Lin, Ziqian

7 publications

ICML 2025 Everything Everywhere All at Once: LLMs Can In-Context Learn Multiple Tasks in Superposition Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos

ICML 2024 Dual Operating Modes of In-Context Learning Ziqian Lin, Kangwook Lee

NeurIPSW 2023 Coded Prompts for Large Language Models Ziqian Lin, Yicong Chen, Yuchen Zeng, Kangwook Lee

NeurIPS 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 Papailiopoulos, Kangwook Lee

CVPR 2021 MOOD: Multi-Level Out-of-Distribution Detection Ziqian Lin, Sreya Dutta Roy, Yixuan Li

IJCAI 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

AAAI 2019 DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin