Li Yang
Cited by
Cited by
Big bird: Transformers for longer sequences
M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ...
Advances in neural information processing systems 33, 17283-17297, 2020
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
Strongly interacting quantum gases in one-dimensional traps
L Yang, L Guan, H Pu
Physical Review A 91 (4), 043634, 2015
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
Mave: A product dataset for multi-source attribute value extraction
L Yang, Q Wang, Z Yu, A Kulkarni, S Sanghai, B Shu, J Elsas, B Kanagal
Proceedings of the fifteenth ACM international conference on web search and …, 2022
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
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
Mixpave: Mix-prompt tuning for few-shot product attribute value extraction
L Yang, Q Wang, J Wang, X Quan, F Feng, Y Chen, M Khabsa, S Wang, ...
Findings of the Association for Computational Linguistics: ACL 2023, 9978-9991, 2023
Dynamical Fermionization in One-Dimensional Spinor Quantum Gases
SS Alam, T Skaras, L Yang, H Pu
Physical Review Letters 127 (2), 023002, 2021
Scalable variational Monte Carlo with graph neural ansatz
L Yang, W Hu, L Li
arXiv preprint arXiv:2011.12453, 2020
Smartave: Structured multimodal transformer for product attribute value extraction
Q Wang, L Yang, J Wang, J Krishnan, B Dai, S Wang, Z Xu, M Khabsa, ...
Findings of the Association for Computational Linguistics: EMNLP 2022, 263-276, 2022
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
Big bird: Transformers for longer sequences. arXiv 2020
M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ...
arXiv preprint arXiv:2007.14062, 2007
Learning to generate question by asking question: A primal-dual approach with uncommon word generation
Q Wang, L Yang, X Quan, F Feng, D Liu, Z Xu, S Wang, H Ma
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
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, 511071, 2020
Generalized Bose–Fermi mapping and strong coupling ansatz wavefunction for one dimensional strongly interacting spinor quantum gases
L Yang, SS Alam, H Pu
Journal of Physics A: Mathematical and Theoretical 55 (46), 464005, 2022
Preference Elicitation for Music Recommendations
O Meshi, J Feldman, L Yang, B Scheetz, Y Cai, M Bateni, C Salisbury, ...
ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023
Strongly Interacting One-Dimensional Spinor Quantum Gases
L Yang
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
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
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