Ruizhe Shi

According to our database, Ruizhe Shi authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NFT Games: an Empirical Look into the Play-to-Earn Model.

Yixiao Gao, Fei Li, Ruizhe Shi, Ruizhi Cheng, Jean Zhang, Bo Han, Songqing Chen

CoRR, February, 2026

2025

Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO.

Ruizhe Shi, Minhak Song, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S. Du

CoRR, May, 2025

Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management.

Ruizhe Shi, Ruizhi Cheng, Yuqi Fu, Bo Han, Yue Cheng, Songqing Chen

Proceedings of the ACM on Web Conference 2025, 2025

The Decentralization Dilemma: Performance Trade-Offs in IPFS and Breakpoints.

Ruizhe Shi, Yuqi Fu, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen

Proceedings of the 2025 ACM Internet Measurement Conference, 2025

The Crucial Role of Samplers in Online Direct Preference Optimization.

Ruizhe Shi, Runlong Zhou, Simon Shaolei Du

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions.

Yuqi Fu, Ruizhe Shi, Haoliang Wang, Songqing Chen, Yue Cheng

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

A Closer Look into IPFS: Accessibility, Content, and Performance.

Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Decoding-Time Language Model Alignment with Multiple Objectives.

Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hanna Hajishirzi, Noah A. Smith, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Transformers in Solving POMDPs.

Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.

Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu

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.

Ruizhe Shi, Zhe Zhang, Xiaolan Qiu, Chibiao Ding

IEEE Trans. Geosci. Remote. Sens., 2023

H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation.

Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu

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.

Ruizhe Shi, Lijing Du

Sensors, 2022

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

Qing An, Shisong Wu, Ruizhe Shi, Haojun Wang, Jun Yu, Zhifeng Li

Sensors, 2022

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

Qing An, Xijiang Chen, Junqian Zhang, Ruizhe Shi, Yuanjun Yang, Wei Huang

Sensors, 2022

2021

A Position-First 3D Inversion Method for Tomosar.

Ruizhe Shi, Zekun Jiao, Xiaolan Qiu, Chibiao Ding

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021