Li Yang
Title
Cited by
Cited by
Year
Big Bird: Transformers for Longer Sequences.
M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ...
NeurIPS, 2020
2432020
Strongly interacting quantum gases in one-dimensional traps
L Yang, L Guan, H Pu
Physical Review A 91 (4), 043634, 2015
652015
ETC: Encoding long and structured inputs in transformers
J Ainslie, S Ontanon, C Alberti, V Cvicek, Z Fisher, P Pham, A Ravula, ...
arXiv preprint arXiv:2004.08483, 2020
50*2020
Bose-Fermi mapping and a multibranch spin-chain model for strongly interacting quantum gases in one dimension: Dynamics and collective excitations
L Yang, H Pu
Physical Review A 94 (3), 033614, 2016
232016
Deep learning-enhanced variational Monte Carlo method for quantum many-body physics
L Yang, Z Leng, G Yu, A Patel, WJ Hu, H Pu
Physical Review Research 2 (1), 012039, 2020
102020
One-body density matrix and momentum distribution of strongly interacting one-dimensional spinor quantum gases
L Yang, H Pu
Physical Review A 95 (5), 051602, 2017
102017
Learning to extract attribute value from product via question answering: A multi-task approach
Q Wang, L Yang, B Kanagal, S Sanghai, D Sivakumar, B Shu, Z Yu, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
72020
Scalable variational Monte Carlo with graph neural ansatz
L Yang, W Hu, L Li
arXiv preprint arXiv:2011.12453, 2020
32020
Dynamical Fermionization in One-Dimensional Spinor Quantum Gases
SS Alam, T Skaras, L Yang, H Pu
Physical Review Letters 127 (2), 023002, 2021
12021
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
A Kulkarni, B Kanagal, B Shu, J Elsas, L Yang, Q Wang, SK Sanghai, Z Yu
2022
Dynamical Fermionization and Scaling Behaviour for a Strongly Repulsive Spinor Gas after Quench
SS Alam, T Skaras, L Yang, H Pu
Bulletin of the American Physical Society 65, 2020
2020
Deep Convolutional Neural Networks for Quantum 1D Spin Chains
SS Alam, L Yang, W Hu, Y Ju, H Pu, A Patel
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2020 …, 2020
2020
Predicting relapse in patients with Triple Negative Breast Cancer (TNBC) using a deep-learning approach
G Yu, X Li, TF He, T Gruosso, D Zuo, M Souleimanova, VM Ramos, ...
Frontiers in physiology 11, 2020
2020
Exploring Deep Convolutional Network Architectures for Quantum 1D Spin Chains
SS Alam, L Yang, Y Ju, W Hu, H Pu, A Patel
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2020 …, 2020
2020
Dynamical Fermionization, Tan Contact, and Scalings for a Strongly Interacting Gas after quench
SS Alam, T Skaras, L Yang, H Pu
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2019 …, 2019
2019
Strongly Interacting One-Dimensional Spinor Quantum Gases
L Yang
Rice University, 2019
2019
Momentum distribution and Tan contact matrix for 1D spinor quantum gas in strong interacting limit
SS Alam, L Yang, H Pu
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2018 …, 2018
2018
One Body Density Matrix for Strongly Interacting Spinor Gases in 1D
L Yang, H Pu
APS March Meeting Abstracts 2017, P19. 003, 2017
2017
Multi-Branch Spin Chain Models for Strongly interacting Spinor Fermi and Bose gases in One-Dimension
L Yang, H Pu
APS March Meeting Abstracts 2016, S50. 002, 2016
2016
strongly interacting fermions and bosons with arbitrary spin in 1D
L Yang, L Guan, H Pu
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2015 …, 2015
2015
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Articles 1–20