| 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 | 51 | 2015 |
| 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 | 50 | 2021 |
| 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 | 47 | 2017 |
| 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 | 42 | 2014 |
| 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 | 38 | 2014 |
| 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 | 38 | 2012 |
| 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 | 37 | 2023 |
| 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 | 32 | 2015 |
| 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 | 31 | 2021 |
| 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 | 25 | 2020 |
| 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 | 22 | 2023 |
| 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 | 18 | 2023 |
| 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 | 11 | 2023 |
| Table2Graph: Transforming Tabular Data to Unified Weighted Graph. K Zhou, Z Liu, R Chen, L Li, SH Choi, X Hu IJCAI, 2420-2426, 2022 | 9 | 2022 |
| 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 | 9 | 2020 |
| 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 | 9 | 2019 |
| 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 | 9 | 2018 |
| 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 | 8 | 2022 |
| 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 | 8 | 2019 |
Rui ChenChief Scientist, Samsung Ads / Senior Director of Engineering (AI), Samsung Research AmericaVerified email at samsung.com
