| cosformer: Rethinking softmax in attention Z Qin, W Sun, H Deng, D Li, Y Wei, B Lv, J Yan, L Kong, Y Zhong arXiv preprint arXiv:2202.08791, 2022 | 366 | 2022 |
| Audio–visual segmentation J Zhou, J Wang, J Zhang, W Sun, J Zhang, S Birchfield, D Guo, L Kong, ... European Conference on Computer Vision, 386-403, 2022 | 249 | 2022 |
| The Devil in Linear Transformer Z Qin, XD Han, W Sun, D Li, L Kong, N Barnes, Y Zhong EMNLP 2022, 2022 | 120 | 2022 |
| Audio-Visual Segmentation with Semantics arXiv preprint arXiv:2301.13190, 2023 | 109* | 2023 |
| Hgrn2: Gated linear rnns with state expansion Z Qin, S Yang, W Sun, X Shen, D Li, W Sun, Y Zhong arXiv preprint arXiv:2404.07904, 2024 | 99 | 2024 |
| Minimax-01: Scaling foundation models with lightning attention A Li, B Gong, B Yang, B Shan, C Liu, C Zhu, C Zhang, C Guo, D Chen, ... arXiv preprint arXiv:2501.08313, 2025 | 84 | 2025 |
| Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning W Sun, J Zhang, J Wang, Z Liu, Y Zhong, T Feng, Y Guo, Y Zhang, ... CVPR 2023, 2023 | 80 | 2023 |
| Bi-directional Training for Composed Image Retrieval via Text Prompt Learning Z Liu, W Sun, Y Hong, D Teney, S Gould WACV 2024, 2023 | 72 | 2023 |
| Blockfusion: Expandable 3d scene generation using latent tri-plane extrapolation Z Wu, Y Li, H Yan, T Shang, W Sun, S Wang, R Cui, W Liu, H Sato, H Li, ... ACM Transactions on Graphics (ToG) 43 (4), 1-17, 2024 | 64 | 2024 |
| Vicinity vision transformer W Sun, Z Qin, H Deng, J Wang, Y Zhang, K Zhang, N Barnes, S Birchfield, ... TPAMI 2023, 2023 | 57 | 2023 |
| Lightning attention-2: A free lunch for handling unlimited sequence lengths in large language models Z Qin, W Sun, D Li, X Shen, W Sun, Y Zhong arXiv preprint arXiv:2401.04658, 2024 | 49 | 2024 |
| Toeplitz Neural Network for Sequence Modeling Z Qin, X Han, W Sun, B He, D Li, D Li, Y Dai, L Kong, Y Zhong ICLR 2023, 2023 | 45 | 2023 |
| An alternative to wsss? an empirical study of the segment anything model (sam) on weakly-supervised semantic segmentation problems W Sun, Z Liu, Y Zhang, Y Zhong, N Barnes arXiv preprint arXiv:2305.01586, 2023 | 42 | 2023 |
| Scaling transnormer to 175 billion parameters Z Qin, D Li, W Sun, W Sun, X Shen, X Han, Y Wei, B Lv, F Yuan, X Luo, ... arXiv preprint arXiv:2307.14995 4, 2023 | 39 | 2023 |
| Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder Z Liu, W Sun, D Teney, S Gould TMLR 2023, 2023 | 35 | 2023 |
| Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention Z Qin, W Sun, D Li, X Shen, W Sun, Y Zhong ICML 2024, 2024 | 29 | 2024 |
| Inferring the class conditional response map for weakly supervised semantic segmentation W Sun, J Zhang, N Barnes WACV 2022, 2022 | 25 | 2022 |
| Getam: Gradient-weighted element-wise transformer attention map for weakly-supervised semantic segmentation W Sun, J Zhang, Z Liu, Y Zhong, N Barnes arXiv preprint arXiv:2112.02841, 2021 | 24 | 2021 |
| Transnormerllm: A faster and better large language model with improved transnormer Z Qin, D Li, W Sun, W Sun, X Shen, X Han, Y Wei, B Lv, X Luo, Y Qiao, ... arXiv preprint arXiv:2307.14995, 2023 | 22 | 2023 |
| Neural architecture search on efficient transformers and beyond Z Liu, D Li, K Lu, Z Qin, W Sun, J Xu, Y Zhong arXiv preprint arXiv:2207.13955, 2022 | 22 | 2022 |
Yiran ZhongPhD, Australian National UniversityVerified email at anu.edu.au
