clothing Model Generation

The development of online economics arouses the demand of generating ima...

0 Ruili Feng, et al. ∙

research

∙ 07/28/2021

Shape Controllable Virtual Try-on for Underwear Models

Image virtual try-on task has abundant applications and has become a hot...

0 Xin Gao, et al. ∙

research

∙ 07/26/2021

Protein-RNA interaction prediction with deep learning: Structure matters

Protein-RNA interactions are of vital importance to a variety of cellula...

0 Junkang Wei, et al. ∙

research

∙ 07/19/2021

Double Similarity Distillation for Semantic Image Segmentation

The balance between high accuracy and high speed has always been a chall...

6 Yingchao Feng, et al. ∙

research

∙ 06/16/2021

2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection

In an autonomous driving system, it is essential to recognize vehicles, ...

0 Yueming Zhang, et al. ∙

research

∙ 06/06/2021

Asymmetric Loss Functions for Learning with Noisy Labels

Robust loss functions are essential for training deep neural networks wi...

0 Xiong Zhou, et al. ∙

research

∙ 03/02/2021

A Data-Centric Framework for Composable NLP Workflows

Empirical natural language processing (NLP) systems in application domai...

17 Zhengzhong Liu, et al. ∙

research

∙ 10/28/2020

Object sieving and morphological closing to reduce false detections in wide-area aerial imagery

For object detection in wide-area aerial imagery, post-processing is usu...

0 Xin Gao, et al. ∙

research

∙ 08/01/2020

Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective

For state-of-the-art network function virtualization (NFV) systems, it r...

14 Simeng Bian, et al. ∙

research

∙ 08/01/2020

PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems

In multi-tiered fog computing systems, to accelerate the processing of c...

0 Xin Gao, et al. ∙

research

∙ 08/01/2020

Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control

In fog-assisted IoT systems, it is a common practice to offload tasks fr...

27 Xin Gao, et al. ∙

research

∙ 08/01/2020

Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems

In Fog-assisted IoT systems, it is a common practice to cache popular co...

0 Xin Gao, et al. ∙

research

∙ 08/01/2020

Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs

For NFV systems, the key design space includes the function chaining for...

0 Xi Huang, et al. ∙

research

∙ 08/01/2020

Online User-AP Association with Predictive Scheduling in Wireless Caching Networks

For wireless caching networks, the scheme design for content delivery is...

0 Xi Huang, et al. ∙

research

∙ 07/30/2020

Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework

Mediation analysis has been used in many disciplines to explain the mech...

0 Xin Gao, et al. ∙

research

∙ 06/18/2020

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

Since the first alert launched by the World Health Organization (5 Janua...

1 Qiang Yang, et al. ∙

research

∙ 06/09/2020

Learning to Stop While Learning to Predict

There is a recent surge of interest in designing deep architectures base...

8 Xinshi Chen, et al. ∙

research

∙ 04/13/2020

Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect

Mediation analysis serves as a crucial tool to obtain causal inference b...

0 Xin Gao, et al. ∙

research

∙ 04/03/2020

Disassembling Object Representations without Labels

In this paper, we study a new representation-learning task, which we ter...

0 Zunlei Feng, et al. ∙

research

∙ 04/02/2020

Bayesian model selection approach for colored graphical Gaussian models

We consider a class of colored graphical Gaussian models obtained by pla...

0 Qiong Li, et al. ∙

research

∙ 03/20/2020

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN

Recent advances in deep learning have provided procedures for learning o...

0 Jingwen Ye, et al. ∙

Xin Gao

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