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Li Li
Li Li
Samsung Research America
Verified email at udel.edu - Homepage
Title
Cited by
Cited by
Year
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
NeurIPS 2021, 2021
96*2021
Invertible Subset QC-LDPC Codes for PAPR Reduction of OFDM Signals
S Shu, D Qu, L Li, T Jiang
IEEE Transactions on Broadcasting 61 (2), 290 - 298, 2015
512015
EXACT: Scalable graph neural networks training via extreme activation compression
Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu
International Conference on Learning Representations (2022), 2021
492021
Coexistence of Wi-Fi and LAA networks with adaptive energy detection
L Li, JP Seymour, LJ Cimini, CC Shen
IEEE Transactions on Vehicular Technology 66 (11), 10384-10393, 2017
472017
Invertible subset LDPC code for PAPR reduction in OFDM systems with low complexity
D Qu, L Li, T Jiang
IEEE Transactions on wireless communications 13 (4), 2204-2213, 2014
422014
Partition optimization in LDPC-coded OFDM systems with PTS PAPR reduction
L Li, D Qu, T Jiang
IEEE Transactions on Vehicular Technology 63 (8), 4108-4113, 2014
382014
Joint decoding of LDPC code and phase factors for OFDM systems with PTS PAPR reduction
L Li, D Qu
IEEE Transactions on Vehicular technology 62 (1), 444-449, 2012
382012
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking Authors
Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
372023
Interference cancellation in in-band full-duplex underwater acoustic systems
L Li, A Song, LJ Cimini, XG Xia, CC Shen
OCEANS 2015-MTS/IEEE Washington, 1-6, 2015
322015
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu
International Conference on Learning Representations, 2021
312021
Explainable recommender systems via resolving learning representations
N Liu, Y Ge, L Li, X Hu, R Chen, SH Choi
ACM International Conference on Information & Knowledge Management (CIKM …, 2020
252020
Bring your own view: Graph neural networks for link prediction with personalized subgraph selection
Q Tan, X Zhang, N Liu, D Zha, L Li, R Chen, SH Choi, X Hu
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
222023
Denoising and Prompt-Tuning for Multi-Behavior Recommendation
C Zhang, X Zhao, R Chen, Q Han, L Li
Proceedings of the ACM Web Conference 2023 (WWW '23), 2023
182023
Adaptive label smoothing to regularize large-scale graph training
K Zhou, SH Choi, Z Liu, N Liu, F Yang, R Chen, L Li, X Hu
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
112023
Table2Graph: Transforming Tabular Data to Unified Weighted Graph.
K Zhou, Z Liu, R Chen, L Li, SH Choi, X Hu
IJCAI, 2420-2426, 2022
92022
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Y Wang, Y Ge, L Li, R Chen, T Xu
Offline Reinforcement Learning Workshop at NeurIPS 2020, 2020
92020
Multi-carrier LAA with adaptive energy detection and carrier selection
L Li, S Salehi, CC Shen, J Graybeal, LJ Cimini
2019 IEEE 90th Vehicular Technology Conference, 2019
92019
Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol
S Salehi, L Li, CC Shen, LJ Cimini, J Graybeal
IEEE VTC 2018 Fall, 2018
92018
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation
C Zhang, Y Du, X Zhao, Q Han, R Chen, L Li
CIKM '22: Proceedings of the 31st ACM International Conference on …, 2022
82022
A dynamic neural network model for click-through rate prediction in real-time bidding
X Qu, L Li, X Liu, R Chen, G Yong, SH Choi
IEEE International Conference on Big Data, 2019
82019
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Articles 1–20