AICS Research Publications

research with impact

Our researchers publish regularly in top international academic conferences and journals. Our key research areas include Biomedical Science, Natural Language Processing, and Computer Vision.

Biomedical Science

Artificial Intelligence-Generated Facial Images for Medical Education

Medical Science Educator, November 2023

Artificial intelligence-generated peripheral blood film images using generative adversarial networks and diffusion models

The American Journal of Hematology, September 2023

Real-World Evaluation of a Semi-Supervised AI Model (ASUS Blade) with the Cellavision DM9600

International Symposium on Technical Innovations in Laboratory Hematology (ISLH), May 2023

Virofree, an Herbal Medicine-Based Formula, Interrupts the Viral Infection of Delta and Omicron Variants of SARS-CoV-2

Frontiers in Pharmacology, July 2022

Artificial Intelligence In Peripheral Blood Films: An Evolving Landscape

The Lancet Haematology, January 2022

From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film

Blood Reviews, November 2023

Artificial intelligence generated leukemia cell images

The American Journal of Hematology, July 2023

Artificial intelligence for malaria: Bridging the gap for real world usage

The Lancet Regional Health - Southeast Asia, September 2022

Honeysuckle (Lonicera japonica) and Huangqi (Astragalus membranaceus) suppress SARS-CoV2 entry and COVID-19 related cytokine storm in vitro

Frontiers in Pharmacology, March 2022

Natural Language Processing

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records

MEDIQA-Sum @ CLEF, September 2023

Few-shot entity linking of food names

Information Processing & Management, September 2023

Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature

CODI Workshop @ ACL, July 2023

Linear Classifier: An Often-Forgotten Baseline for Text Classification

Association for Computational Linguistics (ACL), July 2023

A Two-Stage Decoder for Efficient ICD Coding

Association for Computational Linguistics (ACL), July 2023

UDAPTER – Efficient Domain Adaptation Using Adapter

European Chapter of the Association for Computational Linguistics (EACL), May 2023

Improving generalizability of distilled self-supervised speech processing models under distorted settings

IEEE Spoken Language Technology Workshop (SLT), January 2023

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN

Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), July 2022

Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

IEEE/ACM Transactions on Audio, Speech, and Language Processing, July 2021

Global information-aware argument mining based on a top-down multi-turn QA model

Information Processing & Management, September 2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation

InterSpeech, August 2023

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models

BioNLP Workshop @ ACL, July 2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation

Association for Computational Linguistics (ACL), July 2023

Ensemble knowledge distillation of self-supervised speech models

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023

Scientific Document Processing: Challenges for Modern Learning Methods

International Journal on Digital Libraries, March 2023

Can Transformers Reason in Fragments of Natural Language?

Empirical Methods in Natural Language Processing (EMNLP), December 2022

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities

Association for Computational Linguistics (ACL), May 2022

Parameter Selection: Why We Should Pay More Attention to It

Association for Computational Linguistics (ACL), August 2021

Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation

AAAI Conference on Artificial Intelligence, February 2021

Computer Vision

Missing Recovery: Single Image Reflection Removal Based on Auxiliary Prior Learning

IEEE Transactions on Image Processing, December 2022

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation

IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss

International Conference on Computer Vision (ICCV), October 2021

All Characteristics Preservation: Single Image Dehazing based on Hierarchical Detail Reconstruction Wavelet Decomposition Network

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021

Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification

IEEE International Conference on Image Processing (ICIP), September 2021

Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains

IEEE International Conference on Image Processing (ICIP), September 2021

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement

IEEE International Conference on Robotics and Automation (ICRA), June 2021

Indoor Panorama Planar 3D Reconstruction via Divide and Conquer

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis

IEEE International Conference on Pattern Recognition (ICPR), January 2021

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

IEEE International Conference on Computer Vision (CVPR), June 2020

Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020

A Multi-domain and Multi-modal Representation Disentangler for Cross-Domain Image Manipulation and Classification

IEEE Transactions on Image Processing, January 2020

Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation

IEEE International Conference on Computer Vision (ICCV), October 2019

Image data augmentation with unpaired image-to-image camera model translation

IEEE International Conference on Image Processing (ICIP), October 2022

SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification

AAAI Conference on Artificial Intelligence, February 2022

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

British Machine Vision Conference (BMVC), November 2021

Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2021

Adversarial Teacher-Student Representation Learning for Domain Generalization

Neural Information Processing Systems (NeurIPS), September 2021

Meta-Learned Feature Critics for Domain-Generalized Semantic Segmentation

IEEE International Conference on Image Processing (ICIP), September 2021

DesmokeNet: A Two-Stage Smoke Removal Pipeline Based on Self-Attentive Feature Consensus and Multi-Level Contrastive Regularization

IEEE Trans. Circuits and Systems for Video Technology, August 2021

S3Net: A Single Stream Structure for Depth Guided Image Relighting

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2021

Multi-modal Bifurcated Network for Depth Guided Image Relighting

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2021

Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning

IEEE International Conference on Pattern Recognition (ICPR), January 2021

Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining

IEEE International Conference on Image Processing (ICIP), October 2020

Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment

IEEE International Conference on Computer Vision (CVPR), June 2020

Self-Supervised Deep Learning for Fisheye Image Rectification

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification

IEEE International Conference on Computer Vision (ICCV), October 2019

Others

Multi-Scale Aggregation with Self-Attention Network for Modeling Electrical Motor Dynamics

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021

LRG-Net: Lightweight Residual Grid Network for Modeling Electrical Induction Motor Dynamics

European Signal Processing Conference (EUSIPCO), August 2021