Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition Y Zhang, B Hooi, L Hong, J Feng Advances in Neural Information Processing Systems (NeurIPS) 35, 34077-34090, 2022 | 107* | 2022 |
OOD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization N Ye, K Li, H Bai, R Yu, L Hong, F Zhou, Z Li, J Zhu Computer Vision and Pattern Recognition (CVPR), 2022 | 94* | 2022 |
Thinning ferroelectric films for high-efficiency photovoltaics based on the Schottky barrier effect Z Tan, L Hong, Z Fan, J Tian, L Zhang, Y Jiang, Z Hou, D Chen, M Qin, ... NPG Asia Materials 11 (1), 20, 2019 | 66 | 2019 |
An artificial optoelectronic synapse based on a photoelectric memcapacitor L Zhao, Z Fan, S Cheng, L Hong, Y Li, G Tian, D Chen, Z Hou, M Qin, ... Advanced Electronic Materials 6 (2), 1900858, 2020 | 57 | 2020 |
Memory Replay with Data Compression for Continual Learning L Wang, X Zhang, K Yang, L Yu, C Li, L Hong, S Zhang, Z Li, Y Zhong, ... International Conference on Learning Representations (ICLR), 2022 | 56 | 2022 |
DecAug: Out-of-distribution generalization via decomposed feature representation and semantic augmentation H Bai, R Sun, L Hong, F Zhou, N Ye, HJ Ye, SHG Chan, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2021 | 51 | 2021 |
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving J Han, X Liang, H Xu, K Chen, L Hong, C Ye, W Zhang, Z Li, X Liang, ... NeurIPS 2021 Datasets and Benchmarks Track, 2021 | 50* | 2021 |
OrdisCo: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning L Wang, K Yang, C Li, L Hong, Z Li, J Zhu Computer Vision and Pattern Recognition (CVPR), 5383-5392, 2021 | 50 | 2021 |
A random-effects Wiener degradation model based on accelerated failure time Q Zhai, P Chen, L Hong, L Shen Reliability Engineering & System Safety 180, 94-103, 2018 | 50 | 2018 |
An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing J Rao, Z Fan, L Hong, S Cheng, Q Huang, J Zhao, X Xiang, EJ Guo, ... Materials Today Physics 18, 100392, 2021 | 46 | 2021 |
When is acceleration unnecessary in a degradation test? L Hong, Z Ye Statistica Sinica, 1461-1483, 2017 | 42 | 2017 |
MultiSiam: Self-supervised multi-instance siamese representation learning for autonomous driving K Chen, L Hong, H Xu, Z Li, DY Yeung International Conference on Computer Vision (ICCV), 7546-7554, 2021 | 40 | 2021 |
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving K Li, K Chen, H Wang, L Hong, C Ye, J Han, Y Chen, W Zhang, C Xu, ... European Conference on Computer Vision (ECCV), 2022 | 37 | 2022 |
Adversarial robustness for unsupervised domain adaptation M Awais, F Zhou, H Xu, L Hong, P Luo, SH Bae, Z Li International Conference on Computer Vision (ICCV), 8568-8577, 2021 | 30 | 2021 |
Highly controllable and silicon-compatible ferroelectric photovoltaic synapses for neuromorphic computing S Cheng, Z Fan, J Rao, L Hong, Q Huang, R Tao, Z Hou, M Qin, M Zeng, ... iScience 23 (12), 101874, 2020 | 30 | 2020 |
NAS-OOD: Neural architecture search for out-of-distribution generalization H Bai, F Zhou, L Hong, N Ye, SHG Chan, Z Li International Conference on Computer Vision (ICCV), 8320-8329, 2021 | 29 | 2021 |
How Well Self-Supervised Pre-Training Performs with Streaming Data? D Hu, Q Lu, L Hong, H Hu, Y Zhang, Z Li, J Feng International Conference on Learning Representations (ICLR), 2022 | 28* | 2022 |
MetaAugment: Sample-Aware Data Augmentation Policy Learning F Zhou, J Li, C Xie, F Chen, L Hong, R Sun, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2021 | 27 | 2021 |
System reliability evaluation under dynamic operating conditions L Hong, Q Zhai, X Wang, ZS Ye IEEE Transactions on Reliability 68 (3), 800-809, 2018 | 27 | 2018 |
Interval estimation for Wiener processes based on accelerated degradation test data L Hong, ZS Ye, J Kartika Sari IISE Transactions 50 (12), 1043-1057, 2018 | 25 | 2018 |