Jiayi Fu

According to our database1, Jiayi Fu authored at least 12 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Reward Shaping to Mitigate Reward Hacking in RLHF.
CoRR, February, 2025

Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FaceMe: Robust Blind Face Restoration with Personal Identification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Towards human-AI collaborative urban science research enabled by pre-trained large language models.
Urban Inform., 2024

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022
Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong-Hong Kong-Macao Greater Bay Area and the Contribution of Influencing Factors.
Remote. Sens., 2022

Improving Spoken Language Understanding with Cross-Modal Contrastive Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2019
A Dropout-Based Single Model Committee Approach for Active Learning in ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2016
A non-parametric approach for learning from crowds.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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