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08/31/2023
Robust Representation Learning for Unreliable Partial Label Learning
Partial Label Learning (PLL) is a type of weakly supervised learning whe...
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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...
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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...
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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...
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06/08/2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Advances in deep learning have greatly improved structure prediction of ...
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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...
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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...
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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...
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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...
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02/20/2023
Unreliable Partial Label Learning with Recursive Separation
Partial label learning (PLL) is a typical weakly supervised learning pro...
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02/16/2023
Learning From Biased Soft Labels
Knowledge distillation has been widely adopted in a variety of tasks and...
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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...
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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...
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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...
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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...
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08/19/2022
Predicting the protein-ligand affinity from molecular dynamics trajectories
The accurate protein-ligand binding affinity prediction is essential in ...
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07/20/2022
Quantized Training of Gradient Boosting Decision Trees
Recent years have witnessed significant success in Gradient Boosting Dec...
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06/23/2022
Dynamic Scene Deblurring Base on Continuous Cross-Layer Attention Transmission
The deep convolutional neural networks (CNNs) using attention mechanism ...
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05/09/2022
Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering
Video question answering (VideoQA) is challenging given its multimodal c...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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03/09/2022
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
This technical note describes the recent updates of Graphormer, includin...
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02/28/2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets
This technical note describes the recent updates of Graphormer, includin...
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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...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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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...
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09/10/2021
Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering
Video question answering (VideoQA) is challenging given its multimodal c...
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07/25/2021
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
Spoken Language Understanding (SLU) is composed of two subtasks: intent ...
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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 ...
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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...
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02/12/2021
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Recently, universal neural machine translation (NMT) with shared encoder...
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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...
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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...
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10/18/2020
Mixed-Lingual Pre-training for Cross-lingual Summarization
Cross-lingual Summarization (CLS) aims at producing a summary in the tar...
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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...
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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...
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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...
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09/04/2020
ServiceNet: A P2P Service Network
Given a large number of online services on the Internet, from time to ti...
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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...
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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...
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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...
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04/09/2020
Improving Readability for Automatic Speech Recognition Transcription
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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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, ...
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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...
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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...
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11/28/2018
Higher-Order Clustering in Heterogeneous Information Networks
As one type of complex networks widely-seen in real-world application, h...
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07/10/2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Heterogeneous information networks (HINs) are ubiquitous in real-world a...
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05/25/2018
Training of photonic neural networks through in situ backpropagation
Recently, integrated optics has gained interest as a hardware platform f...
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03/05/2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Heterogeneous information networks (HINs) are ubiquitous in real-world a...
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02/15/2018
Gradient Boosting With Piece-Wise Linear Regression Trees
Gradient boosting using decision trees as base learners, so called Gradi...
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01/19/2018