Jingling Li

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Keyulu XuMITPatvirtintas el. paštas mit.edu
Mozhi ZhangUniversity of MarylandPatvirtintas el. paštas cs.umd.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Stefanie JegelkaTUM and MITPatvirtintas el. paštas mit.edu
Ken-ichi KawarabayashiNational Institute of Informatics, The University of TokyoPatvirtintas el. paštas nii.ac.jp
Furong HuangAssociate Professor of Computer Science, University of MarylandPatvirtintas el. paštas umd.edu
Jiahao SuAmazon.com, Inc.Patvirtintas el. paštas terpmail.umd.edu
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIPatvirtintas el. paštas cs.umd.edu
Mucong DingDepartment of Computer Science, University of MarylandPatvirtintas el. paštas cs.umd.edu
Jimmy BaUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu
Xiaoyu LiuPhD Student, University of Maryland, College ParkPatvirtintas el. paštas umd.edu
Ching-An ChengMicrosoft ResearchPatvirtintas el. paštas microsoft.com
Adith SwaminathanNetflixPatvirtintas el. paštas netflix.com
Taiji SuzukiThe University of TokyoPatvirtintas el. paštas mist.i.u-tokyo.ac.jp
Yanchao SunApple, Inc.Patvirtintas el. paštas umd.edu
Kezhi KongUniversity of Maryland, College ParkPatvirtintas el. paštas cs.umd.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandPatvirtintas el. paštas cs.umd.edu
Chen ZhuMetaPatvirtintas el. paštas meta.com
samir khullerBarris Professor and Chair of Computer Science, Northwestern UniversityPatvirtintas el. paštas northwestern.edu
Pascal SturmfelsUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu

Stebėti

Jingling Li

University of Maryland, College Park

Patvirtintas el. paštas umd.edu - Pagrindinis puslapis

Artificial Intelligence Machine Learning Theoretical Computer Science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
How neural networks extrapolate: From feedforward to graph neural networks K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka ICLR 2021, 2021	376	2021
What Can Neural Networks Reason About? K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka ICLR 2020, 2020	307	2020
VQ-GNN: A universal framework to scale up graph neural networks using vector quantization M Ding, K Kong, J Li, C Zhu, J Dickerson, F Huang, T Goldstein Advances in Neural Information Processing Systems 34, 6733-6746, 2021	57*	2021
How Does a Neural Network’s Architecture Impact Its Robustness to Noisy Labels? J Li, M Zhang, K Xu, JP Dickerson, J Ba Advances in Neural Information Processing Systems (2021) 34, 9788-9803, 2020	39*	2020
Tensorized spectrum preserving compression for neural networks J Su, J Li, B Bhattacharjee, F Huang arXiv preprint arXiv:1805.10352, 2018	36*	2018
Understanding generalization in deep learning via tensor methods J Li, Y Sun, J Su, T Suzuki, F Huang International Conference on Artificial Intelligence and Statistics, 504-515, 2020	34	2020
Hindsight learning for mdps with exogenous inputs SR Sinclair, FV Frujeri, CA Cheng, L Marshall, HDO Barbalho, J Li, ... International Conference on Machine Learning, 31877-31914, 2023	20	2023
Select and permute: An improved online framework for scheduling to minimize weighted completion time S Khuller, J Li, P Sturmfels, K Sun, P Venkat Theoretical Computer Science 795, 420-431, 2019	20	2019
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework J Li, Z Tang, X Liu, P Spirtes, K Zhang, L Leqi, Y Liu arXiv preprint arXiv:2403.08743, 2024	13	2024
Compact neural architecture designs by tensor representations J Su, J Li, X Liu, T Ranadive, C Coley, TC Tuan, F Huang Frontiers in artificial intelligence 5, 728761, 2022	7	2022
Csrec: Rethinking sequential recommendation from a causal perspective X Liu, J Yuan, Y Zhou, J Li, F Huang, W Ai arXiv preprint arXiv:2409.05872, 2024		2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Y Fan, J Li, A Swaminathan, A Modi, CA Cheng arXiv preprint arXiv:2408.07753, 2024		2024

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