b'Guotong Xie'

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Featured Co-authors

Jun Wang
360 publications
Hao Chen
339 publications
Lei Li
255 publications
Zhiyuan Liu
209 publications
Alan Yuille
192 publications
Jing Xiao
190 publications
Maosong Sun
159 publications
Fei Huang
134 publications
Xiang Chen
132 publications
Xipeng Qiu
131 publications
Guang Yang
118 publications

research

∙ 06/21/2023

Interactive Molecular Discovery with Natural Language

Natural language is expected to be a key medium for various human-machin...

0 Zheni Zeng, et al. ∙

research

∙ 05/07/2023

Unified Demonstration Retriever for In-Context Learning

In-context learning is a new learning paradigm where a language model co...

0 Xiaonan Li, et al. ∙

research

∙ 04/26/2023

Filter Pruning via Filters Similarity in Consecutive Layers

Filter pruning is widely adopted to compress and accelerate the Convolut...

0 Xiaorui Wang, et al. ∙

research

∙ 10/21/2022

HCL: Improving Graph Representation with Hierarchical Contrastive Learning

Contrastive learning has emerged as a powerful tool for graph representa...

0 Jun Wang, et al. ∙

research

∙ 05/29/2022

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models

Large scale pre-training models have been widely used in named entity re...

0 Changyu Hou, et al. ∙

research

∙ 05/18/2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking

This paper describes the PASH participation in TREC 2021 Deep Learning T...

0 Yixuan Qiao, et al. ∙

research

∙ 03/11/2022

Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology

Recognition of glomeruli lesions is the key for diagnosis and treatment ...

0 Yang Nan, et al. ∙

research

∙ 03/02/2022

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer

Anti-cancer drug discoveries have been serendipitous, we sought to prese...

0 Xianbin Ye, et al. ∙

research

∙ 12/09/2021

Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks

Building damage detection after natural disasters like earthquakes is cr...

7 Jun Wang, et al. ∙

research

∙ 10/26/2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks

Self-supervised learning has gradually emerged as a powerful technique f...

3 Pengyong Li, et al. ∙

research

∙ 10/11/2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Background: The current clinical workflow for esophageal gross tumor vol...

0 Xianghua Ye, et al. ∙

research

∙ 09/23/2021

SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

In this work, we introduce a fast and accurate method for unsupervised 3...

0 Fengze Liu, et al. ∙

research

∙ 09/20/2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Lymph node station (LNS) delineation from computed tomography (CT) scans...

0 Dazhou Guo, et al. ∙

research

∙ 06/24/2021

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model

TextVQA requires models to read and reason about text in images to answe...

0 Yixuan Qiao, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 05/05/2021

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Measuring lesion size is an important step to assess tumor growth and mo...

0 Youbao Tang, et al. ∙

research

∙ 05/03/2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Accurately segmenting a variety of clinically significant lesions from w...

0 Youbao Tang, et al. ∙

research

∙ 04/29/2021

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Landmark localization plays an important role in medical image analysis....

0 Xiao-Yun Zhou, et al. ∙

research

∙ 04/12/2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Depending on the application, radiological diagnoses can be associated w...

12 Bowen Li, et al. ∙

research

∙ 03/24/2021

Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Bone mineral density (BMD) is a clinically critical indicator of osteopo...

0 Kang Zheng, et al. ∙

research

∙ 12/21/2020

Learn molecular representations from large-scale unlabeled molecules for drug discovery

How to produce expressive molecular representations is a fundamental cha...

19 Pengyong Li, et al. ∙

research

∙ 12/09/2020

Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions

Active learning generally involves querying the most representative samp...

8 Jun Wang, et al. ∙

research

∙ 09/22/2020

AutoRC: Improving BERT Based Relation Classification Models via Architecture Search

Although BERT based relation classification (RC) models have achieved si...

0 Wei Zhu, et al. ∙

research

∙ 09/04/2020

AutoTrans: Automating Transformer Design via Reinforced Architecture Search

Though the transformer architectures have shown dominance in many natura...

0 Wei Zhu, et al. ∙

research

∙ 07/31/2017

Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories

Precision medicine requires the precision disease risk prediction models...

0 Jing Mei, et al. ∙

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