Ziqian Lin

Orcid: 0000-0002-6977-0156

According to our database1, Ziqian Lin authored at least 13 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Testing sufficiency for transfer learning.
Comput. Stat. Data Anal., 2025

2024
Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers.
IEEE Trans. Intell. Transp. Syst., October, 2024

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.
CoRR, 2024

Pre-trained Recommender Systems: A Causal Debiasing Perspective.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Dual Operating Modes of In-Context Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Pre-trained Recommender Systems: A Causal Debiasing Perspective.
CoRR, 2023

2022
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.
ACM Trans. Knowl. Discov. Data, 2022

Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.
J. Comput. Biol., 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Testing Scenarios Construction for Connected and Automated Vehicles Based on Dynamic Trajectory Clustering Method.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
MOOD: Multi-Level Out-of-Distribution Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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