Switchable Online Knowledge Distillation B Qian, Y Wang, H Yin, R Hong, M Wang ECCV 2022, Tel-Aviv, Israel, 2022 | 55 | 2022 |
Adaptive Data-Free Quantization Biao Qian, Yang Wang, Richang Hong, Meng Wang CVPR 2023, Vancouver, Canada, 2023 | 50* | 2023 |
Rethinking Data-free Quantization as a Zero-sum Game Biao Qian, Yang Wang, Richang Hong, Meng Wang AAAI 2023, Washington, USA, 2023 | 26* | 2023 |
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting Haipeng Liu, Yang Wang, Biao Qian, Meng Wang, Yong Rui CVPR 2024, Seattle, USA, 2024 | 19* | 2024 |
Diversifying inference path selection: Moving-mobile-network for landmark recognition B Qian, Y Wang, R Hong, M Wang, L Shao IEEE Transactions on Image Processing 30, 4894-4904, 2021 | 16 | 2021 |
Unpacking the Gap Box Against Data-Free Knowledge Distillation Yang Wang, Biao Qian, Haipeng Liu, Yong Rui, Meng Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 11 | 2024 |
Fine-grained cross-modal fusion based refinement for text-to-image synthesis S Haoran, W Yang, L Haipeng, Q Biao Chinese Journal of Electronics 32 (6), 1329-1340, 2023 | 4 | 2023 |
Seeking False Hard Negatives for Graph Contrastive Learning Xin Liu, Biao Qian, Haipeng Liu, Yang Wang, Meng Wang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 2 | 2024 |
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation Y Wang, H Liu, Z Yi, B Qian, M Wang arXiv preprint arXiv:2501.11870, 2025 | | 2025 |
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting Supplementary Material H Liu, Y Wang, B Qian, M Wang, Y Rui | | |