Ziqian Lin - RankMe

30 papers A* 8A 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design. AAAI 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
2026	J	`jnl`	Modeling carbon price dynamics driven by external factors: A hybrid framework combining Mamba state-space model and transformer. Eng. Appl. Artif. Intell. Zhenkai Qin, Baozhong Wei, Qining Luo, Dongze Wu, Weiqi Qin, Xiaochuan Yu, Ziqian Lin
2026	A*	`conf`	RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design. AAAI 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
2026	J	`jnl`	Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens. CoRR Wei-Lin Chen, Liqian Peng, Tian Tan, Chao Zhao, Blake JianHang Chen, Ziqian Lin, Alec Go, Yu Meng
2026	J	`jnl`	Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback. CoRR Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2026	J	`jnl`	Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback. Trans. Mach. Learn. Res. Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2025	J	`jnl`	CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting. Frontiers Artif. Intell. Zhenkai Qin, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Jingxuan Jiang
2025	J	`jnl`	DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design. CoRR Yanting Li, Jiyue Jiang, Zikang Wang, Ziqian Lin, Dongchen He, Yuheng Shan, Yanruisheng Shao, Jiayi Li, Xiangyu Shi, Jiuming Wang, Yanyu Chen, Yimin Fan, Han Li, Yu Li
2025	A*	`conf`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. ICML 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
2025	J	`jnl`	FedDSHAR: A dual-strategy federated learning approach for human activity recognition amid noise label user. Future Gener. Comput. Syst. Ziqian Lin, Xuefeng Jiang, Kun Zhang, Chongjun Fan, Yaya Liu
2025	J	`jnl`	In-Context Learning with Hypothesis-Class Guidance. CoRR Ziqian Lin, Shubham Kumar Bharti, Kangwook Lee
2025	J	`jnl`	ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning. CoRR 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
2025	J	`jnl`	Task Vectors in In-Context Learning: Emergence, Formation, and Benefit. CoRR Liu Yang, Ziqian Lin, Kangwook Lee, Dimitris Papailiopoulos, Robert D. Nowak
2025	J	`jnl`	Testing sufficiency for transfer learning. Comput. Stat. Data Anal. Ziqian Lin, Yuan Gao, Feifei Wang, Hansheng Wang
2024	A*	`conf`	Dual Operating Modes of In-Context Learning. ICML Ziqian Lin, Kangwook Lee
2024	J	`jnl`	Dual Operating Modes of In-Context Learning. CoRR Ziqian Lin, Kangwook Lee
2024	J	`jnl`	Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. IEEE Trans. Intell. Transp. Syst. Rui Zhou, Ziqian Lin, Guoqing Zhang, Helai Huang, Hanchu Zhou, Jiguang Chen
2024	J	`jnl`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	A	`conf`	Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2024	J	`jnl`	RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models. Bioinform. Han Huang, Ziqian Lin, Dongchen He, Liang Hong, Yu Li
2023	J	`jnl`	Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2022	J	`jnl`	Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
2022	J	`jnl`	LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	A*	`conf`	LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu
2022	—	`conf`	Testing Scenarios Construction for Connected and Automated Vehicles Based on Dynamic Trajectory Clustering Method. ITSC Rui Zhou, Ziqian Lin, Xiangzhi Huang, Jingfeng Peng, Helai Huang
2021	A*	`conf`	MOOD: Multi-Level Out-of-Distribution Detection. CVPR Ziqian Lin, Sreya Dutta Roy, Yixuan Li
2021	J	`jnl`	MOOD: Multi-level Out-of-distribution Detection. CoRR Ziqian Lin, Sreya Dutta Roy, Yixuan Li
2020	A*	`conf`	A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. IJCAI Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
2019	A*	`conf`	DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. AAAI Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin