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ORCIDIJCNN 2023: Gold Coast, Australia
- International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023. IEEE 2023, ISBN 978-1-6654-8867-9
- Qingyang Zhang, Yiming Yang
, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu:
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. 1-8 - Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. 1-9 - Guoqiang Shi, Zhi Lin, Anjie Peng, Hui Zeng:
An Enhanced Transferable Adversarial Attack Against Object Detection. 1-7 - Wenfeng Huang, Xiangyun Liao, Yinling Qian, Wenjing Jia:
Learning Hierarchical Semantic Information for Efficient Low-Light Image Enhancement. 1-8 - Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. 1-8 - Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj:
Representing Latent Dimensions Using Compressed Number Lines. 1-10 - Alberto Archetti, Matteo Matteucci:
Federated Survival Forests. 1-9 - Zecheng Zhang, Xianfeng Han, Guoqiang Xiao:
IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. 1-8 - Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Jing Wang, Xiangchun He:
Improving Knowledge Tracing with Diverse Question Factors. 1-7 - Yiqi Lin, Ru Wang:
Bandit-NAS: Bandit Sampling Method for Neural Architecture Search. 1-8 - Josimar Edinson Chire Saire, Liang Zhao:
Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization. 1-7 - Wenjue He, Zheng Zhang:
Adaptive Topological Graph Learning for Generalized Multi-View Clustering. 1-8 - Ziqing Lu, Chang Xu, Bo Du:
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. 1-6 - Dianbo Ma, Jianqiang Xiao, Ziyan Gao, Satoshi Yamane:
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking. 1-8 - Shijun Zou, Wei Wu:
A Robust Hybrid Identification Framework Combines Gait And Face Recognition. 1-6 - Tong Zhu, Zhaoxia Yin, Wanli Lyu, Jiefei Zhang, Bin Luo:
Imperceptible Adversarial Attack on S Channel of HSV Colorspace. 1-7 - Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu:
Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. 1-9 - Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han:
PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. 1-8 - Yan Guo, Yuying Zhu, Mingyang Hu, Shuiyuan Ding:
An Improved Branch Entropy Based Method for Chinese New Words Detection. 1-8 - Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
Explaining Identity-aware Graph Classifiers through the Language of Motifs. 1-8 - Maximilian Wohlschläger, Nina Leiter, Maximilian Dietlmeier, Martin G. J. Löder, Martin Versen, Christian Laforsch:
Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials. 1-9 - Xingming Luo, Yaochi Zhao, Zhuhua Hu, Yanfei Zhu, Jiezhuo Zhong:
Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing Correlation Between Inputs and Activations. 1-8 - Chengchao Xu, Xinmei Tian:
Semantic-Aware Mixup for Domain Generalization. 1-8 - Changchun Wen, Hu Liang, Shengrong Zhao:
LCCN: A Lightweight Capture Context Network for Image Super-Resolution. 1-8 - Corneliu T. C. Arsene, Alessandra Parisio:
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems. 1-8 - Xuewei Li, Pinjie Li, Ruixuan Zhang, Chenhan Wang, Xi Wei, Mankun Zhao:
Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images. 1-8 - Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han:
DeepReversion: Reversely Inferring the Original Face from the DeepFake Face. 1-7 - Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu:
MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning. 1-8 - Liangxuan Zhu, Han Li, Wen Wen, Lingjuan Wu, Hong Chen:
Modal Neural Network: Robust Deep Learning with Mode Loss Function. 1-8 - Zhe Sun, Zongwen Yang, Zhongyu Huang, Yu Zhang, Jianzhong Zhang:
Interesting Near-boundary Data: Inferring Model Ownership for DNNs. 1-8 - Piotr A. Kowalski, Maciej Walczak:
Feature selection for regression tasks base on explainable artificial intelligence procedures. 1-8 - Xinyang Li, Xinyu Lei, Yantao Li, Huafeng Qin, Yiwen Hu:
Towards Inference of Original Graph Data Information from Graph Embeddings. 1-10 - Xianhui Cheng, Shoumeng Qiu, Zhikang Zou, Jian Pu, Xiangyang Xue:
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection. 1-8 - Anil Yemme, Shayan Srinivasa Garani:
A Scalable GPT-2 Inference Hardware Architecture on FPGA. 1-8 - Mehdi Rafiei, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. 1-8 - Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. 1-9 - Marcel Hoffmann, Lukas Galke, Ansgar Scherp:
Open-World Lifelong Graph Learning. 1-9 - Junhao Zhang, Junjie Tang, Juncheng Jin, Zehui Qu:
Spatio-Temporal Pre-Training Enhanced Fast Pure Tansformer Network for Traffic Flow Forecasting. 1-8 - Sarah Alhammad, Brian C. Lovell:
Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images. 1-8 - Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. 1-10 - Daniel Lukas Rothenpieler, Shahin Amiriparian:
METEOR Guided Divergence for Video Captioning. 1-7 - Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu:
Two-way Cross-domain Recommendation with Central Social Influence. 1-8 - Yiwei Luo, Min Jiang:
Solving Continual Learning with Noisy Labels by Sample Selection and Replay. 1-8 - Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek:
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. 1-8 - Weidong Tian, Ruihua Tian, Zhongqiu Zhao, Quan Ren:
An Answer FeedBack Network for Visual Question Answering. 1-7 - Guang Yang, Yin Tang, Jun Li, Jianhua Xu, Xili Wan:
AMD: Adaptive Masked Distillation for Object Detection. 1-8 - Xiaofeng Zhang, Yudi Zhao, Chaochen Gu, Changsheng Lu, Shanying Zhu:
SpA-Former:An Effective and lightweight Transformer for image shadow removal. 1-8 - Kathleen Anderson, Philipp Grüning, Erhardt Barth:
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. 1-7 - Daniel Köglmayr, Christoph Räth:
A fast reservoir computing based image encryption algorithm. 1-7 - Wen Gu, Jianglin Lan, Byron Mason:
Filter-based Online Neuro-Fuzzy Model Learning using Noisy Measurements. 1-6 - Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua:
Neural Network-based Fast Liver Ultrasound Image Segmentation. 1-8 - Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. 1-8 - Xin Lian, Zhiqiu Huang, Chao Wang:
AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks. 1-7 - Ting Lu, Haitao Jiang, Shan Chang, Guohua Liu:
Improving Math Word Problems Solver with Logical Semantic Similarity. 1-8 - Francesco Lattari, Vincenzo Santomarco, Riccardo Santambrogio, Alessio Rucci, Matteo Matteucci:
CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation. 1-8 - Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo:
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. 1-8 - Yuanhao Li:
Clustering joint Locality Preserving Projections. 1-10 - Xiaodong Ma, Weiwei Fang:
Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs. 1-9 - Zhou Jiang, Jing Yang, Chunyu Xuan, Dong Zhang, Shaoyi Du:
Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation. 1-8 - Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Textual Entailment. 1-8 - Mathieu Renault, Siamak Mehrkanoon:
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. 1-8 - Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz:
Non-Standard Echo State Networks for Video Door State Monitoring. 1-8 - Songda Li, Yunqi Zhang, Yuquan Lan, Hui Zhao, Gang Zhao:
From Implicit to Explicit: A Simple Generative Method for Aspect-Category-Opinion-Sentiment Quadruple Extraction. 1-8 - Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes:
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. 1-8 - Youjin Seo, ByeongChang Jeong, Yeji Yoon, Daegyeom Kim, JuHong Min, Cheol E. Han:
3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. 1-6 - Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long:
Community-Aware Federated Video Summarization. 1-8 - Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu:
Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. 1-8 - Shayan Gharib, Arto Klami:
Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. 1-8 - Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li:
Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization. 1-8 - Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong:
RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. 1-8 - Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation. 1-6 - Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji:
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. 1-9 - Hongjie Zhang, Haoming Ma, Zhenyu Chen:
FastAct: A Lightweight Actor Compression Framework for Fast Policy Learning. 1-8 - Zhangwei Li, Yuhui Deng, Zhimin Tang, Junhao Huang:
SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification. 1-8 - Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. 1-8 - Jinqiao Dou, Xi Chen, Yuehai Wang:
Specialty may be better: A decoupling multi-modal fusion network for Audio-visual event localization. 1-8 - Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham:
WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. 1-10 - Meng Liu, Jianjun Li, GuoHui Li, Zhiqiang Guo, Chaoyang Wang, Peng Pan:
Cross Domain Deep Collaborative Filtering without Overlapping Data. 1-8 - Yinglin Zhang, Zichao Cai, Risa Higashita, Jiang Liu:
LoGo Transformer: Hierarchy Lightweight Full Self-Attention Network for Corneal Endothelial Cell Segmentation. 1-7 - Ni Yang, Meng Yang:
Multi-hop Attention GNN with Answer-Evidence Contrastive Loss for Multi-hop QA. 1-7 - Pedram Agand, Mo Chen, Hamid D. Taghirad:
Online Probabilistic Model Identification Using Adaptive Recursive MCMC. 1-8 - Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan:
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. 1-8 - Xiulan Yuan, Xuegang Hu, Pei-Pei Li:
Multi-source Multi-label Feature Selection. 1-8 - Yuanzhe Yang, Li Yang, Lingwei Li, Xiaoxiao Ma, Lei Yu, Chun Zuo:
DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network. 1-8 - Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul:
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. 1-9 - Hong Guo, Jianwu Lin, Fanlin Huang:
Market Making with Deep Reinforcement Learning from Limit Order Books. 1-8 - Zhihao Fan, Huiyong Li, Shasha Mo, Jianwei Niu:
Topic-Aware Modeling for Unsupervised Extractive Summarization. 1-8 - Pourya Shamsolmoali, Masoumeh Zareapoor:
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold. 1-8 - Pengcheng Du, Tao Deng, Fei Yan:
What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model. 1-8 - Youwen Zhang, Xudong Wang, Linlin Wang, Ke Yan, Huan Chen:
Out-of-Scope Intent Detection with Supervised Deep Metric Learning. 1-8 - Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li:
Proxy-Aware Cross-Domain Sequential Recommendation. 1-8 - Rodrigo Exterkoetter, Gustavo Rachid Dutra, Leandro Passos de Figueiredo, Fernando Luis Bordignon, Alexandre Anozé Emerick, Gilson Moura Silva Neto, Mauro Roisenberg:
Deep Feature Extraction for Data Assimilation with Ensemble Smoother. 1-8 - Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li:
A General Heterogeneous Hypergraph Neural Network for Node Classification. 1-7 - Jin Huang, Yoonsuck Choe:
Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling. 1-8 - Yuta Yajima, Jun Kato, Akihiro Inokuchi:
The Third Common Interface for Graph Neural Networks. 1-8 - Leandro Anghinoni, Yu-tao Zhu, Donghong Ji, Liang Zhao:
TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. 1-8 - Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. 1-8 - Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. 1-8 - Jindian Su, Xiaobin Lin, Yunhao Xie, Zehua Cheng:
CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check. 1-8 - Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. 1-8 - Zhaokun Zhou, Shuaijian Ji, Yuqing Wang, Zhenyu Weng, Yuesheng Zhu:
TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition. 1-6 - Ming Wu, Qiufen Ni, Jigang Wu:
Relation-Aware Graph Attention Network for Multi-Behavior Recommendation. 1-8 - Satoru Koda, Alon Zolfi, Edita Grolman, Asaf Shabtai, Ikuya Morikawa, Yuval Elovici:
Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. 1-10 - Xin Guo, Xuejing Wang, Qian Chen, Suge Wang, Jianxing Zheng, Jian Liao, Hui Liu:
Heterogeneous Graph Interaction based Event Extraction with Attentional Position Embeddings. 1-8 - Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. 1-8 - Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci:
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. 1-9 - Huan Liu, Mingwen Shao, Yuanjian Qiao, Fukang Liu:
An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. 1-8 - Meng Chen, Jun Gao, Wuxin Yu, Hujian Peng:
LD2-YOLO: A Defect Detection Method for Automotive Composite Leather. 1-8 - Tingting Hu, Tao Zhang:
An Anchor-Free Detector to Detect Small Objects. 1-7 - Shuang Cui, Fanjiang Xu, Xiongxin Tang, Quan Zheng:
Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. 1-8 - S. K. Abhilash, Venu Madhav Nookala, Adithya Babu, Karthik S, Mithun VR:
MHCP-RCNN: Multi-Human Color Parsing Segmentation using Multi-Task Network. 1-8 - Peter G. Stratton, Tara J. Hamilton, Andrew Wabnitz:
Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks. 1-7 - Xiaobing Li, Yan Tang:
Time Series Enhanced Graph Neural Networks for Session-based Recommendation. 1-8 - Zhe Wen, Qingyi Si, Zheng Lin, Huan Liu, Peng Fu, Weiping Wang:
Schema Item Matters in Knowledge Base Question Answering. 1-8 - Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. 1-8 - Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai:
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. 1-8 - Haitian Yang, Degang Sun, Yan Wang, Nan Zhao, Shixiang Zhang, Weiqing Huang:
AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification. 1-8 - Bowen Jiang, Tao Yue, Xuemei Hu:
Thermal Noise Removal of Magnetic Resonance Images: A Deep Learning Approach Based on an Attentive Residue Multi-Dilated Network with Adaptive Filtering and Discrete Cosine Transform. 1-10 - Jimson Paulo Layacan, Aengus Martin Donaire, Harvey Felipe, Clark Kendrick Go:
Revealing Causal Graph Structure in Pigeon Flocks Using Attentions in Temporal ConvNet. 1-7 - Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Leandro Malloy Diniz:
Algorithmic Recourse in Mental Healthcare. 1-8</