Ziqian Lin

According to our database, Ziqian Lin authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dual Operating Modes of In-Context Learning.

Ziqian Lin, Kangwook Lee

CoRR, 2024

Pre-trained Recommender Systems: A Causal Debiasing Perspective.

Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Pre-trained Recommender Systems: A Causal Debiasing Perspective.

Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang

CoRR, 2023

2022

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.

Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin

ACM Trans. Knowl. Discov. Data, 2022

Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.

Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu

J. Comput. Biol., 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.

Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee

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.

Rui Zhou, Ziqian Lin, Xiangzhi Huang, Jingfeng Peng, Helai Huang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

MOOD: Multi-Level Out-of-Distribution Detection.

Ziqian Lin, Sreya Dutta Roy, Yixuan Li

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.

Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li

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.

Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019