Chenyou Fan

Orcid: 0000-0002-9835-8507

According to our database1, Chenyou Fan authored at least 44 papers between 2016 and 2023.

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Bibliography

2023
Emergent leader-follower relationship in networked multiagent systems.
Sci. China Inf. Sci., December, 2023

Self-Supervised Single-Line LiDAR Depth Completion.
IEEE Robotics Autom. Lett., November, 2023

Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Deep Depth Completion From Extremely Sparse Data: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA.
CoRR, 2023

Low-Parameter Federated Learning with Large Language Models.
CoRR, 2023

Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects.
CoRR, 2023

Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation.
CoRR, 2023

Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Boosting LightWeight Depth Estimation via Knowledge Distillation.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Carbon Price Forecasting with Quantile Regression and Feature Selection.
Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

Pre-trained Financial Model for Price Movement Forecasting.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-Tuning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Machine Learning Model Trading with Information Asymmetry.
Proceedings of the IEEE International Conference on Communications, 2023

A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback.
Proceedings of the Web Information Systems and Applications, 2023

2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer.
CoRR, 2022

Data-free Dense Depth Distillation.
CoRR, 2022

Deep Depth Completion: A Survey.
CoRR, 2022

Private Semi-Supervised Federated Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media.
PeerJ Comput. Sci., 2021

AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth.
CoRR, 2021

Boosting Light-Weight Depth Estimation Via Knowledge Distillation.
CoRR, 2021

Federated Few-Shot Learning with Adversarial Learning.
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

Few-Shot Multi-Agent Perception.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Federated Generative Adversarial Learning.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Projection Robust Wasserstein Distance and Riemannian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient.
Proceedings of the 2020 American Control Conference, 2020

2019
Multi-Horizon Time Series Forecasting with Temporal Attention Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

EgoVQA - An Egocentric Video Question Answering Benchmark Dataset.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deepdiary: Lifelogging image captioning and summarization.
J. Vis. Commun. Image Represent., 2018

Improved Oracle Complexity for Stochastic Compositional Variance Reduced Gradient.
CoRR, 2018

Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Forecasting Hands and Objects in Future Frames.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Forecasting Hand and Object Locations in Future Frames.
CoRR, 2017

Identifying First-Person Camera Wearers in Third-Person Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Temporal attention filters for human activity recognition in videos.
CoRR, 2016

DeepDiary: Automatic Caption Generation for Lifelogging Image Streams.
CoRR, 2016

DeepDiary: Automatically Captioning Lifelogging Image Streams.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


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