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

Honeysuckle (Lonicera japonica) and Huangqi (Astragalus membranaceus) Suppress SARS-CoV-2 Entry and COVID-19 Related Cytokine Storm in Vitro

Frontiers in Pharmacology, March 2022

Artificial Intelligence In Peripheral Blood Films: An Evolving Landscape

Correspondence to "Artificial intelligence—refinement and possibilities." The Lancet Haematology, January 2022

Natural Language Processing

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)

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

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

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

The 35th AAAI Conference on Artificial Intelligence (AAAI), Febuary 2021

Computer Vision

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

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

Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

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

Meta-Learned Feature Critics for Domain-Generalized Semantic Segmentation

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

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

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

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

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

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

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

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

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

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

Adversarial Teacher-Student Representation Learning for Domain Generalization

Neural Information Processing Systems (NeurIPS), September 2021

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

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

Indoor Panorama Planar 3D Reconstruction via Divide and Conquer

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

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

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

Self-Supervised Deep Learning for Fisheye Image Rectification

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