Ziqian Lin

According to our database, Ziqian Lin authored at least 25 papers between 2019 and 2026.

Collaborative distances:

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

2026

Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.

Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-Yong Sohn, Hyung Il Koo, Kangwook Lee

CoRR, March, 2026

Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens.

Wei-Lin Chen, Liqian Peng, Tian Tan, Chao Zhao, Blake JianHang Chen, Ziqian Lin, Alec Go, Yu Meng

CoRR, February, 2026

Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.

Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee

Trans. Mach. Learn. Res., 2026

Modeling carbon price dynamics driven by external factors: A hybrid framework combining Mamba state-space model and transformer.

Zhenkai Qin, Baozhong Wei, Qining Luo, Dongze Wu, Weiqi Qin, Xiaochuan Yu, Ziqian Lin

Eng. Appl. Artif. Intell., 2026

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design.

Yanting Li, Zikang Wang, Jiyue Jiang, Ziqian Lin, Dongchen He, Yuheng Shan, Yanruisheng Shao, Jiayi Li, Xiangyu Shi, Jiuming Wang, Yanyu Chen, Yimin Fan, Han Li, Yu Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design.

Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi, Chang Zhou, Ziqian Lin, Jiuming Wang, Dongchen He, Liang Hong, Qintong Li, Pengan Chen, Jiayang Chen, Xinrui Zhang, Jiao Yuan, Tianqing Zhang, Yu Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning.

Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee

CoRR, December, 2025

In-Context Learning with Hypothesis-Class Guidance.

Ziqian Lin, Shubham Kumar Bharti, Kangwook Lee

CoRR, February, 2025

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit.

Liu Yang, Ziqian Lin, Kangwook Lee, Dimitris Papailiopoulos, Robert D. Nowak

CoRR, January, 2025

CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting.

Zhenkai Qin, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Jingxuan Jiang

Frontiers Artif. Intell., 2025

FedDSHAR: A dual-strategy federated learning approach for human activity recognition amid noise label user.

Ziqian Lin, Xuefeng Jiang, Kun Zhang, Chongjun Fan, Yaya Liu

Future Gener. Comput. Syst., 2025

Testing sufficiency for transfer learning.

Ziqian Lin, Yuan Gao, Feifei Wang, Hansheng Wang

Comput. Stat. Data Anal., 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers.

Rui Zhou, Ziqian Lin, Guoqing Zhang, Helai Huang, Hanchu Zhou, Jiguang Chen

IEEE Trans. Intell. Transp. Syst., October, 2024

RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models.

Han Huang, Ziqian Lin, Dongchen He, Liang Hong, Yu Li

Bioinform., 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

Dual Operating Modes of In-Context Learning.

Ziqian Lin, Kangwook Lee

Proceedings of the Forty-first International Conference on Machine Learning, 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