陈芳｜上海对外经贸大学｜学者主页

2026

SPRINT: Single-Step Generative Recommendation via Average Probability Velocity

Zhuo Cai, Shoujin Wang, Peilin Zhou, Min Xu, Julian McAuley, Fang Chen

arXiv preprint

2026

Astra: a generalizable report generation foundation model for 3D computed tomography

Zhuhao Wang, Fang Chen, Chaohui Yu, Zihan Li, Yuchao Zheng, Jing Wang, Xuan Yang, Jia Guo, Zhenlu Yang, Xingju Zheng, Yihua Sun, Haojie Han, Xiaoxiao Qin, Zhan Feng, Wenbo Xiao, Chao Zhu, Yuehua Li, Shipeng Zhang, Hao Luo, Yunsong Peng, Fan Wang, Hongen Liao

arXiv preprint

2026

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation

Yushan Liu, Peibo Sun, Xintao Chao, Zhenyang Yang, Yifan Xie, Lingfeng Zhang, Shoujie Li, Chenyu Tang, Fang Chen, Xiao-Ping Zhang, Wenbo Ding

arXiv preprint

2026

ArthroCut: Autonomous Policy Learning for Robotic Bone Resection in Knee Arthroplasty

Xu Lu, Yiling Zhang, Wenquan Cheng, Longfei Ma, Fang Chen, Hongen Liao

arXiv preprint

2026

MARCUS: Missing-Aware Region Representation with Contextual Urban Signals for Rent Prediction

Chenya Huang, Bin Liang, Zhidong Li, Yuxi Lu, Kunqi Li, Justin Wang, Fang Chen

arXiv preprint

2026

AudioGuard: Toward Comprehensive Audio Safety Protection Across Diverse Threat Models

Mintong Kang, Chen Fang, Bo Li

arXiv preprint

2026

Self-Supervised Mask-Aware Transformers for Fault-Tolerant FBG Force Sensing in Minimally Invasive Surgical Robotics

Peibo Sun, Shiyuan Dong, Shucheng Ye, Jianrong Cai, Yushan Liu, Hongen Liao, Tianqi Huang, Fang Chen

arXiv preprint

2026

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation

Yushan Liu, Peibo Sun, Shoujie Li, Yifan Xie, Lingfeng Zhang, Xintao Chao, Shiyuan Dong, Fang Chen, Xiao-Ping Zhang, Wenbo Ding

arXiv preprint

2026

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

Torsten Olivi Tiltack, Yifei Dong, Kun Yu, Xu Wang, Wei Liu, Jianlong Zhou, Ren Ping Liu, Fang Chen

arXiv preprint

2025

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model

Fang Chen, Alex Villa, Gongbo Liang, Fuxing Li, Xiaoyi Lu, Meng Tang

arXiv preprint

2025

Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey

Chenya Huang, Zhidong Li, Fang Chen, Bin Liang

arXiv preprint

2025

SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation

Yunhao Lv, Lingyu Chen, Jian Wang, Yangxi Li, Fang Chen

arXiv preprint

2025

MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution

Zhe Wang, Yuhua Ru, Aladine Chetouani, Fang Chen, Fabian Bauer, Liping Zhang, Didier Hans, Rachid Jennane, Mohamed Jarraya, Yung Hsin Chen

arXiv preprint

2025

Native Intelligence Emerges from Large-Scale Clinical Practice: A Retinal Foundation Model with Deployment Efficiency

Jia Guo, Jiawei Du, Shengzhu Yang, Shuai Lu, Wenquan Cheng, Kaiwen Zhang, Yihua Sun, Chuhong Yang, Weihang Zhang, Fang Chen, Yilan Wu, Lie Ju, Guochen Ning, Longfei Ma, Huiping Yao, Jinyuan Wang, Peilun Shi, Yukun Zhou, Jie Xu, Pearse A. Keane, Hanruo Liu, Hongen Liao, Ningli Wang, Huiqi Li

arXiv preprint

2025

Uncertainty-Aware Post-Hoc Calibration: Mitigating Confidently Incorrect Predictions Beyond Calibration Metrics

