b'Bo Wang'

research

∙ 06/02/2023

Spatially Resolved Gene Expression Prediction from H E Histology Images via Bi-modal Contrastive Learning

Histology imaging is an important tool in medical diagnosis and research...

0 Ronald Xie, et al. ∙

research

∙ 05/23/2023

CongFu: Conditional Graph Fusion for Drug Synergy Prediction

Drug synergy, characterized by the amplified combined effect of multiple...

0 Oleksii Tsepa, et al. ∙

research

∙ 05/19/2023

Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

Large Language Models (LLMs) present immense potential in the medical fi...

0 Augustin Toma, et al. ∙

research

∙ 05/19/2023

DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment

Sensitivity to severe occlusion and large view angles limits the usage s...

0 Heyuan Li, et al. ∙

research

∙ 05/19/2023

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona

The personalized dialogue explores the consistent relationship between d...

0 Yihong Tang, et al. ∙

research

∙ 05/16/2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation

Event extraction aims to recognize pre-defined event triggers and argume...

0 Bo Wang, et al. ∙

research

∙ 05/06/2023

Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling

Long patch validation time is a limiting factor for automated program re...

0 Yuan-an Xiao, et al. ∙

research

∙ 05/03/2023

Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat

This paper describes our submission to the MEDIQA-Chat 2023 shared task ...

0 John Giorgi, et al. ∙

research

∙ 04/24/2023

Segment Anything in Medical Images

Segment anything model (SAM) has revolutionized natural image segmentati...

0 Jun Ma, et al. ∙

research

∙ 04/09/2023

Variational operator learning: A unified paradigm for training neural operators and solving partial differential equations

Based on the variational method, we propose a novel paradigm that provid...

0 Tengfei Xu, et al. ∙

research

∙ 02/23/2023

Empathetic Response Generation via Emotion Cause Transition Graph

Empathetic dialogue is a human-like behavior that requires the perceptio...

0 Yushan Qian, et al. ∙

research

∙ 02/08/2023

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks

Learning the causal structure of observable variables is a central focus...

0 Lazar Atanackovic, et al. ∙

research

∙ 01/26/2023

User-Customizable Transpilation of Scripting Languages

A transpiler converts code from one programming language to another. Man...

0 Bo Wang, et al. ∙

research

∙ 01/12/2023

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

Towards human-like dialogue systems, current emotional dialogue approach...

0 Yushan Qian, et al. ∙

research

∙ 01/04/2023

Motion-based Post-Processing: Using Kalman Filter to Exclude Similar Targets in Underwater Object Tracking

Visual tracker includes network and post-processing. Despite the color d...

0 Yunfeng Li, et al. ∙

research

∙ 12/20/2022

Exploring the Challenges of Open Domain Multi-Document Summarization

Multi-document summarization (MDS) has traditionally been studied assumi...

5 John Giorgi, et al. ∙

research

∙ 12/07/2022

On the Convergence of the Multi-scale Deep Neural Network (MscaleDNN) in Approximating Oscillatory Functions

In this paper, we derive diffusion models for the error evolution for a ...

0 Bo Wang, et al. ∙

research

∙ 11/30/2022

Gradient Domain Weighted Guided Image Filtering

As an excellent local filter, guided image filters are subject to halo a...

0 Bo Wang, et al. ∙

research

∙ 11/25/2022

CodeExp: Explanatory Code Document Generation

Developing models that can automatically generate detailed code explanat...

0 Haotian Cui, et al. ∙

research

∙ 11/05/2022

Aligning Recommendation and Conversation via Dual Imitation

Human conversations of recommendation naturally involve the shift of int...

0 Jinfeng Zhou, et al. ∙

research

∙ 11/04/2022

OSIC: A New One-Stage Image Captioner Coined

Mainstream image caption models are usually two-stage captioners, i.e., ...

0 Bo Wang, et al. ∙

research

∙ 10/28/2022

Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing

The traditional centralized baseband processing architecture is faced wi...

0 Yanqing Xu, et al. ∙

research

∙ 10/19/2022

GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs

Image guided depth completion aims to recover per-pixel dense depth maps...

0 Xin Liu, et al. ∙

research

∙ 08/25/2022

Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons

In multi-person 2D pose estimation, the bottom-up methods simultaneously...

