| 3D-SPS: Single-stage 3D visual grounding via referred point progressive selection J Luo*, J Fu*, X Kong, C Gao, H Ren, H Shen, H Xia, S Liu (CVPR'22 Oral) IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 96* | 2022 |
| Transrefer3D: Entity-and-relation aware transformer for fine-grained 3d visual grounding D He*, Y Zhao*, J Luo*, T Hui, S Huang, A Zhang, S Liu (MM'21) ACM International Conference on Multimedia, 2021 | 93 | 2021 |
| Accelerating CNN training by pruning activation gradients X Ye, P Dai, J Luo, X Guo, Y Qi, J Yang, Y Chen ECCV'20, 2020 | 48 | 2020 |
| SparseTrain: Exploiting dataflow sparsity for efficient convolutional neural networks training P Dai, J Yang, X Ye, X Cheng, J Luo, L Song, Y Chen, W Zhao (DAC'20) ACM/IEEE Design Automation Conference, 2020 | 33 | 2020 |
| A survey of data-efficient graph learning W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang (IJCAI'24) Proceedings of the Thirty-Third International Joint Conference on …, 2024 | 29* | 2024 |
| Towards graph contrastive learning: A survey and beyond W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ... arXiv preprint arXiv:2405.11868, 2024 | 25 | 2024 |
| FedSkel: efficient federated learning on heterogeneous systems with skeleton gradients update J Luo, J Yang, X Ye, X Guo, W Zhao (CIKM'21) ACM International Conference on Information & Knowledge Management, 2021 | 13 | 2021 |
| GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation J Luo, Y Gu, X Luo, W Ju, Z Xiao, Y Zhao, J Yuan, M Zhang (TPAMI'24) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 6 | 2024 |
| SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation J Luo, X Luo, X Chen, Z Xiao, W Ju, M Zhang arXiv preprint arXiv:2410.14745, 2024 | 3 | 2024 |
| Rank and Align: Towards Effective Source-free Graph Domain Adaptation J Luo, Z Xiao, Y Wang, X Luo, J Yuan, W Ju, L Liu, M Zhang (IJCAI'24) Proceedings of the Thirty-Third International Joint Conference on …, 2024 | 3 | 2024 |
| A comprehensive graph pooling benchmark: Effectiveness, robustness and generalizability P Wang, J Luo, Y Shen, M Zhang, S Heng, X Luo arXiv preprint arXiv:2406.09031, 2024 | 2 | 2024 |
| EGODE: An event-attended graph ODE framework for modeling rigid dynamics J Yuan, G Sun, Z Xiao, H Zhou, X Luo, J Luo, Y Zhao, W Ju, M Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| Multi-View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation Y Tang*, J Luo*, L Yang, X Luo, W Zhang, B Cui (ICDE'24) IEEE International Conference on Data Engineering, 2598-2611, 2024 | 1 | 2024 |
| Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention J Yuan, H Gao, D Dai, J Luo, L Zhao, Z Zhang, Z Xie, YX Wei, L Wang, ... arXiv preprint arXiv:2502.11089, 2025 | | 2025 |
| RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response J Luo, X Luo, K Ding, J Yuan, Z Xiao, M Zhang arXiv preprint arXiv:2412.14922, 2024 | | 2024 |
| DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation P Wang, Y Cao, C Russell, S Heng, J Luo, Y Shen, X Luo arXiv preprint arXiv:2409.08946, 2024 | | 2024 |
Xiao LuoUCLAยืนยันอีเมลแล้วที่ cs.ucla.edu