The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.
The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions.
The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Human Centred Computing.- Paper Recommendation with Multi-View
Knowledge-aware Attentive Network.- Biological Tissue Sections Instance
Segmentation based on Active Learning.- Research on automatic segmentation
algorithm of brain tumor image based on multi-sequence self-supervised fusion
in complex scenes.- An Effective Morphological Analysis Framework of
Intracranial Artery in 3D Digital Subtraction Angiography.- Effective Domain
Adaptation for Robust Dysarthric Speech Recognition.- TCNet: Texture and
Contour-Aware Model for Bone Marrow Smear Region of Interest
Selection.- Diff-Writer: A Diffusion Model Based Stylized Online Handwritten
Chinese Character Generator.- EEG epileptic seizure classification using
hybrid time-frequency attention deep network.- A Feature Pyramid Fusion
Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker
Image Segmentation.- LDW-RS Loss: Label Density-Weighted Loss with Ranking
Similarity Regularization for Imbalanced Deep Fetal Brain Age
Regression.- Segment Anything Model for Semi-Supervised Medical Image
Segmentation via selecting reliable pseudo-labels.- Aided diagnosis of autism
spectrum disorder based on a mixed neural network model.- A Supervised
Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph
Topology for Human Action Recognition.- Multi-Scale Feature Fusion Neural
Network for Accurate Prediction of Drug-Target Interactions.- GoatPose: A
Lightweight and Efficient Network with Attention Mechanism.- Sign Language
Recognition for Low Resource Languages using Few Shot Learning.- T Cell
Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer
Classification.- Weakly Supervised Temporal Action Localization Through
Segment Contrastive Learning.- S-CGRU: An Efficient Model for Pedestrian
Trajectory Prediction.- Prior-Enhanced Network for Image-based PM2.5
Estimation from Imbalanced Data Distribution.- Dynamic Data Augmentation via
Monte-Carlo Tree Search for Prostate MRI Segmentation.- Language Guided Graph
Transformer for Skeleton Action Recognition.- A Federated Multi-Stage
Light-Weight Vision Transformer for Respiratory Disease Detection.- Curiosity
Enhanced Bayesian Personalized Ranking for Recommender Systems.- Modeling
online adaptive navigation in virtual environments based on PID control.- LIP
READING USING TEMPORAL ADAPTIVE MODULE.- AudioFormer: Channel Audio Encoder
Based on Multi-Granularity Features.- A Context Aware Lung Cancer Survival
Prediction Network by Using Whole Slide Images.- A Novel Approach for
Improved Pedestrian Walking Speed Prediction: Exploiting Proximity
Correlation.- MView-DTI: A multi-view feature fusion-based approach for
drug-target protein interaction prediction.- User Multi-Preferences Fusion
for Conversational Recommender Systems.- Debiasing MedicationRecommendation
with Counterfactual Analysis.- Detecting Depression and Alcoholism Disorders
by EEG Signal.- Unleash the Capabilities of the Vision-Language Pre-training
Model in Gaze Object Prediction.- A Two-Stage Network for Segmentation of
Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global
Fusion Using 3D Transformer and 2D CNN.- Integrating Multi-View Feature
Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage
Site Prediction.- KSHFS: Research on Drug-Drug Interaction Prediction Based
on Knowledge Subgraph and High-order Feature-aware
Structure.- Self-Supervised-Enhanced Dual Hierarchical Graph Convolution
Network for Social Recommendation.- Dynamical Graph Echo State Networks with
Snapshot Merging for Spreading Process Classification.- Trajectory Prediction
with Contrastive Pre-training and Social Rank Fine-tuning.- Three-Dimensional
Medical Image Fusion with Deformable Cross-Attention.- Handling Class
Imbalance in Forecasting Parkinsons Disease Wearing-off with Fitness Tracker
Dataset.- Real-Time Instance Segmentation and Tip Detection for
Neuroendoscopic Surgical Instruments.- Spatial Gene Expression Prediction
using Hierarchical Sparse Attention.
