Publications (Google Scholar Profile)

Under Review

N/A

Published

Dual Operating Modes of In-context Learning
Ziqian Lin, and Kangwook Lee. ICML 2024.

Coded Prompts for Large Language Models
Ziqian Lin, Bryce Chen, Yuchen Zeng, and Kangwook Lee. Neurips 2023 Workshop.

Pre-trained Recommender Systems: A Causal Debiasing Perspective
Ziqian Lin*, Hao Ding*, Nghia Hoang, Branislav Kveton, Anoop Deoras, and Hao Wang. WSDM 2024.

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 Papailiopoulos, and Kangwook Lee. NeurIPS 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, and Min Xu. Journal of Computational Biology 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, and Depeng Jin. TKDD 2021.

MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin*, Sreya Dutta Roy*, and Yixuan Li. CVPR 2021.

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
J Feng, Z Lin, T Xia, F Sun, D Guo, and Y Li. IJCAI 2020.

Deepstn+: Context-aware spatial-temporal neural network for crowd flow prediction in metropolis
Ziqian Lin*, Jie Feng*, Ziyang Lu, Yong Li, and Depeng Jin. AAAI 2019.