| Local augmentation for graph neural networks S Liu, R Ying#, H Dong, L Li#, T Xu, Y Rong, P Zhao, J Huang, D Wu# ICML 2022 - International Conference on Machine Learning, 14054-14072, 2022 | 127 | 2022 |
| Hierarchical graph learning for protein–protein interaction Z Gao, C Jiang, J Zhang, X Jiang, L Li, P Zhao, H Yang, Y Huang, J Li Nature Communications 14 (1), 1093, 2023 | 109 | 2023 |
| DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery–a Focus on Affinity Prediction Problems with Noise Annotations Y Ji, L Zhang, J Wu, B Wu, L Li, LK Huang, T Xu, Y Rong, J Ren, D Xue, ... AAAI 2023 - Proceedings of the AAAI Conference on Artificial Intelligence 37 …, 2023 | 108* | 2023 |
| Focal: Efficient fully-offline meta-reinforcement learning via distance metric learning and behavior regularization L Li, R Yang, D Luo ICLR 2021 - International Conference on Learning Representations, 2021, 2021 | 80 | 2021 |
| Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao NeurIPS 2022 - Advances in Neural Information Processing Systems, 2022, 2022 | 42 | 2022 |
| Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition Z Zhou*, L Li*, P Zhao, PA Heng, W Gong CVPR 2023 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023 | 33 | 2023 |
| Theory of self-resonance after inflation. I. Adiabatic and isocurvature Goldstone modes MP Hertzberg, J Karouby, WG Spitzer, JC Becerra, L Li Physical Review D 90 (12), 123528, 2014 | 32 | 2014 |
| Value penalized Q-learning for recommender systems C Gao, K Xu, K Zhou, L Li, X Wang, B Yuan, P Zhao SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 29 | 2022 |
| Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents S Zhu, Q Bai, L Li, T Xu Computational and Structural Biotechnology Journal 20, 2839-2847, 2022 | 25 | 2022 |
| ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification L Zeng, L Li#, Z Gao, P Zhao, J Li# AAAI 2023, 2022 | 23 | 2022 |
| igrow: A smart agriculture solution to autonomous greenhouse control X Cao, Y Yao, L Li, W Zhang, Z An, Z Zhang, L Xiao, S Guo, X Cao, M Wu, ... AAAI 2022 - Proceedings of the AAAI Conference on Artificial Intelligence 36 …, 2022 | 22 | 2022 |
| Provably improved context-based offline meta-rl with attention and contrastive learning L Li, Y Huang, M Chen, S Luo, D Luo, J Huang arXiv preprint arXiv:2102.10774, 2021 | 22 | 2021 |
| Theory of self-resonance after inflation. II. Quantum mechanics and particle-antiparticle asymmetry MP Hertzberg, J Karouby, WG Spitzer, JC Becerra, L Li Physical Review D 90 (12), 123529, 2014 | 22 | 2014 |
| Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Z Gao, Y Niu, J Cheng, J Tang, T Xu, P Zhao, L Li#, F Tsung, J Li# AAAI 2023, 2022 | 16 | 2022 |
| A simulator-based planning framework for optimizing autonomous greenhouse control strategy Z An, X Cao, Y Yao, W Zhang, L Li, Y Wang, S Guo, D Luo ICAPS 2021 - Proceedings of the International Conference on Automated …, 2021 | 11 | 2021 |
| On the Pitfall of Mixup for Uncertainty Calibration DB Wang, L Li#, P Zhao, PA Heng, ML Zhang# CVPR 2023 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023 | 9 | 2023 |
| Bias-reduced multi-step hindsight experience replay for efficient multi-goal reinforcement learning R Yang, J Lyu, Y Yang, J Yan, F Luo, D Luo, L Li, X Li arXiv preprint arXiv:2102.12962, 2021 | 9* | 2021 |
| Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning L Li, H Zhang, X Zhang, S Zhu, J Zhao, PA Heng NeurIPS 2024 Spotlight - Advances in Neural Information Processing Systems, 2024, 2024 | 7 | 2024 |
| Imdrug: A benchmark for deep imbalanced learning in ai-aided drug discovery L Li, L Zeng, Z Gao, S Yuan, Y Bian, B Wu, H Zhang, Y Yu, C Lu, Z Zhou, ... arXiv preprint arXiv:2209.07921, 2022 | 7 | 2022 |
| Robust imitation learning from corrupted demonstrations L Liu, Z Tang, L Li, D Luo arXiv preprint arXiv:2201.12594, 2022 | 7 | 2022 |
Peilin Zhao (赵沛霖)TencentBestätigte E-Mail-Adresse bei tencent.com