Hassan Gharoun, Mohammad Sadegh Khorshidi, Kasra Ranjbarigderi, Fang Chen, Amir H. Gandomi

arXiv preprint

2025

PersonaLive! Expressive Portrait Image Animation for Live Streaming

Zhiyuan Li, Chi-Man Pun, Chen Fang, Jue Wang, Xiaodong Cun

arXiv preprint

2025

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms

Navid Yazdanjue, Morteza Rakhshaninejad, Hossein Yazdanjouei, Mohammad Sadegh Khorshidi, Mikko S. Niemela, Fang Chen, Amir H. Gandomi

arXiv preprint

2025

CM-Diff: A Single Generative Network for Bidirectional Cross-Modality Translation Diffusion Model Between Infrared and Visible Images

Bin Hu, Chenqiang Gao, Shurui Liu, Junjie Guo, Fang Chen, Fangcen Liu, Junwei Han

arXiv preprint

2025

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen

Catarina Moreira, Anna Palatkina, Dacia Braca, Dylan M. Walsh, Peter J. Leihn, Fang Chen, Nina C. Hubig

arXiv preprint

2025

Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?

Bo Wang, Yiqiao Li, Jianlong Zhou, Fang Chen

arXiv preprint

2025

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading

Zhe Wang, Yuhua Ru, Aladine Chetouani, Tina Shiang, Fang Chen, Fabian Bauer, Liping Zhang, Didier Hans, Rachid Jennane, William Ewing Palmer, Mohamed Jarraya, Yung Hsin Chen

arXiv preprint

2025

Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction

Wentao Cui, Shoubo Li, Chen Fang, Qingqing Long, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou

arXiv preprint

2025

Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great Again

Zhe Wang, Yuhua Ru, Fabian Bauer, Aladine Chetouani, Fang Chen, Liping Zhang, Didier Hans, Rachid Jennane, Mohamed Jarraya, Yung Hsin Chen

arXiv preprint

2025

Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook

Xin Yang, Chen Fang, Yunlai Liao, Jian Yang, Konstantinos Gryllias, Dimitrios Chronopoulos

arXiv preprint

2025

COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets

Lingyu Chen, Yawen Zeng, Yue Wang, Peng Wan, Guo-chen Ning, Hongen Liao, Daoqiang Zhang, Fang Chen

arXiv preprint

2025

E-LENS: User Requirements-Oriented AI Ethics Assurance

Jianlong Zhou, Fang Chen

arXiv preprint

DOI

2025

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Fang Chen, Jianlong Zhou

arXiv preprint

2025

Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter

Jianhui Zhang, Sheng Cheng, Qirui Sun, Jia Liu, Wang Luyang, Chaoyu Feng, Chen Fang, Lei Lei, Jue Wang, Shuaicheng Liu

arXiv preprint

2025

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection

Rongcheng Wu, Hao Zhu, Shiying Zhang, Mingzhe Wang, Zhidong Li, Hui Li, Jianlong Zhou, Jiangtao Cui, Fang Chen, Pingyang Sun, Qiyu Liao, Ye Lin

arXiv preprint

2025

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion

Fang Chen, Weifeng Zhang, Xingyu Ai, BingXuan Li, An Li, Qiegen Liu

arXiv preprint

2025

A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management

Willy Sucipto, Jianlong Zhou, Ray Seung Min Kwon, Fang Chen

arXiv preprint

2025

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks

Hassan Gharoun, Mohammad Sadegh Khorshidi, Kasra Ranjbarigderi, Fang Chen, Amir H. Gandomi

arXiv preprint

2025

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability

Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

arXiv preprint

2024

Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information

Zhe Wang, Yung Hsin Chen, Aladine Chetouani, Fabian Bauer, Yuhua Ru, Fang Chen, Liping Zhang, Rachid Jennane, Mohamed Jarraya

arXiv preprint

2024

LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts

Zhuhao Wang, Yihua Sun, Zihan Li, Xuan Yang, Fang Chen, Hongen Liao

arXiv preprint

2024

ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs

Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang

arXiv preprint

2024

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen

arXiv preprint

2024

Towards Graph Prompt Learning: A Survey and Beyond

Qingqing Long, Yuchen Yan, Peiyan Zhang, Chen Fang, Wentao Cui, Zhiyuan Ning, Meng Xiao, Ning Cao, Xiao Luo, Lingjun Xu, Shiyue Jiang, Zheng Fang, Chong Chen, Xian-Sheng Hua, Yuanchun Zhou

arXiv preprint

2024

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou

arXiv preprint

2024

IVGF: The Fusion-Guided Infrared and Visible General Framework

Fangcen Liu, Chenqiang Gao, Fang Chen, Pengcheng Li, Junjie Guo, Deyu Meng

arXiv preprint

2024

AI Ethics in Smart Homes: Progress, User Requirements and Challenges

Liqian You, Jianlong Zhou, Zhiwei Li, Fang Chen

arXiv preprint

2024

Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification

Hassan Gharoun, Mohammad Sadegh Khorshidi, Fang Chen, Amir H. Gandomi

arXiv preprint

2024

RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction

Xingyu Ai, Bin Huang, Fang Chen, Liu Shi, Binxuan Li, Shaoyu Wang, Qiegen Liu

arXiv preprint

2024

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen

arXiv preprint

2024

Interpretable Robotic Manipulation from Language

Boyuan Zheng, Jianlong Zhou, Fang Chen

arXiv preprint

2024

Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods

Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen

arXiv preprint

2024

Attribution for Enhanced Explanation with Transferable Adversarial eXploration

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen

arXiv preprint

2024

Navigating Towards Fairness with Data Selection

Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou

arXiv preprint

2023

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks

Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, U. Rajendra Acharya, Fang Chen, Jianlong Zhou

arXiv preprint

2023

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis

Zhe Wang, Aladine Chetouani, Yung Hsin Chen, Yuhua Ru, Fang Chen, Mohamed Jarraya, Fabian Bauer, Liping Zhang, Didier Hans, Rachid Jennane

arXiv preprint

2023

SRCNet: Seminal Representation Collaborative Network for Marine Oil Spill Segmentation

Fang Chen, Heiko Balzter, Peng Ren, Huiyu Zhou

arXiv preprint

2023

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks

Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen

arXiv preprint

DOI

2023

Explaining Imitation Learning through Frames

Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen

arXiv preprint

2023

Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection

Zhe Wang, Aladine Chetouani, Mohamed Jarraya, Yung Hsin Chen, Yuhua Ru, Fang Chen, Fabian Bauer, Liping Zhang, Didier Hans, Rachid Jennane

arXiv preprint

2023

Ethical ChatGPT: Concerns, Challenges, and Commandments

Jianlong Zhou, Heimo Müller, Andreas Holzinger, Fang Chen

arXiv preprint

DOI

2023

SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search

Sharath Nittur Sridhar, Maciej Szankin, Fang Chen, Sairam Sundaresan, Anthony Sarah

