Ruizhe Shi

Orcid: 0000-0003-1679-8144

According to our database1, Ruizhe Shi authored at least 14 papers between 2021 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO.
CoRR, May, 2025

Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management.
Proceedings of the ACM on Web Conference 2025, 2025

The Crucial Role of Samplers in Online Direct Preference Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
A Closer Look into IPFS: Accessibility, Content, and Performance.
Proc. ACM Meas. Anal. Comput. Syst., 2024

ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Decoding-Time Language Model Alignment with Multiple Objectives.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Transformers in Solving POMDPs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Novel Gradient Descent Least-Squares (GDLSs) Algorithm for Efficient Gridless Line Spectrum Estimation With Applications in Tomographic SAR Imaging.
IEEE Trans. Geosci. Remote. Sens., 2023

H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network.
Sensors, 2022

Intelligent Detection of Hazardous Goods Vehicles and Determination of Risk Grade Based on Deep Learning.
Sensors, 2022

A Robust Fire Detection Model via Convolution Neural Networks for Intelligent Robot Vision Sensing.
Sensors, 2022

2021
A Position-First 3D Inversion Method for Tomosar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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