b'Yu Shi'

research

∙ 08/31/2023

Robust Representation Learning for Unreliable Partial Label Learning

Partial Label Learning (PLL) is a type of weakly supervised learning whe...

0 Yu Shi, et al. ∙

research

∙ 08/09/2023

SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Medical image analysis using deep learning is often challenged by limite...

0 Fan Bai, et al. ∙

research

∙ 08/01/2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...

0 Hexin Dong, et al. ∙

research

∙ 07/17/2023

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Liver tumor segmentation and classification are important tasks in compu...

0 Ke Yan, et al. ∙

research

∙ 06/08/2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning

Advances in deep learning have greatly improved structure prediction of ...

0 Shuxin Zheng, et al. ∙

research

∙ 05/24/2023

Breaking the Curse of Quality Saturation with User-Centric Ranking

A key puzzle in search, ads, and recommendation is that the ranking mode...

0 Zhuokai Zhao, et al. ∙

research

∙ 05/21/2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

The convergence of text, visual, and audio data is a key step towards hu...

0 ZiYi Yang, 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

∙ 03/20/2023

Code-Switching Text Generation and Injection in Mandarin-English ASR

Code-switching speech refers to a means of expression by mixing two or m...

0 Haibin Yu, et al. ∙

research

∙ 02/20/2023

Unreliable Partial Label Learning with Recursive Separation

Partial label learning (PLL) is a typical weakly supervised learning pro...

0 Yu Shi, et al. ∙

research

∙ 02/16/2023

Learning From Biased Soft Labels

Knowledge distillation has been widely adopted in a variety of tasks and...

0 Hua Yuan, et al. ∙

research

∙ 02/04/2023

Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer

This paper presents a new method for end-to-end Video Question Answering...

0 Min Peng, 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

∙ 01/04/2023

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging

Lymph node (LN) metastasis status is one of the most critical prognostic...

0 Zhilin Zheng, et al. ∙

research

∙ 11/11/2022

Breaking trade-offs in speech separation with sparsely-gated mixture of experts

Several trade-offs need to be balanced when employing monaural speech se...

0 Xiaofei Wang, et al. ∙

research

∙ 08/19/2022

Predicting the protein-ligand affinity from molecular dynamics trajectories

The accurate protein-ligand binding affinity prediction is essential in ...

31 Yaosen Min, et al. ∙

research

∙ 07/20/2022

Quantized Training of Gradient Boosting Decision Trees

Recent years have witnessed significant success in Gradient Boosting Dec...

5 Yu Shi, et al. ∙

research

∙ 06/23/2022

Dynamic Scene Deblurring Base on Continuous Cross-Layer Attention Transmission

The deep convolutional neural networks (CNNs) using attention mechanism ...

3 Xia Hua, et al. ∙

research

∙ 05/09/2022

Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering

Video question answering (VideoQA) is challenging given its multimodal c...

20 Min Peng, et al. ∙

research

∙ 05/03/2022

i-Code: An Integrative and Composable Multimodal Learning Framework

Human intelligence is multimodal; we integrate visual, linguistic, and a...

1 ZiYi Yang, et al. ∙

research

∙ 03/09/2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

This technical note describes the recent updates of Graphormer, includin...

10 Yu Shi, et al. ∙

research

∙ 02/28/2022

An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets

This technical note describes the recent updates of Graphormer, includin...

0 Yu Shi, et al. ∙

research

∙ 12/10/2021

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

The sparsely-gated Mixture of Experts (MoE) can magnify a network capaci...

7 Kenichi Kumatani, et al. ∙

research

∙ 11/22/2021

Florence: A New Foundation Model for Computer Vision

Automated visual understanding of our diverse and open world demands com...

4 Lu Yuan, et al. ∙

research

∙ 10/23/2021

Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding

The advances in attention-based encoder-decoder (AED) networks have brou...

1 Wei Wang, et al. ∙

research

∙ 09/10/2021

Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering

Video question answering (VideoQA) is challenging given its multimodal c...

8 Min Peng, et al. ∙

research

∙ 07/25/2021

A Joint and Domain-Adaptive Approach to Spoken Language Understanding

Spoken Language Understanding (SLU) is composed of two subtasks: intent ...

1 Linhao Zhang, et al. ∙

research

∙ 07/02/2021

Transformer-F: A Transformer network with effective methods for learning universal sentence representation

The Transformer model is widely used in natural language processing for ...

26 Yu Shi, et al. ∙

research

∙ 02/22/2021

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...

10 Junwei Liao, et al. ∙

research

∙ 02/12/2021

Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders

Recently, universal neural machine translation (NMT) with shared encoder...

12 Junwei Liao, et al. ∙

research

∙ 02/11/2021

Speech-language Pre-training for End-to-end Spoken Language Understanding

End-to-end (E2E) spoken language understanding (SLU) can infer semantics...

9 Yao Qian, et al. ∙

research

∙ 11/08/2020

Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations

In this study, we try to address the problem of leveraging visual signal...

0 Shahram Ghorbani, et al. ∙

research

∙ 10/18/2020

Mixed-Lingual Pre-training for Cross-lingual Summarization

Cross-lingual Summarization (CLS) aims at producing a summary in the tar...

7 Ruochen Xu, et al. ∙

research

∙ 09/29/2020

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension

Span extraction is an essential problem in machine reading comprehension...

0 Huaishao Luo, et al. ∙

research

∙ 09/21/2020

A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming

Analysis of chemical graphs is a major research topic in computational m...

0 Naveed Ahmed Azam, et al. ∙

research

∙ 09/19/2020

Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining

As a spontaneous expression of emotion on face, micro-expression is rece...

13 Min Peng, et al. ∙

research

∙ 09/04/2020

ServiceNet: A P2P Service Network

Given a large number of online services on the Internet, from time to ti...

0 Ji Liu, et al. ∙

research

∙ 08/26/2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

12 Jiawen Yao, et al. ∙

research

∙ 08/24/2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...

19 Ling Zhang, et al. ∙

research

∙ 06/09/2020

Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set

Utilizing computed tomography (CT) images to quickly estimate the severi...

26 Wei Wu, et al. ∙

research

∙ 04/09/2020

Improving Readability for Automatic Speech Recognition Transcription

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...

0 Junwei Liao, et al. ∙

research

∙ 09/29/2019

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

In this work, we propose to study the utility of different meta-graphs, ...

0 Carl Yang, et al. ∙

research

∙ 09/04/2019

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

Text-rich heterogeneous information networks (text-rich HINs) are ubiqui...

0 Yu Shi, et al. ∙

research

∙ 04/07/2019

A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

The automatic recognition of micro-expression has been boosted ever sinc...

0 Min Peng, et al. ∙

research

∙ 11/28/2018

Higher-Order Clustering in Heterogeneous Information Networks

As one type of complex networks widely-seen in real-world application, h...

0 Yu Shi, et al. ∙

research

∙ 07/10/2018

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Heterogeneous information networks (HINs) are ubiquitous in real-world a...

0 Yu Shi, et al. ∙

research

∙ 05/25/2018

Training of photonic neural networks through in situ backpropagation

Recently, integrated optics has gained interest as a hardware platform f...

0 Tyler W. Hughes, et al. ∙

research

∙ 03/05/2018

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks

Heterogeneous information networks (HINs) are ubiquitous in real-world a...

0 Yu Shi, et al. ∙

research

∙ 02/15/2018

Gradient Boosting With Piece-Wise Linear Regression Trees

Gradient boosting using decision trees as base learners, so called Gradi...

0 Yu Shi, et al. ∙

research

∙ 01/19/2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Multi-view networks are ubiquitous in real-world applications. In order ...

0 Yu Shi, et al. ∙

Yu Shi

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