arXiv preprint

2023

Genetic Imitation Learning by Reward Extrapolation

Boyuan Zheng, Jianlong Zhou, Fang Chen

arXiv preprint

2022

DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation

Fang Chen, Heiko Balzter, Feixiang Zhou, Peng Ren, Huiyu Zhou

arXiv preprint

DOI

2022

Self-Attentive Pooling for Efficient Deep Learning

Fang Chen, Gourav Datta, Souvik Kundu, Peter Beerel

arXiv preprint

2022

A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics

Yiqiao Li, Jianlong Zhou, Sunny Verma, Fang Chen

arXiv preprint

2022

GANExplainer: GAN-based Graph Neural Networks Explainer

Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Fang Chen

arXiv preprint

2022

De-biased Representation Learning for Fairness with Unreliable Labels

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

arXiv preprint

2022

Domain Generalization by Learning and Removing Domain-specific Features

Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen

arXiv preprint

2022

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour

Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou

arXiv preprint

2021

Oil Spill SAR Image Segmentation via Probability Distribution Modelling

Fang Chen, Aihua Zhang, Heiko Balzter, Peng Ren, Huiyu Zhou

arXiv preprint

2021

Local Patch Network with Global Attention for Infrared Small Target Detection

Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo

arXiv preprint

DOI

2021

Bias-Tolerant Fair Classification

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

arXiv preprint

2021

Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making

Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen

arXiv preprint

2021

Imitation Learning: Progress, Taxonomies and Challenges

Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor Tsang, Fang Chen

arXiv preprint

2021

Variational Co-embedding Learning for Attributed Network Clustering

Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu

arXiv preprint

2021

Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds

Fangcen Liu, Chenqiang Gao, Fang Chen, Deyu Meng, Wangmeng Zuo, Xinbo Gao

arXiv preprint

2020

Structured Context Enhancement Network for Mouse Pose Estimation

Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou

arXiv preprint

2020

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis

Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu

arXiv preprint

2020

Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from A State in Australia

Jianlong Zhou, Shuiqiao Yang, Chun Xiao, Fang Chen

arXiv preprint

DOI

2020

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia

Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen

arXiv preprint

2019

Machine Learning in/for Blockchain: Future and Challenges

Fang Chen, Hong Wan, Hua Cai, Guang Cheng

arXiv preprint

精选作品

期刊论文

DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data

Neural Federated Learning for Livestock Growth Prediction

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining

Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations

Revealing Multimodal Causality with Large Language Models

A Survey on Enhancing Causal Reasoning Ability of Large Language Models

Causal Learning for Trustworthy Recommender Systems: A Survey

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation

基于序列注意力和局部相位引导的骨超声图像分割网络

面向雷达图像分类模型的两步式对抗样本检测技术

场景化智慧数据驱动的情报研究模式：概念、技术框架和实验验证

基于深度学习的图像色彩一致性算法设计

基于多损失混合对抗函数和启发式投影算法的逼真医学图像增强方法

基于深度学习多尺度特征的胎儿头围测量方法

基于深度学习的场景文字检测与识别算法研究

一种基于深度学习的自适应医学超声图像去斑方法

基于卷积神经网络的街景门牌号码识别

预印本

SPRINT: Single-Step Generative Recommendation via Average Probability Velocity

Astra: a generalizable report generation foundation model for 3D computed tomography

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation

ArthroCut: Autonomous Policy Learning for Robotic Bone Resection in Knee Arthroplasty

MARCUS: Missing-Aware Region Representation with Contextual Urban Signals for Rent Prediction

AudioGuard: Toward Comprehensive Audio Safety Protection Across Diverse Threat Models

Self-Supervised Mask-Aware Transformers for Fault-Tolerant FBG Force Sensing in Minimally Invasive Surgical Robotics

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model

Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey

SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation

MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution

Native Intelligence Emerges from Large-Scale Clinical Practice: A Retinal Foundation Model with Deployment Efficiency

Uncertainty-Aware Post-Hoc Calibration: Mitigating Confidently Incorrect Predictions Beyond Calibration Metrics

PersonaLive! Expressive Portrait Image Animation for Live Streaming

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms

CM-Diff: A Single Generative Network for Bidirectional Cross-Modality Translation Diffusion Model Between Infrared and Visible Images

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen

Can LLM Assist in the Evaluation of the Quality of Machine Learning Explanations?

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading

Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction

Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great Again

Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook

COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets

E-LENS: User Requirements-Oriented AI Ethics Assurance

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability

Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion

A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability

Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information

LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts

ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing

Towards Graph Prompt Learning: A Survey and Beyond

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

IVGF: The Fusion-Guided Infrared and Visible General Framework

AI Ethics in Smart Homes: Progress, User Requirements and Challenges

Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification

RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack

Interpretable Robotic Manipulation from Language

Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods

Attribution for Enhanced Explanation with Transferable Adversarial eXploration

Navigating Towards Fairness with Data Selection

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis

SRCNet: Seminal Representation Collaborative Network for Marine Oil Spill Segmentation

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks

Explaining Imitation Learning through Frames

Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection

Ethical ChatGPT: Concerns, Challenges, and Commandments

SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search

Genetic Imitation Learning by Reward Extrapolation

DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation

Self-Attentive Pooling for Efficient Deep Learning