| Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning W Nie, Z Yu, L Mao, AB Patel, Y Zhu, A Anandkumar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 54 | 2020 |
| CRM1 is a cellular target of curcumin: new insights for the myriad of biological effects of an ancient spice M Niu, S Wu, L Mao, Y Yang Traffic 14 (10), 1042-1052, 2013 | 52 | 2013 |
| Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... International Conference on Machine Learning (ICML), 2021 | 37 | 2021 |
| Traditional herbal medicine-derived sulforaphene promotes mitophagic cell death in lymphoma cells through CRM1-mediated p62/SQSTM1 accumulation and AMPK activation H Wang, F Wang, S Wu, Z Liu, T Li, L Mao, J Zhang, C Li, C Liu, Y Yang Chemico-Biological Interactions 281, 11-23, 2018 | 35 | 2018 |
| Traditional herbal medicine-derived sulforaphene LFS-01 reverses colitis in mice by selectively altering the gut microbiota and promoting intestinal gamma-delta T cells M Li, J Gao, Y Tang, M Liu, S Wu, K Qu, X Long, H Li, M Liu, Y Liu, J Yuan, ... Frontiers in Pharmacology 8, 959, 2018 | 35 | 2018 |
| Structural pruning via latency-saliency knapsack M Shen, H Yin, P Molchanov, L Mao, J Liu, JM Alvarez Advances in Neural Information Processing Systems 35, 12894-12908, 2022 | 34 | 2022 |
| Targeting the nuclear transport machinery by rational drug design L Mao, Y Yang Current pharmaceutical design 19 (12), 2318-2325, 2013 | 34 | 2013 |
| Halp: hardware-aware latency pruning M Shen, H Yin, P Molchanov, L Mao, J Liu, JM Alvarez arXiv preprint arXiv:2110.10811, 2021 | 20 | 2021 |
| Reinforcement Learning in Factored Action Spaces using Tensor Decompositions A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021), 2021 | 10 | 2021 |
| A Farnesyltransferase Acts to Inhibit Ectopic Neurite Formation in C. elegans D Carr, L Sanchez-Alvarez, JH Imai, C Slatculescu, N Noblett, L Mao, ... PloS one 11 (6), e0157537, 2016 | 6 | 2016 |
| Hardware-aware latency pruning for real-time 3d object detection M Shen, L Mao, J Chen, J Hsu, X Sun, O Knieps, C Maxim, JM Alvarez 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 2 | 2023 |
| Towards dynamic sparsification by iterative prune-grow lookaheads X Sun, M Shen, H Yin, L Mao, P Molchanov, JM Alvarez | 1 | 2022 |
| Step Out and Seek Around: On Warm-Start Training with Incremental Data M Shen, H Yin, P Molchanov, L Mao, JM Alvarez arXiv preprint arXiv:2406.04484, 2024 | | 2024 |
| Dynamic neural network model sparsification JMA Lopez, P Molchanov, H Yin, M Shen, L Mao, SUN Xinglong US Patent App. 18/203,552, 2024 | | 2024 |
| Performance-aware size reduction for neural networks M Shen, P Molchanov, H Yin, L Mao, J Liu, JMA Lopez US Patent App. 17/398,673, 2023 | | 2023 |
| Biochemical Characterization of Human Exonuclease 1 Protein-protein Interactions L Mao Duke University, 2016 | | 2016 |
Sijin WuAcademy of Pharmacy, Xi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
