Shuheng Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Named Entity Recognition

Top Venues

Publications

Shuheng Liu, Matteo Fadel, Qiongyi He, Marcus Huber, Giuseppe Vitagliano
Bounding entanglement dimensionality from the covariance matrix. Quantum 8 (2024)
Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje Karlsson, Peiqin Lin, Nikola Ljubesic, Lester James Miranda, Barbara Plank, Arij Riabi, Yuval Pinter
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. NAACL-HLT (2024)
Yago Bea, Raúl Jiménez, David Mateos, Shuheng Liu, Pavlos Protopapas, Pedro Tarancón-Álvarez, Pablo Tejerina-Pérez
Gravitational Duals from Equations of State. CoRR (2024)
Shuheng Liu, Xiyue Huang, Pavlos Protopapas
Residual-based error bound for physics-informed neural networks. CoRR (2023)
Shuheng Liu, Xiyue Huang, Pavlos Protopapas
Residual-based error bound for physics-informed neural networks. UAI (2023)
Shuheng Liu, Alan Ritter
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL (1) (2023)
Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubesic, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. CoRR (2023)
Jingjing Fu, Shuheng Liu, Siqi Du, Siqiao Ruan, Xuliang Guo, Weiwei Pan, Abhishek Sharma, Stefan Konigorski
Multimodal N-of-1 trials: A Novel Personalized Healthcare Design. CoRR (2023)
Shuheng Liu, Xiyue Huang, Pavlos Protopapas
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems. CoRR (2022)
Shuheng Liu, Alan Ritter
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? CoRR (2022)
Feiyu Chen, David Sondak, Pavlos Protopapas, Marios Mattheakis, Shuheng Liu, Devansh Agarwal, Marco Di Giovanni
NeuroDiffEq: A Python package for solving differential equations with neural networks. J. Open Source Softw. 5 (46) (2020)
Min Zhang, Shuheng Liu, Fangyun Yang, Ji Liu
Classification of Canker on Small Datasets Using Improved Deep Convolutional Generative Adversarial Networks. IEEE Access 7 (2019)