Visionary ProSpect

Visionary ProSpect encompasses a broad range of research exploring the application and advancement of AI across diverse fields. Current efforts focus on improving AI model efficiency (e.g., through data-driven pixel control and optimized quantum circuit synthesis), enhancing data privacy and security (particularly in generative AI and quantum machine learning), and developing more robust and reliable AI evaluation methods. This research is significant for its potential to improve various applications, from autonomous driving and industrial automation to personalized education and financial modeling, while simultaneously addressing critical ethical and practical challenges.

Papers

September 3, 2023

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
Timely Survey Visionary ProSpect Delivery Problem Time Prediction Route Choice Route Prediction

August 9, 2023

Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects
Soheyla Amirian, Luke A. Carlson, Matthew F. Gong, Ines Lohse, Kurt R. Weiss, Johannes F. Plate, Ahmad P. Tafti
Artificial Intelligence Technical Challenge High Explainability Emerging Opportunity Explainable Artificial Intelligence Visionary ProSpect AI Practitioner

August 7, 2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers
Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu
Deep Neural Network Transformer Megatron Decepticons Federated Learning Heterogeneous Federated Learning Visionary ProSpect Representational Similarity

August 4, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao
Timely Survey Comprehensive Taxonomy Temporal Information Much Progress Temporal Knowledge Graph Unstructured Data Visionary ProSpect Structured Information Temporal Knowledge Graph Completion

June 16, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
Self Supervised Learning Self Supervised Time Series Supervised Learning Comprehensive Taxonomy Time Series Data Much Progress Time Series Analysis Visionary ProSpect

June 14, 2023

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects
Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
Data Set Visionary ProSpect Voice Based Voice Activated Feasible Solution Voice Interaction

May 25, 2023

ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu
Diffusion Model Generative Model Image Generation Text to Image Diffusion Model Visionary ProSpect Text to Text Personalized Image Generation

May 23, 2023

Cross-source Point Cloud Registration: Challenges, Progress and Prospects
Xiaoshui Huang, Guofeng Mei, Jian Zhang
Point Cloud Technical Challenge Much Progress Visionary ProSpect 3D Sensor Cross Source Point Cloud

May 17, 2023

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
Reinforcement Learning Artificial Intelligence Technical Challenge Financial Application Multi Agent Reinforcement Learning NCD Method Visionary ProSpect Human Machine Interaction

May 12, 2023

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
Leo Pauly, Wassim Rharbaoui, Carl Shneider, Arunkumar Rathinam, Vincent Gaudilliere, Djamila Aouada
Timely Survey Computer Vision Fundamental Limitation Monocular Camera Visionary ProSpect Computer Vision Application Pose Optimization Spacecraft Pose Estimation Vision Based Autonomous System

May 5, 2023

Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan, Tianqi Pang, Chenyou Fan, Song Yu
Artificial Intelligence Technical Challenge Emerging Opportunity Generated Content Visionary ProSpect Teacher Student Large AI Model

May 4, 2023

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua
Timely Survey NCD Method Conversational AI Related Problem Visionary ProSpect Conversation Dynamic Proactive Dialogue

April 8, 2023

Shepherding Heterogeneous Flocks: Overview and Prospect
Anna Fujioka, Masaki Ogura, Naoki Wakamiya
Visionary ProSpect Electric SHEEP Feather Flock Heterogeneous Swarm Shepherding Problem

February 9, 2023

3D reconstruction from spherical images: A review of techniques, applications, and prospects
San Jiang, Yaxin Li, Duojie Weng, Kan You, Wu Chen
Financial Application 3D Reconstruction Barzilai Borwein Technique Visionary ProSpect Aerial Photography Spherical Camera Modern Photogrammetric System Spherical Image

February 3, 2023

Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li, Chandra Thapa, Lawrence Ong, Yifeng Zheng, Hua Ma, Seyit A. Camtepe, Anmin Fu, Yansong Gao
Machine Learning Machine Learning Model Vertical Federated Learning Visionary ProSpect Privacy Analysis Threat Word Different Datasets Topic Taxonomy

December 31, 2022

A Survey on Protein Representation Learning: Retrospect and Prospect
Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li
Timely Survey Protein Sequence Visionary ProSpect Amino Acid Protein Representation Learning Sequence Data

October 21, 2022

Bootstrapping NLP tools across low-resourced African languages: an overview and prospects
C. Maria Keet
Language Generation African Language Visionary ProSpect Linguistic Diversity

October 14, 2022

Machine Learning in Transaction Monitoring: The Prospect of xAI
Julie Gerlings, Ioanna Constantiou
Machine Learning Machine Learning Model High Explainability Fraud Detection Visionary ProSpect eXplainable Artificial Intelligence

August 29, 2022

ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Yutian Pang, Zehua Guo, Binnan Zhuang
Visionary ProSpect Behavior Prediction Interaction Modeling Conditional Attention

August 15, 2022

Prospects of federated machine learning in fluid dynamics
Omer San, Suraj Pawar, Adil Rasheed
Machine Learning Fluid Dynamic Visionary ProSpect Community Structure Spatio tempOral Physic Based Model

Visionary ProSpect

Papers

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects

Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects

ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models

Cross-source Point Cloud Registration: Challenges, Progress and Prospects

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects

Shepherding Heterogeneous Flocks: Overview and Prospect

3D reconstruction from spherical images: A review of techniques, applications, and prospects

Vertical Federated Learning: Taxonomies, Threats, and Prospects

A Survey on Protein Representation Learning: Retrospect and Prospect

Bootstrapping NLP tools across low-resourced African languages: an overview and prospects

Machine Learning in Transaction Monitoring: The Prospect of xAI

ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction

Prospects of federated machine learning in fluid dynamics