b'Jianguo Zhang'

research

∙ 08/16/2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System

End-to-end task-oriented dialogue (TOD) systems have achieved promising ...

0 Jianguo Zhang, et al. ∙

research

∙ 08/11/2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The massive successes of large language models (LLMs) encourage the emer...

0 Zhiwei Liu, et al. ∙

research

∙ 08/04/2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Recent months have seen the emergence of a powerful new trend in which l...

0 Weiran Yao, et al. ∙

research

∙ 07/24/2023

Cross Contrastive Feature Perturbation for Domain Generalization

Domain generalization (DG) aims to learn a robust model from source doma...

0 Chenming Li, et al. ∙

research

∙ 07/21/2023

Strip-MLP: Efficient Token Interaction for Vision MLP

Token interaction operation is one of the core modules in MLP-based mode...

0 Guiping Cao, et al. ∙

research

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

research

∙ 07/19/2023

Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition

Automated medical image classification is the key component in intellige...

0 Jia-Xin Zhuang, et al. ∙

research

∙ 07/11/2023

DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks

The success of the GPT series proves that GPT can extract general inform...

0 Daoan Zhang, et al. ∙

research

∙ 06/28/2023

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks

Automated medical image segmentation inherently involves a certain degre...

0 Qingqiao Hu, et al. ∙

research

∙ 06/25/2023

When SAM Meets Sonar Images

Segment Anything Model (SAM) has revolutionized the way of segmentation....

0 Lin Wang, et al. ∙

research

∙ 06/21/2023

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference

Advancements in adapting deep convolution architectures for Spiking Neur...

0 Boyan Li, et al. ∙

research

∙ 05/12/2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Existing recommender systems face difficulties with zero-shot items, i.e...

0 Ziwei Fan, et al. ∙

research

∙ 03/20/2023

Feature Alignment and Uniformity for Test Time Adaptation

Test time adaptation (TTA) aims to adapt deep neural networks when recei...

0 Shuai Wang, et al. ∙

research

∙ 03/07/2023

Bootstrap The Original Latent: Learning a Private Model from a Black-box Model

In this paper, considering the balance of data/model privacy of model ow...

0 Shuai Wang, et al. ∙

research

∙ 02/20/2023

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems

When learning task-oriented dialogue (ToD) agents, reinforcement learnin...

0 Yihao Feng, et al. ∙

research

∙ 02/05/2023

Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization

Domain Generalization (DG) is a fundamental challenge for machine learni...

0 Daoan Zhang, et al. ∙

research

∙ 12/17/2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation

Dense retrievers have made significant strides in obtaining state-of-the...

0 Rui Meng, et al. ∙

research

∙ 12/03/2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images

Quantifying the perceptual similarity of two images is a long-standing p...

0 Hongwei Bran Li, et al. ∙

research

∙ 11/26/2022

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation

Unsupervised image semantic segmentation(UISS) aims to match low-level v...

0 Daoan Zhang, et al. ∙

research

∙ 08/09/2022

Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding

Partial least square regression (PLSR) is a widely-used statistical mode...

0 Wanguang Yin, et al. ∙

research

∙ 07/02/2022

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Medical image synthesis has attracted increasing attention because it co...

0 Qingqiao Hu, et al. ∙

research

∙ 03/13/2022

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning

Heatmap regression methods have dominated face alignment area in recent ...

0 Jiahao Xia, et al. ∙

research

∙ 12/03/2021

Detect Faces Efficiently: A Survey and Evaluations

Face detection is to search all the possible regions for faces in images...

0 Yuantao Feng, et al. ∙

research

∙ 09/13/2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

In this work, we focus on a more challenging few-shot intent detection s...

0 Jianguo Zhang, et al. ∙

research

∙ 06/26/2021

Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild

Nowadays, most existing blind image quality assessment (BIQA) models 1) ...

0 Zhihua Wang, et al. ∙

research

∙ 03/06/2021

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Radiomic representations can quantify properties of regions of interest ...

19 Hongwei Li, et al. ∙

research

∙ 01/05/2021

Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation

Multi-modal medical image segmentation plays an essential role in clinic...

0 Jingkun Chen, et al. ∙

research

∙ 12/14/2020

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds

Shape modeling and reconstruction from raw point clouds of objects stand...

0 Wenbin Zhao, et al. ∙

research

∙ 08/03/2020

Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation

Tackling domain shifts in multi-centre and multi-vendor data sets remain...

0 Hongwei Li, et al. ∙

research

∙ 07/10/2020

MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines

MultiWOZ is a well-known task-oriented dialogue dataset containing over ...

0 Xiaoxue Zang, et al. ∙

research

∙ 04/03/2020

TEA: Temporal Excitation and Aggregation for Action Recognition

Temporal modeling is key for action recognition in videos. It normally c...

8 Yan Li, et al. ∙

research

∙ 01/25/2020

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

Domain adaptation in healthcare data is a potentially critical component...

17 Hongwei Li, et al. ∙

research

∙ 08/25/2019

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation

Analysis and modeling of the ventricles and myocardium are important in ...

21 Jingkun Chen, et al. ∙

research

∙ 04/29/2019

DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

Recent studies on medical image synthesis reported promising results usi...

0 Hongwei Li, et al. ∙

research

∙ 04/01/2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Quantification of cerebral white matter hyperintensities (WMH) of presum...

0 Hugo J. Kuijf, et al. ∙

research

∙ 11/11/2018

Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nowadays, an increasing number of customers are in favor of using E-comm...

0 Jianguo Zhang, et al. ∙

research

∙ 09/11/2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction

With the development of cloud computing and big data, the reliability of...

0 Jianguo Zhang, et al. ∙

research

∙ 09/10/2018

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

The increasing demand for on-device deep learning services calls for a h...

0 Ji Wang, et al. ∙

research

∙ 07/13/2018

Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Segmentation of both large and small white matter hyperintensities/lesio...

0 Hongwei Li, et al. ∙

research

∙ 03/18/2018

Discriminative Learning of Latent Features for Zero-Shot Recognition

Zero-shot learning (ZSL) aims to recognize unseen image categories by le...

0 Yan Li, et al. ∙

research

∙ 02/27/2018

Mixed Supervised Object Detection with Robust Objectness Transfer

In this paper, we consider the problem of leveraging existing fully labe...

0 Yan Li, et al. ∙

research

∙ 02/14/2018

Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images

White matter hyperintensities (WMH) are commonly found in the brains of ...

0 Hongwei Li, et al. ∙

research

∙ 04/06/2017

Beyond triplet loss: a deep quadruplet network for person re-identification

Person re-identification (ReID) is an important task in wide area video ...

0 Weihua Chen, et al. ∙

Jianguo Zhang

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