| 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), 2022 | 196* | 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 | 161* | 2022 |
| 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 | 114 | 2022 |
| 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 | 102* | 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 | 94 | 2022 |
| DDP: Diffusion model for dense visual prediction Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu, Z Li, P Luo International Conference on Computer Vision (ICCV), 2023 | 92 | 2023 |
| 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 | 88 | 2021 |
| 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 | 86 | 2019 |
| 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 | 78 | 2021 |
| 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 | 77 | 2020 |
| 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 | 66 | 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 | 64 | 2021 |
| 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 | 62 | 2021 |
| MagicDrive: Street View Generation with Diverse 3D Geometry Control R Gao, K Chen, E Xie, L Hong, Z Li, DY Yeung, Q Xu International Conference on Learning Representations (ICLR), 2023 | 58 | 2023 |
| 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 | 48 | 2021 |
| When is Acceleration Unnecessary in a Degradation Test? L Hong, Z Ye Statistica Sinica, 1461-1483, 2017 | 47 | 2017 |
| Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning Y Gou, Z Liu, K Chen, L Hong, H Xu, A Li, DY Yeung, JT Kwok, Y Zhang arXiv preprint arXiv:2312.12379, 2023 | 46 | 2023 |
| 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 | 46* | 2022 |
| CLAD: a Realistic Continual Learning Benchmark for Autonomous Driving E Verwimp, K Yang, S Parisot, H Lanqing, S McDonagh, E Pérez-Pellitero, ... Neural Networks, 2023 | 45 | 2023 |
| 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 | 42 | 2021 |
Dit-Yan YeungChair Professor, Department of CSE, HKUST, Hong KongVerified email at cse.ust.hk
