Yunkai Zhang

Orcid: 0000-0002-7203-2883

Affiliations:
  • University of California, Berkeley, CA, USA
  • University of California, Santa Barbara, CA, USA


According to our database1, Yunkai Zhang authored at least 12 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers.
IEEE Trans. Parallel Distributed Syst., May, 2026

When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks.
CoRR, April, 2026

Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models.
CoRR, April, 2026

Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding.
Proceedings of the ACM Web Conference 2026, 2026

2025
Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-head Decoding.
CoRR, November, 2025

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
Resource Allocation with Service Affinity in Large-Scale Cloud Environments.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020
TabFact: A Large-scale Dataset for Table-based Fact Verification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
You May Not Need Order in Time Series Forecasting.
CoRR, 2019

2018
Exploration of Numerical Precision in Deep Neural Networks.
CoRR, 2018


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