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ORCIDYifan Nie
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2020 – today
- 2026
[c9]Shivani Upadhyay
, Messiah Ataey, Syed Shariyar Murtaza, Yifan Nie, Anirudh Aggarwal, Jimmy Lin:
Understanding Multi-Structured Documents via LLMs'. ECIR (4) 2026: 74-81- [i4]Yifan Nie, Qiaoxin Li:
Efficient temporal prediction of compressible flows in irregular domains using Fourier neural operators. CoRR abs/2601.01922 (2026) - 2025
- [c8]Syed Shariyar Murtaza, Yifan Nie, Elias Avan, Utkarsh Soni, Wanyu Liao, Adam Carnegie, Cyril John Mathias, Junlin Jiang, Eugene Wen:
Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution. NAACL (Industry Track) 2025: 598-606 - [i3]Shivani Upadhyay, Messiah Ataey, Shariyar Murtuza, Yifan Nie, Jimmy Lin:
On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools. CoRR abs/2506.05182 (2025) - [i2]Guancheng Zeng, Xueyi Chen, Jiawang Hu, Shaohua Qi, Yaxuan Mao, Zhantao Wang, Yifan Nie, Shuang Li, Qiuyang Feng, Pengxu Qiu, Yujia Wang, Wenqiang Han, Linyan Huang, Gang Li, Jingjing Mo, Haowen Hu:
Routine: A Structural Planning Framework for LLM Agent System in Enterprise. CoRR abs/2507.14447 (2025) - 2023
- [j5]Wei Yao, Aiming Wang, Yifan Nie, Zhengyan Lv, Shuai Nie, Congwei Huang, Zhenyu Liu:
Study on the Recognition of Coal Miners' Unsafe Behavior and Status in the Hoist Cage Based on Machine Vision. Sensors 23(21): 8794 (2023) - [i1]Vanessa Liao, Syed Shariyar Murtaza, Yifan Nie, Jimmy Lin:
Regex-augmented Domain Transfer Topic Classification based on a Pre-trained Language Model: An application in Financial Domain. CoRR abs/2305.18324 (2023)
2010 – 2019
- 2019
- [c7]Yifan Nie, Jian-Yun Nie:
Cross-Level Matching Model for Information Retrieval. AIRS 2019: 106-117 - [c6]Yifan Nie, Jiyang Zhang, Jian-Yun Nie:
Integrated Learning of Features and Ranking Function in Information Retrieval. ICTIR 2019: 67-74 - 2018
- [j4]Nan Jiang, Wenge Rong, Yifan Nie, Yikang Shen, Zhang Xiong:
Biological Event Trigger Identification with Noise Contrastive Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1549-1559 (2018) - [c5]Yifan Nie, Yanling Li, Jian-Yun Nie:
Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions. ICTIR 2018: 59-66 - [c4]Yifan Nie, Alessandro Sordoni, Jian-Yun Nie:
Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. SIGIR 2018: 985-988 - 2016
- [j3]Nan Jiang, Wenge Rong, Baolin Peng, Yifan Nie, Zhang Xiong:
Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching. IEICE Trans. Inf. Syst. 99-D(4): 927-935 (2016) - 2015
- [j2]Yifan Nie, Wenge Rong, Yiyuan Zhang, Yuanxin Ouyang, Zhang Xiong:
Embedding assisted prediction architecture for event trigger identification. J. Bioinform. Comput. Biol. 13(3): 1541001:1-1541001:19 (2015) - [c3]Nan Jiang, Wenge Rong, Baolin Peng, Yifan Nie, Zhang Xiong:
An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning. IJCNN 2015: 1-8 - 2014
- [j1]Wenge Rong, Yifan Nie, Yuanxin Ouyang, Baolin Peng, Zhang Xiong:
Auto-encoder based bagging architecture for sentiment analysis. J. Vis. Lang. Comput. 25(6): 840-849 (2014) - [c2]Wenge Rong, Yifan Nie, Yuanxin Ouyang, Baolin Peng, Zhang Xiong:
Auto-encoder Based Bagging Architecture for Sentiment Analysis. DMS 2014: 221-230 - [c1]Yifan Nie, Wenge Rong, Yikang Shen, Chao Li, Zhang Xiong:
Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study. ICONIP (1) 2014: 413-420
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