31st International Conference on Neural Information Processing

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ICONIP 2024 brings together a global audience of researchers, academics, and industry experts across diverse disciplines. The conference aims to address real-world challenges through collaborative efforts, contributing to societal betterment.

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Vol. 1 (2024): 31th International Conference on Neural Information Processing (ICONIP) abstracts

Published: 2025-03-18

Track 1: Theory and Algorithms

Binary Classification for Enhancing Explainability of Combined Black-Box and White-Box Models

Shintaro Tanaka; Hitoshi Iima
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BG-Planner: A Planning-Based Decision-Making Model for Playing Board Game

Jiajing Zhang, Jiamei Jiang; Linjing Li; Daniel Zeng
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Distributed Multi-Agent Lifelong Learning

Prithviraj Tarale; Edward Rietman, Hava Siegelmann
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Doc2Event: Extracting Chinese Document-Level Events into Generation Models

Guangshuai Ding; Xiongtao Zhang, Bin Lin; Xiaomin Zhu; Li Ma, Ji Wang, Xiaoguang Ren
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The Bidirectional Awareness Induction in Autoregressive Sequence-To-Sequence Models

Jia Cheng Hu
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Emotion Analysis using Spiking Neural Networks

Kirushnaamoni Ramakrishnan; Raymond Lutu
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A Synaptically Local Spike-Rate-Dependent Plasticity toward Neuromorphic Computing

Narumitsu Ikeda
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Track 2: Cognitive Neurosciences

WSSGCN: Wide Sub-stage Graph Convolutional Networks

Chao Wang; Zheng Tang, Hailu Xu
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Auditory Attention Decoding when switching attention to abrupt sound

Futa Suzuki, Isao Nambu
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Analysis of the Mechanism for a Deep Convolutional Neural Network Model to Predict Attentional Selection Using Adversarial Noise

Kiho Negishi, Akinori Hidaka, Nobuhiko Wagatsuma
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CReTooL: Enhancing Complex Reasoning through Diversified Tool Learning

Yuchen Pan; Xichuan Zhang, Haiyang Wang, Haoyu Zhang, Zhiyuan Wang
The Effect of Prior Programming Knowledge on Memory Efficiency When Learning a New Language

Mojgan Hafezi Fard; Krassie Petrova, Nikola Kasabov, Grace Wang
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Visual-Auditory Multimodal Decoding from Multi-Channel Human Intracranial EEG

Baowen Cheng, Ke Chen, Haoyu Hua, Zehan Wu, Zhuofan Zhao, Liang Chen, Ying Mao; Meng Li
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Track 3: Human Centred Computing

Enhancing Gait Trajectory Prediction through an Adaptive Template Selection Mechanism Adaptive Template Switching for Efficient Gait Prediction

Yifei Yang, Xing Liu, Yuan Chen, Jingshu Shi, Yifan Liu, Yuxin Jin; Xingjun Wang
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Software Modules Clustering Using Social Network Algorithms

Nida Shahab, Naveed Ahmad, Maryam Doborjeh
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How does a GPT perform in Forecasting Severe Respiratory Disease Hospitalizations?

Steffen Albrecht; Alex Kim, João Afonso Madelino, Katharina Dost, Johnny Zhu, David Broderick, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Adrian Trenholme, Nikki Turner, Peter McIntyre, Janine Paynter, Patricia Riddle, Cameron Grant, Jörg Simon Wicker; Gillian Dobbie
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Attention-Based Multimodal Fusion Model For Breast Cancer Diagnostics

Anni Zheng, Wei Qi Yan
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Leveraging User Activity Insights to Enhance Notifications Overload in a Knowledge-Sharing Platform

Moe Thu Zar; Mahsa Mohaghegh
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Track 4: Applications

Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management

DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi
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Voxel-wise Attention Fusion: A Novel Methodology for 3D Occupancy Networks in Autonomous Driving

Hejiu Lu; Sang Hun Lee
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A Comparative Study of Generative Language Models and Bias Evaluations

Vithya Yogarajan, Gillian Dobbie; Kejun Dai, Aaron Keesing
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Integrating Multi-Temporal Feature Ranking with Forecasting Models for Enhanced Stock Price Prediction

Zhenhao Li; Hefei Wang
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SHAP-based Ensemble Learning for Assessing Key Factors Influencing Intention to Use Intercity Railway Service

Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao; Vatanavongs Ratanavaraha
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Implicit Alignment and Long Temporal Context Memory Propagation-Based Video Compression Framework

Zijian Lin; Jianping Luo
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Choose Your Prompt Carefully!

Vithya Yogarajan, Gillian Dobbie, David Trye, Aaron Keesing
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The Potential of Spiking Neural Networks in Predicting Earthquakes in New Zealand

Zhaoxin Wang, Maryam Doborjeh; Nikola Kasabov
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AI-Assisted Infrastructure Monitoring: Supplementing Human Inspections on Auckland Harbour Bridge

Munish Rathee; Boris Bacic
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Data obfuscation using a two-layered, controlled approach

Labani Halder, Payel Sadhukhan, Sarbani Palit
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Classifying IoT Malware with Limited Data: A Few-Shot Learning Framework

Man-Ying Chen; Tao Ban; Shin-Ming Cheng, Takeshi Takahashi
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Self-Supervised Pretraining for Railway Sound Classification

Gabriel Schachinger, Matthias Blaickner; Georg Brandmayr
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Modeling and Predicting Petroleum Wastewater Treatment Outcomes with Neural Networks

Atefeh Enayatollahi
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