Lei Zhou

Orcid: 0000-0002-0433-3991

Affiliations:
  • Shanghai Jiao Tong University, School of Oceanography, China
  • University of Maryland, Department of Atmospheric and Oceanic Sciences, Baltimore, MD, USA (PhD 2009)
  • School of Oceanography, Shanghai Jiao Tong University, Shanghai, China (former)


According to our database1, Lei Zhou authored at least 13 papers between 2023 and 2025.

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Bibliography

2025
DeepReport: An AI-assisted Idea Generation System for Scientific Research.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024
Analyzing Information Cascading in Large Scale Networks: A Fixed Point Approach.
IEEE Trans. Mob. Comput., October, 2024

Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning.
ACM Trans. Knowl. Discov. Data, May, 2024

Community Deception in Large Networks: Through the Lens of Laplacian Spectrum.
IEEE Trans. Comput. Soc. Syst., April, 2024

FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty.
ACM Trans. Sens. Networks, January, 2024

RWE: A Random Walk Based Graph Entropy for the Structural Complexity of Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Scientific and technological knowledge grows linearly over time.
CoRR, 2024

RepEval: Effective Text Evaluation with LLM Representation.
CoRR, 2024

Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RepEval: Effective Text Evaluation with LLM Representation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation.
CoRR, 2023

Revisiting Network Value: Sublinear Knowledge Law.
CoRR, 2023


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