| 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, ... ACL 2025 main conference, 2025 | 215* | 2025 |
| 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 | 143* | 2022 |
| Large language model agent: A survey on methodology, applications and challenges J Luo, W Zhang, Y Yuan, Y Zhao, J Yang, Y Gu, B Wu, B Chen, Z Qiao, ... arXiv preprint arXiv:2503.21460, 2025 | 134* | 2025 |
| 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 | 125 | 2021 |
| 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 | 91 | 2024 |
| Accelerating CNN training by pruning activation gradients X Ye, P Dai, J Luo, X Guo, Y Qi, J Yang, Y Chen ECCV'20, 2020 | 64 | 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 | 54* | 2024 |
| 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 | 37 | 2020 |
| 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 | 34 | 2024 |
| Automate strategy finding with llm in quant investment Z Kou, H Yu, J Luo, J Peng, X Li, C Liu, J Dai, L Chen, S Han, Y Guo arXiv preprint arXiv:2409.06289, 2024 | 23 | 2024 |
| Semi-supervised Fine-tuning for Large Language Models J Luo, X Luo, X Chen, Z Xiao, W Ju, M Zhang (NAACL'25 Find) Findings of the Association for Computational Linguistics …, 2025 | 18* | 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 | 16 | 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 | 16 | 2024 |
| Towards agentic rag with deep reasoning: A survey of rag-reasoning systems in llms Y Li, W Zhang, Y Yang, WC Huang, Y Wu, J Luo, Y Bei, HP Zou, X Luo, ... arXiv preprint arXiv:2507.09477, 2025 | 15 | 2025 |
| From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents W Zhang, Y Li, Y Bei, J Luo, G Wan, L Yang, C Xie, Y Yang, WC Huang, ... arXiv preprint arXiv:2506.18959, 2025 | 15 | 2025 |
| 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 | 15 | 2021 |
| FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation J Luo, Z Kou, L Yang, X Luo, J Huang, Z Xiao, J Peng, C Liu, J Ji, X Liu, ... ACL 2025 main conference, 2025 | 10 | 2025 |
| 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 (NeurIPS'24) The Thirty-eighth Annual Conference on Neural Information …, 2024 | 9 | 2024 |
| MASS: Multi-Agent Simulation Scaling for Portfolio Construction T Guo, H Shen, J Huang, Z Mao, J Luo, Z Chen, X Liu, B Xia, L Liu, Y Ma, ... arXiv preprint arXiv:2505.10278, 2025 | 8 | 2025 |
| Attention Bootstrapping for Multi-Modal Test-Time Adaptation Y Zhao, J Luo, X Luo, J Huang, J Yuan, Z Xiao, M Zhang AAAI 2025, 2025 | 7 | 2025 |
Ming Zhang（张铭）Professor,Peking UniversityVerified email at pku.edu.cn