12 Yu Cheng, et al. ∙

research

∙ 08/18/2022

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Empathy is a trait that naturally manifests in human conversation. Theor...

0 Jinfeng Zhou, et al. ∙

research

∙ 08/08/2022

Template-based Abstractive Microblog Opinion Summarisation

We introduce the task of microblog opinion summarisation (MOS) and share...

0 Iman Munire Bilal, et al. ∙

research

∙ 07/16/2022

Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training

Instance discrimination contrastive learning (CL) has achieved significa...

0 Zizheng Huang, et al. ∙

research

∙ 07/12/2022

Indoor optical fiber eavesdropping approach and its avoidance

The optical fiber network has become a worldwide infrastructure. In addi...

0 Haiqing Hao, et al. ∙

research

∙ 05/12/2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction

We consider event extraction in a generative manner with template-based ...

0 Xiao Liu, et al. ∙

research

∙ 05/02/2022

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

Monocular 3D human pose estimation has made progress in recent years. Mo...

0 Yu Cheng, et al. ∙

research

∙ 04/03/2022

A sequence-to-sequence approach for document-level relation extraction

Motivated by the fact that many relations cross the sentence boundary, t...

0 John Giorgi, et al. ∙

research

∙ 03/31/2022

Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...

4 Christian Eichenberger, et al. ∙

research

∙ 03/29/2022

Hybrid Routing Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...

0 De Cheng, et al. ∙

research

∙ 03/04/2022

Interactive Image Synthesis with Panoptic Layout Generation

Interactive image synthesis from user-guided input is a challenging task...

11 Bo Wang, et al. ∙

research

∙ 02/07/2022

A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation

The segmentation module which precisely outlines the nodules is a crucia...

0 Xinliang Fu, et al. ∙

research

∙ 01/31/2022

MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection

The mortality of lung cancer has ranked high among cancers for many year...

0 Juanyun Mai, et al. ∙

research

∙ 01/28/2022

Neural-FST Class Language Model for End-to-End Speech Recognition

We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...

0 Antoine Bruguier, et al. ∙

research

∙ 12/31/2021

Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach

There have been significant efforts devoted to solving the longevity ris...

0 Ka Kin Lam, et al. ∙

research

∙ 12/21/2021

High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling

Completing an unordered partial point cloud is a challenging task. Exist...

0 Ren-Wu Li, et al. ∙

research

∙ 11/10/2021

Traffic4cast – Large-scale Traffic Prediction using 3DResNet and Sparse-UNet

The IARAI competition Traffic4cast 2021 aims to predict short-term city-...

0 Bo Wang, et al. ∙

research

∙ 11/08/2021

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers

Mass spectrometry is a key tool in the study of small molecules, playing...

0 Adamo Young, et al. ∙

research

∙ 09/06/2021

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction

Aspect-level sentiment classification (ALSC) aims at identifying the sen...

0 Bo Wang, et al. ∙

research

∙ 09/03/2021

A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis

Dementia is a family of neurogenerative conditions affecting memory and ...

0 Dimitris Gkoumas, et al. ∙

research

∙ 08/06/2021

Transferring Knowledge Distillation for Multilingual Social Event Detection

Recently published graph neural networks (GNNs) show promising performan...

8 Jiaqian Ren, et al. ∙

research

∙ 06/30/2021

Evaluation of Thematic Coherence in Microblogs

Collecting together microblogs representing opinions about the same topi...

0 Iman Munire Bilal, et al. ∙

research

∙ 06/29/2021

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Numerous detection problems in computer vision, including road crack det...

4 Kai Li, et al. ∙

research

∙ 06/22/2021

SynGuar: Guaranteeing Generalization in Programming by Example

Programming by Example (PBE) is a program synthesis paradigm in which th...

0 Bo Wang, et al. ∙

research

∙ 05/22/2021

Two-stage Training for Learning from Label Proportions

Learning from label proportions (LLP) aims at learning an instance-level...

0 Jiabin Liu, et al. ∙

research

∙ 03/29/2021

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

Onfocus detection aims at identifying whether the focus of the individua...

0 Dingwen Zhang, et al. ∙

research

∙ 02/18/2021

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches

A rapid decline in mortality and fertility has become major issues in ma...

0 Ka Kin Lam, et al. ∙

Bo Wang

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