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Feng Shi
Observed names:
Feng, Shi,
Shi Feng,
Shi, Feng
Institution:
George Washington University
Observed institutions:
Northeastern University,
George Washington University,
Jilin University,
Vanderbilt University,
University of Chicago,
Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University,
Northeastern University
show all 7
ORCID:
0009-0005-6478-2595
Observed ORCID:
0009-0005-6478-2595
OpenAlex ID:
A5100775017
Active Example Selection for In-Context Learning
2022
·
Yiming Zhang
, Shi Feng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
99
PDF
Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation
2022
·
Shi Feng
, Bing Wang
, et al.
·
Knowledge-Based Systems
·
66
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
2023
·
Xiaocui Yang
, Shi Feng
, et al.
·
41
PDF
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
2023
·
Chenglei Si
, Dan Friedman
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
9
PDF
Alternately Optimized Graph Neural Networks
2022
·
Han, Haoyu
, Liu, Xiaorui
, et al.
·
arXiv (Cornell University)
·
7
PDF
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
2023
·
Yongkang Liu
, Shi Feng
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
6
PDF
Machine Explanations and Human Understanding
2022
·
Chen, Chacha
, Feng, Shi
, et al.
·
arXiv (Cornell University)
·
6
PDF
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
2022
·
Qian Li
, Shafiq Joty
, et al.
·
6
PDF
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
2022
·
Liu, Yongkang
, Feng, Shi
, et al.
·
arXiv (Cornell University)
·
5
PDF
Human-Centered Evaluation of Explanations
2022
·
Jordan Boyd-Graber
, Samuel Carton
, et al.
·
5
PDF
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
2022
·
Yongkang Liu
, Shi Feng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
4
PDF
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer?
2025
·
Nishant Balepur
, Feng Gu
, et al.
·
Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
·
2
PDF
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
2024
·
Matthew Shu
, Nishant Balepur
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
2
PDF
Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response
2023
·
Liu, Yongkang
, Feng, Shi
, et al.
·
arXiv (Cornell University)
·
2
PDF
Automated segmentation of dental CBCT image with prior-guided sequential random forests: Automated segmentation of dental CBCT image
2020
·
Shi, Feng
, Tang, Zhen
, et al.
·
Carolina Digital Repository (University of North Carolina at Chapel Hill)
·
1
PDF
On the Use of Graph Transformation in the Formal Specification of Model Interpreters
2020
·
Aditya Agrawal
, Feng Shi
, et al.
·
TUGraz OPEN Library (Graz University of Technology)
·
1
Learn About Configuration Models in R With Data From the Florentine Family Dataset (1994)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
·
1
Learn About Latent Dirichlet Allocation in Python With Data From the News Articles Dataset (2016)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
·
1
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
2023
·
Si, Chenglei
, Friedman, Dan
, et al.
·
arXiv (Cornell University)
PDF
Learning Human-Compatible Representations for Case-Based Decision Support
2023
·
Liu, Han
, Tian, Yizhou
, et al.
·
arXiv (Cornell University)
PDF
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
2022
·
Liu, Yongkang
, Feng, Shi
, et al.
·
arXiv (Cornell University)
PDF
Learn About Text Pre-Processing in Python With Data From How ISIS Uses Twitter Dataset (2016)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
Learn About Term Frequency–Inverse Document Frequency in Text Analysis in Python With Data From How ISIS Uses Twitter Dataset (2016)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
Learn About Assortativity Coefficient in Python With Data From UK Faculty Dataset (2008)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
Learn About Dictionary-Based Sentiment Analysis in Python With Data From the Economic News Article Tone Dataset (2016)
2019
·
Feng Shi
·
SAGE Publications Ltd eBooks
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Works count:
29
Citation count:
264
H-index:
6
I10-index:
3
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