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2020 – today
- 2025
[j4]Ziqian Lin, Yuan Gao, Feifei Wang, Hansheng Wang:
Testing sufficiency for transfer learning. Comput. Stat. Data Anal. 203: 108075 (2025)- 2024
- [j3]Rui Zhou
, Ziqian Lin, Guoqing Zhang, Helai Huang, Hanchu Zhou, Jiguang Chen:
Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. IEEE Trans. Intell. Transp. Syst. 25(10): 13560-13572 (2024) - [c7]Ziqian Lin, Kangwook Lee:
Dual Operating Modes of In-Context Learning. ICML 2024 - [c6]Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM 2024: 424-433 - [i4]Ziqian Lin, Kangwook Lee:
Dual Operating Modes of In-Context Learning. CoRR abs/2402.18819 (2024) - 2023
- [i3]Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR abs/2310.19251 (2023) - 2022
- [j2]Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu:
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. 29(8): 932-941 (2022) - [j1]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [c5]Rui Zhou, Ziqian Lin, Xiangzhi Huang, Jingfeng Peng, Helai Huang:
Testing Scenarios Construction for Connected and Automated Vehicles Based on Dynamic Trajectory Clustering Method. ITSC 2022: 3304-3308 - [c4]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS 2022 - [i2]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR abs/2206.06565 (2022) - 2021
- [c3]Ziqian Lin, Sreya Dutta Roy, Yixuan Li:
MOOD: Multi-Level Out-of-Distribution Detection. CVPR 2021: 15313-15323 - [i1]Ziqian Lin, Sreya Dutta Roy, Yixuan Li:
MOOD: Multi-level Out-of-distribution Detection. CoRR abs/2104.14726 (2021) - 2020
- [c2]Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li:
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. IJCAI 2020: 1331-1337
2010 – 2019
- 2019
- [c1]Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. AAAI 2019: 1020-1027
Coauthor Index
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