Xiangyu Yin

15 papers A* 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning.
CoRR
Xiangyu Yin, Ming Du, Junjing Deng, Zhi Yang, Yimo Han, Yi Jiang
2026 J jnl
Domain-derived knowledge enabled machine learning and functional characterization of cancer-associated RNA methylation sites.
BMC Bioinform.
Zeyu Chen, Yuqi Liu, Jia Meng, Jiaming Huang, Xuan Wang, Xiangyu Yin, Wei Zhong, Gang Tu, Yongshuang Xiao
2026 J jnl
ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning.
CoRR
Xiangyu Yin, Yi Qi, Chih-Hong Cheng
2026 J jnl
SE-CNN integrated with transfer learning: Enhancing myoelectric pattern recognition amid electrode shift and damage interferences.
Biomed. Signal Process. Control.
Yue Zhang, Zhenchen Bao, Rixi Huang, Xiangyu Yin, Bingwei He, Yuqing Liu
2025 J jnl
Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes.
CoRR
Robinson Umeike, Neil Getty, Xiangyu Yin, Yi Jiang
2025 J jnl
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment.
CoRR
Avinaash Manoharan, Xiangyu Yin, Domenik Helm, Chih-Hong Cheng
2025 J jnl
Digital twin-based approaches for agricultural machinery damage prediction and maintenance: A review.
J. Comput. Des. Eng.
Chunpeng Zhang, Jiaru Song, Xiangyu Yin, Jie Cai, Yuchen Liang, Jinzhong Lu
2025 J jnl
Intelligent optimization of e-commerce order packing using deep reinforcement learning with heuristic strategies.
Appl. Soft Comput.
Kaibo Liang, Man Shan, Huwei Liu, Jianglong Yang, Chenxi Gu, Xiangyu Yin
2025 J jnl
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy.
CoRR
Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Samuel S. Welborn, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Ralph Bulanadi, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Xiangyu Yin, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2025 J jnl
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy.
Mach. Learn. Sci. Technol.
Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2024 J jnl
PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents.
CoRR
Xiangyu Yin, Chuqiao Shi, Yimo Han, Yi Jiang
2021 — conf
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset.
ICANN (3)
Xiangyu Yin, Xiaohong Liu, Huan Liu
2021 A* conf
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL.
AAAI
Yanchao Sun, Xiangyu Yin, Furong Huang
2020 J jnl
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL.
CoRR
Yanchao Sun, Xiangyu Yin, Furong Huang
2019 — conf
Self-Calibrating Scene Understanding Based on Motifnet.
PRCV (2)
Xiangyu Yin