Sen Zhang

Orcid: 0000-0002-8065-5095

Affiliations:
  • University of Sydney, Australia


According to our database1, Sen Zhang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Mitigating Reward Hacking via Information-Theoretic Reward Modeling.
CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.
CoRR, 2024

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Theoretical Understandings of Self-Consuming Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Are Large Language Models Really Robust to Word-Level Perturbations?
CoRR, 2023

Image Captions are Natural Prompts for Text-to-Image Models.
CoRR, 2023

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation.
CoRR, 2023

Event-based Simultaneous Localization and Mapping: A Comprehensive Survey.
CoRR, 2023

2022
Criteria Comparative Learning for Real-Scene Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

Information-Theoretic Odometry Learning.
Int. J. Comput. Vis., 2022

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer.
ACM Trans. Intell. Syst. Technol., 2021

2019
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019


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